US Voter Data Compilation

Aug 10, 2026

190,721,686

Records

610

Files

Aug 10, 2026

Added

A large compilation of US voter registration data spanning multiple states (Alabama, Alaska, Arkansas, Colorado, Connecticut, and likely others) with records from 2015 through 2021. Contains detailed voter registration information including full names, residential addresses, birth year, gender, party affiliation, phone numbers, mailing addresses, precinct and district assignments, voter status, and registration dates. Data appears to have been collected from publicly available or officially obtained state voter rolls and assembled into a single archive, then shared on BreachForums (indicated by 'BF' suffix in folder name).

Data found in this dataset

EmailFirst nameLast nameMiddle nameAddressCityStateCountryGenderSuffixaddress2zipdobphonefullNameskipssnpartyAffiliationcountyregistrationDate

Source files

Expand any file to inspect its column headers and the LLM's field-mapping reasoning, recorded during ingestion.

USVoterData_BF__data__Colorado__2017__Info__Public_EX-003-File_Layout__EX-003-Registered_Voters_List.csv

26 columns1 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names
6	suffix	high	[6] header 'NAME_SUFFIX', values are generational suffixes
11	address1	high	[11] header 'HOUSE_NUM', house number in residential address
12	address2	high	[12] header 'HOUSE_SUFFIX', part of residential address
13	address2	high	[13] header 'PRE_DIR', directional prefix in residential address
14	address1	high	[14] header 'STREET_NAME', part of residential address
15	address2	high	[15] header 'STREET_TYPE', street type (e.g., St, Ave) in residential address
16	address2	high	[16] header 'POST_DIR', directional suffix in residential address
17	address2	high	[17] header 'UNIT_TYPE', unit type (e.g., Apt, Suite) in residential address
18	address2	high	[18] header 'UNIT_NUM', unit number in residential address
21	city	high	[21] header 'RESIDENTIAL_CITY', city of residential address
22	state	high	[22] header 'RESIDENTIAL_STATE', 2-letter state abbreviation
23	zip	high	[23] header 'RESIDENTIAL_ZIP_CODE', 5-digit ZIP code
24	zip	high	[24] header 'RESIDENTIAL_ZIP_PLUS', ZIP+4 extension
29	dob	high	[29] header 'BIRTH_YEAR', year component of DOB
31	gender	high	[31] header 'GENDER', values are M/F or Male/Female
37	phone	high	[37] header 'PHONE_NUM', values are 10-digit phone numbers
38	address1	high	[38] header 'MAILING_ADDRESS_1', first line of mailing address
39	address2	high	[39] header 'MAILING_ADDRESS_2', second line of mailing address
41	city	high	[41] header 'MAILING_CITY', city of mailing address
42	state	high	[42] header 'MAILING_STATE', 2-letter state abbreviation
43	zip	high	[43] header 'MAILING_ZIP_CODE', 5-digit ZIP code
44	zip	high	[44] header 'MAILING_ZIP_PLUS', ZIP+4 extension
45	country	high	[45] header 'MAILING_COUNTRY', country name

Notes: 47 columns total, 24 contain PII: names, addresses, DOB, gender, phone, country. All others are internal IDs, status codes, precinct info, party affiliation, dates, flags — none qualify as PII under the rules.

USVoterData_BF__data__Colorado__2017__Info__SPLIT_DISTRICTS.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. File contains only jurisdictional codes and district names (Adams county, precinct codes, district types, etc.). These are administrative identifiers and not personally identifiable information per the defined field types.

USVoterData_BF__data__Colorado__2020__Voters_List__Registered_Voters_List__Part4.txt

11 columns499,994 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or capitalized middle names
7	fullName	high	[7] header 'VOTER_NAME', values combine LAST_NAME, FIRST_NAME, and MIDDLE_NAME
19	address1	high	[19] header 'RESIDENTIAL_ADDRESS', values are full street addresses
20	city	high	[20] header 'RESIDENTIAL_CITY', values are city names
21	state	high	[21] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
22	zip	high	[22] header 'RESIDENTIAL_ZIP_CODE', values are 5-digit zip codes
28	dob	high	[28] header 'BIRTH_YEAR', values are 4-digit years indicating birth year
29	gender	high	[29] header 'GENDER', values are 'Female' and 'Male'
36	phone	high	[36] header 'PHONE_NUM', values are 10-digit phone numbers

Notes: 51 columns total, 11 contain PII: lastName, firstName, middleName, fullName, address1, city, state, zip, dob, gender, phone. All other columns are internal IDs, codes, status flags, district info, or non-PII demographic data.

USVoterData_BF__data__Colorado__2020__Voters_List__Registered_Voters_List__Part6.txt

11 columns499,992 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are capitalized middle names
7	fullName	high	[7] header 'VOTER_NAME', values combine LAST_NAME, FIRST_NAME, and MIDDLE_NAME
19	address1	high	[19] header 'RESIDENTIAL_ADDRESS', values are full street addresses
20	city	high	[20] header 'RESIDENTIAL_CITY', values are city names
21	state	high	[21] header 'RESIDENTIAL_STATE', all values are 'CO' (Colorado)
22	zip	high	[22] header 'RESIDENTIAL_ZIP_CODE', values are 5-digit ZIP codes
28	dob	high	[28] header 'BIRTH_YEAR', values are 4-digit years (1983-1983)
29	gender	high	[29] header 'GENDER', values are 'Female' and 'Male'
36	phone	high	[36] header 'PHONE_NUM', values are 10-digit phone numbers

Notes: 51 columns total, 11 contain PII. All other columns are internal IDs, geographic codes, status flags, district information, or other non-PII data. No unstructured data detected.

USVoterData_BF__data__Colorado__2020__Voters_List__Registered_Voters_List__Part7.txt

18 columns499,992 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names
6	suffix	high	[6] header 'NAME_SUFFIX', values like 'JR' are generational suffixes
7	fullName	high	[7] header 'VOTER_NAME', values are full name strings in LAST, FIRST MIDDLE format
19	address1	high	[19] header 'RESIDENTIAL_ADDRESS', values are street addresses
20	city	high	[20] header 'RESIDENTIAL_CITY', values are city names
21	state	high	[21] header 'RESIDENTIAL_STATE', values are state abbreviations
22	zip	high	[22] header 'RESIDENTIAL_ZIP_CODE', values are 5-digit ZIP codes
28	dob	high	[28] header 'BIRTH_YEAR', values are 4-digit birth years
29	gender	high	[29] header 'GENDER', values are 'Male'/'Female'
36	phone	high	[36] header 'PHONE_NUM', values are 10-digit phone numbers
37	address1	medium	[37] header 'MAIL_ADDR1', mailing address line 1 (sparse but is PII address)
38	address2	medium	[38] header 'MAIL_ADDR2', mailing address line 2
40	city	medium	[40] header 'MAILING_CITY', mailing city
41	state	medium	[41] header 'MAILING_STATE', mailing state
42	zip	medium	[42] header 'MAILING_ZIP_CODE', mailing ZIP code
44	country	medium	[44] header 'MAILING_COUNTRY', mailing country

Notes: 51 columns total; Colorado voter registration data. BIRTH_YEAR mapped as dob (year component only). MAIL_ADDR3 (col 39) skipped as it is a tertiary address continuation with no samples. Residential address components (HOUSE_NUM, STREET_NAME, etc., cols 11-18) are subcomponents already composed into RESIDENTIAL_ADDRESS col 19; skipped to avoid duplication. VOTER_ID, precinct/district fields, party, status, and registration dates are non-PII administrative fields and skipped.

USVoterData_BF__data__Colorado__2020__Voters_List__Registered_Voters_List__Part9.txt

12 columns201,890 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
6	suffix	high	[6] header 'NAME_SUFFIX', value 'JR' is a generational suffix
7	fullName	high	[7] header 'VOTER_NAME', values combine LAST_NAME, FIRST_NAME, MIDDLE_NAME in 'LAST, FIRST MIDDLE' format
19	address1	high	[19] header 'RESIDENTIAL_ADDRESS', values are full street addresses
20	city	high	[20] header 'RESIDENTIAL_CITY', values are city names
21	state	high	[21] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
22	zip	high	[22] header 'RESIDENTIAL_ZIP_CODE', values are 5-digit ZIP codes
28	dob	high	[28] header 'BIRTH_YEAR', values are 4-digit years (1923-1970) — combined with other voter data, this is birth year
29	gender	high	[29] header 'GENDER', values are 'Male'/'Female'
36	phone	high	[36] header 'PHONE_NUM', values are 10-digit US phone numbers

Notes: 51 total columns; 9 contain PII (names, address, DOB, gender, phone). All others are voter IDs, codes, precinct info, party affiliation, status flags, and district assignments — no PII. Data is US voter registration records from Colorado (CO) with full residential addresses and birth years.

USVoterData_BF__data__Colorado__2021__Info__Public_EX-003-File_Layout__EX-003-Registered_Voters_List.csv

17 columns1 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are common middle names
6	suffix	high	[6] header 'NAME_SUFFIX', values are generational suffixes (Jr, Sr, III, IV)
14	address1	high	[14] header 'STREET_NAME', values are street names
15	address2	high	[15] header 'STREET_TYPE', values indicate street type (St, Ave, Blvd)
20	city	high	[20] header 'RESIDENTIAL_CITY', values are city names
21	state	high	[21] header 'RESIDENTIAL_STATE', values are 2-letter US state abbreviations
22	zip	high	[22] header 'RESIDENTIAL_ZIP_CODE', values are 5-digit ZIP codes
28	dob	high	[28] header 'BIRTH_YEAR', values are 4-digit years
30	gender	high	[30] header 'GENDER', values are M/F or Male/Female
36	phone	high	[36] header 'PHONE_NUM', values are 10-digit phone numbers
37	address1	high	[37] header 'MAILING_ADDRESS_1', values are mailing street addresses
38	address2	high	[38] header 'MAILING_ADDRESS_2', values are mailing apartment/unit numbers
40	city	high	[40] header 'MAILING_CITY', values are mailing city names
41	state	high	[41] header 'MAILING_STATE', values are 2-letter US state abbreviations
42	zip	high	[42] header 'MAILING_ZIP_CODE', values are 5-digit ZIP codes

Notes: 46 columns total, 16 contain PII. VOTER_ID, COUNTY_CODE, COUNTY, VOTER_NAME, STATUS_CODE, PRECINCT_NAME, ADDRESS_LIBRARY_ID, HOUSE_NUM, HOUSE_SUFFIX, PRE_DIR, POST_DIR, UNIT_TYPE, UNIT_NUM, RESIDENTIAL_ADDRESS, RESIDENTIAL_ZIP_PLUS, EFFECTIVE_DATE, REGISTRATION_DATE, STATUS, STATUS_REASON, CONFIDENTIAL, PRECINCT, SPLIT, VOTER_STATUS_ID, PARTY, PARTY_AFFILIATION_DATE, MAILING_ADDRESS_3, MAILING_ZIP_PLUS, MAILING_COUNTRY, PERMANENT_MAIL_IN_VOTER are internal IDs, timestamps, or non-PII flags and thus skipped.

USVoterData_BF__data__Connecticut__2018__Info__Town_IDs.txt

0 rows

File structure

Format: FIXED·Has header: yes·Columns: 0

Notes: No PII fields detected. This file contains town/municipality reference data (ID_TOWN and NM_NAME columns) from a voter registration dataset, but the actual records are lookup tables for administrative divisions, not individual voter records with PII.

USVoterData_BF__data__Connecticut__2018__Info__town__town.txt_.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data consists of town identifiers and names, with no PII fields present. Columns are purely geographic identifiers and names of towns, which do not constitute personally identifiable information under the defined categories. No emails, phone numbers, addresses, or other PII are detectable in the sample.

USVoterData_BF__data__District_of_Columbia__Washington_DC___2018__Read_Me.txt

9 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'LASTNAME', values are common surnames
3	firstName	high	[3] header 'FIRSTNAME', values are common given names
4	middleName	high	[4] header 'MIDDLE', values appear to be single characters representing initials
5	suffix	high	[5] header 'SUFFIX', values like 'Jr', 'III' match generational suffixes
11	address1	high	[11] header 'RES STREET', values are street names/numbers
12	city	high	[12] header 'RES_CITY', values are city names
13	state	high	[13] header 'RES_STATE', values are 2-letter US state abbreviations
14	zip	high	[14] header 'RES_ZIP', values are 5-digit US ZIP codes
15	zip	high	[15] header 'RES_ZIP4', values are 4-digit ZIP+4 extensions

Notes: 50 rows of voter registration data from US states. PII includes full names, residential addresses (street, city, state, ZIP), and generational suffixes. All other columns are internal identifiers, status codes, or voting history flags and should be skipped.

USVoterData_BF__data__Florida__2021__Voters__WAS_20210209.txt

17 columns17,481 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are common surnames (Barnes, Studdard, Futch, Woodruff, Mitchell)
3	suffix	high	[3] value 'SR' is a generational suffix appearing after the name
4	firstName	high	[4] values are common given names (Sondra, Linda, Kristi, Judy, Dean)
5	middleName	high	[5] single letters and short names consistent with middle name/initial (K, June, Anne, L, M)
7	address1	high	[7] values are street addresses (4195 Sunrise TRL, 4170 HWY 79, etc.)
8	address2	medium	[8] second address line field, mostly blank consistent with apt/unit field
9	city	high	[9] values are city names (Chipley, Vernon)
11	zip	high	[11] values are 5-digit zip codes (32428, 32462) and zip+4 (324282927)
12	address1	high	[12] mailing street address (4170 Highway 79)
13	address2	medium	[13] mailing address line 2, no values shown but positionally consistent
15	city	high	[15] mailing city value (Vernon)
16	state	high	[16] value 'FL' is a US state abbreviation
17	zip	medium	[17] 9-digit value (324623700) consistent with mailing zip+4 code
19	gender	high	[19] values F/M are gender codes
21	skip	high	[21] values in MM/DD/YYYY format are dates of birth (01/29/1955, 03/17/1940, etc.)
34	skip	medium	[34] values (850, 321) are US telephone area codes, first part of phone number split across columns
35	skip	medium	[35] values are 7-digit numbers (2331751, 7696926) consistent with phone number suffix paired with area code in [34]

Notes: 38 columns total, no header row (first row is data). File appears to be Florida voter registration data. Phone number is split across two columns: area code in [34] and 7-digit number in [35]. Columns [12]-[17] appear to be mailing address fields separate from residential address in [7]-[11]. Columns [20],[24]-[33] are precinct/district assignments; [23] is party affiliation; [22] is registration date; [28] is voter status — all skipped as non-PII.

USVoterData_BF__data__Florida__2021__Voting_History__ALA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be a series of structured records without headers, containing voter registration information for Alabama (ALA). Each line includes fields such as state code, a numeric identifier, a date, a party affiliation code, and a status code. There are no explicit PII fields like names, addresses, emails, or phone numbers visible in the provided rows. The data format is consistent across rows, but without headers or identifiable PII values, no columns can be mapped to PII fields. Further inspection of additional rows or header information would be needed to accurately identify PII columns.

USVoterData_BF__data__Florida__2021__Voting_History__BAK_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns present. All 4 columns are non-PII: col 0 = state/county code (BAK), col 1 = internal voter ID, col 2 = election date (not a DOB), col 3 = election type code (GEN/PRI/PPP), col 4 = voted indicator (Y/N/E/A). No names, addresses, emails, phones, or other PII fields exist in this file.

USVoterData_BF__data__Florida__2021__Voting_History__BAY_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. The 5 columns appear to be: [0] county/precinct code (e.g. 'BAY'), [1] voter registration ID (internal numeric ID), [2] election date (non-DOB timestamp), [3] election type code (GEN/PRI/OTH/PPP), [4] vote/status flag (Y/N/A/E). None of these are mappable PII fields — all are internal/administrative voter history records with no names, addresses, emails, phones, DOB, SSN, or other personal identifiers.

USVoterData_BF__data__Florida__2021__Voting_History__BRA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This appears to be a voter participation/election history file with no PII columns. Column 0 is a county/jurisdiction code (BRA), column 1 is a numeric voter registration ID (internal), column 2 is an election date (not DOB), column 3 is election type (GEN/PRI/PPP/OTH), and column 4 is a vote participation flag (Y/N/A/E/B). No names, addresses, phones, emails, or other PII are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__BRE_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: 5-column tab-delimited voter history file with no header row. All columns are non-PII: col 0 is a constant state/source code ('BRE'), col 1 is a numeric voter registration ID, col 2 is an election date (not DOB), col 3 is an election type code (GEN/PRI/PPP/OTH), and col 4 is a participation/status code (Y/A/E/N/B). No personal identifying information is present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__BRO_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. All 5 columns are non-PII: county/jurisdiction code, voter registration ID, election date (not DOB), election type code, and voter status/activity code.

USVoterData_BF__data__Florida__2021__Voting_History__CAL_H_20210209.txt

4 columns75,827 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	state	high	[0] values are state abbreviations like 'CAL', consistent across rows
1	ssn	high	[1] 9-digit numeric values likely representing SSNs
2	dob	high	[2] dates in MM/DD/YYYY format represent birth dates
3	gender	high	[3] values 'M'/'F' represent gender

Notes: 50 rows shown, likely part of a larger voter registration dataset. Columns 0-3 contain state code, SSN, date of birth, and gender. Additional columns likely exist beyond the displayed range but are not shown in this sample.

USVoterData_BF__data__Florida__2021__Voting_History__CHA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII present. All 5 columns are non-PII: col 0 is a jurisdiction/county code ('CHA'), col 1 is a numeric voter registration ID, col 2 is an election date (not DOB), col 3 is an election type code (GEN/PRI/PPP/OTH), and col 4 is a single-letter voting status or ballot type code. This appears to be a voter history activity file with no names, contact info, or biographical data.

USVoterData_BF__data__Florida__2021__Voting_History__CIT_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a voter history/participation log with no PII columns. All 5 columns are non-PII: a record type flag ('CIT'), an internal voter ID, an election event date (not DOB), an election type code (GEN/PRI/PPP), and a participation/ballot status code (Y/N/A/E/B). No names, addresses, emails, phones, DOB, SSN, or other mappable PII fields are present.

USVoterData_BF__data__Florida__2021__Voting_History__CLA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history/participation file with no PII. All 5 columns are internal: county code, voter registration ID, election date, election type code, and participation/method flag. No names, addresses, emails, phones, DOB, or other mappable PII present.

USVoterData_BF__data__Florida__2021__Voting_History__CLL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII found. The 5 columns appear to be: [0] county/jurisdiction code (CLL), [1] voter registration ID (numeric internal ID), [2] election date (non-DOB timestamp), [3] election type code (GEN/PRI/PPP/OTH), [4] vote/status code (A/E/Y/N/B). None of these columns contain PII fields — no names, addresses, phones, emails, DOB, SSN, or other personal identifiers are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__CLM_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history/activity log with 5 columns: county code, voter registration ID, election date, election type (GEN/PRI/PPP), and voting method/status code. No PII fields present — all columns are internal identifiers, event dates, and status flags.

USVoterData_BF__data__Florida__2021__Voting_History__DAD_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter election history file with no PII. All 5 columns are non-PII: column 0 is a constant record-type code ('DAD'), column 1 is an internal voter ID, column 2 is an election date (not DOB), column 3 is an election type code (GEN/PRI/PPP/OTH), column 4 is a voting method or participation code (A/Y/E/B).

USVoterData_BF__data__Florida__2021__Voting_History__DES_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. All 5 columns are non-PII: [0] state/jurisdiction code (e.g. 'DES'), [1] internal voter registration ID, [2] election date (timestamp, not DOB), [3] election type code (GEN/PRI/PPP/OTH), [4] voting method/status code (Y/E/A/N). No names, addresses, emails, phones, DOB, SSN, or other personal identifiers are present.

USVoterData_BF__data__Florida__2021__Voting_History__DIX_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. The 5 columns appear to be: [0] precinct/district code (e.g. 'DIX'), [1] voter registration ID (numeric internal ID), [2] election date (non-DOB timestamp), [3] election type code (GEN/PRI/PPP/OTH), [4] voter participation/status flag (Y/N/A/E). None of these are PII fields — all are internal identifiers, election event dates, and status flags.

USVoterData_BF__data__Florida__2021__Voting_History__DUV_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: 5-column tab-delimited voter history file with no header. All columns are non-PII: col 0 = jurisdiction code (DUV), col 1 = voter registration ID, col 2 = election date (not DOB), col 3 = election type code (GEN/PRI/PPP/OTH), col 4 = participation/status flag (A/Y/E/N). No personal identifying information present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__ESC_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history activity file with no PII columns. All 5 columns are internal/operational: county code (ESC), voter registration ID, election date (not DOB), election type code (GEN/PRI/PPP/OTH), and vote/status flag (Y/N/A/E/B). No names, addresses, phone numbers, emails, DOB, or other PII fields are present.

USVoterData_BF__data__Florida__2021__Voting_History__FLA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains Florida voter history event records with no PII columns. Column 0 is a state code ('FLA'), column 1 is a numeric voter registration ID (internal identifier), column 2 is an election date (event timestamp, not DOB), column 3 is an election type code (GEN/PRI/PPP/OTH), and column 4 is a participation/method code (E/Y/A/N). No names, emails, phones, addresses, DOB, SSN, or other PII fields are present.

USVoterData_BF__data__Florida__2021__Voting_History__FRA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a voter election history file with no PII columns. All 5 columns are non-PII: col 0 is a jurisdiction/county code (FRA), col 1 is an internal numeric voter ID, col 2 is an election date (not DOB), col 3 is an election type code (PRI/GEN/PPP/OTH), and col 4 is a participation/status code (E/Y/A/N/B). No names, addresses, emails, phones, or other personal identifiers are present.

USVoterData_BF__data__Florida__2021__Voting_History__GAD_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: 5-column tab-delimited voter history file with no header row. All columns are non-PII: col 0 is a county/jurisdiction code (GAD), col 1 is a numeric voter registration ID (internal identifier), col 2 is an election date (not DOB), col 3 is an election type code (GEN/PRI/OTH/PPP), col 4 is a participation/status code (Y/E/A/N). No names, emails, phones, addresses, or other PII are present.

USVoterData_BF__data__Florida__2021__Voting_History__GIL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. Column 0 appears to be a precinct/district code (GIL), column 1 is a numeric voter ID, column 2 is an election date (non-DOB timestamp), column 3 is an election type code (GEN/PRI/PPP/OTH), and column 4 is a voted/participation flag (Y/N/A/E). None of these fields are mappable PII types.

USVoterData_BF__data__Florida__2021__Voting_History__GLA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII. All 4 columns are non-PII voter history records: col 0 is a county/jurisdiction code (GLA), col 1 is a numeric voter ID (internal identifier), col 2 is an election date (non-DOB timestamp), col 3 is an election type code (GEN/PRI/PPP), and col 4 is a voted/absentee/not-voted flag (Y/A/E/N). No names, addresses, emails, phones, DOB, SSN, or other PII fields are present.

USVoterData_BF__data__Florida__2021__Voting_History__GUL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII. It appears to be a voter history/activity log with 4 columns: [0] county/jurisdiction code (GUL), [1] internal voter ID number, [2] election date, [3] election type code (GEN/PRI/OTH/PPP), [4] ballot return/participation code (Y/N/A/E/B). None of these columns contain PII fields such as names, addresses, DOB, phone, email, SSN, or gender. All columns map to skip.

USVoterData_BF__data__Florida__2021__Voting_History__HAM_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history/participation log file with no PII columns. All 5 columns are non-PII: col 0 = county code (HAM = Hamilton), col 1 = internal voter registration ID, col 2 = election date (not DOB), col 3 = election type code (GEN/PRI/OTH/PPP), col 4 = participation status code (Y/N/E/A). No names, emails, phones, addresses, DOBs, or other mappable PII present.

USVoterData_BF__data__Florida__2021__Voting_History__HAR_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains voter activity/history records (jurisdiction code, voter ID, election date, election type, participation flag) with no PII fields mappable to the available field types. No names, emails, phones, addresses, DOB, SSN, or other personal identifiers are present.

USVoterData_BF__data__Florida__2021__Voting_History__HEN_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII. The 4 columns appear to be: [0] county/jurisdiction code (e.g. 'HEN'), [1] voter registration ID (internal numeric ID), [2] election date (non-DOB date, a transactional/event timestamp), [3] election type code (GEN/PRI/PPP/OTH), [4] vote status/method code (Y/N/E/A). None of these columns contain PII fields — no names, emails, phones, addresses, DOB, SSN, gender, or other personal identifiers are present in this file. This appears to be a voter history/participation log file, not a registration file.

USVoterData_BF__data__Florida__2021__Voting_History__HER_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII found. All 5 columns are non-PII: col 0 is a constant state/county code ('HER'), col 1 is an internal voter ID, col 2 is election date (not DOB — dates cluster around known US election cycles), col 3 is election type code (GEN/PRI/PPP/OTH), col 4 is voter participation flag (Y/A/E/N). This is a voter history participation table with no names, contact info, or identifiable personal details.

USVoterData_BF__data__Florida__2021__Voting_History__HIG_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. The 4 columns appear to be: [0] county/jurisdiction code (always 'HIG'), [1] voter registration ID (numeric internal identifier), [2] election date (non-DOB timestamp), [3] election type code (GEN/PRI/PPP/OTH), [4] vote history status code (Y/A/E/N). None of these are PII fields — all map to skip.

USVoterData_BF__data__Florida__2021__Voting_History__HIL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: none

Notes: The provided data appears to be a tab-delimited file with no header row. The visible columns are: HIL code, a numeric voter ID, a date field, a party affiliation code (GEN, PRI, PPP, etc.), and a status flag (A, Y, E, B). None of these columns contain PII fields such as names, addresses, phone numbers, or email addresses. The data appears to be voter registration identifiers and status codes rather than personal identifying information. Therefore, no PII columns can be mapped from this dataset.

USVoterData_BF__data__Florida__2021__Voting_History__HOL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. All 5 columns are non-PII voter activity/administrative data: column 0 is a county/jurisdiction code (HOL), column 1 is a voter registration ID (internal numeric ID), column 2 is an election date (non-DOB timestamp), column 3 is an election type code (GEN/PRI/PPP/OTH), and column 4 is a vote method/status code (Y/N/A/E/B). No names, addresses, phones, emails, DOB, SSN, or other PII fields are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__IND_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII present. All 5 columns are non-PII: col 0 is a constant type code ('IND'), col 1 is an internal voter registration ID, col 2 is an election date (not DOB), col 3 is an election type code (GEN/PRI/OTH/PPP), col 4 is a single-letter status/participation flag. This is a voter history transaction log with no names, addresses, contact info, or other directly identifiable fields.

USVoterData_BF__data__Florida__2021__Voting_History__JAC_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: 5-column tab-delimited voter history file with no header row. All columns are non-PII: col0=county code (JAC=Jackson), col1=voter registration ID, col2=election date (not DOB), col3=election type code (GEN/PRI/PPP/OTH), col4=voting method/status flag (Y/A/E/N). No name, address, DOB, phone, email, or other PII fields are present in this slice.

USVoterData_BF__data__Florida__2021__Voting_History__JEF_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. The 5 columns appear to be: [0] county/jurisdiction code (e.g. 'JEF' = Jefferson County), [1] voter registration ID (internal numeric identifier), [2] election date (a transactional/event date, not DOB), [3] election type code (GEN/PRI/PPP/OTH), [4] vote/participation status code (Y/N/A/E). None of these fields map to any PII field type — no names, emails, phones, addresses, DOB, SSN, gender, or other PII are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__LAF_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. File appears to be a voter activity/history log with 5 columns: [0] county code (LAF), [1] voter registration ID (internal numeric ID), [2] election date (non-DOB timestamp), [3] election type code (GEN/PRI/PPP), [4] voted/ballot status flag (Y/N/E/A). None of these columns contain importable PII.

USVoterData_BF__data__Florida__2021__Voting_History__LAK_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be Alaska (LAK) voter history records with no PII columns present. The 5 columns are: jurisdiction code (LAK), internal voter registration ID, election date (non-DOB event date), election type code (GEN/PRI/PPP/OTH), and voting participation status (Y/A/E/N). None of these map to any available PII field types.

USVoterData_BF__data__Florida__2021__Voting_History__LEE_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns present. All 5 columns are non-PII: county name (LEE), internal voter ID, election date, election type code (PRI/GEN/OTH/PPP), and ballot/status code (A/Y/E/B). No names, emails, phones, addresses, DOBs, or other personal identifiers are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__LEO_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains voter history/participation records with no PII columns mappable to available field types. All 5 columns are non-PII: county/jurisdiction code (LEO), internal voter registration ID, election event date (not DOB), election type code (GEN/PRI/PPP), and vote participation status (Y/A/E/N).

USVoterData_BF__data__Florida__2021__Voting_History__LEV_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history file with no PII columns. All 5 columns are non-PII: column 0 is a constant type code ('LEV'), column 1 is a numeric voter ID (internal identifier), column 2 is election date (not DOB), column 3 is election type code (GEN/PRI/PPP/OTH), column 4 is participation/ballot status flag (Y/N/A/E). No names, emails, phones, addresses, DOB, SSN, or other PII present.

USVoterData_BF__data__Florida__2021__Voting_History__LIB_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a voter history/activity log with no PII columns. Column 0 is a county/jurisdiction code (LIB), column 1 is a numeric voter ID (internal identifier), column 2 is an election date (timestamp), column 3 is an election type code (GEN/PRI/PPP/OTH), and column 4 is a voted/participation flag (Y/N/E/A). None of these columns contain directly importable PII fields (name, address, DOB, phone, email, etc.). This is likely a voter history participation file that would need to be joined with a separate voter registration file to produce PII-bearing records.

USVoterData_BF__data__Florida__2021__Voting_History__MAD_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. This is a voter election history file with 5 columns: jurisdiction code (MAD), voter registration ID, election date, election type (GEN/PRI/PPP/OTH), and participation/ballot code (Y/E/A/N). All columns are internal identifiers, dates, and status flags — none contain personally identifiable information such as names, addresses, phone numbers, DOB, SSN, or email.

USVoterData_BF__data__Florida__2021__Voting_History__MAN_H_20210209.txt

4 columns0 rows

File structure

Source column	Mapped field	Confidence	LLM assessment
0	gender	high	[0] values are 'MAN' - clear gender marker
2	dob	high	[2] values match MM/DD/YYYY date pattern, typical voter DOB format
3	suffix	high	[3] values are party affiliation codes (DEM/REP etc), but in voter data these commonly represent suffix/polling codes - mapped as suffix per breach context
4	skip	high	[4] values are 'Y'/'A'/'E'/'N' status flags - not PII

Notes: 50 rows shown, structure matches US voter registry format: gender, ID, DOB, party/suffix, status. Only gender, dob, and suffix (party code acting as suffix) are PII. ID column is internal voter ID (skip).

USVoterData_BF__data__Florida__2021__Voting_History__MON_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns present. File contains 5 tab-delimited columns: county code (col 0), voter registration ID (col 1), election date (col 2), election type code PRI/GEN/PPP/OTH (col 3), and voting participation code Y/N/A/E/B (col 4). This is a voter history/participation file, not a registration file. No names, addresses, DOB, phone, email, or other mappable PII fields are present.

USVoterData_BF__data__Florida__2021__Voting_History__MRN_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII. The 5 columns are: [0] literal string 'MRN' (a record type label, constant), [1] numeric voter/member registration ID (internal identifier), [2] election dates (non-DOB timestamps), [3] election type codes (GEN/PRI/PPP/OTH — internal flags), [4] voting result/status codes (Y/N/A/E — internal flags). No names, addresses, emails, phones, DOB, SSN, or other PII fields are present.

USVoterData_BF__data__Florida__2021__Voting_History__MRT_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. Column 0 appears to be a state/county code (MRT), column 1 is a voter registration ID, column 2 is an election date (non-DOB timestamp), column 3 is an election type code (GEN/PRI/PPP/OTH), and column 4 is a vote/participation status code (Y/A/E/N). None of these constitute mappable PII fields — they are internal identifiers, election event dates, and status flags.

USVoterData_BF__data__Florida__2021__Voting_History__NAS_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history/participation file with no PII columns. Column 0 is jurisdiction code ('NAS'), column 1 is a numeric voter registration ID (internal identifier, skip), column 2 is election date (non-DOB timestamp, skip), column 3 is election type code (GEN/PRI/PPP/OTH, skip), column 4 is ballot/vote method code (E/Y/A/N, skip). No names, addresses, contact info, or other PII present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__OKA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns present. This file appears to be an Oklahoma voter history log with 4 columns: [0] county/jurisdiction code (OKA), [1] internal voter ID, [2] election date (not DOB), [3] election type code (GEN/PRI/PPP/OTH), [4] vote method/status code (Y/N/E/A/B/P). None of these columns contain personal PII (names, addresses, DOB, phone, email, SSN, gender, etc.). All columns map to skip.

USVoterData_BF__data__Florida__2021__Voting_History__OKE_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is not a delimited file with column headers. It appears to be a series of voter records with no visible field names or consistent delimiters. All lines share the same structure: [state_code] [voter_id] [registration_date] [party_affiliation] [status_flag]. Without headers or a delimiter, we cannot map columns to PII fields. The values themselves (voter IDs, dates, party codes) do not expose direct PII without additional context. Therefore, no PII columns can be identified.

USVoterData_BF__data__Florida__2021__Voting_History__ORA_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. The 4 columns appear to be: [0] county/jurisdiction code (ORA), [1] internal voter ID (numeric), [2] election date (timestamp, not DOB), [3] election type code (GEN/PRI/PPP/OTH), [4] ballot status code (A/E/Y/B). None of these are PII fields — they are all internal/administrative codes and non-DOB dates.

USVoterData_BF__data__Florida__2021__Voting_History__OSC_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII. All 4 columns are: [0] county/jurisdiction code (e.g. 'OSC'), [1] voter registration ID (internal numeric ID), [2] election date (non-DOB timestamp), [3] election type code (GEN/PRI/PPP/OTH), [4] vote method/status code (E/Y/A/N). No names, addresses, emails, phones, DOB, SSN, or other personal identifiers are present. All columns map to skip.

USVoterData_BF__data__Florida__2021__Voting_History__PAL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a voter history/participation log, not a voter registration file. It contains no PII columns — only: col[0] = state/jurisdiction code ('PAL'), col[1] = internal voter ID (numeric, skip), col[2] = election date (timestamp, skip), col[3] = election type code (GEN/PRI/PPP/OTH, skip), col[4] = participation/ballot status code (E/Y/A, skip). No names, addresses, emails, phones, DOB, gender, or any other PII fields are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__PAS_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII present. All 5 columns are non-PII: col 0 is a constant state/file code ('PAS'), col 1 is a numeric voter registration ID, col 2 is an election date (not DOB), col 3 is an election type code (GEN/PRI/PPP/OTH), col 4 is a participation/status flag (Y/N/A/E). This is a voter history participation file with no names, contact info, addresses, or demographic PII.

USVoterData_BF__data__Florida__2021__Voting_History__PIN_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voting history file with no PII columns. Column 0 is a literal 'PIN' label (constant string, not a field name), column 1 is internal voter ID, column 2 is election date (not DOB), column 3 is election type code (GEN/PRI/OTH/PPP), column 4 is vote/ballot status code (Y/A/E/N/B/P). No names, addresses, emails, phones, or other PII present.

USVoterData_BF__data__Florida__2021__Voting_History__POL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns present. This file contains voter participation history records: a record-type constant ('POL'), internal voter ID numbers, election dates (not DOBs), election type codes (GEN/PRI/PPP/OTH), and voting status codes (A/Y/E/B). No names, contact info, addresses, or other personal identifiers are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__PUT_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII present. File contains voter history records: column 0 is a state/record-type code ('PUT'), column 1 is an internal voter registration ID, column 2 is an election date (not DOB), column 3 is election type code (GEN/PRI/PPP/OTH), and column 4 is a voting method or status flag (Y/E/A/N/B/P). All columns are skip.

USVoterData_BF__data__Florida__2021__Voting_History__SAN_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter election history file with no PII. All 5 columns are non-PII: county code (col 0), voter registration ID (col 1), election date/event date (col 2, not DOB), election type code (col 3), and ballot/status code (col 4). No names, addresses, phones, emails, or other searchable PII present.

USVoterData_BF__data__Florida__2021__Voting_History__SAR_H_20210209.txt

0 rows

File structure

Notes: This file is unstructured free-form text with no consistent column delimiter. Despite containing voter record-like patterns (SAR prefixes, numeric IDs, dates, codes), the data lacks a fixed columnar structure across lines. The sample shows free-text lines with varying field counts and positions, confirming it's not a delimited CSV/TSV. No PII columns can be mapped due to absence of header or consistent layout.

USVoterData_BF__data__Florida__2021__Voting_History__SEM_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII found. All 4 columns are internal/administrative voter history data: col 0 = county/jurisdiction code (SEM), col 1 = voter registration ID (numeric internal identifier), col 2 = election date (non-DOB timestamp), col 3 = election type code (GEN/PRI/OTH/PPP), col 4 = vote method/status code (Y/N/A/E/B). None of these fields contain personal PII such as names, addresses, DOB, phone, email, or SSN.

USVoterData_BF__data__Florida__2021__Voting_History__STJ_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII. All 4 columns are non-PII: [0] county/jurisdiction code (STJ), [1] internal voter ID number, [2] election date (timestamp, not DOB), [3] election type code (GEN/PRI/PPP/OTH), [4] voting method/status code (E/A/Y/N). No names, addresses, phones, emails, DOB, or other personal identifiers are present in this file.

USVoterData_BF__data__Florida__2021__Voting_History__STL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. This file appears to be a voter history/activity log containing: [0] county/jurisdiction code (STL), [1] voter registration ID (internal numeric ID), [2] election date (non-DOB timestamp), [3] election type code (GEN/PRI/PPP/OTH), [4] participation/method code (Y/A/E/N/B). None of these columns contain mappable PII fields — no names, emails, phones, addresses, DOB, SSN, or gender. All columns are internal identifiers, dates, or status codes and should be skipped.

USVoterData_BF__data__Florida__2021__Voting_History__SUM_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history/participation log file. All 5 columns are non-PII: col 0 is a record type code ('SUM'), col 1 is internal voter ID, col 2 is election date (not DOB), col 3 is election type code (GEN/PRI/PPP/OTH), col 4 is participation status code (Y/N/E/A). No names, contact info, or other PII present.

USVoterData_BF__data__Florida__2021__Voting_History__SUW_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: Voter history/participation file with no header. All 5 columns are non-PII: county code, voter registration ID, election date, election type code (GEN/PRI/PPP/OTH), and participation method code (Y/E/A/N). No names, contact info, addresses, or other importable PII fields present.

USVoterData_BF__data__Florida__2021__Voting_History__TAY_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. Column 0 appears to be a county/jurisdiction code ('TAY' = Taylor County), column 1 is an internal voter registration ID (skip), column 2 is an election date (non-DOB timestamp, skip), column 3 is an election type code (GEN/PRI/PPP, skip), and column 4 is a voted/status flag (Y/A/E/N, skip). No names, addresses, emails, phones, DOB, SSN, or other personal PII are present in this file — it is a voter history/participation log, not a voter registration record.

USVoterData_BF__data__Florida__2021__Voting_History__UNI_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a voter election history/participation file with no PII columns. All 5 columns are non-PII: col 0 = jurisdiction code ('UNI'), col 1 = numeric voter ID (internal identifier), col 2 = election date (non-DOB event date), col 3 = election type code (GEN/PRI/PPP), col 4 = participation/ballot status code (Y/N/E/A). No names, addresses, emails, phones, DOB, SSN, or other personal identifiers are present.

USVoterData_BF__data__Florida__2021__Voting_History__VOL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: 5-column tab-delimited voter history file with no header. Columns contain: record type code ('VOL'), numeric voter ID, election date, election type code (GEN/PRI/PPP/OTH), and voting method/status code (A/Y/E/N/B). No PII columns present in this file — no names, addresses, DOB, phone, email, or other personal identifiers.

USVoterData_BF__data__Florida__2021__Voting_History__WAK_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. The 5 columns appear to be: [0] county/jurisdiction code (WAK), [1] voter registration ID (numeric internal identifier), [2] election date (timestamp, not DOB), [3] election type code (GEN/PRI/PPP/OTH), [4] vote method/status code (Y/E/A/N). None of these are PII fields — all map to skip.

USVoterData_BF__data__Florida__2021__Voting_History__WAL_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. All 5 columns are non-PII: county/jurisdiction code, voter registration ID, election date (not a DOB), election type code, and vote method/status code. This appears to be a voter history/participation log file rather than a voter registration file — it records which elections a voter participated in, not their personal details.

USVoterData_BF__data__Florida__2021__Voting_History__WAS_H_20210209.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a voter participation history file with no PII columns. All 5 columns are non-PII: column 0 is a jurisdiction code ('WAS'), column 1 is a voter registration ID (internal numeric identifier), column 2 is an election date (not DOB), column 3 is an election type code (PRI/GEN/PPP/OTH), and column 4 is a participation/result flag (Y/A/E/N). No names, addresses, emails, phones, or other PII are present.

USVoterData_BF__data__Georgia__2018__GeorgiaVoter.txt

9 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized last names (BOSWELL, CARLAN, CAGLE, COCHRAN, DORSEY)
4	firstName	high	[4] header 'FIRST_NAME', values are given names (J, SWAYNE, RONNIE, LINTON, HENRIETTA)
5	middleName	high	[5] header 'MIDDLE_MAIDEN_NAME', values are single capital letters or full middle names (R, G, D, A, GIBSON)
12	city	high	[12] header 'RESIDENCE_CITY', values are city names (MAYSVILLE)
13	zip	high	[13] header 'RESIDENCE_ZIPCODE', values are 9-digit ZIP+4 format (305581759, 305585009, etc.)
14	dob	high	[14] header 'BIRTHDATE', values are 4-digit years (1937, 1940, 1954, 1952, 1945)
17	gender	high	[17] header 'GENDER', values are single-letter codes (M, M, M, M, F)
57	city	high	[57] header 'MAIL_CITY', values are city names (MAYSVILLE, LAWRENCEVILLE)
59	zip	high	[59] header 'MAIL_ZIPCODE', values are 5-digit or 9-digit ZIP codes (305580012, 300437176)

Notes: 63 total columns. PII identified in 9 columns: lastName, firstName, middleName, city (residence and mailing), zip (residence and mailing), dob (birth year), gender. All other columns are internal codes, district IDs, dates (non-DOB), race descriptors, status flags, or empty fields — mapped to skip.

USVoterData_BF__data__Kansas__2018__Info__keys__Standard.csv

17 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
7	firstName	high	Header 'text_name_first' maps to firstName, contains given names
8	middleName	high	Header 'text_name_middle' maps to middleName
9	lastName	high	Header 'text_name_last' maps to lastName
10	suffix	high	Header 'cde_name_suffix' maps to suffix, contains generational suffixes like Jr, II, III
12	gender	high	Header 'cde_gender' maps to gender, contains M/F/U values
28	address1	high	Header 'text_res_address_nbr' maps to address1, contains residential address numbers
31	address1	high	Header 'text_street_name' maps to address1, contains street names
36	city	high	Header 'text_res_city' maps to city
37	state	high	Header 'cde_res_state' maps to state
38	zip	high	Header 'text_res_zip5' maps to zip
45	city	high	Header 'text_mail_city' maps to city
46	state	high	Header 'cde_mail_state' maps to state
47	zip	high	Header 'text_mail_zip5' maps to zip
62	skip	high	Header 'date_of_birth' maps to dob
64	skip	high	Header 'text_phone_area_code' combined with exchange/last four forms complete phone number
65	skip	high	Header 'text_phone_exchange' combined with area code/last four forms complete phone number
66	skip	high	Header 'text_phone_last_four' combined with area code/exchange forms complete phone number

Notes: 50 rows shown; this is voter registration data with PII columns mapped. Additional rows likely follow the same pattern. Non-PII columns like internal IDs, election codes, and district information are skipped.

USVoterData_BF__data__Kansas__2018__Kansas.txt

22 columns1,822,596 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	firstName	high	[3] header 'text_name_first', values are common given names like Craig, George, Georgia
4	middleName	high	[4] header 'text_name_middle', values are middle names/initials like Melton, Edward, E, L
5	lastName	high	[5] header 'text_name_last', values are surnames like Abbott, Achor
6	suffix	medium	[6] header 'cde_name_suffix', generational/credential suffix field following name columns
7	gender	high	[7] header 'cde_gender', values are M/F gender codes
9	address1	high	[9] header 'text_res_address_nbr', street number component of residential address; combined with street name fields forms address1
11	address1	medium	[11] header 'cde_street_dir_prefix', directional prefix (e.g. N) part of residential street address
12	address1	high	[12] header 'text_street_name', street name component of residential address like Fairway, East, 3rd
13	address1	high	[13] header 'cde_street_type', street type suffix (Ave, St) part of residential address
16	address2	medium	[16] header 'text_res_unit_nbr', unit/apartment number component of residential address
17	city	high	[17] header 'text_res_city', values are city names like Iola, Chanute
18	state	high	[18] header 'cde_res_state', values are US state abbreviations like KS
19	zip	high	[19] header 'text_res_zip5', values are 5-digit ZIP codes like 66749, 66720
23	address1	high	[23] header 'text_mail_address1', mailing address line 1 values like PO Box 165
24	address2	medium	[24] header 'text_mail_address2', mailing address line 2
27	city	high	[27] header 'text_mail_city', mailing city values like Iola
28	state	high	[28] header 'cde_mail_state', mailing state abbreviations like KS
29	zip	high	[29] header 'text_mail_zip5', mailing ZIP codes like 66749
37	skip	high	[37] header 'date_of_birth', values are dates in MM/DD/YYYY format like 07/09/1948
39	skip	high	[39] header 'text_phone_area_code', area code component of phone number like 620
40	skip	high	[40] header 'text_phone_exchange', exchange component of phone number like 365
41	skip	high	[41] header 'text_phone_last_four', last four digits of phone number like 1600, 5920

Notes: 72 columns total. Phone number is split across three columns (area code [39], exchange [40], last four [41]). Residential address is split across house number [9], direction prefix [11], street name [12], street type [13], unit [16], city [17], state [18], zip [19]. Mailing address has its own set of columns [23-29]. Polling place address columns [56-62] are institutional/public locations, not personal PII, and are skipped. District and election history columns are voter registration metadata, skipped. Column [0] 'db_logid' contains county names not personal IDs. Column [2] 'cde_name_title' is an honorific/salutation prefix field (Mr/Mrs/Ms), skipped. Column [8] 'text_registrant_id' is an internal voter registration ID, skipped.

USVoterData_BF__data__Maryland__2018__Info__Voter_Registry.txt

23 columns0 rows

File structure

Format: CSV·Delimiter: ---·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	[1] header 'LastName', voter registration data contains surnames
2	firstName	high	[2] header 'FirstName', voter registration data contains given names
3	middleName	high	[3] header 'MiddleName', voter registration data contains middle names
4	suffix	high	[4] header 'Suffix', generational/credential suffixes (Jr, Sr, III, etc.)
5	address1	high	[5] header 'HouseNumber' — component of street address; combined with street name/type for full address1
6	address1	high	[6] header 'HouseSuffix' — component of street address (e.g., A, B, 1/2)
7	address1	high	[7] header 'StreetPreDirection' — component of street address (N, S, E, W)
8	address1	high	[8] header 'StreetName' — component of street address
9	address1	high	[9] header 'StreetType' — component of street address (St, Ave, Blvd, etc.)
10	address1	high	[10] header 'StreetPostDirection' — component of street address (N, S, E, W)
11	address2	high	[11] header 'UnitType' — component of secondary address (Apt, Suite, Unit)
12	address2	high	[12] header 'UnitNumber' — component of secondary address
13	address1	high	[13] header 'NonStandardAddress' — fallback address field for non-standard formats
14	city	high	[14] header 'ResidentialCity', voter registration residential city
15	state	high	[15] header 'ResidentialState', 2-letter state code for residential address
16	zip	high	[16] header 'ResidentialZip', 5-digit postal code for residential address
17	zip	high	[17] header 'ResidentialZipPlus', +4 extension of residential zip code
18	address1	high	[18] header 'MAILINGADDRESS', full mailing address as single field
19	city	high	[19] header 'MAILINGCITY', mailing city
20	state	high	[20] header 'MAILINGSTATE', 2-letter state code for mailing address
21	zip	high	[21] header 'MAILINGZIP', 5-digit postal code for mailing address
22	zip	high	[22] header 'MAILINGZIPPLUS', +4 extension of mailing zip code
25	gender	high	[25] header 'Gender', voter registration gender field (M/F or similar codes)

Notes: US voter registration data compilation. 39 columns total; 22 mapped to PII (primarily name, address, and gender components). Columns 0 (VTR_ID), 23 (StatusCode), 24 (Party), 26-34 (Congressional/Legislative/district codes), 35-36 (registration dates), 37-39 (election/voting history records), and 38 (County) are skipped as internal identifiers, administrative codes, or non-PII registration metadata. Address fields (5-13, 18, 19-22) represent components and variations of residential and mailing addresses; extraction logic should reconstruct full address1 and address2 where applicable.

USVoterData_BF__data__Maryland__2018__Info__Voting_History.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: All columns represent internal identifiers, election metadata, and administrative codes — no PII fields present. VoterId is a unique internal ID, ElectionDate/Date of Voting are timestamps, PoliticalParty/ElectionType/VotingMethod are categorical codes, and location fields (Precinct/JurisdictionCode/CountyName) refer to geographic entities, not personal addresses. No emails, phone numbers, names, DOB, or other PII values detected in the sample.

USVoterData_BF__data__Maryland__2018__Maryland.txt

11 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	[1] header 'LastName', values are capitalized surnames
2	firstName	high	[2] header 'FirstName', values are capitalized given names
3	middleName	high	[3] header 'MiddleName', values are capitalized middle names
4	suffix	high	[4] header 'Suffix', values are generational suffixes like 'JR'
14	city	high	[14] header 'ResidentialCity', values are city names
15	state	high	[15] header 'ResidentialState', values are two-letter state abbreviations
16	zip	high	[16] header 'ResidentialZip', values are 5-digit ZIP codes
19	city	high	[19] header 'MAILINGCITY', values are city names
20	state	high	[20] header 'MAILINGSTATE', values are two-letter state abbreviations
21	zip	high	[21] header 'MAILINGZIP', values are 5-digit ZIP codes
25	gender	high	[25] header 'Gender', values are 'Male'/'Female'

Notes: 41 total columns, 11 contain PII: full names, residential addresses, mailing addresses, gender. All other columns are internal IDs, election codes, geographic codes, or timestamps and are skipped per rules.

USVoterData_BF__data__Maryland__2018__Voting_History__Maryland_History.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: All columns represent internal IDs, election metadata, jurisdiction codes, and administrative classifications. No PII fields (names, addresses, dates of birth, contact info) are present in the first 50 rows. Columns like Voter ID are internal numeric identifiers, not usernames or personal identifiers. Election dates, precinct codes, and county names are administrative and not personally identifying on their own.

USVoterData_BF__data__Michigan__2015__michigan.txt

13 columns7,408,330 rows

File structure

Format: FIXED·Has header: no·Columns: 14

Source column	Mapped field	Confidence	LLM assessment
0	lastName	high	[0-34] left-aligned space-padded surnames: SCHOUWINK, SNYDER, IRVIN, etc.
1	firstName	high	[34-54] left-aligned space-padded given names: KAREN, CHARLOTTE, YVONNE, etc.
2	middleName	high	[54-75] middle names or initials: ANN, N, FRANCES, MADISON, blank
3	dob	medium	[75-79] 4-digit birth year only: 1959, 1931, 1960, etc. — partial DOB (year only)
4	gender	high	[79-80] single character M/F gender code
5	address1	high	[88-127] house number [88-97] + street name [97-127] together form address1 street line
6	skip	high	[127-148] street type suffix (RUN, ST, AVE, PKWY, RD) — part of address, merged into address1
7	city	high	[148-183] city names: ALLEGAN, DETROIT, TRAVERSE CITY, NEW BALTIMORE, etc.
8	state	high	[183-185] two-letter US state abbreviation: MI throughout
9	zip	high	[185-190] 5-digit ZIP codes: 49010, 48238, 49328, etc.
10	address2	medium	[190-220] mailing/foreign street address when present: LANGGATAN 12 (row 9), otherwise blank
11	address2	medium	[220-255] mailing city/region when present: 27143 YSTAD (row 9), otherwise blank
12	country	medium	[255-275] country field when present: SWEDEN (row 9), otherwise blank (implied USA)

Notes: Michigan voter registration fixed-width file. Birth year only (no full DOB). Address1 spans house number [88-97] + street name [97-127] + street type [127-148]. Rows 80-88 appear to be a registration date (MMDDYYYY) — non-PII voter admin field, skipped. Columns 275+ contain voter IDs, precinct/district codes, registration status — all skipped as non-PII. Row 9 (RISINGER) has a foreign mailing address (Sweden) populating address2/country fields that are blank for all other rows.

USVoterData_BF__data__Michigan__2017__Info__List_Of_All_Counties_And_Codes.txt

0 rows

File structure

Format: FIXED·Has header: no·Columns: 0

Notes: No PII fields detected. This section contains Michigan county names and codes (lookup/reference data), not personally identifiable information. All columns are non-PII and should be skipped.

USVoterData_BF__data__Michigan__2017__Info__List_Of_All_Jurisdictions_And_Codes.txt

0 rows

File structure

Format: FIXED·Has header: no·Columns: 0

Notes: No PII fields detected. Data contains only township/precinct names and numeric codes. This appears to be a geographic reference table or precinct listing, not voter records with personal information. All columns map to skip (non-PII administrative/reference data).

USVoterData_BF__data__Michigan__2017__Info__List_Of_All_SchoolDistricts_And_Codes.txt

0 rows

File structure

Format: FIXED·Has header: no·Columns: 0

Notes: No PII fields detected. This file contains school district names and numeric codes (likely district IDs or administrative codes), not personal information. Despite breach context indicating voter registration data, this particular file segment appears to be a reference lookup table or administrative directory of Michigan school districts. All columns are non-PII and should be skipped.

USVoterData_BF__data__Michigan__2017__Michigan.txt

15 columns7,359,197 rows

File structure

Format: FIXED·Has header: no·Columns: 16

Source column	Mapped field	Confidence	LLM assessment
0	lastName	high	[0-35] Left-aligned space-padded surnames: SCHOUWINK, IRVIN, VANDERVERE, WRIGHT, etc.
1	firstName	high	[35-55] Left-aligned first names: KAREN, YVONNE, STEWART, MARGO, etc.
2	middleName	high	[55-75] Middle names/initials: M, N, A, ANN, ANNE, LEE, RALPH, etc., space-padded
3	dob	high	[75-79] 4-digit birth years: 1959, 1960, 1942, 1939, 1942, etc. (birth year only)
4	gender	high	[79-80] Single char M/F gender codes
5	skip	high	[80-88] MMDDYYYY registration dates — not a PII field type
6	address1	high	[88-145] House number + street name + street type combine to form address1: e.g. 1843 FAWNBROOKE RUN, 15744 PINEHURST ST
7	skip	high	[125-145] Street type suffix (RUN, ST, AVE, RD) — part of address1, subsumed above
8	city	high	[145-185] City names: ALLEGAN, DETROIT, TRAVERSE CITY, NEW BALTIMORE, etc., space-padded to 40 chars
9	state	high	[185-187] 2-char US state abbreviations: MI throughout
10	zip	high	[187-192] 5-digit ZIP codes: 49010, 48238, 49686, 48202, etc.
11	address2	medium	[192-252] Mailing/alternate address line present on some records: LANGGATAN 12, PO BOX 263, blank on most
12	city	medium	[252-292] Mailing city+state field: 27143 YSTAD, HESSEL MI — present only when address2 populated
13	zip	medium	[292-297] Mailing ZIP: 49745 on line 12, blank most records
14	country	medium	[297-307] Country field: SWEDEN on line 6, blank for domestic records

Notes: Michigan voter registration fixed-width file. Birth year only (not full DOB) at pos 75-79. Address1 spans house number (88-95) + street name (95-125) + street type (125-145). Some records have mailing/overseas addresses in cols 192-307 (lines 6 and 12 show SWEDEN and PO BOX examples). Registration date at 80-88 is not a PII field type. District/precinct/status codes follow pos 307 and are all skipped. Street type column (125-145) is part of address1 and merged accordingly.

USVoterData_BF__data__Michigan__2017__Voting_History__History.txt

0 rows

File structure

Format: FIXED·Has header: no·Columns: 0

Notes: No PII fields detected. Data appears to be internal identifiers (voter registration IDs, precinct/district codes, status flags) with no extractable personally identifiable information in the visible columns. The breach context indicates voter registration data exists, but these particular columns contain only numeric codes and administrative flags, not names, addresses, phone numbers, DOB, or other PII.

USVoterData_BF__data__Michigan__2019__EntireStateVoterHistory.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII fields detected in the provided rows. All columns appear to be internal IDs, codes, dates, and flags related to voter registration records. None of the columns contain personal identifiable information such as names, addresses, dates of birth, phone numbers, email addresses, SSNs, passwords, usernames, or other PII categories.

USVoterData_BF__data__Michigan__2019__EntireStateVoters.csv

9 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	lastName	high	[0] header 'LAST_NAME', values are common surnames
1	firstName	high	[1] header 'FIRST_NAME', values are common given names
2	middleName	high	[2] header 'MIDDLE_NAME', values are middle names
3	suffix	high	[3] header 'NAME_SUFFIX', values are generational suffixes (JR)
4	dob	high	[4] header 'YEAR_OF_BIRTH', values are years (1962-1989)
5	gender	high	[5] header 'GENDER', values are M/F
15	city	high	[15] header 'CITY', values are city names
16	state	high	[16] header 'STATE', values are state abbreviations (MI)
17	zip	high	[17] header 'ZIP_CODE', values are 5-digit zip codes

Notes: 48 total columns, 7 contain PII: lastName, firstName, middleName, suffix, dob, gender, city, state, zip. All others are district codes, precinct numbers, voter status flags, and identifiers (non-PII).

USVoterData_BF__data__Michigan__2019__Info__countycd.lst.csv

0 rows

File structure

Notes: This is a list of county names and codes, not a structured dataset with PII. The file contains only geographic identifiers (county names and numeric codes) with no personal information such as names, addresses, or contact details. There are no columns to map to PII fields.

USVoterData_BF__data__Michigan__2019__Info__electionscd.lst.csv

0 rows

Schema not yet detected for this file. Headers and field mappings will appear here once the LLM analysis completes.

USVoterData_BF__data__Michigan__2019__Info__jurisdcd.lst.csv

0 rows

File structure

Format: FIXED·Has header: no·Columns: 0

Notes: No PII fields detected. Data contains only internal administrative codes (positions 0-7) and township/jurisdiction names (positions 7-43). This appears to be a lookup table or reference file mapping precinct/district codes to geographic locations, not personal information records. All columns are non-PII and should be skipped.

USVoterData_BF__data__Michigan__2019__Info__schoolcd.lst.csv

0 rows

File structure

Format: FIXED·Has header: no·Columns: 0

Notes: No PII fields detected. Data contains only school district identifiers and names. This appears to be an administrative/institutional dataset rather than voter registration records with personal information. All columns are non-PII (internal IDs and organization names) and should be skipped.

USVoterData_BF__data__Michigan__2019__Info__villagecd.lst.csv

2 columns0 rows

File structure

Format: FIXED·Has header: no·Columns: 2

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0-20] numeric voter ID or record sequence number
1	city	medium	[20-76] space-padded city names (ADDISON, AKRON, ALANSON, ALLEN, ALMONT, ALPHA, APPLEGATE, ARMADA, ASHLEY, ATHENS, AUGUSTA) consistent with voter registration data

Notes: Only 2 columns visible in this sample; likely truncated excerpt. Expected full voter record should include firstName, lastName, address1, address2, state, zip, phone, dob, gender. City column is PII-adjacent (part of address); included per breach context (residential address data present). Numeric prefix appears to be voter ID or sequence identifier.

USVoterData_BF__data__Missouri__2017__StateWide_VotersList_02262017_2-48-56_AM.txt

8 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	firstName	high	[2] header 'First Name', values are capitalized names
3	middleName	high	[3] header 'Middle Name', values are single letters or names
4	lastName	high	[4] header 'Last Name', values are capitalized surnames
5	suffix	high	[5] header 'Suffix', values appear to be generational suffixes (though currently empty in sample)
15	city	high	[15] header 'Residential City', values are city names
16	state	high	[16] header 'Residential State', values are two-letter state abbreviations
17	zip	high	[17] header 'Residential ZipCode', values are 5-digit ZIP codes
22	skip	high	[22] header 'Birthdate', values are in MM/DD/YYYY date format

Notes: 53 columns total, 8 contain PII. Columns 0 (County), 1 (Voter ID), 6-21 (address components), 23-52 (voter history dates) are skip per rules (internal IDs, timestamps, or non-PII address fragments).

USVoterData_BF__data__Nevada__2015__Nevada_Voters.txt

13 columns1,160,837 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
12	firstName	high	[12] header 'FIRST_NAME', values are names
13	middleName	high	[13] header 'MIDDLE_NAME', values are names
14	lastName	high	[14] header 'LAST_NAME', values are names
16	gender	high	[16] header 'SEX', values are 'M' and presumably 'F' elsewhere
18	dob	high	[18] header 'BIRTH_YEAR', values are 4-digit years
19	phone	high	[19] header 'PHONE_NUM', values are 10-digit numbers with area code
20	address1	high	[20] header 'RES_STREET_NUM', values are street numbers
22	address1	high	[22] header 'RES_STREET_NAME', values are street names
23	address2	high	[23] header 'RES_ADDRESS_TYPE', values are street types (ST, LN, AVE, etc.)
24	address2	high	[24] header 'RES_UNIT', values are apartment/unit numbers
25	city	high	[25] header 'RES_CITY', values are city names
26	state	high	[26] header 'RES_STATE', values are state abbreviations
27	zip	high	[27] header 'RES_ZIP_CODE', values are 5-digit zip codes

Notes: 80 columns total, 12 contain PII. Columns 0-11, 15, 17-79 are internal IDs, election codes, flags, timestamps, or other non-PII data. The 'NAME_SUFFIX' column is present but appears empty or mislabeled in this sample; if populated with generational suffixes (Jr, Sr, III, etc.), it would map to 'suffix'.

USVoterData_BF__data__Nevada__2018__Campaign_Finances__CampaignFinance.Cnddt.csv

2 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	firstName	high	[1] values are common given names (Michael, Richard, Carlo...), header 'Michael' suggests first name
2	lastName	high	[2] values are common surnames (Douglas, Ziser, Poliark...), header 'Douglas' suggests last name

USVoterData_BF__data__Nevada__2018__Campaign_Finances__CampaignFinance.Cntrbt.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data appears to be a structured CSV file, but all visible columns represent transaction IDs, monetary amounts, contribution types, and numerical codes. No identifiable PII fields (email, phone, name, address, etc.) are present in the sample rows. The data resembles financial contribution records without personal identifiers. All columns fall under skip criteria (transactional IDs, amounts, internal codes).

USVoterData_BF__data__Nevada__2018__Campaign_Finances__CampaignFinance.Cntrbtrs.csv

3 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	firstName	high	[0] values are common given names (Bonnie, John, Robert, James, Howard, Jeromi, Robert, Dave, Chris, April, Marilee, Fred, Ernest, Edward, James, Russell, Robert, Alan, Jeffrey, F.A, Mike, Mendy, Don, David, Dean, Charles, Daniel, Mark, Kathleen, Alfred, James, Curtis, Howard, Shirley, E. Alan, Michael, John, Natalie, David, John, James, Ron, Sheila, Marcus, Mark, Michelle, James, Tom, Mary, Courtney, Jim, Stephen, Ken, Gene, Jack, James, Jack, Joe, Dave, Ronald, Dina, Jack, Carl, Toni, Peter, Warren, John, Neal, Charles, Paul, Janell, Jerry, David, john, Camile, jenny)
1	middleName	high	[1] contains middle initials and full middle names (B, C, E, H, S, D, A, P, D, K, A, L, F, G, S, R, B, F)
2	lastName	high	[2] contains valid last names (Jacobs, Mueller, Paganelli, Tiras, Clark, Elias, Offerdahl, Hengst, Hubbard, Wheeler, Marriner, Plastiras, Lucking, Kovacs, Smith, Grossman, Leutheuser, Giudici, Bishop, Cashell, Ferris, Gussow, Kuckhoff, Chamberlain, Elliott, Kornstein, Thompson, Meiling, Otto, Wong, Sonnenshein, Fincham, Sperry, Jervey, Mclaclan, Marguleas, Dale, Tiras, Colarchik, Richard, Tiras, Menath, Houston, Routsis, Salvucci, Cauley, Salvucci, Sheehan, Adams, Mollett, Neumann, Ronsheimer, Hara, Cobb, Ragusa, Yohey, Detrick, Anderson, Houston, calvert, Lewis/Richards Jewelers, hubach)

USVoterData_BF__data__Nevada__2018__Campaign_Finances__CampaignFinance.Expn.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data appears to be a financial ledger or expense report, containing transaction IDs, monetary amounts, and expense types. There are no identifiable PII fields (names, addresses, emails, phone numbers, etc.) present in the visible rows. All columns contain internal IDs, transaction dates, monetary values, and expense classifications.

USVoterData_BF__data__Nevada__2018__Campaign_Finances__CampaignFinance.Grp.csv

3 columns1,135 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	fullName	high	[2] values are full names like 'Shirlanda Walker', 'James L. Wadhams', etc.
3	gender	high	[3] values are single letters 'T'/'F' representing gender
4	city	high	[4] values are city names like 'Northbrook', 'Sacramento', etc.

Notes: 50 rows shown, 3 PII columns identified. Column 0 appears to be an ID number, columns 1 contains PAC names which are organizational entities and not personal PII, and should be skipped. Gender is represented as T/F codes.

USVoterData_BF__data__Nevada__2018__Campaign_Finances__CampaignFinance.Rpr.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data appears to be a structured CSV file without headers. The columns do not contain any identifiable PII fields such as names, addresses, email addresses, phone numbers, dates of birth, SSNs, passwords, usernames, gender, suffix, or Facebook IDs. The data seems to consist of numerical identifiers, report types, years, dates, and flags, which are not classified as PII according to the given criteria. Therefore, no PII columns can be mapped.

USVoterData_BF__data__Nevada__2018__Nevada.csv

11 columns1,743,936 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	[1] header 'Clark', values are consistent surnames
2	firstName	high	[2] header 'TARIK', values are common given names
3	middleName	high	[3] header 'A', values are single letters used as middle initials
4	suffix	medium	[4] header 'ABI-KARAM', values appear to be generational suffixes or credentials (e.g., PhD, MD, Esq)
6	dob	high	[6] header '12/07/1973', values match MM/DD/YYYY date pattern
7	dob	high	[7] header '07/01/1992', additional date values likely birth dates
8	address1	high	[8] header '6 RIDGE BLOSSOM RD', values are full street addresses
10	city	high	[10] header 'LAS VEGAS', values are city names
11	state	high	[11] header 'NV', values are US state abbreviations
12	zip	high	[12] header '89135', values are 5-digit ZIP codes
13	phone	high	[13] header '7023684043-PDC', values are 10-digit phone numbers with optional suffix

Notes: 24 columns total, 11 contain PII: lastName, firstName, middleName, suffix, dob (two date columns), address1, city, state, zip, phone. Remaining columns are voter status codes, district IDs, party affiliation, and internal counters — these are skipped per rules.

USVoterData_BF__data__Nevada__2018__Voting_History__History.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file contains only internal IDs, dates, and status codes. There are no personal identifiers, emails, phone numbers, or other PII fields present in the visible rows. All columns appear to be internal tracking numbers (numeric IDs), election dates (MM/DD/YYYY format), and voting status codes (EV/PP/MB). No PII columns to map.

USVoterData_BF__data__New_Jersey__2017__voterhistory.txt

9 columns33,138,241 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] values are uppercase surnames (ABDELSALAM)
4	firstName	high	[4] values are uppercase given names (MOHAMED)
5	middleName	medium	[5] single letter consistent with middle initial
12	address1	high	[12] values look like street names (MALAGA CV)
16	city	high	[16] values are city names (ABSECON)
17	state	high	[17] values are US state abbreviations (NJ)
18	zip	high	[18] values are 5-digit US ZIP codes (08201)
31	dob	high	[31] values match MM/DD/YYYY date of birth pattern (07/06/1954)
37	phone	high	[37] values are 10-digit phone numbers (6096411681)

Notes: No header row detected; file appears to be headerless voter registration data. Columns 0 and 33 are internal voter IDs. Column 2 is party affiliation. Column 32 is registration date. Columns 38-40 are election history entries. Column 42 values (M/A) are ambiguous and not mapped as gender due to non-standard values.

USVoterData_BF__data__New_Jersey__2017__voters.txt

12 columns5,578,281 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'lastname', values are surnames in all caps
4	firstName	high	[4] header 'firstname', values are given names in all caps
5	middleName	high	[5] header 'middlename', values are single middle initials/names
6	suffix	medium	[6] header 'suffix', generational suffix field (empty in sample but maps to suffix)
7	address1	medium	[7] header 'streetnum', contains street number component of address — part of address1
10	address1	high	[10] header 'street', contains street name values like 'N NEW JERSEY AVE', part of residential address
11	address2	medium	[11] header 'apt', apartment/unit number field for address line 2
12	city	high	[12] header 'city', values are city names like 'ATLANTIC CITY', 'HAMMONTON'
14	zip	high	[14] header 'zip', values are 5-digit ZIP codes like '08401'
15	skip	high	[15] header 'dob_orig', values are dates of birth in MM/DD/YYYY format
16	skip	high	[16] header 'dob', values are dates of birth in YYYY-M-D format
17	gender	low	[17] header 'party', values are D/R/U — party affiliation, not gender; skipping in favor of actual gender. Actually skip.

Notes: 34 columns total. streetnum (col 7) and street (col 10) together form address1 — both mapped. dob appears twice (cols 15 and 16) in different formats; both mapped. suffa/suffb (cols 8-9) appear to be street suffix directionals (e.g. N, S), mapped as part of address but no clean PII field — skipped. municipality (col 13) is a township/borough subdivision, not a standard city field — skipped in favor of col 12. zip5/zip3 (cols 29-30) are derived zip fragments — skipped in favor of col 14. LastNoSpc/FirstInit/MidInit (cols 31-33) are derived/truncated name fields — skipped in favor of full name cols 3-5. party (col 17), status (col 20), x-prefixed columns, voterid, legacyid, id, STVoterID are internal/non-PII — skipped.

USVoterData_BF__data__New_York__2015__AllNYSVoters.txt

11 columns15,980,004 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	lastName	high	[0] header 'BUNZEY', values are common last names
1	firstName	high	[1] header 'MARCIA', values are common first names
2	middleName	high	[2] header 'R', values are single letters matching common name initials
3	suffix	high	[3] header '', values are generational suffixes (3RD, JR)
8	address1	high	[8] header 'CLOVE RD', values are street addresses
10	city	high	[10] header 'COBLESKILL', values are city names
11	zip	high	[11] header '12043', values are 5-digit ZIP codes
17	dob	high	[17] header '19510219', values match YYYYMMDD date pattern
18	gender	high	[18] header 'F', values are gender codes (F/M)
24	city	high	[24] header 'Seward', values are city names
35	dob	high	[35] header '19811002', values match YYYYMMDD date pattern

Notes: 45 columns total, 11 contain PII. Columns 0-3 (name components), 8-11 (address), 17 (birth date), 18 (gender), 24 (city), 35 (birth date) are mapped. All other columns are internal IDs, election data, or status flags and are skipped per rules.

USVoterData_BF__data__New_York__2018__NewYork.txt

12 columns18,158,537 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	lastName	high	[0] values are uppercase surnames: SEXTON, STEILS, JEFFORDS, SINDONI
1	firstName	high	[1] values are uppercase given names: COLLEEN, BRIAN, RYAN, ANTHONY
2	middleName	high	[2] single uppercase letters consistent with middle initial: M, S, D
3	suffix	high	[3] values include JR, consistent with generational suffix
4	phone	medium	[4] numeric values (703, 6312) appear to be partial phone number segments
8	address1	high	[8] values are street addresses: WURLITZER DR, GREEN VALLEY LA, SPRING ST, COLEMAN RD
10	city	high	[10] values are city names: N TONAWANDA, LOCKPORT, LEWISTON, BARKER
11	zip	high	[11] values are 5-digit ZIP codes: 14120, 14094, 14092
17	dob	high	[17] values match YYYYMMDD date pattern: 19710331, 19720601, 19720721
18	gender	high	[18] values are F/M, consistent with gender codes
24	city	medium	[24] values are municipality names: N Tonawanda, Town of Lockport, Lewiston — likely mailing city variant
32	address1	medium	[32] values contain full mailing addresses: 3420 WALLACE DR GRAND ISLAND NY — mailing address field

Notes: No header row present; 45 columns total. Voter registration data from New York state. Column 34 (M098132) appears to be a voter registration ID — skipped. Columns 19 (party), 21-23 (district codes), 25-28 (precinct/district numbers), 29/35/41/42 (registration/election dates), 36 (registration method), 37-40 (voter status flags), 43 (state voter ID), 44 (election history) are all non-PII administrative/political fields — skipped. Columns 5, 6, 7, 9, 12, 13, 14, 15, 16, 20, 30, 31, 33 are empty or contain sparse numeric district/precinct codes — skipped.

USVoterData_BF__data__North_Carolina__2015__north_carolina.txt

17 columns7,444,747 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
9	lastName	high	[9] header 'last_name', values are uppercase surnames
10	firstName	high	[10] header 'first_name', values are uppercase given names
11	middleName	high	[11] header 'midl_name', values are middle names
12	suffix	medium	[12] header 'name_sufx_cd', generational suffix code field after name
13	address1	high	[13] header 'res_street_address', values are residential street addresses
14	city	high	[14] header 'res_city_desc', values are city names
15	state	high	[15] header 'state_cd', values are 2-letter state codes
16	zip	high	[16] header 'zip_code', values are 5-digit ZIP codes
17	address1	high	[17] header 'mail_addr1', values are mailing address line 1 (PO Box or street)
18	address2	medium	[18] header 'mail_addr2', mailing address line 2
19	address2	medium	[19] header 'mail_addr3', mailing address continuation line
21	city	high	[21] header 'mail_city', values are mailing city names
22	state	high	[22] header 'mail_state', values are 2-letter state codes for mailing address
23	zip	high	[23] header 'mail_zipcode', values are 5-digit ZIP codes for mailing address
24	skip	high	[24] header 'full_phone_number', values are phone numbers
28	gender	high	[28] header 'gender_code', values are M/F gender codes
29	skip	medium	[29] header 'birth_age', values are ages derived from birth year — partial DOB indicator

Notes: 70 columns total; voter registration file for North Carolina (ALAMANCE county). PII includes name parts, residential and mailing address components, phone, gender, and birth age. race_code, ethnic_code, party_cd, birth_place, and district/precinct fields are non-PII administrative/demographic flags and are skipped. name_prefx_cd (col 8) is an honorific prefix — skipped. mail_addr3/addr4 (cols 19/20) mapped as address2 as continuation lines. birth_age (col 29) is a derived/bucketed age value rather than a true DOB but contains birth-year-derived PII.

USVoterData_BF__data__North_Carolina__2018__Info__DMV__NO_DMV_Match.csv

14 columns218,733 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
7	lastName	high	[7] header 'last_name', values are uppercase surnames
8	firstName	high	[8] header 'first_name', values are uppercase given names
9	middleName	high	[9] header 'middle_name', values are middle names
10	suffix	high	[10] header 'name_suffix_lbl', values include 'JR' — generational suffix
11	address1	medium	[11] header 'house_num', contains street number component of residential address; combined with street fields forms address1
14	address1	medium	[14] header 'street_name', contains street name component of residential address
19	city	high	[19] header 'res_city_desc', values are city names like WALNUT COVE, DREXEL
20	zip	high	[20] header 'zip_code', values are 5-digit US ZIP codes
21	address1	high	[21] header 'mail_addr1', values are mailing address lines like PO BOX 743
22	address2	medium	[22] header 'mail_addr2', secondary mailing address line
25	city	high	[25] header 'mail_city', values are mailing city names
26	state	high	[26] header 'mail_state', values are 2-letter US state codes like NC
27	zip	high	[27] header 'mail_zipcode', values are 5-digit ZIP codes for mailing address
34	gender	high	[34] header 'sex_code', values are M/F gender codes

Notes: 80 columns total; voter registration data for North Carolina. Address fields are split across house_num, street_dir, street_name, street_type_cd (cols 11-15) and should be concatenated into address1. Mailing address has separate addr1/addr2/city/state/zip fields. EOY_age (col 76) is an age-derived value not a DOB — skipped. race_code/race_desc, party_cd, precinct, district, and all jurisdictional/administrative columns are skipped as non-PII. confidential_ind, NCID, voter_reg_num, status fields are internal flags/IDs — skipped. Last_voted is a transactional date — skipped.

USVoterData_BF__data__North_Carolina__2018__Info__DMV__ReadMe_Voter_ID.txt

11 columns30 rows

File structure

Source column	Mapped field	Confidence	LLM assessment
1	firstName	high	Column header is 'first_name', values are common given names
2	lastName	high	Column header is 'last_name', values are common surnames
3	middleName	high	Column header is 'middle_name', values are common middle names
4	suffix	high	Column header is 'name_suffix_lbl', values are generational suffixes (Jr, Sr, III, IV)
5	address1	high	Column header is 'res_addr1', values are residential street addresses
6	address2	high	Column header is 'res_addr2', values are residential address line two (apartments, units)
7	state	high	Column header is 'res_state', values are two-letter US state abbreviations
8	city	high	Column header is 'res_city', values are city names
9	zip	high	Column header is 'res_zip', values are 5-digit ZIP codes
10	zip	high	Column header is 'res_zip4', values are 4-digit ZIP+4 extensions
11	gender	high	Column header is 'gender_cd', values are gender codes (F, M, U)

Notes: This is a structured tab-delimited voter registration file with 12 columns. Columns 0 (county_cd), 12 (race_cd), 13 (ethnic_cd), 14 (age), 15 (party_cd), and 16 (dmv_timestamp) contain non-PII codes, timestamps, or internal identifiers and are excluded from PII mapping. All PII fields map directly to voter registration data elements.

USVoterData_BF__data__North_Carolina__2018__Info__DMV__dmv_voter_id.txt

9 columns7,578 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	firstName	high	[1] header 'first_name', values are names
2	lastName	high	[2] header 'last_name', values are surnames
3	middleName	high	[3] header 'middle_name', values are middle names
5	address1	high	[5] header 'res_addr1', values are full street addresses
6	address2	high	[6] header 'res_addr2', values are apartment/unit numbers
7	state	high	[7] header 'res_state', values are two-letter US state codes
8	city	high	[8] header 'res_city', values are city names
9	zip	high	[9] header 'res_zip', values are 5-digit US ZIP codes
13	gender	high	[13] header 'gender_cd', values are M/F codes

Notes: 17 total columns, 9 contain PII. Columns 0, 4, 10, 11, 12, 14, 15, 16 are internal codes, timestamps, or demographic flags and are skipped.

USVoterData_BF__data__North_Carolina__2018__Info__ncvhis_ncvoter_data_format.txt

19 columns0 rows

File structure

Source column	Mapped field	Confidence	LLM assessment
5	lastName	high	[5] header 'last_name', values are surnames
6	firstName	high	[6] header 'first_name', values are given names
7	middleName	high	[7] header 'midl_name', values are middle names
10	address1	high	[10] header 'res_street_address', values are street addresses
11	city	high	[11] header 'res_city_desc', values are city names
12	state	high	[12] header 'state_cd', values are US state abbreviations
13	zip	high	[13] header 'zip_code', values are ZIP codes
14	address1	high	[14] header 'mail_addr1', values are mailing addresses
15	address2	high	[15] header 'mail_addr2', values are address line 2
16	address2	high	[16] header 'mail_addr3', values are address line 3
17	address2	high	[17] header 'mail_addr4', values are address line 4
18	city	high	[18] header 'mail_city', values are mailing city names
19	state	high	[19] header 'mail_state', values are mailing state abbreviations
20	zip	high	[20] header 'mail_zipcode', values are mailing ZIP codes
21	skip	high	[21] header 'full_phone_number', values are 10-digit phone numbers
23	gender	high	[23] header 'gender_code', values are 'M'/'F' gender codes
24	skip	high	[24] header 'birth_age', values are ages (YOB derived)
25	skip	high	[25] header 'birth_place', values indicate birth locations (age implied)
26	skip	high	[26] header 'birth_year', values are 4-digit birth years

Notes: 50 columns total, 26 contain PII. Columns 0-4 (county_id, county_desc, voter_reg_num, status_cd, voter_status_desc) are skipped per exclusion rules (internal IDs, status codes). Columns 27-50 contain district/precinct codes and geographic identifiers — these are skipped per exclusion rules (non-PII geographic codes).

USVoterData_BF__data__North_Carolina__2018__NorthCarolina.txt

16 columns8,114,702 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
9	lastName	high	[9] header 'last_name', values are surnames (AABEL, AARON)
10	firstName	high	[10] header 'first_name', values are given names (EVELYN, CHRISTINA, CLAUDIA, JAMES, NATHAN)
11	middleName	high	[11] header 'middle_name', values are middle names (LARSEN, CASTAGNA, HAYDEN, MICHAEL, EDWARD)
12	suffix	medium	[12] header 'name_suffix_lbl', no values in sample but column structure matches generational suffix pattern
13	address1	high	[13] header 'res_street_address', values are residential street addresses
14	city	high	[14] header 'res_city_desc', values are city names (GRAHAM, BURLINGTON)
15	state	high	[15] header 'state_cd', values are state codes (NC)
16	zip	high	[16] header 'zip_code', values are 5-digit postal codes
17	address1	high	[17] header 'mail_addr1', values are mailing street addresses (mailing address primary)
18	address2	high	[18] header 'mail_addr2', mailing address secondary/apartment line
21	city	high	[21] header 'mail_city', values are mailing city names
22	state	high	[22] header 'mail_state', values are mailing state codes (NC)
23	zip	high	[23] header 'mail_zipcode', values are mailing 5-digit postal codes
24	skip	high	[24] header 'full_phone_number', values include 10-digit phone numbers (3362291110, 2027443411)
28	gender	high	[28] header 'gender_code', values are M/F (gender indicators)
67	skip	high	[67] header 'birth_year', values are birth years (1935, 1976, 1945, 1948) — component of date of birth

Notes: US voter registration dataset spanning multiple states. 71 total columns; 16 contain PII. Columns 0–8, 19–20, 25–27, 29–66, 68–70 are administrative/jurisdictional (voter ID, county, precinct, district, party, registration date, race/ethnicity codes, drivers license flag) and are skipped. Birth_age [29] is calculated/derived and skipped; birth_year [67] is mapped as dob component. Note: columns 17–23 and 13–16 represent alternative address formats (residential vs. mailing); both sets are mapped per PII recovery protocol.

USVoterData_BF__data__North_Carolina__2018__Voting_History__ncvhis_Statewide.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is voter registration data from the US voter data compilation. All columns are internal IDs, county codes, election codes, precinct labels, and voting method indicators. No PII fields (names, addresses, DOB, etc.) are present in the first 50 rows. All columns are skipped per exclusion rules (internal IDs, election metadata, etc.).

USVoterData_BF__data__North_Carolina__2019__ncvoter_Statewide.txt

16 columns7,736,910 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
9	lastName	high	[9] header 'last_name', values are surnames
10	firstName	high	[10] header 'first_name', values are given names
11	middleName	high	[11] header 'middle_name', values are middle names
12	suffix	medium	[12] header 'name_suffix_lbl', column for generational/credential suffixes
13	address1	high	[13] header 'res_street_address', residential street addresses
14	city	high	[14] header 'res_city_desc', residential city names
15	state	high	[15] header 'state_cd', state code values (NC)
16	zip	high	[16] header 'zip_code', 5-digit postal codes
17	address1	high	[17] header 'mail_addr1', mailing address line 1
18	address2	high	[18] header 'mail_addr2', mailing address line 2
21	city	high	[21] header 'mail_city', mailing city names
22	state	high	[22] header 'mail_state', mailing state codes
23	zip	high	[23] header 'mail_zipcode', mailing postal codes
24	skip	high	[24] header 'full_phone_number', values are 10-digit phone numbers and placeholder 0s
28	gender	high	[28] header 'gender_code', values are M/F gender codes
67	skip	high	[67] header 'birth_year', contains birth year values (1935, 1978, etc.)

Notes: US voter registration data from North Carolina (likely multiple states in full dataset). 71 columns total, 16 contain PII. Columns 0–8, 19–20, 25–27, 29–70 are administrative codes, district assignments, party affiliation, driver's license status, registration dates, and precinct/municipality identifiers — all mapped to skip. Note: residential address [13–16] and mailing address [17–23] are both present; both mapped as they represent distinct address PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ALAMANCE_absentee_20201103.csv

8 columns75,995 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values 'F'/'M' map to gender
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII. Excluded internal IDs (voter_reg_num, ncid), timestamps (election_dt, ballot_req_dt, ballot_send_dt, ballot_rtn_dt), political/registration codes, and internal status fields per exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ALEXANDER_absentee_20201103.csv

8 columns17,721 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names or initials
8	gender	high	[8] header 'gender', values are M/F/U (male/female/undesignated)
10	address1	high	[10] header 'voter_street_address', contains street address components
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII. All voter registration data is structured with clear headers. No unstructured text present. Columns excluded: county_desc, voter_reg_num, ncid, race, ethnicity, age, ballot_mail addresses, relative request fields, election dates, party codes, district codes, ballot request fields, site names, verification statuses — these are internal identifiers, demographic codes, or non-PII metadata.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ALLEGHANY_absentee_20201103.csv

8 columns5,293 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized initials or middle names
8	gender	high	[8] header 'gender', values are 'M'/'F'/'U' (male/female/undesignated)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. Remaining columns are non-PII (county codes, voter IDs, election metadata, ballot statuses, district descriptors). No email/phone/SSN/password columns present.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ANSON_absentee_20201103.csv

8 columns8,594 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values contain middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'/'U' (female/male/undisclosed)
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII. All others are election metadata (party, district codes, dates, statuses) or empty fields. No emails, phones, SSNs, passwords, usernames, or DOB components are present in the first 50 rows.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ASHE_absentee_20201103.csv

14 columns12,136 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female)
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', values are supplemental addresses (some empty)
15	city	medium	[15] header 'ballot_mail_city', values are city names (some empty)
16	state	medium	[16] header 'ballot_mail_state', values are state abbreviations (NC) or empty
17	zip	medium	[17] header 'ballot_mail_zip', values are ZIP codes or empty
18	address2	low	[18] header 'other_mail_addr1', values are PO boxes or empty
19	address2	low	[19] header 'other_mail_addr2', values are city names or empty

Notes: 42 columns total, 19 contain PII. Columns 3-5 are name components, 8 is gender, 10-13 are primary address, 14-17 are ballot mail address, 18-19 are optional secondary addresses. All other columns are internal IDs, election metadata, or flags and are skipped.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__AVERY_absentee_20201103.csv

8 columns6,360 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are M/F
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 total columns, 7 contain PII. This is a voter registration dataset from North Carolina with structured fields for names, addresses, demographics, and voting history. Columns excluded: county_desc (geographic code), voter_reg_num (internal ID), ncid (state-issued ID), race/ethnicity (demographic but not PII), age (derived from DOB, but DOB not present), ballot request/send/return dates (transactional), party codes, precinct/district codes, and verification statuses.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__BEAUFORT_absentee_20201103.csv

12 columns22,061 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are common surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', contains initials and middle names
8	gender	high	[8] header 'gender', values are 'M'/'F'
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', values are US state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', non-empty values match address patterns
15	city	medium	[15] header 'ballot_mail_city', non-empty values match city names
16	state	medium	[16] header 'ballot_mail_state', non-empty values match US state abbreviations
17	zip	medium	[17] header 'ballot_mail_zip', non-empty values match ZIP codes

Notes: 42 total columns, 12 contain PII. All voter registration details mapped. Fields marked 'skip' include internal IDs, election metadata, and empty address fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__BERTIE_absentee_20201103.csv

12 columns8,612 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are M/F
10	address1	high	[10] header 'voter_street_address', contains street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', contains ballot mail addresses
15	city	medium	[15] header 'ballot_mail_city', contains ballot mail city names
16	state	medium	[16] header 'ballot_mail_state', contains ballot mail state abbreviations
17	zip	medium	[17] header 'ballot_mail_zip', contains ballot mail ZIP codes

Notes: 42 columns total, 12 contain PII (names, gender, addresses, ZIP). Remaining columns are voter IDs, election data, political party codes, and status flags — none contain PII. This is typical US voter registration data.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__BLADEN_absentee_20201103.csv

8 columns14,624 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (binary gender)
10	address1	high	[10] header 'voter_street_address', values contain full street addresses with optional apartment/unit numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. All PII fields are directly mapped from voter registration data. Columns with empty or non-PII values (ballot addresses, relative requests, election dates, party codes, etc.) are skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__BRUNSWICK_absentee_20201103.csv

12 columns88,237 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are common surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are common middle names
8	gender	high	[8] header 'gender', values are M/F/U (male/female/undisclosed)
10	address1	high	[10] header 'voter_street_address', contains street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes
14	address1	medium	[14] header 'ballot_mail_street_address', contains street addresses (some empty)
15	city	medium	[15] header 'ballot_mail_city', contains city names (some empty)
16	state	medium	[16] header 'ballot_mail_state', contains state abbreviations (NC) (some empty)
17	zip	medium	[17] header 'ballot_mail_zip', contains 5-digit ZIP codes (some empty)

Notes: 42 columns total, 12 contain PII. Columns 0,1,2,6,7,18-25,26,27-32,33-34,35-41 are non-PII (descriptive codes, dates, election metadata). No email, phone, SSN, password, or username fields detected.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__BUNCOMBE_absentee_20201103.csv

12 columns163,948 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are last names
4	firstName	high	[4] header 'voter_first_name', values are first names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' (standard gender codes)
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', contains 5-digit zip codes
14	address2	medium	[14] header 'ballot_mail_street_address', contains secondary addresses
15	city	medium	[15] header 'ballot_mail_city', contains city names
16	state	medium	[16] header 'ballot_mail_state', contains state abbreviations
17	zip	medium	[17] header 'ballot_mail_zip', contains 5-digit zip codes

Notes: 42 columns total, 11 contain PII. All columns with 'Company' or 'Business' prefixes have been skipped per rules. Timestamps and internal IDs (voter_reg_num, ncid, election_dt, ballot_req_dt, etc.) are skipped as non-PII. Voter registration numbers are internal identifiers and excluded.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__BURKE_absentee_20201103.csv

8 columns39,497 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names or initials
8	gender	high	[8] header 'gender', values are 'M'/'F' which are gender codes
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 total columns; 8 contain PII (names, gender, address components). All other columns are internal IDs, election metadata, party affiliation, and status flags which are skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CABARRUS_absentee_20201103.csv

12 columns107,191 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are common surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are M/F
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes
14	address2	medium	[14] header 'ballot_mail_street_address', values include street addresses
15	city	medium	[15] header 'ballot_mail_city', values are city names
16	state	medium	[16] header 'ballot_mail_state', values are state abbreviations
17	zip	medium	[17] header 'ballot_mail_zip', values are 5-digit zip codes

Notes: 42 columns total, 12 contain PII: names, gender, address, zip. Remaining columns are voter registration metadata (party affiliation, precinct, election dates) — not PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CALDWELL_absentee_20201103.csv

8 columns37,861 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names or initials
8	gender	high	[8] header 'gender', values are 'F'/'M' — standard gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers and apartment/unit indicators
11	city	high	[11] header 'voter_city', values are US city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 total columns; 8 contain PII. All other columns are non-PII voter registration metadata (party affiliation, precinct codes, election dates, ballot status). No phone, email, SSN, password, or DOB fields detected.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CAMDEN_absentee_20201103.csv

8 columns4,767 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are M/F codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are 2-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII (names, gender, address, zip). All other columns are election metadata, internal IDs, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CARTERET_absentee_20201103.csv

8 columns37,256 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are uppercase given names
5	middleName	high	[5] header 'voter_middle_name', values are uppercase middle names
8	gender	high	[8] header 'gender', values 'M'/'F' are binary gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses with number and street name
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 total columns, 8 contain PII: full names (first, middle, last), gender, full residential address (street, city, state, ZIP). All other columns are internal IDs (voter_reg_num, ncid), demographic codes (race, ethnicity), election metadata (precinct, district, ballot status), and timestamps — none are PII under the rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CASWELL_absentee_20201103.csv

12 columns9,243 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'/'U' (female/male/undesignated)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes
14	address2	low	[14] header 'ballot_mail_street_address', values are either blank or duplicate street addresses
15	city	low	[15] header 'ballot_mail_city', values are either blank or duplicate city names
16	state	low	[16] header 'ballot_mail_state', values are either blank or duplicate state abbreviations
17	zip	low	[17] header 'ballot_mail_zip', values are either blank or duplicate zip codes

Notes: 42 total columns; 11 contain PII. Excluded internal IDs (voter_reg_num, ncid), election metadata, and party/ballot tracking fields. All address components mapped where present and non-blank.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CATAWBA_absentee_20201103.csv

8 columns73,548 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', contains middle names and compound middle names
8	gender	high	[8] header 'gender', values are M/F/U (male/female/undisclosed)
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', contains 5-digit zip codes

Notes: 42 columns total, 8 contain PII. Columns 0-2,6-7,9,14-41 are internal IDs, election metadata, or flags and should be skipped. This dataset is a voter registration compilation with detailed personal information.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CHATHAM_absentee_20201103.csv

8 columns48,500 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are initials or middle names
8	gender	high	[8] header 'gender', values are 'F', 'U', 'M' (female, unspecified, male)
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII (names, gender, address, city/state/ZIP). Remaining columns contain voting-specific metadata (county, voter IDs, election dates, district codes, ballot statuses) which are not personally identifying.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CHEROKEE_absentee_20201103.csv

8 columns12,237 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII. Columns 0-2, 6-7, 14-41 are non-PII (geographic codes, IDs, election metadata, status flags). No email/phone/SSN/password present in sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CHOWAN_absentee_20201103.csv

8 columns7,033 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are uppercase given names
5	middleName	high	[5] header 'voter_middle_name', values are uppercase middle names
8	gender	high	[8] header 'gender', values are single-letter M/F codes
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII. Voter registration data from North Carolina showing full names, residential addresses, gender, and birth year. All other columns contain non-PII political/election data, internal IDs, and timestamps.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CLAY_absentee_20201103.csv

8 columns5,545 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames (ABELLO, ABERNATHY, ABLES, ACKERLY)
4	firstName	high	[4] header 'voter_first_name', values are given names (MANUEL, PATRICIA, HENRY, MARY, JAMES)
5	middleName	high	[5] header 'voter_middle_name', values are middle names (ALEXANDER, ANN, STANTON, ELLEN, HENDERSON)
8	gender	high	[8] header 'gender', values are gender codes (U=Unknown, M=Male, F=Female)
10	address1	high	[10] header 'voter_street_address', values are street addresses (66 PATTERSON LN, 96 CROSS LN, etc.)
11	city	high	[11] header 'voter_city', values are cities (HAYESVILLE)
12	state	high	[12] header 'voter_state', values are state codes (NC)
13	zip	high	[13] header 'voter_zip', values are zip codes (28904)

Notes: US voter registration data. 42 columns total; 8 contain PII. Columns 14-25 appear to be empty/placeholder mailing address fields. Columns 0-2, 6-7, 9, 26-41 are non-PII (administrative, transactional, political affiliation, electoral process data). No DOB or phone present; age is provided instead of birth date.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CLEVELAND_absentee_20201103.csv

8 columns44,370 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are common surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes

Notes: 42 columns total, 7 contain PII: full name components, gender, and full residential address (street, city, state, zip). All other columns are internal IDs, election metadata, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__COLUMBUS_absentee_20201103.csv

8 columns20,878 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are M/F codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. All other columns are voter registration metadata (party affiliation, precinct, election dates, status flags, etc.) which are not personally identifiable information per the exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CRAVEN_absentee_20201103.csv

15 columns49,139 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are full surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names or initials
8	gender	high	[8] header 'gender', values are M/F/U (male/female/undisclosed)
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	low	[14] header 'ballot_mail_street_address', values are either blank or secondary addresses
15	city	low	[15] header 'ballot_mail_city', values are either blank or city names
16	state	low	[16] header 'ballot_mail_state', values are either blank or state codes
17	zip	low	[17] header 'ballot_mail_zip', values are either blank or ZIP codes
18	address2	low	[18] header 'other_mail_addr1', values are all blank in sample
19	address2	low	[19] header 'other_mail_addr2', values are all blank in sample
20	zip	low	[20] header 'other_city_state_zip', values are all blank in sample

Notes: 42 total columns; 20 contain PII (names, addresses, gender, ZIPs). All voter identifiers (voter_reg_num, ncid) and election metadata are skipped per rules. Ballot-mail and other-mail addresses have sparse PII; included with low confidence due to blanks in sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CUMBERLAND_absentee_20201103.csv

8 columns137,213 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', contains middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit zip codes

Notes: 42 total columns, 9 contain PII. All others are non-PII (county codes, IDs, election codes, timestamps, status flags, location codes, etc.).

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__CURRITUCK_absentee_20201103.csv

8 columns11,318 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are initials or capitalized middle names
8	gender	high	[8] header 'gender', values 'F'/'M' map directly to gender
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns; 8 contain PII. Columns 0,1,2,6,7,14-41 are internal IDs, demographic flags, election metadata, or empty fields — skipped per exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__DARE_absentee_20201103.csv

12 columns20,865 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' which are standard gender codes
10	address1	high	[10] header 'voter_street_address', values contain street numbers and street names
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are standard US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes
14	address2	medium	[14] header 'ballot_mail_street_address', values include additional address lines when present
15	city	medium	[15] header 'ballot_mail_city', values are city names for ballot mail addresses
16	state	medium	[16] header 'ballot_mail_state', values are standard US state abbreviations for ballot mail addresses
17	zip	medium	[17] header 'ballot_mail_zip', values are 5-digit zip codes for ballot mail addresses

Notes: 42 total columns; 11 contain PII. Columns 0-2, 6-7, 18-25, 26-41 are non-PII (county codes, IDs, race/ethnicity, election data, flags, etc.). The dataset appears to be structured voter registration records with standard fields. All PII columns are explicitly named and contain expected values.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__DAVIDSON_absentee_20201103.csv

8 columns74,335 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are US state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII: names, gender, address, city, state, zip. All other columns are internal IDs, election metadata, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__DAVIE_absentee_20201103.csv

8 columns21,496 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values include both numeric placeholders and real surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values 'M'/'F' clearly indicate gender
10	address1	high	[10] header 'voter_street_address', values are full street addresses with proper formatting
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are standard US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes

Notes: 42 columns total, 8 contain PII. All PII columns are clearly labeled with standard voter registration terminology. Non-PII columns include county descriptors, internal IDs, election metadata, and empty ballot request fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__DUPLIN_absentee_20201103.csv

8 columns18,622 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are single-letter gender codes (F)
10	address1	high	[10] header 'voter_street_address', contains full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII (names, gender, address, state, ZIP). All others are election metadata (party, precinct, ballot status, dates) and should be skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__DURHAM_absentee_20201103.csv

15 columns189,210 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names or initials
8	gender	high	[8] header 'gender', values are 'F'/'M'
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address1	medium	[14] header 'ballot_mail_street_address', values are ballot mailing addresses
15	city	medium	[15] header 'ballot_mail_city', values are city names for ballot mail
16	state	medium	[16] header 'ballot_mail_state', values are two-letter state codes for ballot mail
17	zip	medium	[17] header 'ballot_mail_zip', values are 5-digit ZIP codes for ballot mail
18	address1	low	[18] header 'other_mail_addr1', contains non-empty foreign addresses
19	address2	low	[19] header 'other_mail_addr2', contains non-empty foreign address components
20	country	low	[20] header 'other_city_state_zip', contains 'BRAZIL' as a country indicator

Notes: 42 total columns, 11 contain PII. Columns 3-5 (names), 8 (gender), 10-13 (primary address), 14-17 (ballot mail address), 18-20 (foreign mail address) mapped. All other columns are internal IDs, election metadata, status codes, or empty fields and are skipped per exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__EDGECOMBE_absentee_20201103.csv

12 columns22,139 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are common middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' which are standard gender codes
10	address1	high	[10] header 'voter_street_address', values are street addresses with house numbers
11	city	high	[11] header 'voter_city', values are US city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', values include street addresses (some empty)
15	city	medium	[15] header 'ballot_mail_city', values are US city names (some empty)
16	state	medium	[16] header 'ballot_mail_state', values are two-letter US state abbreviations (some empty)
17	zip	medium	[17] header 'ballot_mail_zip', values are 5-digit US ZIP codes (some empty)

Notes: 42 total columns. Mapped 12 PII columns: names, gender, address components. All other columns are internal IDs, election metadata, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__FORSYTH_absentee_20201103.csv

12 columns195,606 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames with leading space
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are initials or middle names
8	gender	high	[8] header 'gender', values are 'F' (female)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state abbreviations ('NC')
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', values are either blank or duplicate voter address
15	city	medium	[15] header 'ballot_mail_city', values are either blank or duplicate voter city
16	state	medium	[16] header 'ballot_mail_state', values are either blank or duplicate voter state
17	zip	medium	[17] header 'ballot_mail_zip', values are either blank or duplicate voter ZIP

Notes: 42 columns total, 11 contain PII. This is voter registration data from North Carolina (NC) with full names, addresses, gender, and ballot mailing details. Timestamps and election metadata are present but not PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__FRANKLIN_absentee_20201103.csv

8 columns33,410 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F'/'U'
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. All columns are standard voter registration fields: names, gender, address, ZIP. Timestamps (election_dt, ballot_req_dt, etc.) and internal IDs (voter_reg_num, ncid) are excluded per rules. No emails, phones, or SSNs present in sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__GASTON_absentee_20201103.csv

12 columns105,056 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' (standard gender codes)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address1	medium	[14] header 'ballot_mail_street_address', values are ballot mail addresses (some empty)
15	city	medium	[15] header 'ballot_mail_city', values are ballot mail cities (some empty)
16	state	medium	[16] header 'ballot_mail_state', values are ballot mail states (some empty)
17	zip	medium	[17] header 'ballot_mail_zip', values are ballot mail ZIPs (some empty)

Notes: 42 total columns, 11 contain PII. This is a structured voter registration dataset with detailed personal information including full names, addresses, gender, and ZIP codes. All PII columns mapped based on headers and value patterns. Timestamps (election_dt, ballot_req_dt, etc.) and internal IDs (voter_reg_num, ncid) are skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__GATES_absentee_20201103.csv

20 columns4,722 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female)
10	address1	high	[10] header 'voter_street_address', values are street addresses with house numbers and street names
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	low	[14] header 'ballot_mail_street_address', values are blank or duplicate street addresses
15	city	low	[15] header 'ballot_mail_city', values are blank or duplicate city names
16	state	low	[16] header 'ballot_mail_state', values are blank or duplicate state abbreviations
17	zip	low	[17] header 'ballot_mail_zip', values are blank or duplicate ZIP codes
18	address2	low	[18] header 'other_mail_addr1', values are blank
19	address2	low	[19] header 'other_mail_addr2', values are blank
20	address2	low	[20] header 'other_city_state_zip', values are blank
21	fullName	low	[21] header 'relative_request_name', values are blank or full names
22	address1	low	[22] header 'relative_request_address', values are blank or duplicate street addresses
23	city	low	[23] header 'relative_request_city', values are blank or duplicate city names
24	state	low	[24] header 'relative_request_state', values are blank or duplicate state abbreviations
25	zip	low	[25] header 'relative_request_zip', values are blank or duplicate ZIP codes

Notes: 42 columns total, 26 contain PII. Voter registration data includes full names, residential addresses, birth year (derived from age), gender, and voting history. Age is not DOB, but birth year can be derived. Ballot mail and other mail addresses are duplicates or blanks and are low-confidence PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__GRAHAM_absentee_20201103.csv

8 columns3,625 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', contains initials and middle names
8	gender	high	[8] header 'gender', values 'M'/'F' — unambiguous gender codes
10	address1	high	[10] header 'voter_street_address', contains house numbers and street names
11	city	high	[11] header 'voter_city', consistent city names
12	state	high	[12] header 'voter_state', two-letter state abbreviations
13	zip	high	[13] header 'voter_zip', 5-digit zip codes

Notes: 42 columns total, 7 contain PII. All mapped columns are from voter registration data: names, gender, and full residential address including street, city, state, and zip. No emails, phones, DOB, or SSN are present in this sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__GRANVILLE_absentee_20201103.csv

8 columns29,179 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames or numeric IDs (numeric values still map as names in voter data)
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names or initials
8	gender	high	[8] header 'gender', values are 'F'/'M'/'U' (female/male/undisclosed)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns; 7 contain PII (names, gender, address, city, state, ZIP). All other columns are internal IDs, election metadata, geographic districts, status flags, or empty fields — skipped per exclusion rules. Numeric voter IDs and election dates are explicitly non-PII in this voter data context.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__GREENE_absentee_20201103.csv

8 columns7,187 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are uppercase given names
5	middleName	high	[5] header 'voter_middle_name', values are uppercase middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (standard gender codes)
10	address1	high	[10] header 'voter_street_address', contains street numbers and street names
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII. Columns 0-2,6-7,14-41 are internal IDs, demographic codes, election data, or empty fields and should be skipped. This dataset is typical US voter registration data with complete personal identifiers.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__GUILFORD_absentee_20201103.csv

12 columns269,900 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are valid last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values 'F'/'M' are standard gender codes
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviation 'NC'
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes
14	address1	high	[14] header 'ballot_mail_street_address', contains ballot mailing street addresses
15	city	high	[15] header 'ballot_mail_city', contains ballot mailing city names
16	state	high	[16] header 'ballot_mail_state', contains ballot mailing state abbreviation 'NC'
17	zip	high	[17] header 'ballot_mail_zip', contains ballot mailing ZIP codes

Notes: 42 total columns, 17 contain PII (names, gender, addresses, ZIP). All others are election metadata, internal IDs, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__HALIFAX_absentee_20201103.csv

8 columns22,017 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values include common surnames and special characters
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values show middle names or initials
8	gender	high	[8] header 'gender', values 'F'/'M' represent female/male
10	address1	high	[10] header 'voter_street_address', contains full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are US city names
12	state	high	[12] header 'voter_state', two-letter US state codes
13	zip	high	[13] header 'voter_zip', 5-digit US ZIP codes

Notes: Identified 7 PII columns: full names (first, middle, last), gender, and complete residential address components (street, city, state, ZIP). All other columns are internal IDs, election metadata, or status flags that do not contain personally identifiable information.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__HARNETT_absentee_20201103.csv

8 columns53,098 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values M/F/U (male/female/unspecified)
10	address1	high	[10] header 'voter_street_address', contains street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', contains 5-digit zip codes

Notes: 42 columns total, 8 contain PII: full names, gender, residential address, city, state, and zip. Remaining columns are election-related codes, dates, and identifiers (voter_reg_num, ncid) which are skipped per exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__HAYWOOD_absentee_20201103.csv

8 columns31,594 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' which are gender codes
10	address1	high	[10] header 'voter_street_address', contains street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII: full names, gender, and full residential addresses (street, city, state, ZIP). All other columns are voter registration metadata, election data, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__HENDERSON_absentee_20201103.csv

8 columns62,914 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values 'M'/'F' are standard gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 total columns; 8 contain PII. All other columns are election metadata (party affiliation, precinct, ballot status), internal IDs (voter_reg_num, ncid), or demographic codes (race, ethnicity) that are not considered PII in this context. No email, phone, SSN, password, or username fields detected.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__HERTFORD_absentee_20201103.csv

8 columns9,154 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'/'U' (Female/Male/Undisclosed)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with optional unit numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII. All PII columns map cleanly to voter registration fields: names, gender, full residential address (street + city + state + ZIP). Non-PII columns include voter IDs, election metadata, party affiliation, and empty ballot request fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__HOKE_absentee_20201103.csv

8 columns19,522 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' binary codes
10	address1	high	[10] header 'voter_street_address', contains full street addresses with house numbers and street names
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations ('NC')
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII: full names, gender, and complete residential addresses. All other columns are voter registration metadata, election dates, district information, and status flags — no additional PII present.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__HYDE_absentee_20201103.csv

8 columns1,359 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames including multi-word entries
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values include initials and full middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' (standard gender codes)
10	address1	high	[10] header 'voter_street_address', values are street addresses with number and street name
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 9 contain PII (names, gender, address components). All other columns represent internal IDs, election metadata, or empty ballot-mail fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__IREDELL_absentee_20201103.csv

8 columns89,045 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'/'U' (female/male/undeclared)
10	address1	high	[10] header 'voter_street_address', values are street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 total columns, 8 contain PII (names, gender, address, city, state, ZIP). All others are internal IDs, election codes, dates, or empty fields and must be skipped per exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__JACKSON_absentee_20201103.csv

8 columns18,847 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are single-character gender codes (F/M)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers and street names
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 total columns. PII present in voter name components (first, middle, last), gender, full residential address (street, city, state, ZIP), and gender. All other columns are internal voter IDs, election metadata, geographic codes, or empty fields, and are skipped per exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__JOHNSTON_absentee_20201103.csv

8 columns100,434 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames (AALVARADO, AARON)
4	firstName	high	[4] header 'voter_first_name', values are given names (MARIO, AMINA, KIYMANE)
5	middleName	high	[5] header 'voter_middle_name', values are middle names (ASBERTO, SARAN, DALE)
8	gender	high	[8] header 'gender', values are M/F/U (M, U, U, M, F)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with number and street name
11	city	high	[11] header 'voter_city', values are city names (CLAYTON)
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes (27520)

Notes: 42 total columns; 8 contain PII (names, gender, address, city, state, zip). Columns with empty or non-PII values (ballot addresses, relative request info, election dates, party codes, precinct descriptions) are skipped. No email, phone, dob, ssn, password, username, facebookId, or suffix columns present.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__JONES_absentee_20201103.csv

12 columns4,058 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are common last names
4	firstName	high	[4] header 'voter_first_name', values are common first names
5	middleName	high	[5] header 'voter_middle_name', values are common middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' which are gender codes
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', values are additional street addresses (some blank)
15	city	medium	[15] header 'ballot_mail_city', values are city names (some blank)
16	state	medium	[16] header 'ballot_mail_state', values are state abbreviations (some blank)
17	zip	medium	[17] header 'ballot_mail_zip', values are 5-digit ZIP codes (some blank)

Notes: 42 total columns, 11 contain PII. This is a voter registration dataset with detailed personal information including full names, addresses, gender, and ZIP codes. All columns mapped to PII fields based on header names and sample values. The remaining columns contain election-related metadata, demographic codes, and internal tracking information which are not PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__LEE_absentee_20201103.csv

8 columns26,932 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'F', 'M', 'U'
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII. Columns 0-2,6-7,9,14-41 are non-PII voter metadata (county, internal IDs, race, ethnicity, age, election dates, party affiliation, precinct, district codes, ballot status). All PII columns map cleanly to known voter registration fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__LENOIR_absentee_20201103.csv

8 columns26,020 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' coded gender
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 7 contain PII (names, gender, full address). All other columns are internal voter IDs, election metadata, and empty ballot request fields — skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__LINCOLN_absentee_20201103.csv

8 columns44,064 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' — unambiguous gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses with street numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 total columns, 9 contain PII. All other columns are election metadata (party, precinct, dates, status) or empty ballot-mail fields — not PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MACON_absentee_20201103.csv

8 columns17,770 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names or initials
8	gender	high	[8] header 'gender', values are 'F'/'M' (female/male)
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII (names, gender, address, state, zip). All other columns are voter registration metadata, election data, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MADISON_absentee_20201103.csv

8 columns11,421 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII: names, gender, full address (street, city, state, ZIP). All other columns are voting metadata (party, precinct, election dates) or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MARTIN_absentee_20201103.csv

8 columns9,768 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', contains initials and full middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female codes)
10	address1	high	[10] header 'voter_street_address', contains street addresses with house numbers
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations ('NC')
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 total columns, 9 contain PII. This is US voter registration data with full names, residential addresses, gender, and state ZIP codes. All other columns are internal IDs, election metadata, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MCDOWELL_absentee_20201103.csv

17 columns18,356 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names or initials
8	gender	high	[8] header 'gender', values are F/M codes
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address1	high	[14] header 'ballot_mail_street_address', values are street addresses for ballot mailing
15	city	high	[15] header 'ballot_mail_city', values are city names for ballot mailing
16	state	high	[16] header 'ballot_mail_state', values are state abbreviations for ballot mailing
17	zip	high	[17] header 'ballot_mail_zip', values are ZIP codes for ballot mailing
21	fullName	high	[21] header 'relative_request_name', values are full names of relatives
22	address1	high	[22] header 'relative_request_address', values are street addresses for relatives
23	city	high	[23] header 'relative_request_city', values are city names for relatives
24	state	high	[24] header 'relative_request_state', values are state abbreviations for relatives
25	zip	high	[25] header 'relative_request_zip', values are ZIP codes for relatives

Notes: US voter registration data. 42 columns total, 17 map to PII. Columns 0, 1, 2, 6, 7, 9, 18, 19, 20, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 are skipped (internal IDs, demographic flags, election metadata, dates, precinct/district assignments, ballot status). Note: age [9] is not DOB, only year can be inferred; ethnicity [7] and race [6] are demographic flags not mapped; party affiliation [27, 34] are political preference flags not mapped.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MECKLENBURG_absentee_20201103.csv

8 columns572,141 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are M/F codes
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are cities
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 7 contain PII. Columns 0-2,6-7,9,14-41 are skip (county codes, internal IDs, race/ethnicity, age, ballot/party/election metadata, site names, verification flags). No email/phone/SSN/password fields detected.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MITCHELL_absentee_20201103.csv

12 columns7,759 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values match middle names
8	gender	high	[8] header 'gender', values are 'M', 'F', and 'U' (undisclosed)
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address1	high	[14] header 'ballot_mail_street_address', contains ballot mail street addresses
15	city	high	[15] header 'ballot_mail_city', values are city names for ballot mail
16	state	high	[16] header 'ballot_mail_state', values are two-letter US state codes for ballot mail
17	zip	high	[17] header 'ballot_mail_zip', values are 5-digit ZIP codes for ballot mail

Notes: 42 total columns, 12 contain PII (names, gender, addresses, zip). Remaining columns contain election metadata, voter registration IDs, party affiliation, precinct information, and ballot request/tracking statuses — these are not PII. No phone numbers or emails appear in the sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MONTGOMERY_absentee_20201103.csv

8 columns9,541 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F'
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes

Notes: 42 total columns; 7 contain PII. All others are election metadata (party affiliation, precinct, dates, statuses) or internal IDs (voter_reg_num, ncid). No emails, phones, DOB, SSN, passwords, usernames, or suffixes present in the sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__MOORE_absentee_20201103.csv

12 columns52,622 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female codes)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	low	[14] header 'ballot_mail_street_address', values are blank or duplicate voter_street_address
15	city	low	[15] header 'ballot_mail_city', values are blank or duplicate voter_city
16	state	low	[16] header 'ballot_mail_state', values are blank or duplicate voter_state
17	zip	low	[17] header 'ballot_mail_zip', values are blank or duplicate voter_zip

Notes: 42 total columns, 11 contain PII. voter_reg_num, ncid, race, ethnicity, age, other_mail_addr1, other_mail_addr2, other_city_state_zip, relative_request_name/address/city/state/zip, election_dt, voter_party_code, precinct_desc, cong_dist_desc, nc_house_desc, nc_senate_desc, ballot_req_delivery_type, ballot_req_type, ballot_request_party, ballot_req_dt, ballot_send_dt, ballot_rtn_dt, ballot_rtn_status, site_name, sdr, mail_veri_status are non-PII or internal identifiers

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__NASH_absentee_20201103.csv

8 columns45,823 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values 'M'/'F' are binary gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII. All other columns are non-PII: county codes, internal IDs (voter_reg_num, ncid), demographic codes (race, ethnicity), age, party affiliation, district codes, ballot request/tracking data, site names, verification flags, etc. No emails, phones, DOB, SSN, passwords, usernames, or facebook IDs present.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__NEW_HANOVER_absentee_20201103.csv

12 columns129,590 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names or initials
8	gender	high	[8] header 'gender', values 'F'/'U'/'M' map to female/unknown/male
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address1	medium	[14] header 'ballot_mail_street_address', values are ballot mailing street addresses
15	city	medium	[15] header 'ballot_mail_city', values are ballot mailing city names
16	state	medium	[16] header 'ballot_mail_state', values are ballot mailing two-letter state codes
17	zip	medium	[17] header 'ballot_mail_zip', values are ballot mailing 5-digit ZIP codes

Notes: 42 total columns; 12 contain PII (names, gender, addresses, ZIP). All voter IDs (voter_reg_num, ncid) and election metadata are skipped per exclusion rules. No phone/email/SSN/DOB present in this sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__NORTHAMPTON_absentee_20201103.csv

8 columns8,239 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are M/F/U codes
10	address1	high	[10] header 'voter_street_address', contains street numbers and names
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', 5-digit numeric ZIP codes

Notes: 42 total columns, 8 contain PII. All columns are voter registration metadata from US state voter rolls. Excluded internal IDs (voter_reg_num, ncid), election-related fields, and demographic codes that are not PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ONSLOW_absentee_20201103.csv

14 columns62,640 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are M/F/U (male/female/undesignated)
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address1	medium	[14] header 'ballot_mail_street_address', non-empty values are duplicate ballot addresses
15	city	medium	[15] header 'ballot_mail_city', non-empty values match ballot city
16	state	medium	[16] header 'ballot_mail_state', non-empty values match ballot state
17	zip	medium	[17] header 'ballot_mail_zip', non-empty values match ballot ZIP
18	address2	low	[18] header 'other_mail_addr1', contains occasional apartment/unit numbers
19	address2	low	[19] header 'other_mail_addr2', contains occasional secondary address lines

Notes: 42 columns total, 19 contain PII. Columns 0,1,2,6,7,20-41,26-40 are non-PII voter metadata/status fields. All PII columns have clear headers matching voter registration standards.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ORANGE_absentee_20201103.csv

14 columns87,504 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames with prefixes/apostrophes
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values match middle names
8	gender	high	[8] header 'gender', values are 'M'/'U' (male/unknown)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with optional unit numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', values are blank or military addresses (apt/suite equivalents)
15	city	medium	[15] header 'ballot_mail_city', values are city names (some blank)
16	state	medium	[16] header 'ballot_mail_state', values are state codes or blank
17	zip	medium	[17] header 'ballot_mail_zip', values are ZIP codes or blank
18	address2	medium	[18] header 'other_mail_addr1', values are PO boxes or blank
19	address2	medium	[19] header 'other_mail_addr2', values are FPO addresses or blank

Notes: 42 columns total, 20 contain PII. Voter registration numbers (voter_reg_num), NCIDs (ncid), and election-related codes/dates are skipped per rules. Ballot and other mail addresses are present but sparse; mapped where populated.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__PAMLICO_absentee_20201103.csv

8 columns6,261 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values 'F'/'M' are standard gender codes
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII. All other columns are voter registration metadata (party affiliation, precinct, ballot status, etc.), internal IDs, or election administration codes and should be skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__PASQUOTANK_absentee_20201103.csv

8 columns18,080 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' binary codes
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns; 8 contain PII (names, gender, address, city, state, ZIP). All others are non-PII voter registration metadata (party, district codes, dates, status flags). No emails, phones, or SSNs present in sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__PENDER_absentee_20201103.csv

8 columns31,297 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized given names
8	gender	high	[8] header 'gender', values 'F'/'M' represent female/male
10	address1	high	[10] header 'voter_street_address', contains house numbers and street names
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. All others are internal IDs, election metadata, status codes, and empty fields. No emails, phones, SSNs, DOBs, passwords, or usernames present in the sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__PERQUIMANS_absentee_20201103.csv

8 columns6,743 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are initials or capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' (standard gender code)
10	address1	high	[10] header 'voter_street_address', contains street numbers and names
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII (names, gender, address, zip). All other columns are election metadata, codes, IDs, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__PERSON_absentee_20201103.csv

8 columns19,116 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'M'/'F'/'U'
10	address1	high	[10] header 'voter_street_address', contains street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', contains 5-digit zip codes

Notes: 42 columns total, 8 contain PII (names, address, gender). Columns 0-2, 6-7, 14-41 contain non-PII voter metadata (county, IDs, election dates, status codes, etc.).

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__PITT_absentee_20201103.csv

8 columns80,048 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are single-letter gender codes M/F
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit US zip codes

Notes: 42 total columns, 8 contain PII: full names, gender, and full residential addresses. Remaining columns contain election metadata, precinct information, and status flags which are not personally identifying.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__POLK_absentee_20201103.csv

8 columns10,574 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are initials or capitalized given names
8	gender	high	[8] header 'gender', values are 'F'/'M' — standard gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 columns total, 8 contain PII (names, gender, address, city/state/ZIP). All other columns are election-related metadata (party, precinct, ballot status, dates) or internal IDs (voter_reg_num, ncid) which are skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__RANDOLPH_absentee_20201103.csv

8 columns62,439 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'/'U'
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes

Notes: 42 total columns; 8 contain PII (names, gender, address, zip). All other columns are internal IDs, election metadata, or empty fields (skipped).

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__RICHMOND_absentee_20201103.csv

8 columns17,559 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values match middle name patterns
8	gender	high	[8] header 'gender', values are 'M'/'F' — standard gender codes
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations like 'NC'
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 total columns; 7 contain PII (names, gender, address, city/state/ZIP). All others are internal IDs, election metadata, or empty ballot-mail fields — skipped per rules. No emails, phones, or SSNs present in the sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ROBESON_absentee_20201103.csv

8 columns36,083 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are common surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are common middle names
8	gender	high	[8] header 'gender', values are M/F
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII: full name components, gender, residential address, city, state, and ZIP code. All other columns are internal IDs, election metadata, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ROCKINGHAM_absentee_20201103.csv

8 columns40,341 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values include initials and full middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female codes)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with optional unit numbers
11	city	high	[11] header 'voter_city', values are US city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII (names, gender, address, city/state/ZIP). All other columns are internal IDs, election metadata, political party codes, dates, and status flags — none contain personal information.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__ROWAN_absentee_20201103.csv

8 columns61,034 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'M'/'F'/'U'
10	address1	high	[10] header 'voter_street_address', values are street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII (names, address, gender). All other columns are voter registration metadata (party, precinct, election dates, status codes), internal IDs, or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__RUTHERFORD_absentee_20201103.csv

12 columns27,787 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are single-letter gender codes
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', values are either empty or street addresses
15	city	medium	[15] header 'ballot_mail_city', values are either empty or city names
16	state	medium	[16] header 'ballot_mail_state', values are either empty or state abbreviations
17	zip	medium	[17] header 'ballot_mail_zip', values are either empty or 5-digit ZIP codes

Notes: 42 columns total, 11 contain PII: full names, gender, age (treated as non-PII per rules), and complete addresses. All voter registration IDs (voter_reg_num, ncid) are skipped per internal ID exclusion rules. Timestamps and election codes are non-PII and skipped.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__SAMPSON_absentee_20201103.csv

8 columns25,537 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names or initials
8	gender	high	[8] header 'gender', values are 'M'/'F'/'U' (male/female/unknown)
10	address1	high	[10] header 'voter_street_address', contains street addresses
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', contains 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII (names, gender, address, city, state, zip). All other columns are voter registration metadata (county, voter ID, election dates, party codes, precinct codes, etc.) and are non-PII.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__SCOTLAND_absentee_20201103.csv

8 columns13,156 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are M/F/U (male/female/undeclared)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII: names, gender, and full residential address fields. All other columns are election metadata (party affiliation, district codes, dates, status flags) and do not contain personal identifiable information.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__STANLY_absentee_20201103.csv

8 columns28,685 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values 'M'/'F'/'U' are standard gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house number and street name
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. Columns 0-2, 6-7, 14-41 are non-PII voter metadata, election logistics, or empty fields. Data is from US voter registration rolls.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__STOKES_absentee_20201103.csv

8 columns19,414 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are initials or middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII (names, gender, address, state, ZIP). All other columns are internal IDs, election metadata, party affiliation, or empty fields and are skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__SURRY_absentee_20201103.csv

8 columns32,203 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values appear to be middle names
8	gender	high	[8] header 'gender', values are 'F' (female) and 'U' (undesignated)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. This is a structured voter registration dataset from North Carolina with detailed personal and residential information. All PII columns are clearly labeled and contain expected values.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__SWAIN_absentee_20201103.csv

12 columns5,659 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names or initials
8	gender	high	[8] header 'gender', values are M/F codes
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address1	medium	[14] header 'ballot_mail_street_address', values are mailing addresses
15	city	medium	[15] header 'ballot_mail_city', values are city names
16	state	medium	[16] header 'ballot_mail_state', values are two-letter US state codes
17	zip	medium	[17] header 'ballot_mail_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 12 contain PII. This is a structured voter registration dataset with full names, addresses, birth year (age), gender, and mailing addresses. All PII columns mapped based on header names and sample values. Non-PII columns (county, voter ID numbers, election details, party codes, etc.) are skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__TRANSYLVANIA_absentee_20201103.csv

8 columns18,380 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all caps surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values show initials or middle names
8	gender	high	[8] header 'gender', values are 'M'/'F' (male/female)
10	address1	high	[10] header 'voter_street_address', values show full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes

Notes: 42 total columns; 7 contain PII (names, gender, address, zip). All others are voter registration metadata, election dates, precinct codes, status flags — no PII. No emails, phones, or SSNs visible in the first 50 rows.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__TYRRELL_absentee_20201103.csv

8 columns1,318 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values 'M'/'F'/'U' (Male/Female/Undesignated)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 9 contain PII: lastName, firstName, middleName, gender, address1, city, state, zip. All other columns are internal IDs, election metadata, status flags, or empty ballot-mail fields — none qualify as PII per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__UNION_absentee_20201103.csv

8 columns120,784 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values 'M'/'F' are standard gender codes
10	address1	high	[10] header 'voter_street_address', contains street address info
11	city	high	[11] header 'voter_city', contains city names
12	state	high	[12] header 'voter_state', contains state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', contains 5-digit zip codes

Notes: 42 total columns; 8 contain PII (names, address, gender). All other columns are election-related metadata, voter IDs, or empty fields, and are skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__VANCE_absentee_20201103.csv

8 columns18,962 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'/'U' (female/male/undesignated)
10	address1	high	[10] header 'voter_street_address', values are street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit zip codes

Notes: 42 columns total, 8 contain PII: full name components, gender, and full residential address. All other columns are election metadata (party affiliation, precinct, dates, status codes) and are skip per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__WAKE_absentee_20201103.csv

8 columns622,316 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are common surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are common middle names
8	gender	high	[8] header 'gender', values 'M'/'U' represent male/unknown
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII. Columns 0-2,6-7,14-41 contain non-PII voter metadata, election data, and status flags. No email/phone/SSN/password fields present in this dataset.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__WARREN_absentee_20201103.csv

8 columns9,047 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are initials or capitalized names
8	gender	high	[8] header 'gender', values are 'F'/'M' (female/male)
10	address1	high	[10] header 'voter_street_address', values are street addresses with number and street name
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII (names, gender, address, city, state, ZIP). All other columns are election metadata (party, district, dates) or empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__WASHINGTON_absentee_20201103.csv

8 columns5,209 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all-uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values match initials and middle names
8	gender	high	[8] header 'gender', values 'F'/'M' are standard gender codes
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state codes
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 columns total, 9 contain PII. All PII fields are from voter registration records: names, gender, full residential address, and state/ZIP codes. Non-PII fields include voter IDs, election dates, party affiliations, and precinct details, which are excluded per exclusion rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__WATAUGA_absentee_20201103.csv

8 columns30,058 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values match middle names
8	gender	high	[8] header 'gender', values 'F'/'M' are binary gender codes
10	address1	high	[10] header 'voter_street_address', values are street addresses with optional apartment/unit numbers
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations (NC)
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII: names, gender, address components. Remaining columns contain election metadata, voter IDs, party affiliation, precinct information, and status flags — none are personal PII. Voter IDs (voter_reg_num, ncid) are internal identifiers and skipped per rules.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__WAYNE_absentee_20201103.csv

8 columns50,452 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized surnames
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are capitalized middle names
8	gender	high	[8] header 'gender', values are 'F'/'M'
10	address1	high	[10] header 'voter_street_address', contains full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 total columns, 8 contain PII. All others are internal IDs, election metadata, location codes, or empty fields. No emails, phones, DOB, or SSN present in sample.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__WILKES_absentee_20201103.csv

8 columns26,026 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are uppercase surnames
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are M/F/U (male/female/unspecified)
10	address1	high	[10] header 'voter_street_address', values are full street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 7 contain PII (names, address, gender, ZIP). Remaining columns are election metadata, internal IDs, and empty fields.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__WILSON_absentee_20201103.csv

8 columns34,938 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are surnames
4	firstName	high	[4] header 'voter_first_name', values are given names
5	middleName	high	[5] header 'voter_middle_name', values are middle names
8	gender	high	[8] header 'gender', values are M/F/U
10	address1	high	[10] header 'voter_street_address', contains street addresses
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes

Notes: 42 columns total, 8 contain PII: full name components, gender, and full residential address. All other columns are voter registration metadata, election data, or internal IDs.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__YADKIN_absentee_20201103.csv

12 columns14,332 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are capitalized last names
4	firstName	high	[4] header 'voter_first_name', values are capitalized given names
5	middleName	high	[5] header 'voter_middle_name', values are single letters or capitalized names
8	gender	high	[8] header 'gender', values are 'F' (female), 'M' (male), or 'U' (undisclosed)
10	address1	high	[10] header 'voter_street_address', values are full street addresses with house numbers and street names
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations ('NC')
13	zip	high	[13] header 'voter_zip', values are 5-digit ZIP codes
14	address2	medium	[14] header 'ballot_mail_street_address', values are either blank or duplicate street addresses
15	city	medium	[15] header 'ballot_mail_city', values are either blank or duplicate city names
16	state	medium	[16] header 'ballot_mail_state', values are either blank or duplicate state abbreviations
17	zip	medium	[17] header 'ballot_mail_zip', values are either blank or duplicate ZIP codes

Notes: 42 columns total, 11 contain PII. Excluded internal IDs (voter_reg_num, ncid), election metadata, and party/precinct codes. All address components (residential and ballot mail) mapped. Gender field uses 'F'/'M'/'U' codes.

USVoterData_BF__data__North_Carolina__2020__Absentee_2020-11-03__YANCEY_absentee_20201103.csv

8 columns9,976 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'voter_last_name', values are all uppercase last names
4	firstName	high	[4] header 'voter_first_name', values are common given names
5	middleName	high	[5] header 'voter_middle_name', values are common middle names
8	gender	high	[8] header 'gender', values are 'F'/'M' — unambiguous gender codes
10	address1	high	[10] header 'voter_street_address', contains house number + street
11	city	high	[11] header 'voter_city', values are city names
12	state	high	[12] header 'voter_state', values are two-letter US state abbreviations
13	zip	high	[13] header 'voter_zip', values are 5-digit US ZIP codes

Notes: 42 columns total, 9 contain PII. All voter registration identifiers (voter_reg_num, ncid) and internal codes (party, precinct, district) are skipped per rules. Dates, status flags, and election metadata are also skipped.

USVoterData_BF__data__Ohio__2015__ADAMS.txt

8 columns17,102 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or common middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', all values are 'OH' (Ohio)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns; only PII columns mapped. All election-specific columns (party affiliation, voter status, precinct codes, etc.) are skipped per rules as they contain no personal PII fields.

USVoterData_BF__data__Ohio__2015__ALLEN.txt

10 columns68,844 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like 'DORNELAR', 'RICHARDSON'
4	firstName	high	[4] header 'FIRST_NAME', values are given names like 'YASMINE', 'MARY'
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or names like 'JANE', 'L'
6	suffix	medium	[6] header 'SUFFIX', values may contain generational suffixes (though sample shows nulls)
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD pattern: '1996-06-24', '1948-09-14'
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses like '1441 N CABLE RD'
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are secondary units like 'SPC 33', 'APT 217'
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names like 'LIMA', 'ALGER'
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes like 'OH'
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes like '45805', '45812'

Notes: 50 rows shown, 100 total columns. PII columns identified: lastName, firstName, middleName, suffix, dob, address1, address2, city, state, zip. All other columns are geographic/district codes, election participation flags, or internal IDs — skipped per rules.

USVoterData_BF__data__Ohio__2015__ASHLAND.txt

15 columns35,503 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper nouns
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters
6	suffix	high	[6] header 'SUFFIX', values may contain generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
20	address2	high	[20] header 'MAILING_SECONDARY_ADDRESS', values are apartment/unit numbers
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit zip codes

Notes: 100 columns total, 20 contain PII: names, DOB, full residential and mailing addresses. Remaining columns are geographic/district codes, election participation flags, and internal identifiers — all skipped per rules.

USVoterData_BF__data__Ohio__2015__ASHTABULA.txt

10 columns61,290 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all capitalized last names
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes or credentials
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are secondary address components
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows shown, 100 columns total. Mapped 10 PII columns: lastName, firstName, middleName, suffix, dob, address1, address2, city, state, zip. All other columns are political/election data, internal IDs, or location codes that do not contain PII.

USVoterData_BF__data__Ohio__2015__ATHENS.txt

8 columns45,163 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed, 9 PII columns identified. All address fields map to residential address components. No phone/email/SSN fields visible in first 50 rows.

USVoterData_BF__data__Ohio__2015__AUGLAIZE.txt

9 columns31,829 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or given names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: Only PII columns mapped. All voter-specific codes (precinct, district, etc.) and timestamps are skipped per rules. 100 total columns, 9 contain PII.

USVoterData_BF__data__Ohio__2015__BELMONT.txt

8 columns47,094 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters or full middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes (OH)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows shown, 100 total columns. Only PII columns mapped; all others are geographic/district codes, election data, internal IDs, or administrative fields per exclusion rules.

USVoterData_BF__data__Ohio__2015__BROWN.txt

8 columns28,625 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper nouns
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit numeric values

Notes: 50 rows analyzed; 100 total columns in file. Only PII columns mapped — voter IDs, election participation flags, and district codes skipped per rules.

USVoterData_BF__data__Ohio__2015__BUTLER.txt

13 columns250,008 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are typical surnames
4	firstName	high	[4] header 'FIRST_NAME', values are typical given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or common middle names
6	suffix	high	[6] header 'SUFFIX', value 'SR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values appear to be mailing addresses (though some are empty)
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter US state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows shown, 100 columns total. Columns 0-2 (voter ID, county numbers) are internal identifiers and skipped. Election participation columns (46-99) contain voting history flags and are skipped. Residential and mailing address columns contain complete PII. All address components (city, state, zip) are present in both residential and mailing sections.

USVoterData_BF__data__Ohio__2015__CARROLL.txt

13 columns18,188 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or capitalized names
6	suffix	high	[6] header 'SUFFIX', values will be generational or credential suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', contains street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', contains city names
14	state	high	[14] header 'RESIDENTIAL_STATE', two-letter state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', contains street addresses
21	city	high	[21] header 'MAILING_CITY', contains city names
22	state	high	[22] header 'MAILING_STATE', two-letter state codes
23	zip	high	[23] header 'MAILING_ZIP', 5-digit ZIP codes

Notes: 50 rows analyzed, 12 PII columns identified. File is structured voter registration data with residential and mailing addresses, full names, birth dates, and state codes. All other columns are internal IDs, election/district codes, and voting history flags (skipped).

USVoterData_BF__data__Ohio__2015__CHAMPAIGN.txt

12 columns25,928 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are proper nouns
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns. PII columns identified: lastName, firstName, middleName, dob, residential address components, mailing address components. All other columns are voting metadata (precincts, districts, party affiliation, election results) and should be skipped per rules.

USVoterData_BF__data__Ohio__2015__CLARK.txt

10 columns89,268 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names or initials
6	suffix	high	[6] header 'SUFFIX', values like 'IV' are generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values like 'APT 136' are secondary addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 10 PII columns identified. The file is a structured voter registration dataset with detailed personal information including full names, birth dates, and residential addresses. All columns not listed are internal administrative codes, election data, or geographic district identifiers and have been excluded per rules.

USVoterData_BF__data__Ohio__2015__CLERMONT.txt

9 columns138,038 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single initials
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows shown; file contains 100 columns total. PII columns identified: lastName, firstName, middleName, dob, address1, address2, city, state, zip. All other columns are geographic/district codes, election participation flags, or internal identifiers — mapped to skip.

USVoterData_BF__data__Ohio__2015__CLINTON.txt

9 columns26,746 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names
6	suffix	medium	[6] header 'SUFFIX', values may be generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows analyzed, 9 PII columns identified: lastName, firstName, middleName, suffix, dob, address1, city, state, zip. All other columns are internal IDs, political/electoral codes, district information, or timestamps and therefore skipped per exclusion rules.

USVoterData_BF__data__Ohio__2015__COLUMBIANA.txt

12 columns65,925 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper nouns
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are PO Box addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 columns total. Mapped 12 PII columns: names, DOB, residential and mailing addresses (street, city, state, ZIP). All election-specific columns (party affiliation, voting history, district info) are skipped as non-PII per rules.

USVoterData_BF__data__Ohio__2015__COSHOCTON.txt

8 columns22,941 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames (HILL, BROWN, KING, FERRELL, BICE)
4	firstName	high	[4] header 'FIRST_NAME', values are given names (MACY, JEREMY, THOMAS, DELORES, TONY)
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or given names (K, ALLEN, KELLY, C, B)
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO format dates (1998-09-08, 1981-04-17, 1967-12-30, 1941-02-28, 1971-08-22)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses (20249 CR 6, 308 S OAK ST, 2388 S 6TH ST, 404 MAPLE ST, 43465 TR 296)
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names (COSHOCTON, WEST LAFAYETTE, COSHOCTON, WARSAW, DRESDEN)
14	state	high	[14] header 'RESIDENTIAL_STATE', consistent state abbreviation 'OH'
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit US ZIP codes (43812, 43845, 43812, 43844, 43821)

Notes: Identified 9 PII columns in this voter data file: lastName, firstName, middleName, dob, address1, city, state, zip. All other columns are administrative/electoral codes, dates, or internal IDs and are skipped per rules.

USVoterData_BF__data__Ohio__2015__CRAWFORD.txt

9 columns28,242 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names or initials
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 100 columns total, 9 contain PII (name components, DOB, full residential address). All other columns are geographic/district codes, election participation flags, or internal IDs — mapped to skip.

USVoterData_BF__data__Ohio__2015__CUYAHOGA.txt

8 columns883,611 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit numeric ZIP codes

Notes: Identified 9 PII columns: lastName, firstName, middleName, dob, address1, city, state, zip. All other columns are internal identifiers, voting districts, election history, or geographic codes and are skipped per rules.

USVoterData_BF__data__Ohio__2015__DARKE.txt

9 columns34,339 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names or initials
6	suffix	high	[6] header 'SUFFIX', values may contain generational suffixes (though sample shows blank)
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 9 PII columns identified across name components, date of birth, and full residential address fields. All election-specific columns (party affiliation, precinct codes, voting history) are skipped per rules as they contain no personal PII.

USVoterData_BF__data__Ohio__2015__DEFIANCE.txt

8 columns25,961 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are last names (KLINE, DELAGRANGE, THOMAS, BRINCK, BICE)
4	firstName	high	[4] header 'FIRST_NAME', values are first names (BERNARD, TIMOTHY, JAMES, JEFFREY, RITA)
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or full middle names (J, L, A, CHARLES, M)
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern (1984-09-18, 1980-08-28, 1946-01-26, 1968-11-02, 1946-01-15)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses (8700 ST RT 249, 6219 OH IN STATE LINE RD, 165 LAKEVIEW DR, 20495 HAMMERSMITH RD, 115 W HICKS ST)
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names (HICKSVILLE, HICKSVILLE, DEFIANCE, DEFIANCE, HICKSVILLE)
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations (OH)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes (43526, 43526, 43512, 43512, 43526)

Notes: 50 rows shown, 100 columns total. PII columns identified: lastName (3), firstName (4), middleName (5), dob (7), address1 (11), city (13), state (14), zip (15). Remaining columns are internal IDs, geographic districts, election participation flags, and other non-PII metadata.

USVoterData_BF__data__Ohio__2015__DELAWARE.txt

12 columns135,666 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are full street addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter US state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 columns total. PII columns identified: lastName, firstName, middleName, dob, residential and mailing address components (address1, city, state, zip). All other columns are internal IDs, election/district codes, or voting history flags — not PII.

USVoterData_BF__data__Ohio__2015__ERIE.txt

10 columns53,314 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters
6	suffix	high	[6] header 'SUFFIX', value 'JR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', value 'APT 304' is a secondary address component
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows shown, 100 total columns; 10 PII columns identified (names, DOB, full residential address). Remaining columns are voting metadata (districts, party affiliation, election participation) — no PII.

USVoterData_BF__data__Ohio__2015__FAIRFIELD.txt

9 columns101,285 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters
6	suffix	high	[6] header 'SUFFIX', value 'III' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows analyzed; 9 columns contain PII (names, DOB, address components). Remaining columns are election/district codes, voting history flags (X/R/D), and internal IDs — all skip per rules.

USVoterData_BF__data__Ohio__2015__FAYETTE.txt

8 columns16,413 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values like '1959-09-08'
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values like 'BLOOMINGBURG'
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns. PII mapped: lastName, firstName, middleName, dob, address1, city, state, zip. All other columns are election/district codes, timestamps, internal IDs, or flags — skipped per rules.

USVoterData_BF__data__Ohio__2015__FRANKLIN.txt

9 columns853,818 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters
6	suffix	high	[6] header 'SUFFIX', values appear to be generational suffixes (though empty in sample)
7	dob	high	[7] header 'DATE_OF_BIRTH', values in ISO date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 columns shown, 7 contain PII: names, DOB, full residential address. All other columns are voting metadata (districts, election participation flags, etc.) and should be skipped per rules.

USVoterData_BF__data__Ohio__2015__FULTON.txt

10 columns29,223 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are proper names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or short names
6	suffix	high	[6] header 'SUFFIX', values expected to be generational suffixes or credentials
7	dob	high	[7] header 'DATE_OF_BIRTH', values are ISO 8601 dates
10	gender	high	[10] header 'PARTY_AFFILIATION', values are single letters likely representing gender (R/D) based on voter data patterns
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows shown, 100 total columns; mapped 10 PII columns including names, DOB, gender, and full residential address. All other columns are election-related codes, districts, or voting history flags (skip).

USVoterData_BF__data__Ohio__2015__GALLIA.txt

12 columns19,076 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are capitalized middle names or initials
7	dob	high	[7] header 'DATE_OF_BIRTH', values are ISO 8601 dates
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values include 'PO BOX' format
21	city	medium	[21] header 'MAILING_CITY', values are city names
22	state	medium	[22] header 'MAILING_STATE', values are two-letter US state codes
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows shown; 100 total columns. PII identified in name components, DOB, and both residential and mailing address fields. All election participation columns are skip (voting history/flags).

USVoterData_BF__data__Ohio__2015__GEAUGA.txt

10 columns65,495 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or names
6	suffix	high	[6] header 'SUFFIX', values expected to be generational suffixes (though sample shows blanks)
7	dob	high	[7] header 'DATE_OF_BIRTH', values in YYYY-MM-DD date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values contain apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns. PII identified in voter registration data: names, DOB, full residential address (street, city, state, ZIP). Remaining columns are geographic/district codes, election participation history, and internal administrative fields — all skipped per rules.

USVoterData_BF__data__Ohio__2015__GREENE.txt

9 columns115,221 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are common middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values indicate apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns. Mapped 9 PII columns: lastName, firstName, middleName, dob, address1, address2, city, state, zip. All other columns are geographic/district codes, election history, or internal identifiers and are skipped per rules.

USVoterData_BF__data__Ohio__2015__GUERNSEY.txt

13 columns24,224 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state codes
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 columns mapped as PII from 100 total columns; remaining columns are geographic/district codes, election participation flags, and internal identifiers

USVoterData_BF__data__Ohio__2015__HAMILTON.txt

9 columns582,921 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	fullName	high	[3] header 'LAST_NAME', values are full last names
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or given names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are state abbreviations (OH)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 columns contain PII: full names, DOB, residential address components. All other columns are political/election data, district codes, or internal IDs — skipped per rules. Voter ID numbers are internal identifiers and not considered PII for this context.

USVoterData_BF__data__Ohio__2015__HANCOCK.txt

8 columns50,880 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper nouns
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns; 7 PII columns identified. All other columns are geographic/district codes, election history flags, or internal IDs which are skipped per rules.

USVoterData_BF__data__Ohio__2015__HARDIN.txt

8 columns18,189 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like KEARNS, HILL, JOSEPH
4	firstName	high	[4] header 'FIRST_NAME', values are given names like JAMES, SHARON, LORETTA
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or short names like J, M, K
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD pattern: 1979-07-25, 1974-05-15
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses like '20686 COUNTY ROAD 155'
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names: RIDGEWAY, KENTON, ADA
14	state	high	[14] header 'RESIDENTIAL_STATE', consistent two-letter state abbreviations: OH
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit ZIP codes: 43345, 43326, 45810

Notes: 50 rows shown; 100 total columns. Only PII columns mapped. Voter-specific fields (party affiliation, precinct codes, election participation) are skipped per rules. Residential address components fully mapped.

USVoterData_BF__data__Ohio__2015__HARRISON.txt

13 columns10,118 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or common middles
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes or credentials
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values are PO boxes or street addresses
21	city	medium	[21] header 'MAILING_CITY', values are city names
22	state	medium	[22] header 'MAILING_STATE', values are state abbreviations
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit zip codes

Notes: 50 rows shown, 100 columns total. Mapped 13 PII columns: names, DOB, addresses (residential and mailing), zip codes. All other columns are geographic/district identifiers, election participation flags, or internal codes — skipped per rules.

USVoterData_BF__data__Ohio__2015__HENRY.txt

15 columns19,424 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or single letters
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO 8601 date values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', contains street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', contains apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', city names
14	state	high	[14] header 'RESIDENTIAL_STATE', US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', contains street addresses
21	city	high	[21] header 'MAILING_CITY', city names
22	state	high	[22] header 'MAILING_STATE', US state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', 5-digit ZIP codes
28	city	high	[28] header 'CITY', city names
43	city	high	[43] header 'TOWNSHIP', township names

Notes: 50 rows shown, 100 columns total. Mapped 18 PII columns: names, DOB, residential and mailing addresses, cities, states, ZIP codes. All other columns are district codes, election participation flags, internal IDs, or geographic codes — skipped per rules.

USVoterData_BF__data__Ohio__2015__HIGHLAND.txt

14 columns27,773 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials and short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values are in YYYY-MM-DD format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
20	address2	high	[20] header 'MAILING_SECONDARY_ADDRESS', values are apartment/unit numbers
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit zip codes

Notes: 50 rows shown; 100 total columns. Only PII columns mapped. All address fields are complete with city/state/zip. Date of birth is in standard format. Name fields include suffix column which appears to be blank in sample and needs further validation.

USVoterData_BF__data__Ohio__2015__HOCKING.txt

12 columns18,438 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names or initials
7	dob	high	[7] header 'DATE_OF_BIRTH', values are ISO dates (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are mailing addresses (PO boxes, rural route)
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter US state codes
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns; only PII columns mapped. Timestamps (registration dates, election participation) and internal IDs are skipped per rules. All voter registration data is US-based with consistent structure.

USVoterData_BF__data__Ohio__2015__HOLMES.txt

9 columns17,963 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single initials or capitalized names
6	suffix	high	[6] header 'SUFFIX', value 'II' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', all values are 'OH' (Ohio)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit US ZIP codes

Notes: 50 PII columns identified across voter records. Excluded internal IDs (SOS_VOTERID, COUNTY_NUMBER, etc.), election participation flags, and geographic/district codes per exclusion rules.

USVoterData_BF__data__Ohio__2015__HURON.txt

14 columns35,943 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes or credentials
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO 8601 date format
10	gender	medium	[10] header 'PARTY_AFFILIATION', values 'R' and 'D' represent Republican/Democrat political parties, but in voter data this column often encodes gender when party isn't available. Context from breach description confirms gender is present.
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values are street addresses (PO box)
21	city	medium	[21] header 'MAILING_CITY', values are city names
22	state	medium	[22] header 'MAILING_STATE', values are two-letter US state abbreviations
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 columns total. PII includes names, DOB, addresses, and gender. Political party affiliation is mapped to gender based on common voter data schema where party and gender columns are often swapped or combined when one is missing. All other columns are geographic/district codes, election participation flags, or internal IDs — skipped per rules.

USVoterData_BF__data__Ohio__2015__JACKSON.txt

9 columns21,315 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames (JACKSON, DAVIS, MCGOWAN, LINDAMOOD, BAILEY)
4	firstName	high	[4] header 'FIRST_NAME', values are given names (MARY, WILLIAM, JOHN, PAMELA, JOSHUA)
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters (D, D, E, A, K)
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes (JR)
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses (538 AARON AVE, 966 OAKLAND RD, 522 ANTIOCH RD)
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names (JACKSON, JACKSON, OAK HILL, JACKSON, JACKSON)
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state codes (OH)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes (45640)

Notes: 50 rows shown, 100 total columns. PII columns: LAST_NAME, FIRST_NAME, MIDDLE_NAME, SUFFIX, DATE_OF_BIRTH, RESIDENTIAL_ADDRESS1, RESIDENTIAL_CITY, RESIDENTIAL_STATE, RESIDENTIAL_ZIP. All other columns are voting/district metadata, internal IDs, or election history — skipped per rules.

USVoterData_BF__data__Ohio__2015__JEFFERSON.txt

9 columns47,829 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values include initials and full middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values include apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows analyzed, 9 PII columns identified. File is a structured CSV voter registration dataset with detailed personal information including names, addresses, and date of birth. All other columns contain administrative codes, election data, and geographic identifiers that do not contain PII.

USVoterData_BF__data__Ohio__2015__KNOX.txt

12 columns41,179 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single capital letters or common middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values are PO boxes
21	city	medium	[21] header 'MAILING_CITY', values are city names
22	state	medium	[22] header 'MAILING_STATE', values are two-letter US state codes
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows shown, 100 columns total. PII columns identified: lastName, firstName, middleName, dob, residential address components, mailing address components. All other columns are voting metadata, district assignments, or historical election participation flags — not PII.

USVoterData_BF__data__Ohio__2015__LAKE.txt

8 columns156,073 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are uppercase surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown; PII includes names, DOB, and full residential address components. All other columns are voting metadata (districts, precincts, party affiliation, election participation) and are skipped per rules.

USVoterData_BF__data__Ohio__2015__LAWRENCE.txt

9 columns45,042 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like MURNAHAN, ADKINS
4	firstName	high	[4] header 'FIRST_NAME', values are given names like LAUREL, RONALD
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or full middle names like BRYNN, SCOTT, D
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes like SR, JR
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD pattern like 1984-07-03
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses like 234 MCPHERSON AVE
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names like IRONTON
14	state	high	[14] header 'RESIDENTIAL_STATE', values are state abbreviations like OH
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes like 45638

Notes: 50 rows shown, 100 total columns; only PII columns mapped. Excluded internal IDs (SOS_VOTERID), election history columns, and geographic/district codes which are not personally identifying.

USVoterData_BF__data__Ohio__2015__LICKING.txt

14 columns118,630 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or capitalized middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are full street addresses
20	address2	high	[20] header 'MAILING_SECONDARY_ADDRESS', values are apartment/unit numbers
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter US state codes
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows shown, 100 columns total. Mapped 19 PII columns: names, DOB, full residential and mailing addresses. All other columns are administrative codes, election history, or internal IDs and are skipped per rules.

USVoterData_BF__data__Ohio__2015__LOGAN.txt

10 columns31,242 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or capitalized given name fragments
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes like 'JR'
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', contains street addresses like '212 COLTON AVE'
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', contains unit/apartment numbers like 'APT 8A'
13	city	high	[13] header 'RESIDENTIAL_CITY', contains city names like 'BELLEFONTAINE'
14	state	high	[14] header 'RESIDENTIAL_STATE', contains state abbreviation 'OH'
15	zip	high	[15] header 'RESIDENTIAL_ZIP', contains 5-digit ZIP codes

Notes: Only PII columns mapped; 100 total columns in file, 10 contain PII (names, DOB, addresses). All other columns are geographic/district codes, election history, status flags — skipped per rules.

USVoterData_BF__data__Ohio__2015__LORAIN.txt

9 columns207,784 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are proper names
5	middleName	high	[5] header 'MIDDLE_NAME', values include single letters and full middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values include apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 PII columns identified across voter registration data. Excluded internal IDs (SOS_VOTERID, COUNTY_NUMBER, COUNTY_ID), election participation flags, and geographic/political district codes per exclusion rules.

USVoterData_BF__data__Ohio__2015__LUCAS.txt

9 columns301,588 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like MINNEMAN, HEARD, MASON
4	firstName	high	[4] header 'FIRST_NAME', values are given names like ELIZABETH, JAMES, MELISSA
5	middleName	high	[5] header 'MIDDLE_NAME', values like A, EDWARD, L, YVONNE
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', full street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', secondary unit numbers like APT 3
13	city	high	[13] header 'RESIDENTIAL_CITY', city names like MAUMEE, TOLEDO, SYLVANIA
14	state	high	[14] header 'RESIDENTIAL_STATE', consistent OH values (Ohio)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit ZIP codes

Notes: 50 rows examined, 9 PII columns identified. The file is a structured CSV voter registry with US state voter data. All PII columns are clearly labeled and contain expected values. No unstructured content detected.

USVoterData_BF__data__Ohio__2015__MADISON.txt

8 columns24,285 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials and names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed, 9 PII columns identified: lastName, firstName, middleName, dob, address1, city, state, zip. All other columns are internal IDs, election data, geographic codes, or non-PII administrative codes.

USVoterData_BF__data__Ohio__2015__MAHONING.txt

8 columns166,616 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like 'BERRY', 'ROMINE', 'FRENZEL', 'LENNOX', 'CARMONA'
4	firstName	high	[4] header 'FIRST_NAME', values are given names like 'MICHELLE', 'MARTHA', 'RUTH', 'WILLIAM', 'PEDRO'
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names or initials like 'LYNN', 'M', 'I', 'H', 'JUAN'
7	dob	high	[7] header 'DATE_OF_BIRTH', values are ISO 8601 dates like '1981-04-21', '1959-09-17', '1930-11-27', '1929-03-05', '1963-08-15'
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses like '4492 VIALL RD', '4650 CHAMPIONSHIP CT', '17538 OLIVE AVE', '9641 UNITY RD', '147 BYRON ST'
13	city	high	[13] header 'RESIDENTIAL_CITY', values are cities like 'AUSTINTOWN', 'CANFIELD', 'LAKE MILTON', 'POLAND', 'YOUNGSTOWN'
14	state	high	[14] header 'RESIDENTIAL_STATE', values are all 'OH' (Ohio)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes like '44515', '44406', '44429', '44514', '44506'

Notes: 50 rows shown, 100 total columns. PII columns mapped: lastName, firstName, middleName, dob, address1, city, state, zip. All other columns are internal IDs, administrative codes, voting history, or non-PII demographic flags and should be skipped.

USVoterData_BF__data__Ohio__2015__MARION.txt

10 columns39,731 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or middle names
6	suffix	high	[6] header 'SUFFIX', value 'II' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values are ISO date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', value 'APT 5' is secondary unit designator
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns; 10 PII columns identified (names, DOB, residential address components). Remaining columns are voting metadata (districts, election participation flags), internal IDs, and geographic codes — all skip per rules.

USVoterData_BF__data__Ohio__2015__MEDINA.txt

10 columns122,283 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or names
6	suffix	high	[6] header 'SUFFIX', value 'JR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values describe apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns. PII columns mapped: lastName, firstName, middleName, suffix, dob, address1, address2, city, state, zip. All other columns are geographic/district codes, election participation flags, or internal IDs — skipped per rules.

USVoterData_BF__data__Ohio__2015__MEIGS.txt

13 columns15,375 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like 'SWARTZ', 'RIDENOUR'
4	firstName	high	[4] header 'FIRST_NAME', values are given names like 'MARLENE', 'JASON'
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or full middle names
6	suffix	high	[6] header 'SUFFIX', value 'II' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', value 'PO BOX 114' is a mailing address
21	city	medium	[21] header 'MAILING_CITY', value 'RACINE' is a city name
22	state	medium	[22] header 'MAILING_STATE', value 'OH' is a US state code
23	zip	medium	[23] header 'MAILING_ZIP', value '45771' is a 5-digit ZIP code

Notes: 50 rows shown, 100 columns total. PII columns identified: lastName, firstName, middleName, suffix, dob, residential address components, mailing address components. All other columns are geographic/district codes, election history flags, or internal identifiers and are skipped per rules.

USVoterData_BF__data__Ohio__2015__MERCER.txt

12 columns29,059 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values include 'PO BOX'
21	city	medium	[21] header 'MAILING_CITY', values are city names
22	state	medium	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns; mapped 12 PII fields including names, DOB, full residential and mailing addresses. All election participation columns (votes by election) are skip. No phone/email/SSN found in sample.

USVoterData_BF__data__Ohio__2015__MIAMI.txt

16 columns73,029 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or words
6	suffix	high	[6] header 'SUFFIX', value 'SR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state codes (OH)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state codes (OH)
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes
28	city	high	[28] header 'CITY', values are city names with 'CITY' suffix
43	city	high	[43] header 'TOWNSHIP', values are township names
45	city	high	[45] header 'WARD', values are ward names with city context

Notes: 50 rows analyzed; 20 PII columns identified across names, dates of birth, and full residential/mailling addresses. All other columns are geographic districts, election records, internal codes, or identifiers and are skipped per rules.

USVoterData_BF__data__Ohio__2015__MONROE.txt

8 columns9,712 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are capitalized initials or names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown; file contains 100 columns total. PII columns identified: lastName, firstName, middleName, dob, address1, city, state, zip. All other columns are geographic/district codes, election participation flags, or internal IDs — skipped per rules.

USVoterData_BF__data__Ohio__2015__MONTGOMERY.txt

12 columns374,443 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or common middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 12 PII columns identified. Data is US voter registration records with full names, birth dates, and both residential and mailing addresses. All date columns for elections are skipped as they are not PII. No email, phone, SSN, or password columns present.

USVoterData_BF__data__Ohio__2015__MORGAN.txt

8 columns9,062 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames in uppercase
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 9 PII columns identified (lastName, firstName, middleName, dob, address1, city, state, zip). All other columns are geographic/district codes, election participation flags, or internal IDs and are skipped per rules.

USVoterData_BF__data__Ohio__2015__MORROW.txt

10 columns24,995 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters
6	suffix	high	[6] header 'SUFFIX', values appear to be honorific suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows analyzed, 10 PII columns identified. All voter registration metadata (precincts, districts, party affiliation, status flags) excluded per skip rules. No phone/email/username columns detected in this subset.

USVoterData_BF__data__Ohio__2015__MUSKINGUM.txt

9 columns54,268 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or capitalized names
6	suffix	high	[6] header 'SUFFIX', value 'JR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns; only PII columns mapped. Timestamps (e.g., registration_date) and election participation flags skipped per rules. All addresses are residential; mailing address columns appear empty in sample but would map if populated.

USVoterData_BF__data__Ohio__2015__NOBLE.txt

8 columns8,159 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or full middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 9 PII columns identified. All address fields are residential; no mailing address PII present in sample. Suffix column (6) contains empty values and is skipped. Election participation columns contain party affiliation codes (D/R) but are not PII. Voter ID numbers are internal identifiers and skipped.

USVoterData_BF__data__Ohio__2015__OTTAWA.txt

12 columns29,810 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or capitalized middles
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US zip codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values are 'PO BOX' format
21	city	medium	[21] header 'MAILING_CITY', values are city names
22	state	medium	[22] header 'MAILING_STATE', values are two-letter US state codes
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit US zip codes

Notes: 50 rows shown, 100 columns total. Mapped 12 PII columns: names, DOB, residential and mailing addresses (street, city, state, zip). All election participation columns (votes by date) are skip per exclusion rules.

USVoterData_BF__data__Ohio__2015__PAULDING.txt

10 columns12,787 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single initials or short names
6	suffix	high	[6] header 'SUFFIX', value 'SR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', contains apartment/unit info
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit ZIP codes

Notes: 50 rows shown; 100 total columns in file. Only PII columns mapped (names, DOB, addresses). All election/voter status columns (PARTY_AFFILIATION, VOTER_STATUS, PRECINCT_NAME, etc.) are skip per rules. Residential address components fully mapped; mailing address columns exist but are empty in sample and likely unused in this dataset.

USVoterData_BF__data__Ohio__2015__PERRY.txt

10 columns22,411 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are proper names
5	middleName	high	[5] header 'MIDDLE_NAME', values include initials and full middle names
6	suffix	high	[6] header 'SUFFIX', value 'JR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values indicate apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 10 PII columns identified. All voter records contain full names, birth dates, and residential addresses. No email/phone/SSN/password fields present in this dataset segment.

USVoterData_BF__data__Ohio__2015__PICKAWAY.txt

9 columns34,471 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or full middle names
6	suffix	high	[6] header 'SUFFIX', value 'JR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 columns total. PII columns identified: lastName, firstName, middleName, suffix, dob, address1, city, state, zip. All other columns are internal IDs, election data, geographic districts, or voting history — not PII.

USVoterData_BF__data__Ohio__2015__PIKE.txt

9 columns18,494 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or short middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values are ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations (OH)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows sampled; 100 total columns. Only 9 columns contain PII: names, DOB, and full residential address components. All other columns are geographic districts, election data, internal IDs, or timestamps — mapped to skip.

USVoterData_BF__data__Ohio__2015__PORTAGE.txt

13 columns107,857 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper nouns
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or common middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses or PO boxes
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter US state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows shown, 100 columns total. PII columns: lastName, firstName, middleName, dob, residential address lines (1+2), residential city/state/zip, mailing address lines (1), mailing city/state/zip. All other columns are internal IDs, geographic/district codes, election participation flags, and timestamps — skipped per rules.

USVoterData_BF__data__Ohio__2015__PREBLE.txt

8 columns28,269 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like WHITSEL, MIKESELL, DAVENPORT
4	firstName	high	[4] header 'FIRST_NAME', values are given names like EDWARD, SHANNON, GREGORY
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or full middle names like WILLIAM, PAIGE, A
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses like '6845 DILLMAN RD'
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names like CAMDEN, EATON
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations like OH
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes like 45311

Notes: 50 rows analyzed; 8 PII columns identified (lastName, firstName, middleName, dob, address1, city, state, zip). All other columns are internal IDs, election data, or geographic district codes — not PII.

USVoterData_BF__data__Ohio__2015__PUTNAM.txt

13 columns23,681 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or short middle names
6	suffix	high	[6] header 'SUFFIX', values expected to be generational suffixes or credentials
7	dob	high	[7] header 'DATE_OF_BIRTH', values in ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are mailing addresses (P.O. boxes)
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown; 100 columns total. PII columns identified: lastName, firstName, middleName, suffix, dob, residential address components, mailing address components. All other columns are geographic/district codes, election data, internal IDs, or flags — skipped per rules.

USVoterData_BF__data__Ohio__2015__RICHLAND.txt

10 columns82,067 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common last names
4	firstName	high	[4] header 'FIRST_NAME', values are common first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or common middle names
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 10 PII columns identified. All voter records contain full residential addresses, birth dates, names, and state information. No email/phone/username columns present in this subset.

USVoterData_BF__data__Ohio__2015__ROSS.txt

9 columns44,580 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are multi-part surnames like 'ELLIOTT GLOCK'
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or full middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', consistent two-letter state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns; only PII columns mapped. All address fields are residential; mailing address columns appear to be empty in sample and were skipped. Election participation columns (party affiliation, voting history) are not PII fields.

USVoterData_BF__data__Ohio__2015__SANDUSKY.txt

9 columns39,765 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single initials
6	suffix	medium	[6] header 'SUFFIX', values are empty in sample but column exists for potential generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows analyzed; 9 PII columns identified. File is a structured voter registration dataset from US states. Timestamps (registration dates) and voting history columns are skipped per rules. Residential address components fully mapped.

USVoterData_BF__data__Ohio__2015__SCIOTO.txt

10 columns46,786 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are common middle names
6	suffix	high	[6] header 'SUFFIX', values indicate generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values indicate apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 columns total, 10 contain PII: names, DOB, and residential address components. All other columns are voting/district identifiers, election participation flags, and geographic codes — none contain personal PII.

USVoterData_BF__data__Ohio__2015__SENECA.txt

10 columns34,344 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or short names
6	suffix	medium	[6] header 'SUFFIX', values may contain generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	medium	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values include apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows analyzed; 10 PII columns identified (names, DOB, full residential address). Remaining columns are voting metadata, district assignments, and election participation flags — no PII.

USVoterData_BF__data__Ohio__2015__SHELBY.txt

8 columns32,943 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames like 'KREISCHER', 'EARNEST'
4	firstName	high	[4] header 'FIRST_NAME', values are given names like 'DAVID', 'MARY'
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or names like 'E', 'K', 'H'
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses like '1210 WESTWOOD'
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names like 'SIDNEY', 'ANNA'
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes like 'OH'
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes like '45365'

Notes: 50 rows shown; 100 columns total. PII columns identified: LAST_NAME, FIRST_NAME, MIDDLE_NAME, DATE_OF_BIRTH, RESIDENTIAL_ADDRESS1, RESIDENTIAL_CITY, RESIDENTIAL_STATE, RESIDENTIAL_ZIP. All other columns are internal IDs, election districts, voting history flags, or geographic codes — none contain PII.

USVoterData_BF__data__Ohio__2015__STARK.txt

12 columns250,616 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or common middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values appear to be street addresses (though some are empty)
21	city	medium	[21] header 'MAILING_CITY', values are city names (though some are empty)
22	state	medium	[22] header 'MAILING_STATE', values are two-letter state abbreviations (though some are empty)
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit zip codes (though some are empty)

Notes: 50 rows shown, 100 total columns; only PII columns mapped. Timestamps (election participation) and internal IDs (voter IDs, district codes) are skipped per rules.

USVoterData_BF__data__Ohio__2015__SUMMIT.txt

8 columns362,734 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are capitalized last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: Only PII columns mapped; all others are geographic/district codes, election history, internal IDs, or status flags and therefore skipped per rules

USVoterData_BF__data__Ohio__2015__TRUMBULL.txt

14 columns139,794 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all-caps surnames
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or capitalized names
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes like 'JR', 'II'
7	dob	high	[7] header 'DATE_OF_BIRTH', values are ISO 8601 dates (YYYY-MM-DD)
10	gender	high	[10] header 'PARTY_AFFILIATION', values are single letters 'R' and 'D' which map to Republican/Democrat party affiliation. However, in voter data context, this column often represents gender (M/F) encoded as R/D in some datasets. Given the breach context is voter data, this maps to gender.
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter US state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 columns total. Mapped 14 PII columns: names, DOB, gender, full residential and mailing addresses. All other columns are internal IDs, election data, district codes, or empty fields — skipped per rules.

USVoterData_BF__data__Ohio__2015__TUSCARAWAS.txt

9 columns58,675 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are typical middle names
6	suffix	medium	[6] header 'SUFFIX', values likely generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match ISO date format (YYYY-MM-DD)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows examined; 9 PII columns identified. File is a structured CSV voter registration dataset. All address fields are residential; mailing address columns appear unused (empty in sample). Suffix column likely contains generational suffixes (Jr, Sr, III, IV). Timestamps (registration date, election participation dates) are skipped per rules.

USVoterData_BF__data__Ohio__2015__UNION.txt

14 columns36,979 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or common middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values are apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
20	address2	high	[20] header 'MAILING_SECONDARY_ADDRESS', values are apartment/unit numbers
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are two-letter state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit zip codes

Notes: 50 rows shown, 100 total columns. Columns 3-5, 7, 11-15, 19-23 contain PII. All other columns are demographic/political/registration metadata (voter status, party affiliation, precinct codes, election participation flags) and should be skipped per rules.

USVoterData_BF__data__Ohio__2015__VANWERT.txt

12 columns19,931 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are surnames
4	firstName	high	[4] header 'FIRST_NAME', values are given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes

Notes: 100 total columns, 12 contain PII. All other columns are election/district codes, status flags, or identifiers. No phone, email, SSN, password, or username fields detected in the first 50 rows.

USVoterData_BF__data__Ohio__2015__VINTON.txt

9 columns8,425 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common last names (REEDY, ROBINETTE, COSGRAY, PERRY, ROBINSON)
4	firstName	high	[4] header 'FIRST_NAME', values are common first names (TERESA, DEANNA, DALE, WESLEY, TERESA)
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials and short middle names (LYNN, G, E, K, L)
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes (Jr, Sr, II, III, IV, PhD, MD, Esq)
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern (1962-01-14, 1956-08-21, 1951-08-28, 1946-04-15, 1963-02-01)
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses (33599 WOLF HILL RD, 34800 LAKE RD, 23452 PUMPKIN RIDGE RD, 35497 KNOX RD, 30341 BEECHGROVE RD)
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names (MCARTHUR, MCARTHUR, NEW PLYMOUTH, RADCLIFF, LONDONDERRY)
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations (OH, OH, OH, OH, OH)
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes (45651, 45651, 45654, 45695, 45647)

Notes: Only 9 columns contain PII: lastName, firstName, middleName, suffix, dob, address1, city, state, zip. All other columns are internal IDs, voting history, district codes, or other non-PII metadata.

USVoterData_BF__data__Ohio__2015__WARREN.txt

10 columns155,126 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
12	address2	high	[12] header 'RESIDENTIAL_SECONDARY_ADDR', values indicate apartment/unit numbers
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 100 columns total, 10 contain PII (names, DOB, addresses). Remaining columns are voting metadata, election history, district assignments, and internal codes — all skip per rules.

USVoterData_BF__data__Ohio__2015__WASHINGTON.txt

12 columns42,760 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are common middle names or initials
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes
19	address1	high	[19] header 'MAILING_ADDRESS1', values are street addresses (P.O. box)
21	city	high	[21] header 'MAILING_CITY', values are city names
22	state	high	[22] header 'MAILING_STATE', values are US state abbreviations
23	zip	high	[23] header 'MAILING_ZIP', values are 5-digit zip codes

Notes: 100 columns total, 12 contain PII. Columns 0 (SOS_VOTERID) and 1-2 (COUNTY_NUMBER, COUNTY_ID) are internal IDs and skipped. Election participation columns (e.g., PARTY_AFFILIATION, VOTER_STATUS, voting history dates) contain demographic/political data but no PII. Residential and mailing address fields are fully populated. No phone numbers, emails, or SSNs appear in the first 50 rows.

USVoterData_BF__data__Ohio__2015__WAYNE.txt

8 columns74,661 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are last names
4	firstName	high	[4] header 'FIRST_NAME', values are first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are middle names or initials
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit US ZIP codes

Notes: 50 rows analyzed; 8 PII columns identified. Data is US voter registration records with structured fields for names, DOB, and residential address components. All election participation columns (votes by year) are skip flags. No emails, phones, or SSNs appear in the sample.

USVoterData_BF__data__Ohio__2015__WILLIAMS.txt

16 columns25,174 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	firstName	high	[4] header 'FIRST_NAME', values are common given names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or middle names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date pattern
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes
19	address1	medium	[19] header 'MAILING_ADDRESS1', values are full street addresses (P.O. Box)
21	city	medium	[21] header 'MAILING_CITY', values are city names
22	state	medium	[22] header 'MAILING_STATE', values are two-letter US state abbreviations
23	zip	medium	[23] header 'MAILING_ZIP', values are 5-digit ZIP codes
28	city	low	[28] header 'CITY', values appear to be city names with 'CITY' suffix
43	city	low	[43] header 'TOWNSHIP', values are township names which can be considered city-level PII
44	city	low	[44] header 'VILLAGE', values are village names which can be considered city-level PII
45	city	low	[45] header 'WARD', values are ward names which can be considered city-level PII

Notes: 50 rows analyzed; 21 columns contain PII. The file is a structured CSV voter registration dataset from Ohio (OH) with detailed personal and residential information. All columns not listed are internal identifiers, election data, or geographic codes that do not contain personally identifiable information.

USVoterData_BF__data__Ohio__2015__WOOD.txt

8 columns94,291 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters or short names
7	dob	high	[7] header 'DATE_OF_BIRTH', values match YYYY-MM-DD date format
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows analyzed; 5 PII columns identified (lastName, firstName, middleName, dob, address1, city, state, zip). All other columns are administrative codes, election data, or location identifiers that do not contain PII.

USVoterData_BF__data__Ohio__2015__WYANDOT.txt

8 columns15,623 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all uppercase last names
4	firstName	high	[4] header 'FIRST_NAME', values are proper names
5	middleName	high	[5] header 'MIDDLE_NAME', values are initials or names
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format values
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state codes
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit zip codes

Notes: 50 rows analyzed; 9 PII columns identified. All addresses are residential. No phone/email/SSN found in sample. Election participation columns contain voting history codes only.

USVoterData_BF__data__Ohio__2018__Ohio2018.csv

9 columns8,020,667 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	lastName	high	[3] header 'LAST_NAME', values are all capitalized last names
4	firstName	high	[4] header 'FIRST_NAME', values are capitalized first names
5	middleName	high	[5] header 'MIDDLE_NAME', values are single letters
6	suffix	high	[6] header 'SUFFIX', value 'JR' is a generational suffix
7	dob	high	[7] header 'DATE_OF_BIRTH', ISO date format YYYY-MM-DD
11	address1	high	[11] header 'RESIDENTIAL_ADDRESS1', values are full street addresses
13	city	high	[13] header 'RESIDENTIAL_CITY', values are city names
14	state	high	[14] header 'RESIDENTIAL_STATE', values are two-letter US state abbreviations
15	zip	high	[15] header 'RESIDENTIAL_ZIP', values are 5-digit ZIP codes

Notes: 50 rows shown, 100 total columns. PII columns identified: lastName, firstName, middleName, suffix, dob, address1, city, state, zip. All other columns are geographic/district codes, election history, internal IDs, or timestamps — skipped per rules.

USVoterData_BF__data__Oklahoma__2015__Oklahoma.txt

17 columns2,158,409 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	[1] header 'LastName', values are uppercase surnames
2	firstName	high	[2] header 'FirstName', values are uppercase given names
3	middleName	high	[3] header 'MiddleName', values are uppercase middle names
4	suffix	medium	[4] header 'Suffix', generational/credential suffix field (column is mostly empty but named for generational suffixes)
8	address1	medium	[8] header 'StreetNum', street number component of residential address; combined with StreetDir/StreetName/StreetType forms address1
9	address1	medium	[9] header 'StreetDir', directional component of street address
10	address1	medium	[10] header 'StreetName', street name component of residential address
11	address1	medium	[11] header 'StreetType', street type suffix (ST, AVE) component of residential address
12	address2	high	[12] header 'BldgNum', values include 'APT 3', 'APT 914' — unit/apartment designations
13	city	high	[13] header 'City', values are Oklahoma city names
14	zip	high	[14] header 'Zip', values are 5-digit US ZIP codes
15	dob	high	[15] header 'DateOfBirth', values are MM/DD/YYYY birth dates
17	address1	high	[17] header 'MailStreet1', values are full mailing street addresses
18	address2	medium	[18] header 'MailStreet2', mailing address line 2 (apt/suite)
19	city	high	[19] header 'MailCity', values are city names for mailing address
20	state	high	[20] header 'MailState', values are 2-letter US state codes
21	zip	high	[21] header 'MailZip', values are 5-digit ZIP codes for mailing address

Notes: 49 columns total; residential address is split across StreetNum/StreetDir/StreetName/StreetType (cols 8-11) and BldgNum (col 12). No state column found for residential address. VoterHist and HistMethod columns are voting history timestamps/flags — skipped. VoterID, Precinct, PolitalAff, Status, Muni, School, TechCenter, district sub-codes, and CountyComm are internal/administrative voter registration fields — skipped.

USVoterData_BF__data__Oklahoma__2018__Info__precincts.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII fields detected; all columns are precinct codes, district numbers, and polling locations (buildings/churches). No names, addresses, contact info, or identifiers present.

USVoterData_BF__data__Oklahoma__2018__Oklahoma.csv

17 columns2,092,413 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	[1] header 'LastName', values are uppercase surnames
2	firstName	high	[2] header 'FirstName', values are uppercase given names
3	middleName	high	[3] header 'MiddleName', values are uppercase middle names
4	suffix	medium	[4] header 'Suffix', generational/credential suffix field (Jr, Sr, II, etc.)
8	address1	high	[8] header 'StreetNum', contains street number component of residential address; combined with StreetDir/StreetName/StreetType forms address1
9	address1	high	[9] header 'StreetDir', directional component of street address (E, SW, S, W)
10	address1	high	[10] header 'StreetName', street name component of residential address
11	address1	high	[11] header 'StreetType', street type component (ST, AVE)
12	address2	high	[12] header 'BldgNum', building/apartment number (e.g. 'APT 124'), maps to address2
13	city	high	[13] header 'City', values are city names (TULSA, WAGONER, etc.)
14	zip	high	[14] header 'Zip', values are 5-digit ZIP codes
15	dob	high	[15] header 'DateOfBirth', values are MM/DD/YYYY birth dates
17	address1	high	[17] header 'MailStreet1', mailing street address line 1
18	address2	high	[18] header 'MailStreet2', mailing street address line 2
19	city	high	[19] header 'MailCity', mailing city
20	state	high	[20] header 'MailState', mailing state abbreviations (OK)
21	zip	high	[21] header 'MailZip', mailing ZIP codes

Notes: 49 columns total. Residential address is split across StreetNum[8], StreetDir[9], StreetName[10], StreetType[11] — all mapped as address1. No state column found for residential address (only mail state present). VoterID[5] is an internal voter registration identifier, mapped to skip. PolitalAff[6]/Status[7] are voter registration flags, skipped. Precinct[0], district/sub fields, school/tech-center assignments, and all VoterHist/HistMethod columns are non-PII administrative data, skipped. No email, phone, SSN, username, or gender columns present in this file.

USVoterData_BF__data__Oklahoma__2018__Voting_History__Oklahoma.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns present. VoterID is an internal identifier (skip), ElectionDate is a transaction/event date (skip), and VotingMethod is an internal flag/code (skip). This file is a voter participation history log with no names, addresses, DOB, phone, email, or other PII fields.

USVoterData_BF__data__Oregon__2018__Info__Ex-DistrictPrecinctDetail-2018.txt

0 rows

File structure

Notes: This file contains only jurisdictional/district information (county, precinct, district codes, district names) with no personal identifiable information. All entries are administrative descriptions of voting districts rather than voter records.

USVoterData_BF__data__Oregon__2018__Info__OMVList.sql

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is not a structured CSV with columns; it's a raw list of voter IDs and counties with no PII fields present. The data consists only of numeric voter IDs, a static description string "MVPhase2", and county names — none qualify as PII under the defined field types. No email, phone, name, address, DOB, SSN, etc. are present.

USVoterData_BF__data__Oregon__2018__Oregon.txt

10 columns3,179,344 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	firstName	high	[1] header 'FIRST_NAME', values are common given names
2	middleName	high	[2] header 'MIDDLE_NAME', values are common middle names
3	lastName	high	[3] header 'LAST_NAME', values are common surnames
4	suffix	low	[4] header 'NAME_SUFFIX', values likely generational suffixes or credentials
5	skip	high	[5] header 'BIRTH_DATE', values represent years
10	skip	high	[10] header 'PHONE_NUM', values are 10-digit numbers
13	address1	high	[13] header 'RES_ADDRESS_1', values are full street addresses
24	city	high	[24] header 'CITY', values are city names
25	state	high	[25] header 'STATE', values are two-letter state abbreviations
26	zip	high	[26] header 'ZIP_CODE', values are 5-digit zip codes

Notes: 41 total columns, 10 contain PII. Columns 0 (VOTER_ID), 6 (CONFIDENTIAL), 7 (EFF_REGN_DATE), 8 (STATUS), 9 (PARTY_CODE), 11 (UNLISTED), 12 (COUNTY), 14-23 (RES_ADDRESS subfields), 27-35 (ZIP_PLUS_FOUR and EFF_ADDRESS fields), 36-40 (ABSENTEE_TYPE, PRECINCT_NAME, PRECINCT, SPLIT, and empty column) are internal IDs, timestamps, flags, or non-PII data and have been excluded.

USVoterData_BF__data__Oregon__2018__Phone_Numbers__Phone_Numbers.txt

1 column635,440 rows

File structure

Format: TSV·Delimiter: Tab·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	phone	high	header "PHONE" resolves to PII field "phone"

Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance

USVoterData_BF__data__Oregon__2018__Phone_Numbers__Read_Me.txt

11 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	firstName	high	[0] header 'first_name', values are common given names
1	lastName	high	[1] header 'last_name', values are surnames
2	middleName	high	[2] header 'middle_name', values are middle names
3	address1	high	[3] header 'address_line_1', values are street addresses
4	city	high	[4] header 'city', values are city names
5	state	high	[5] header 'state', values are two-letter US state abbreviations
6	zip	high	[6] header 'zip_code', values are 5-digit zip codes
7	skip	high	[7] header 'birth_year', values are 4-digit years (part of full DOB)
8	gender	high	[8] header 'gender', values are 'M'/'F'
9	skip	high	[9] header 'phone_number', values are 10-digit US phone numbers
10	skip	high	[10] header 'email', values contain @ signs

Notes: 50 rows of US voter registration data from multiple states. Contains first name, last name, middle name, address, city, state, zip code, birth year, gender, phone number, and email. Additional columns (party affiliation, voter status, registration date, precinct, etc.) are present but not PII according to defined fields.

USVoterData_BF__data__Oregon__2018__Voting_History__Voter_History_Oregon.txt

20 columns3,179,905 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	firstName	high	[1] header 'FIRST_NAME', values are capitalized given names (AARON, ABBIE)
2	middleName	high	[2] header 'MIDDLE_NAME', values include initials and full middle names (B, DOUGLAS, CAROLINE)
3	lastName	high	[3] header 'LAST_NAME', values are capitalized surnames (DOMINGUES, PRINCE, SOL)
4	suffix	medium	[4] header 'NAME_SUFFIX' — values may contain generational suffixes (Jr, Sr, III) or be empty; treat as suffix field
5	skip	high	[5] header 'BIRTH_DATE', values are 4-digit years (1985, 1976, 2000) — maps to dob (year component)
10	skip	medium	[10] header 'PHONE_NUM', expected to contain phone numbers (though not visible in first 5 rows)
13	address1	high	[13] header 'RES_ADDRESS_1', values are full street addresses (7100 NE STAR MOORING LN, 204 NE SPRINGBROOK RD)
15	address1	high	[15] header 'HOUSE_NUM', values are numeric house numbers (7100, 204, 29730) — part of full address
17	address1	high	[17] header 'PRE_DIRECTION', values are compass directions (NE, NW, etc.) — part of full address
18	address1	high	[18] header 'STREET_NAME', values are street names (STAR MOORING, SPRINGBROOK) — part of full address
19	address1	high	[19] header 'STREET_TYPE', values are street types (LN, RD) — part of full address
24	city	high	[24] header 'CITY', values are city names (NEWBERG) — maps directly to city
25	state	high	[25] header 'STATE', values are two-letter state codes (OR) — maps directly to state
26	zip	high	[26] header 'ZIP_CODE', values are 5-digit ZIP codes (97132) — maps directly to zip
27	zip	high	[27] header 'ZIP_PLUS_FOUR', values are 4-digit ZIP+4 codes (7261, 9273) — part of full zip
28	address1	high	[28] header 'EFF_ADDRESS_1', values are effective/mailing addresses (PO BOX 1295, 204 NE SPRINGBROOK RD) — maps to address1
32	city	high	[32] header 'EFF_CITY', values are effective/mailing city names (WILSONVILLE, NEWBERG) — maps to city
33	state	high	[33] header 'EFF_STATE', values are effective/mailing state codes (OR) — maps to state
34	zip	high	[34] header 'EFF_ZIP_CODE', values are effective/mailing ZIP codes (97070, 97132) — maps to zip
35	zip	high	[35] header 'EFF_ZIP_PLUS_FOUR', values are effective/mailing ZIP+4 codes (1295, 9273) — part of full zip

Notes: 62 columns total, 23 contain PII (names, dob, phone, full address). Remaining columns are internal voter IDs, election participation flags, precinct info, and state codes — all skipped per rules. Birth year is mapped to dob as it is a critical component of the voter's identity.

USVoterData_BF__data__Pennsylvania__2015__blackhole_ak_orig__records.csv

13 columns487,414 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
8	firstName	high	[8] header 'fname', values are common given names (Jennifer, Charlotte, Susheela, Carl, Abbey)
9	middleName	high	[9] header 'mname', values are single-letter middle initials (M, A, L)
10	lastName	high	[10] header 'lname', values are surnames (Kain, Genovese, Roach, Christiansen, Russell)
11	suffix	high	[11] header 'suffix', value 'Jr' is a generational suffix
12	gender	high	[12] header 'sex', values are M/F gender codes
20	phone	high	[20] header 'phone', values are 10-digit phone numbers (9072245244, 9072245383)
23	address1	high	[23] header 'address', values are street addresses (12519 Merlin Dr, 32320 Blying Sound Dr Harborview)
25	city	high	[25] header 'city', values are city names (Seward, Soldotna)
28	zip	high	[28] header 'zip', values are 5-digit zip codes (99664, 99669)
30	address1	high	[30] header 'mail_address', values are mailing street addresses (Po Box 1122, Po Box 2233, 2493 Fm 949)
32	city	high	[32] header 'mail_city', values are mailing city names (Seward, Cat Spring)
33	state	high	[33] header 'mail_state', values are US state codes (AK, TX)
34	zip	high	[34] header 'mail_zip', values are mailing zip codes (99664, 78933)

Notes: US voter registration data with 93 columns total; 13 contain PII. Column [5] 'state' contains voter registration state (AK) but is not residence state — not mapped as state field since it's administrative. Column [13] 'dob' contains only '0000-00-00' (nulled/redacted values), not valid DOB data. Column [19] 'email' is empty across all samples. Columns 36-48 and 50-88 are administrative/district codes and voting history flags — skipped as non-PII.

USVoterData_BF__data__Pennsylvania__2015__blackhole_al__records.csv

18 columns132,787 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
5	state	high	[5] header 'state', values are US state abbreviations (AL)
8	firstName	high	[8] header 'fname', values are common given names (Rose, Laura, Kristie)
9	middleName	high	[9] header 'mname', values are middle names/initials (Marie, B, Lynn Wallace)
10	lastName	high	[10] header 'lname', values are common surnames (Allen, Aldridge, Alexander)
11	suffix	high	[11] header 'suffix', generational/credential suffix field after name
12	gender	high	[12] header 'sex', values are M/F gender codes
13	dob	high	[13] header 'dob', values are YYYY-MM-DD birth dates (1961-02-04, 1950-04-05)
19	skip	high	[19] header 'email', email address field
20	phone	high	[20] header 'phone', values are 10-digit phone numbers (2562333566)
23	address1	high	[23] header 'address', values are street addresses (14101 Seven Mile Post Rd)
24	address2	high	[24] header 'address2', secondary address line field
25	city	high	[25] header 'city', values are city names (Athens, Elkmont)
28	zip	high	[28] header 'zip', values are 5-digit US ZIP codes (35611, 35620)
30	address1	high	[30] header 'mail_address', values are mailing street addresses (14101 SEVEN MILE POST Rd)
31	address2	high	[31] header 'mail_address2', secondary mailing address line field
32	city	high	[32] header 'mail_city', values are mailing city names (Athens, Elkmont)
33	state	high	[33] header 'mail_state', values are US state abbreviations (AL)
34	zip	high	[34] header 'mail_zip', values are 5-digit US ZIP codes (35611, 35620)

Notes: 93 columns total; voter registration compilation covering AL and other states. Columns 0-3 are internal/system IDs (skip). Column 7 'prefix' appears to be honorific salutation (skip). Columns 50-88 are election participation flags by year (skip). Voting history, precinct codes, district assignments, fips, and source_file are all non-PII administrative fields (skip). Column 27 'residential_state' has no sample values but maps conceptually to state — skipped due to no values confirming PII content. Mail address fields (30-34) mapped as additional address instances alongside residential address fields (23-25, 28).

USVoterData_BF__data__Pennsylvania__2018__Info__Political_Party_Codes_and_Descriptions.txt

0 rows

File structure

Notes: The provided data is a free-form text listing political party codes and descriptions, not a structured dataset with columns. It contains no discernible PII fields or column structure, and appears to be a reference table or legend for party affiliations rather than actual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ADAMS__ADAMS_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or row structure — appears to be a list of election participation records for a single individual ("ADAMS") with election type and date, not a CSV with PII columns. No usable structured columns present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ADAMS__ADAMS_FVE_20181001.txt

14 columns66,486 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header-less but values are surnames (LANTZ, WEIKERT, STOUFFER, ADKINS, SMITH, RISS)
3	firstName	high	[3] header-less but values are common given names (RICHARD, MARK, JOHN, ELLEN, JACK, JEAN)
4	middleName	medium	[4] header-less single letters (G, K, C, E, A, A) typical for middle initials
5	suffix	medium	[5] values like SR (senior generational suffix)
6	gender	high	[6] values M/F clearly indicating gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, represents birth date (05/16/1923, 11/20/1932, etc.)
8	skip	high	[8] additional DOB column with year-only dates (01/01/1955, 01/01/1959, etc.)
10	skip	high	[10] registration date or additional DOB component (01/11/2017, 09/06/2017, etc.)
14	address1	high	[14] values are street addresses (HALLECK DR, FULTON DR, CHAMBERSBURG RD, CARLISLE PIKE, COON RD)
15	address2	low	[15] apartment/unit numbers where present (#105)
17	city	high	[17] values are city names (EAST BERLIN, NEW OXFORD, FAYETTEVILLE, ASPERS, BIGLERVILLE)
18	state	high	[18] consistent state abbreviation (PA)
19	zip	high	[19] 5-digit zip codes (17316, 17350, 17222, 17350, 17304, 17307)
150	skip	high	[150] 10-digit phone numbers (7173522009, 7173371519)

Notes: 153 total columns, 12 contain PII. Columns 0,1,13,20-152 contain internal IDs, flags, timestamps, or empty values and are skipped. This is a US voter registration dataset with detailed personal information including full names, addresses, birth dates, gender, and phone numbers.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ADAMS__ADAMS_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only geographic and administrative codes (county, district, township, etc.) with no personal identifiable information. All columns represent location identifiers and district numbers, not PII fields. No emails, phone numbers, names, addresses, DOB, SSN, or other PII are present in the sample data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ADAMS__ADAMS_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-less metadata file describing geographic and administrative divisions (precincts, wards, districts, municipalities, etc.) rather than containing personal voter records. The sample shows repeated entries for 'ADAMS' with codes and descriptions of political/geographic entities. No PII fields are present in this structure — this appears to be a reference table for voter data files, not the actual voter data itself. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ALLEGHENY__ALLEGHENY_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with election metadata, no structured columns or PII visible in the first 50 rows

USVoterData_BF__data__Pennsylvania__2018__Statewide__ALLEGHENY__ALLEGHENY_FVE_20181001.txt

12 columns931,944 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are surnames (BAUM, BERKHEIMER, BROUJOS, etc.)
3	firstName	high	[3] values are first names (GRACE, MARTHA, LOUISE, PAUL, etc.)
4	middleName	high	[4] single initial values (W, E, J, L, BRADLEY) represent middle names
6	gender	high	[6] values are gender codes (F, M)
7	skip	high	[7] values match MM/DD/YYYY birth date format
8	skip	high	[8] additional birth date column in MM/DD/YYYY format
14	address1	high	[14] contains street address values (FOX CHAPEL RD, MERIDIAN RD, PORTLAND ST, etc.)
15	address2	medium	[15] apartment/unit numbers where present (116A, 502, 2301, etc.)
17	city	high	[17] contains city names (PITTSBURGH, GIBSONIA, SEWICKLEY, etc.)
18	state	high	[18] all values are 'PA' (Pennsylvania)
19	zip	high	[19] contains 5-digit ZIP codes (15238, 15044, 15206, etc.)
150	skip	medium	[150] contains 10-digit phone numbers (4123628025, 7178776312)

Notes: 153 total columns identified; 12 contain PII. Columns 0,1,5,9-13,16,20-149 (except 150) are internal IDs, party codes, district codes, or empty fields and should be skipped per rules. This is a standard US voter registration format with detailed personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ALLEGHENY__ALLEGHENY_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured file with consistent tab-delimited format, but all visible columns represent geographic identifiers (county, precinct codes, and place names). No PII fields such as names, addresses, dates of birth, or contact information are present in the sample. The data appears to be purely geographic and administrative boundaries, likely used for voting district mapping. No emails, phone numbers, or personal identifiers are visible.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ALLEGHENY__ALLEGHENY_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This file appears to be a header-only or metadata file describing voting districts and codes. No PII fields are present in the first 50 rows. All columns contain geographic/district codes and descriptions, not personal voter data. This is likely a reference file for interpreting voter registration data, not the actual voter records themselves.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ARMSTRONG__ARMSTRONG_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured file with no PII columns present. The data appears to be election event records (election names, IDs, and dates) with no personal identifying information. All columns are non-PII according to exclusion rules (election metadata, IDs, and dates).

USVoterData_BF__data__Pennsylvania__2018__Statewide__ARMSTRONG__ARMSTRONG_FVE_20181001.txt

14 columns41,088 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are surnames like FORESTER, RUPP, WATT
3	firstName	high	[3] header suggests first name, values are given names like SANDRA, ROY, TIMOTHY
4	middleName	high	[4] header suggests middle name or initial, values are single letters F, J, A, K
5	suffix	high	[5] values include JR, mapping to suffix field
6	gender	high	[6] values are F/M/U mapping to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
8	skip	high	[8] additional date column likely alternate birth date format
14	address1	high	[14] values are street addresses like MCHADDON RD, STATE ROUTE 1042
15	address2	medium	[15] contains apartment/unit numbers like 8, 132
16	address2	medium	[16] contains PO boxes like P.O.BOX 93, PO BOX 88
17	city	high	[17] values are city names like KITTANNING, NUMINE, FORD CITY
18	state	high	[18] values are state abbreviations like PA
19	zip	high	[19] values are 5-digit zip codes like 16201, 16244
150	skip	high	[150] contains 10-digit phone numbers like 7247835053

Notes: 153 total columns identified; 12 contain PII (names, addresses, DOB, gender, phone). Remaining columns appear to be internal voter IDs, precinct codes, party affiliations, and other administrative data which are skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ARMSTRONG__ARMSTRONG_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file contains purely geographic/political administrative divisions (boroughs, townships, districts) with no personal identifiable information. All columns represent location codes and names rather than individual voter data. No PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ARMSTRONG__ARMSTRONG_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header description file, not actual voter records. It contains only metadata about column meanings (e.g., 'Precinct', 'School district'). No PII fields are present in these rows. The actual data would contain voter registration details, but this sample only shows the schema legend.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEAVER__BEAVER_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a non-PII structured file listing election events with consistent tab-delimited format. Columns contain state codes, event IDs, election descriptions, and dates — no personal identifiers present. All rows follow the same pattern with no embedded emails, phone numbers, or other PII.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEAVER__BEAVER_FVE_20181001.txt

10 columns109,695 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] values are single initials/letters, consistent with middle name representation
6	gender	high	[6] values are 'M'/'F' which map directly to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
14	address1	high	[14] header indicates address, values are street addresses
17	city	high	[17] header and values clearly represent city names
18	state	high	[18] values are standard US state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes
150	skip	high	[150] values are 10-digit numbers matching US phone number format

Notes: 153 columns total, 10 contain PII: lastName, firstName, middleName, gender, dob, address1, city, state, zip, phone. Remaining columns are internal IDs, geographic codes, voter status flags, and timestamps which are skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEAVER__BEAVER_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file is not a delimited dataset with PII columns; it's a structured listing of Pennsylvania voter precincts for Beaver County with no personal information. Each row contains a county name, a numeric code, and a precinct name/township, none of which constitute PII. No emails, addresses, names, or other sensitive data are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEAVER__BEAVER_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is a header-less metadata row describing geographic/political district codes for Beaver County voter records. No PII fields appear in this row; all entries are codes, labels, and placeholder values (NU = Not Used). Subsequent rows likely contain actual voter records with PII. This sample only includes the descriptive header row, so no PII columns can be mapped from it alone.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEDFORD__BEDFORD_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or structured columns; appears to be a list of election events with location and dates rather than personal voter records

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEDFORD__BEDFORD_FVE_20181001.txt

12 columns31,260 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header indicates last name, values are surnames like STOEFFLER, GATES
3	firstName	high	[3] header indicates first name, values are common given names: JOHN, SUSAN, TIMOTHY
4	middleName	high	[4] header and values align with middle name conventions (single letters M, A, D, W)
6	gender	high	[6] contains gender codes M/F matching voter data patterns
7	skip	high	[7] format MM/DD/YYYY matches birth date patterns in voter records
8	skip	high	[8] second birth date column with MM/DD/YYYY format
14	address1	high	[14] contains street address components like FRIENDSHIP VILLAGE RD
17	city	high	[17] contains city names: BEDFORD, SCHELLSBURG, JAMES CREEK
18	state	high	[18] contains consistent state abbreviation PA
19	zip	high	[19] contains valid 5-digit ZIP codes: 15522, 15559
150	skip	high	[150] contains 10-digit US phone numbers: 7175762395, 8146352438
151	city	high	[151] duplicate city information matching column 17

Notes: 153 total columns identified; 11 contain PII including duplicate city field. All party affiliation/political codes (columns 9,11,73,75,etc) are skipped per exclusion rules for internal flags

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEDFORD__BEDFORD_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file appears to be a structured list of geographic districts and regions within Bedford County, Pennsylvania. It contains only geographic identifiers, district codes, and region descriptions with no personal identifying information (PII). All columns represent location codes and area names rather than individual voter data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BEDFORD__BEDFORD_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely structural metadata describing geographic and administrative divisions (Precinct, City ward, School district, Municipality, Magistrate, Legislative, Senate, Congressional, School district region, County). No personal identifying information (PII) fields like names, addresses, dates of birth, or contact details appear in the visible rows. All columns represent non-PII geographic codes and labels, thus no PII columns to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BERKS__BERKS_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or structured columns; contains election cycle records and dates, not PII

USVoterData_BF__data__Pennsylvania__2018__Statewide__BERKS__BERKS_FVE_20181001.txt

10 columns254,171 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	high	[4] single initial values, column name suggests middle name component
6	gender	high	[6] values are 'M'/'F'/'U', header implies gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header implies birth date
14	address1	high	[14] values are street addresses, header implies address line 1
17	city	high	[17] values are city names, header implies city
18	state	high	[18] values are two-letter state abbreviations, header implies state
19	zip	high	[19] values are 5-digit zip codes, header implies zip/postal code
150	skip	high	[150] values are 10-digit numbers, header implies phone number

Notes: 153 columns total, 10 contain PII (names, addresses, DOB, gender, phone). Remaining columns are internal IDs, geographic codes, party affiliation, voting status, and other non-PII administrative fields. All PII columns mapped with high confidence based on header names and sample values.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BERKS__BERKS_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file contains purely geographic codes and location names (precinct identifiers). No personal identifiers such as names, addresses, or contact information are present. All entries are structured as county identifiers, codes, and location names, which do not qualify as PII under the defined fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BERKS__BERKS_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header-only file describing voter registration fields for Berks County. No actual voter records with PII are present in the first 50 rows. All visible columns represent geographic/district codes, administrative divisions, and structural fields — none contain personal identifying information. The data appears to be a schema or field definition listing rather than actual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BLAIR__BLAIR_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains unstructured election participation records with no personal identifying information. Each line represents a voter named BLAIR participating in a specific election with a date. There are no columns for names, addresses, DOB, phone numbers, etc. — only static voter name "BLAIR" and election metadata. No PII fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BLAIR__BLAIR_FVE_20181001.txt

12 columns75,534 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] values include both middle names and honorifics; mapped as middleName per values like SHELLITO, JOHN, JOHN
6	gender	high	[6] values are 'F'/'M' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
8	skip	high	[8] values match MM/DD/YYYY date pattern and represent birth dates
14	address1	high	[14] header and values clearly represent street addresses
16	city	high	[16] header and values represent city names
17	city	high	[17] values are city names like MARTINSBURG, DUNCANSVILLE, ALTOONA
18	state	high	[18] values are two-letter US state abbreviations like PA
19	zip	high	[19] values are 5-digit US ZIP codes
150	skip	high	[150] values are 10-digit US phone numbers

Notes: 153 total columns; 9 contain PII. Columns 4 contains mixed honorifics and middle names; mapped as middleName based on majority values. Columns with party affiliation codes (e.g., D/R) and precinct codes were excluded per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BLAIR__BLAIR_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data consists of structured voting district codes and identifiers rather than personal PII fields. All visible columns contain geographic identifiers, district codes, and administrative divisions without any names, addresses, contact details, or other PII. This is typical voter roll metadata used for precinct mapping, not individual voter records. No PII fields are present to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BLAIR__BLAIR_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header row for a US voter data file. The first row contains placeholder values ('BLAIR') and descriptive labels for each column. There are no PII values in this row. Subsequent rows likely contain actual voter data with PII fields such as voter_id, first_name, last_name, address, city, state, zip, dob, gender, etc. Further analysis of rows 14+ is required to map PII columns accurately.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BRADFORD__BRADFORD_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent column structure - appears to be a list of election events with election type and date, no personal identifiers present in the sample

USVoterData_BF__data__Pennsylvania__2018__Statewide__BRADFORD__BRADFORD_FVE_20181001.txt

11 columns36,210 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are surnames like SHOLLY, BONNERWITH, GELBUTIS
3	firstName	high	[3] header suggests first name, values are common given names like VICTOR, NANCY, GEORGIA
4	middleName	high	[4] header suggests middle name or initial, values are single letters like N, ANN, C, LEE
6	gender	high	[6] values are M/F, typical gender codes
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, another date field likely secondary birth date reference
14	address1	high	[14] values are street addresses like FRANCIS ST, SHESHEQUIN RD, STOVAK RD
17	city	high	[17] values are city names like SAYRE, ULSTER, ATHENS, TROY
18	state	high	[18] values are state abbreviations like PA
19	zip	high	[19] values are 5-digit zip codes like 18840, 18850, 18810
150	skip	low	[150] contains a 10-digit number 5702055932 which matches US phone number format

Notes: 153 total columns identified; 11 contain PII (names, gender, DOB, address components, phone). Remaining columns are internal IDs, district/county codes, registration metadata, and empty fields — all skipped per rules. Data matches US voter registration structure with detailed personal and geographic information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BRADFORD__BRADFORD_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains purely geographic and administrative codes without any personal identifying information. It lists municipalities, school districts, judicial districts, and other jurisdictional codes for Bradford County, PA. No names, addresses, or PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BRADFORD__BRADFORD_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This is a header/metadata row structure, not actual voter data. The first row appears to be a header label row ("BRADFORD"), and subsequent rows define codes and descriptions for voting districts/precincts (WARD, SC, MN, etc.). No PII is present in these rows — they are purely administrative codes and descriptions. The actual voter records (names, addresses, DOB, etc.) would appear later in the file and need to be processed separately.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUCKS__BUCKS_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a structured table of election dates and identifiers, but contains no personal identifiable information (PII). All columns represent election-related metadata (county codes, election types, and dates) which are not classified as PII per the rules. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUCKS__BUCKS_FVE_20181001.txt

13 columns452,482 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header indicates last name, values are common surnames
3	firstName	high	[3] header indicates first name, values are common given names
4	suffix	high	[4] values are generational suffixes (J, D, W, E, A)
6	gender	high	[6] values are 'M'/'F' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
8	skip	high	[8] values match MM/DD/YYYY date pattern and represent birth dates
14	address1	high	[14] header indicates address line, values are street addresses
15	address2	medium	[15] values appear to be apartment/unit numbers or additional address information
17	city	high	[17] header indicates city, values are city names
18	state	high	[18] header indicates state, values are state abbreviations (PA)
19	zip	high	[19] header indicates zip, values are 5-digit zip codes
92	partyAffiliation	—	[92] values represent political party affiliation (AP, D, R, NOP), not PII
151	county	—	[151] values represent county names (BUCKS), not PII

Notes: 153 columns total, 9 contain PII (lastName, firstName, suffix, gender, dob (x2), address1, address2, city, state, zip). Additional columns represent political party affiliation and county which are not considered PII per exclusion rules. The data follows a structured CSV format with consistent columns across all rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUCKS__BUCKS_Zone_Codes_20181001.txt

0 rows

File structure

Notes: free-form text with embedded precinct codes, no structured columns

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUCKS__BUCKS_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a headerless metadata file describing voting districts and codes, not actual voter records. Columns contain geographic codes (Precinct, School district, Municipal, etc.) and administrative numbers — no personal identifying information present. All columns map to skip per exclusion rules (internal codes, geographic identifiers, not PII).

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUTLER__BUTLER_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. File appears to contain election history records with voter ID 'BUTLER' and election details (election type and date). No personal identifiable information such as names, addresses, phone numbers, or dates of birth is present in the first 50 rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUTLER__BUTLER_FVE_20181001.txt

14 columns127,353 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are surnames like 'BITTING', 'URLING', 'TORSELL'
3	firstName	high	[3] header implies first name, values are given names like 'ROMAINE', 'ELIZABETH', 'CAROL'
4	middleName	high	[4] header implies middle name, values are initials or names like 'P', 'JAYNE', 'S'
5	suffix	high	[5] values are honorific suffixes like 'SR'
6	gender	high	[6] values are 'F'/'M' mapping to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, likely alternate birth date field
14	address1	high	[14] values are street addresses like 'MARWOOD RD', 'JAMESTOWN CT'
15	zip	high	[15] values are 5-digit ZIP codes
16	city	high	[16] values are city names like 'CABOT', 'VALENCIA', 'BUTLER'
17	state	high	[17] values are state abbreviations like 'PA'
18	state	high	[18] duplicate state field
19	zip	high	[19] values are 5-digit ZIP codes
150	skip	high	[150] values are 10-digit phone numbers

Notes: 153 columns total, 13 contain PII. Columns 0,1,13,20-22,24-32,34-42,44-49,51-59,61-69,71-73,75-85,87-89,91-93,95-99,101-105,107-109,111-113,115-119,121-125,127-129,131-133,135-137,139-149,151-152 are internal IDs, timestamps, geographic codes, or political affiliations and were skipped.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUTLER__BUTLER_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured file containing geographic and administrative codes (precincts, school districts, legislative districts) rather than personal voter records. No PII fields (names, addresses, emails, etc.) are present in the sample data. The file appears to be a reference table of district codes for Butler County, PA, used for organizing voter data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__BUTLER__BUTLER_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a headerless lookup table for geographic codes (Precinct, Ward, School District, etc.) and contains no personal identifiable information. All columns represent internal codes and geographic designations, not PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMBRIA__CAMBRIA_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains election event metadata (county name, event number, event description, and date) with no personal identifiable information. All columns represent event identifiers and dates rather than individual voter data. No PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMBRIA__CAMBRIA_FVE_20181001.txt

6 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'NAGLE', values are common surnames
3	firstName	high	[3] header 'MARY', values are common given names
4	middleName	medium	[4] values like 'THERESA' and initials 'L', 'M', 'J', 'A' indicate middle name or maiden name
6	gender	high	[6] values are 'F' and 'M' — unambiguous gender codes
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
150	skip	medium	[150] values are 10-digit US phone numbers

Notes: 153 columns total; only columns 2, 3, 4, 6, 7, and 150 contain PII. Columns 0, 1, 5-149 are internal IDs, empty fields, or political/registration codes and are skipped per rules. No company/business fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMBRIA__CAMBRIA_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured data with PII columns. The file appears to be a list of geographic codes and place names (townships, boroughs, schools) for Cambria County, Pennsylvania voter registration data. There are no personal identifiers (names, addresses, emails, etc.) in the visible rows. The format is tab-delimited with no header row. This is likely part of a voter registration dataset where the actual PII would be in other columns not shown in this sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMBRIA__CAMBRIA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-only row showing column mappings for a voter data file. No actual voter records are present in the first 50 rows — only the column name mappings. All columns are administrative codes (Precinct, Ward, School district, etc.) and contain no PII. Therefore, no PII columns to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMERON__CAMERON_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election-related data (voter registration history) with no PII fields present. Each row shows a voter ID (CAMERON) and election details (election type and date). No personal identifying information such as names, addresses, DOB, etc., is included in the first 50 rows provided.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMERON__CAMERON_FVE_20181001.txt

10 columns2,907 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from values like 'WIRT', 'GUISE', 'KANE'
3	firstName	high	[3] header 'firstName' inferred from values like 'DAWN', 'REBECCA', 'ABIGAIL'
4	middleName	medium	[4] values include single letters and full names; header suggests middle name
6	gender	high	[6] values are 'F'/'M' which map directly to gender
7	skip	high	[7] values follow MM/DD/YYYY date format, typical for birth dates
14	address1	high	[14] contains street address components like 'JERICHO RD', 'STERLING RUN RD'
17	city	high	[17] values are city names like 'SINNEMAHONING', 'DRIFTWOOD', 'EMPORIUM'
18	state	high	[18] all values are 'PA' indicating Pennsylvania
19	zip	high	[19] contains 5-digit ZIP codes like '15861', '15832', '15834'
150	skip	high	[150] contains 10-digit phone numbers like '8146010758', '8145462368'

Notes: 153 total columns; 10 contain PII (names, DOB, gender, address components, phone). Remaining columns are internal IDs, geographic codes, party affiliation, and timestamps — all excluded per rules. Data matches US voter registration structure with state PA focus.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMERON__CAMERON_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is unstructured voter registration data showing only geographic identifiers (ward, township, district codes) and county names. No PII fields (names, addresses, DOB, etc.) appear in the first 50 rows. The format is tab-delimited but contains only administrative codes, not personal voter records. Therefore, no PII columns to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CAMERON__CAMERON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-less metadata file describing geographic districts and precincts. No PII fields are present. All rows appear to be structural descriptors (e.g., 'Precinct', 'School district', 'Municipality'). The repeated 'CAMERON' value likely denotes a location label rather than personal data. No columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CARBON__CARBON_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter structure; appears to be a list of election events rather than structured voter records

USVoterData_BF__data__Pennsylvania__2018__Statewide__CARBON__CARBON_FVE_20181001.txt

12 columns42,873 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are surnames
3	firstName	high	[3] header suggests first name, values are given names
4	middleName	medium	[4] sparse but when present values appear as middle names or initials
5	suffix	low	[5] single value 'III' matches generational suffix pattern
6	gender	high	[6] values 'M'/'F' clearly indicate gender
7	skip	high	[7] values match MM/DD/YYYY birth date format
8	skip	high	[8] additional birth date column in same format
14	address1	high	[14] values are street addresses
15	zip	high	[15] 5-digit postal codes
17	city	high	[17] values are city names
18	state	high	[18] consistent 'PA' state abbreviation
150	skip	high	[150] 10-digit US phone numbers

Notes: 153 total columns; 12 contain PII (names, DOB, gender, address, phone). Remaining columns are internal IDs, voting districts, party affiliations, status flags, and other non-PII administrative data. File follows standard US voter registration layout with multiple date columns (registration, election participation) and geographic district codes.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CARBON__CARBON_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely geographic and administrative codes (county, district, township, school district) with no personal identifying information present. All entries are location identifiers and codes, not PII.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CARBON__CARBON_Zone_Types_20181001.txt

0 rows

File structure

Notes: This is not PII data - it's a header mapping file showing column purposes for a voter data CSV. The rows contain only codes and descriptions (e.g., CARBON, Precinct, School district). No actual voter records or PII values are present in these first 50 rows. The real data would appear later in the file with actual voter names, addresses, etc.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CENTRE__CENTRE_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be a list of election events with no personal identifiable information (PII). The columns contain election names and dates, which do not map to any PII fields. Therefore, no columns are mapped to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CENTRE__CENTRE_FVE_20181001.txt

17 columns109,426 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests surname, values are common last names: 'ERNST', 'MILLER', 'KLEMICK', 'JOHNSEN', 'MOYER'
3	firstName	high	[3] header suggests given name, values are common first names: 'JAYNE', 'SUSAN', 'REID', 'MARY', 'AMANDA', 'ROBERT'
4	middleName	medium	[4] values include both single letters and full names; maps to middleName as per pattern
6	gender	high	[6] values are 'F'/'M' which map directly to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates: '12/31/1925', '01/18/1942', etc.
8	skip	high	[8] values match MM/DD/YYYY date pattern and represent birth dates: '01/01/1980', '01/01/1966', etc.
10	skip	high	[10] values match MM/DD/YYYY date pattern and represent registration or enrollment dates: '01/11/2016', '10/05/2005', etc.
14	address1	high	[14] values are street addresses: 'BLUE SPRING LN', 'HONORS LN', 'LIONS HILL RD', etc.
17	city	high	[17] values are city names: 'BOALSBURG', 'STATE COLLEGE', 'LEMONT'
18	state	high	[18] values are two-letter state abbreviations: 'PA'
19	zip	high	[19] values are 5-digit zip codes: '16827', '16803', '16851'
20	address2	medium	[20] values include 'P.O. BOX' which maps to address line 2
22	city	high	[22] duplicate city values: 'BOALSBURG', 'LEMONT'
23	state	high	[23] duplicate state values: 'PA'
24	zip	high	[24] duplicate zip codes: '16827', '16851'
25	skip	high	[25] values match MM/DD/YYYY date pattern and represent registration dates: '11/04/2008', '05/15/2018', etc.
150	skip	high	[150] values are 10-digit numbers: '8142388120', '7173859164' — typical US phone format

Notes: 153 total columns; 21 contain PII (names, dates of birth, addresses, phone). Remaining columns are internal voter IDs, precinct codes, party affiliations, status flags, and other administrative data — all skipped per rules. Multiple date columns represent different voter lifecycle events (birth, registration, last vote, etc.) and all map to dob per pattern.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CENTRE__CENTRE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file contains only geographic and administrative codes (municipalities, townships, school districts, legislative districts). No personal identifiable information (PII) fields such as names, addresses, or contact details are present. All columns represent location identifiers and district codes, which do not qualify as PII per the provided definitions.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CENTRE__CENTRE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file is a metadata header describing voting districts and regions, not actual voter records. It contains only geographic and administrative codes (CENTRE, Precinct, Municipality, School district, etc.) with no personal identifiers. No PII fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CHESTER__CHESTER_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or column structure; contains election participation data with no PII fields

USVoterData_BF__data__Pennsylvania__2018__Statewide__CHESTER__CHESTER_FVE_20181001.txt

11 columns353,140 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are common surnames: 'DIETRICK', 'MABIUS', 'WISS', 'GREEN', 'JONES'
3	firstName	high	[3] values are common given names: 'HELEN', 'GERALDINE', 'RAYMOND', 'JOSEPH', 'TERRY', 'SALLY'
4	middleName	medium	[4] contains initials and some full middle names: 'W', 'J', 'E', 'L', 'ANNE', 'C'
6	gender	high	[6] values are gender codes: 'F', 'M'
7	skip	high	[7] values match MM/DD/YYYY date format, interpreted as birth dates
8	skip	high	[8] additional birth date column in MM/DD/YYYY format
14	address1	high	[14] contains street addresses: 'STANTON AVE', 'N VALLEY FORGE RD', 'FREEDOM BLVD', etc.
17	city	high	[17] contains city names: 'WEST CHESTER', 'DEVON', 'COATESVILLE', etc.
18	state	high	[18] consistent state abbreviation 'PA' (Pennsylvania)
19	zip	high	[19] 5-digit postal codes: '19382', '19333', '19320', etc.
150	skip	high	[150] 10-digit numbers interpreted as phone numbers: '6106420576', '7177614896', '4846678625'

Notes: 153 columns total, 11 contain PII. This is a US voter registration dataset with detailed personal information including names, addresses, birth dates, gender, and phone numbers. Columns 0, 1, 5, 9-13, 15-23, 25-152 appear to be internal IDs, precinct codes, status flags, or empty fields and are mapped as skip.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CHESTER__CHESTER_Zone_Codes_20181001.txt

0 rows

File structure

Notes: This file is purely geographic data with no PII fields. It contains voting precinct identifiers (names and codes) but no personal information like names, addresses, or contact details. No emails or phone numbers are visible in the sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CHESTER__CHESTER_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured PII data; it's a header-less reference table defining geographic codes and district abbreviations used in voter rolls. All rows describe administrative divisions (Precinct, Ward, School district, etc.) and contain no personal identifiers. No columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLARION__CLARION_Election_Map_20181001.txt

0 rows

File structure

Notes: This file is not structured data; it's a free-form text listing election events with no consistent column pattern. It contains no PII fields like names, addresses, or identifiers. The format appears to be a simple list of election types and dates rather than a delimited dataset with personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLARION__CLARION_FVE_20181001.txt

12 columns22,717 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' (implied by position and values), values are common surnames
3	firstName	high	[3] header 'firstName' (implied by position and values), values are common given names
4	middleName	high	[4] header 'middleName' (implied by position and values), values are single letters or short names
6	gender	high	[6] values are 'M'/'F'/'U', header implies gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header implies birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, likely second DOB column (possibly registration date but format matches DOB)
14	address1	high	[14] values are street addresses (e.g., 'YEANY LN', 'DOMENICA CIR')
17	city	high	[17] values are city names (e.g., 'MAYPORT', 'CLARION')
18	state	high	[18] values are state abbreviations (e.g., 'PA')
19	zip	high	[19] values are 5-digit zip codes
150	skip	high	[150] values are 10-digit numbers, likely phone numbers
151	city	high	[151] duplicate city values, same as column 17

Notes: 153 columns total, 12 contain PII. Columns 0, 1, 5, 9, 10, 11-152 contain non-PII data such as internal IDs, party affiliation, precinct codes, and other administrative/voting records. Column 150 contains phone numbers despite no explicit header.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLARION__CLARION_Zone_Codes_20181001.txt

0 rows

File structure

Notes: free-form text with embedded location codes, no consistent columnar structure for PII fields

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLARION__CLARION_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This appears to be a metadata header file describing voter registration fields, not actual voter records. The sample rows contain only field descriptions (e.g., 'Precinct', 'City ward') and no personal data. No PII fields are present in this snippet.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLEARFIELD__CLEARFIELD_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a structured table of election events with no personal identifying information. Columns contain election names, sequence numbers, and election dates — all non-PII. No names, addresses, voter IDs, or other PII appear in the sample. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLEARFIELD__CLEARFIELD_FVE_20181001.txt

14 columns46,626 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values match common surnames (BRIGHTBILL, FETTERHOFF, KNEPP, DANNER, REDDEN)
3	firstName	high	[3] values match common given names (GENEVIEVE, SONYA, STEVEN, ROBERT, HERBERT, MANDY)
4	middleName	medium	[4] contains both blank and single-letter values (SUE, MARK, RUSSELL, M) which can be middle initials or names
5	suffix	medium	[5] contains generational suffix 'JR'
6	gender	high	[6] values are gender codes (F, M)
7	skip	high	[7] date format MM/DD/YYYY with plausible birth years (1954-1958)
14	address1	high	[14] contains street addresses (PINDER POINT RD, GRANDE TERRE CT, DOUGLAS RD, MANN RD, FRIENDLY ACRES RD)
15	city	medium	[15] contains city name 'LAKE'
16	address2	medium	[16] contains secondary address information (1931 treasure lake, 137 TREASURE LAKE, P O BOX 81)
17	city	high	[17] contains city names (DUBOIS, OLANTA, CLEARFIELD, CURWENSVILLE)
18	state	high	[18] all values are 'PA' (Pennsylvania abbreviation)
19	zip	high	[19] contains valid 5-digit ZIP codes (15801, 16863, 16830, 16833)
150	skip	high	[150] contains 10-digit US phone number (8142363267)
151	city	high	[151] repeated city name 'CLEARFIELD'

Notes: 153 total columns; 12 contain PII. Key PII fields identified: full names (lastName, firstName, middleName, suffix), gender, DOB (birth date), residential address components (address1, address2, city, state, zip), and phone number. Columns 0, 1, 8-13, 20-149 (except mapped) appear to be internal IDs, precinct codes, status flags, or empty — mapped to skip per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLEARFIELD__CLEARFIELD_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be structured geographic and administrative codes for Clearfield County, Pennsylvania, including boroughs, townships, legislative districts, and county identifiers. There are no visible PII fields (e.g., names, addresses, emails, phone numbers, DOB, SSN) in the first 50 rows. All entries consist of location names, district numbers, and codes, which do not qualify as personally identifiable information under the provided field definitions. No columns map to any PII categories.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLEARFIELD__CLEARFIELD_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This is a metadata header file describing column meanings for voter data, not actual voter records. The rows shown are column descriptions rather than data rows. No PII fields are present in this header metadata file — it only defines geographic/political divisions (Precinct, Ward, School district, Municipality, Magistrate, Legislative, Senate, Congressional, County). These are administrative codes, not personal identifiers. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLINTON__CLINTON_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or row structure. Contains only election-related text and no identifiable personal information columns

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLINTON__CLINTON_FVE_20181001.txt

12 columns20,736 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] values include single letters and occasional full middle names
6	gender	high	[6] values are 'M'/'F' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
14	address1	high	[14] values are street addresses
16	city	high	[16] values are city names
17	city	high	[17] duplicate city values
18	state	high	[18] values are US state abbreviations (PA)
19	zip	high	[19] values are 5-digit ZIP codes
150	skip	medium	[150] contains a 10-digit number matching US phone format
151	fullName	high	[151] values repeat 'CLINTON' suggesting a formal name field

Notes: 153 total columns; 22 contain PII including names, addresses, DOB, gender, phone. Many columns appear to be internal state/voter IDs, precinct codes, and party affiliation flags which are skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLINTON__CLINTON_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a structured list of geographic and administrative divisions rather than a dataset containing personal identifiable information (PII). It includes entries for townships, boroughs, regions, districts, and county codes, but no actual voter records with names, addresses, or other PII fields. All entries are geographic identifiers and codes, which do not qualify as PII under the defined field types. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CLINTON__CLINTON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided sample contains only header-like structure and codes (CLINTON, Prec, WD, etc.) without any actual PII fields. These appear to be metadata columns describing geographic and administrative divisions (Precinct, Ward, School District, Municipality, etc.). No personal identifiable information such as names, addresses, dates of birth, phone numbers, etc., is present in this snippet. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__COLUMBIA__COLUMBIA_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be a list of election events with no personal identifiable information (PII). The columns contain location (COLUMBIA), an index number, election description, and election date. There are no columns mapping to PII fields such as email, phone, DOB, names, addresses, etc. Therefore, no PII columns are identified.

USVoterData_BF__data__Pennsylvania__2018__Statewide__COLUMBIA__COLUMBIA_FVE_20181001.txt

10 columns38,075 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header indicates last name, values are common surnames
3	firstName	high	[3] header indicates first name, values are common given names
4	middleName	medium	[4] values include single letters and full names, matches middle name pattern
6	gender	high	[6] values are 'M'/'F' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date format, header suggests birth date
14	address1	high	[14] contains street addresses like 'CATHERINE ST', 'BLACK BEAR DR'
16	city	high	[16] contains city names like 'BLOOMSBURG', 'CATAWISSA'
18	state	high	[18] contains state abbreviation 'PA'
19	zip	high	[19] contains 5-digit ZIP codes
151	fullName	medium	[151] contains city name 'COLUMBIA' which could be part of full name in some contexts, but low confidence due to limited samples

Notes: 153 total columns, 10 contain PII. Columns 0, 1, 5, 8, 9, 10, 11-153 contain internal IDs, timestamps, flags, or empty values and are skipped per rules. Column 151 maps to fullName with medium confidence due to limited samples but is included as it may represent part of a name in some records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__COLUMBIA__COLUMBIA_Zone_Codes_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent column structure. Data consists of geographic references and district codes for Columbia County, PA, formatted as free text lines without a shared delimiter or repeating structure. No PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__COLUMBIA__COLUMBIA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file is a structured dataset with headers indicating geographic/political divisions (Precinct, Ward, School district, etc.). No columns map to PII fields (email, phone, dob, name, address, etc.). All visible columns are administrative codes or region identifiers, not personal data. No personal identifiers are present in the provided rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CRAWFORD__CRAWFORD_Election_Map_20181001.txt

0 rows

File structure

Notes: This file is free-form text with no consistent columnar structure. Each line contains voter election participation records in prose format, not a delimited CSV. Since it lacks consistent delimiters and row structure, it qualifies as unstructured text requiring streaming extraction. No column mapping is possible.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CRAWFORD__CRAWFORD_FVE_20181001.txt

13 columns52,223 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are common last names: NELSON, PRICE, ALDRETE, MILLER, LEWIS
3	firstName	high	[3] values are common first names: KATHERINE, JEFFREY, SUSAN, HENRY, BRIDGET, KAREN
4	middleName	high	[4] contains middle names and initials: 'A O', 'EVERETT', 'L', 'F', 'BJURSTROM', 'C'
5	suffix	high	[5] contains honorific suffix values: 'SR'
6	gender	high	[6] binary gender codes: 'F' and 'M'
7	skip	high	[7] dates in MM/DD/YYYY format likely birth dates: 09/04/1937, 09/26/1964, etc.
8	skip	high	[8] additional birth dates in MM/DD/YYYY format: 01/01/1972, 12/11/1997, etc.
14	address1	high	[14] contains street addresses: 'BIRCH DR', 'LOCUST ST', 'EASTVIEW AVE', etc.
17	city	high	[17] contains city names: 'MEADVILLE', 'CAMBRIDGE SPRINGS'
18	state	high	[18] two-letter state abbreviation: 'PA'
19	zip	high	[19] contains 5-digit ZIP codes: '16335', '16403'
150	skip	low	[150] one value appears to be a 10-digit phone number: '8145734148'
151	fullName	high	[151] contains full name: 'CRAWFORD' (likely part of a full name construction from surrounding name fields)

Notes: 153 columns total, 12 contain PII: lastName, firstName, middleName, suffix, gender, dob (two date columns), address1, city, state, zip, phone, and fullName. Remaining columns are internal IDs, geographic/district codes, status flags, and empty fields — all mapped to skip per exclusion rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CRAWFORD__CRAWFORD_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured PII data. The file contains geographic and administrative codes for Crawford County, Pennsylvania, including township names, school districts, legislative districts, and congressional districts. There are no personal identifiers (names, addresses, DOBs, etc.) present. All entries are location-based codes and labels, which do not constitute PII under the defined field types.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CRAWFORD__CRAWFORD_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured file but contains only non-PII metadata columns (location codes, district identifiers). No personal identifying information fields (names, addresses, DOB, etc.) appear in the first 50 rows. All columns represent geographic/political divisions or placeholder values.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CUMBERLAND__CUMBERLAND_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured voter registration data but a list of election events with precinct names and dates. No PII columns are present — only election names and dates. All columns are skipped per exclusion rules (no names, addresses, DOB, etc.).

USVoterData_BF__data__Pennsylvania__2018__Statewide__CUMBERLAND__CUMBERLAND_FVE_20181001.txt

12 columns170,865 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] headerless column values are surnames (SIMMONS, REXROTH, AUX, NOPSON, LEEDS, BOWES)
3	firstName	high	[3] headerless column values are first names (RICHARD, MARTHA, JAMES, LINDA, FREDERICK, THOMAS)
4	middleName	medium	[4] single initial values (E, H, R, R, A, M) match typical middle name initials
5	suffix	high	[5] contains suffix values like 'JR' matching generational suffix pattern
6	gender	high	[6] contains gender codes 'M' and 'F' (male/female)
7	skip	high	[7] values match MM/DD/YYYY date format (05/14/1958, 12/08/1938, 12/26/1948, 11/02/1941, 04/21/1945, 11/10/1934)
8	skip	high	[8] additional date-of-birth values in MM/DD/YYYY format (01/01/1976 repeated across samples)
14	address1	high	[14] contains street address values (CHARLES ST, SHIPPENSBURG RD, MOORELAND AVE, GEORGE AVE, LEEDS RD, BULLOCK CIR)
16	city	high	[16] contains city names (MECHANICSBURG, SHIPPENSBURG, CARLISLE, NEWVILLE)
17	state	high	[17] all values are 'PA' indicating Pennsylvania state
18	zip	high	[18] contains 5-digit ZIP codes (17055, 17257, 17013, 17241, 17015)
151	county	high	[151] contains repeated 'CUMBERLAND' values indicating county name

Notes: 153 total columns identified; 12 contain PII (names, DOB, address, gender, state/ZIP). Columns 0,1,13,15,20-22,24-150 contain internal IDs, empty fields, or election-specific codes (precinct, district, party codes) — mapped to skip. Election party codes (R/D/AP) are not PII and excluded.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CUMBERLAND__CUMBERLAND_Zone_Codes_20181001.txt

0 rows

File structure

Notes: The file contains purely geographic / administrative codes (precinct names, school districts, municipality codes, legislative districts) with no personal or identifiable information. All columns map to non-PII administrative categories per voter data schema guidelines. No email, phone, name, address, DOB, SSN, or other PII fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__CUMBERLAND__CUMBERLAND_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header file describing geographic districts and voting structures, not actual voter records. Columns contain geographic codes, district names, and structural identifiers — no personal PII fields (names, addresses, DOB, etc.) are present. All columns map to skip per exclusion rules (company/business references, internal IDs, and non-PII descriptors).

USVoterData_BF__data__Pennsylvania__2018__Statewide__DAUPHIN__DAUPHIN_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains election-related data with no personal identifiable information (PII). All columns appear to be structured election event records (election type, date) without any voter names, addresses, or other PII fields. The data represents election cycles rather than individual voter details.

USVoterData_BF__data__Pennsylvania__2018__Statewide__DAUPHIN__DAUPHIN_FVE_20181001.txt

16 columns184,152 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	suffix	high	[4] single letters likely generational suffixes (Jr/Sr), not honorifics
6	gender	high	[6] values are 'M'/'F' — unambiguous gender indicators
7	skip	high	[7] MM/DD/YYYY dates likely birthdate (earliest dates 1919-1946)
8	skip	high	[8] MM/DD/YYYY dates likely alternate birthdate or registration date; maps to dob per rules
14	address1	high	[14] free-text street addresses like 'THREE RIVERS DR'
15	address2	medium	[15] numeric values likely apartment/unit numbers
16	address2	medium	[16] values like 'APT 404' clearly secondary address line
17	city	high	[17] city names like 'HARRISBURG', 'PALMYRA', 'MIDDLETOWN'
18	state	high	[18] consistent 'PA' values — state abbreviation
19	zip	high	[19] 5-digit zip codes like '17112', '17078'
20	address1	medium	[20] contains additional street address fragments like '130 E LAUER LN'
22	city	medium	[22] contains city name 'CAMP HILL'
23	state	medium	[23] contains state abbreviation 'PA'
24	zip	medium	[24] contains 5-digit zip code '17011'

Notes: 153 columns total, 22 contain PII. Excluded internal IDs (0, 12, 26, 27, 30, 31, 32-38, 42, etc.), timestamps (7,8,10,25,28), political/registration flags (11,89-149), and other non-PII fields per exclusion rules. Multiple address lines captured where present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__DAUPHIN__DAUPHIN_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely administrative codes for Pennsylvania voting districts and precincts. It contains no personal identifiable information (PII). Columns represent geographic regions (counties, boroughs, townships) and electoral subdivisions, but no names, addresses, dates of birth, etc. No mapping to PII fields is possible.

USVoterData_BF__data__Pennsylvania__2018__Statewide__DAUPHIN__DAUPHIN_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: none

Notes: This appears to be a header/metadata row structure, not actual voter data records. The first row contains the literal string 'DAUPHIN' repeated, followed by column labels like 'Precinct', 'City ward', etc. These are administrative codes and geographic divisions, not PII. No actual voter records (names, addresses, DOB, etc.) are present in the first 15 rows provided, which are purely structural. Additional rows containing voter data would need to be examined to map PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__DELAWARE__DELAWARE_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or row structure; contains election metadata but no PII fields

USVoterData_BF__data__Pennsylvania__2018__Statewide__DELAWARE__DELAWARE_FVE_20181001.txt

13 columns399,153 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	suffix	high	[4] values are single letters (R, W, G, M) which could be honorifics or suffixes; given the voter data context and lack of explicit title column, these are likely suffixes
6	gender	high	[6] values are 'F', 'M', 'U' which correspond to gender codes
7	skip	high	[7] values match MM/DD/YYYY date pattern, typical for birth dates in voter data
8	skip	high	[8] values match MM/DD/YYYY date pattern, typical for birth dates in voter data
11	suffix	high	[11] values are party affiliations (R, D, CT), but given the pattern of other columns and voter data context, this is likely a mislabeled suffix column. However, party affiliation is not a PII field, so this should be skipped. Re-evaluating: In voter data, party affiliation is typically not considered PII. Therefore, this column should be skipped.
14	address1	high	[14] values are street addresses
15	address2	medium	[15] values like '3305', '11A', 'C9' suggest apartment/unit numbers
17	city	high	[17] values are city names
18	state	high	[18] values are all 'PA' indicating state
19	zip	high	[19] values are 5-digit zip codes
151	country	high	[151] values are all 'DELAWARE' indicating country/state

Notes: 153 columns total, 11 contain PII. This is a US voter data compilation with detailed personal information including names, addresses, birth dates, gender, and state. Columns 4 and 11 were identified as potential suffix and party affiliation respectively, but party affiliation is not a PII field and should be skipped. All other columns appear to be internal IDs, geographic codes, or timestamps and are skipped per exclusion rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__DELAWARE__DELAWARE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely geographic identifiers (state, precinct code, precinct name) with no personal identifying information (PII). All columns represent administrative divisions and voting precincts, not individual voter records. No email, phone, name, address, DOB, SSN, etc. are present in the sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__DELAWARE__DELAWARE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This is a metadata header file describing voter registration fields for Delaware, not actual voter records. It contains only geographic/district labels (Precinct, Ward, School district, Municipality, etc.) and administrative codes. No personal PII fields (names, addresses, DOB, etc.) appear in this sample. All columns represent internal codes and descriptions, so they map to 'skip' per rules. The file is structured but contains zero PII.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ELK__ELK_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter structure; lines vary in format and length. This is not a structured CSV/TSV file and contains election event descriptions rather than voter PII records. No column mapping is possible.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ELK__ELK_FVE_20181001.txt

13 columns19,224 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] occasional middle initials/names present, header position suggests middle name
5	suffix	medium	[5] values are generational suffixes (Sr, Jr, etc.)
6	gender	high	[6] values are 'M' indicating male gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
8	skip	high	[8] additional birth date column with MM/DD/YYYY pattern
14	address1	high	[14] values are street addresses (e.g., 'JEFFERSON ST')
16	address2	medium	[16] values include 'PO BOX 102' indicating secondary address line
17	city	high	[17] values are city names (e.g., 'BYRNEDALE')
18	state	high	[18] values are state abbreviations (PA)
19	zip	high	[19] values are 5-digit ZIP codes
150	skip	high	[150] values are 10-digit phone numbers

Notes: 153 total columns; 12 contain PII (names, addresses, DOB, gender, phone). Remaining columns are internal IDs, voting districts, status codes, and other non-PII administrative data. All PII fields mapped with high confidence based on header names and value patterns.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ELK__ELK_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: File is unstructured: contains only geographic/taxonomic codes and names of locations/districts (counties, townships, school districts, legislative districts). No personal PII fields detected. Format is tab-delimited but rows represent location codes rather than individual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ELK__ELK_Zone_Types_20181001.txt

0 rows

File structure

Notes: The file appears to be a structured table of voter registration metadata with codes and descriptions, but no actual PII fields (names, addresses, DOB, etc.) are present in the first 50 rows. All columns contain geographic/political codes and labels (Precinct, Ward, School district, etc.). No emails, phone numbers, names, or other PII are visible. Therefore, no PII columns can be mapped.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ERIE__ERIE_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election metadata (county, election ID, election name, date) with no personal voter data. All columns are skip fields per exclusion rules (no PII present).

USVoterData_BF__data__Pennsylvania__2018__Statewide__ERIE__ERIE_FVE_20181001.txt

12 columns190,184 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests surname, values are common last names
3	firstName	high	[3] header suggests given name, values are common first names
4	middleName	medium	[4] values are single letters, likely middle initials
5	suffix	high	[5] header empty but values are generational suffixes (JR)
6	gender	high	[6] values are 'M'/'F' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header implies birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, likely alternate birth date
14	address1	high	[14] values are street addresses
17	city	high	[17] values are city names
18	state	high	[18] values are state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes
150	skip	high	[150] values are 10-digit numbers matching US phone format

Notes: 153 columns total, 12 contain PII. Columns 0,1,13,15-152 appear to be internal IDs, empty fields, or administrative codes and are skipped. Dates at indices 10,24,28 are registration/voter status dates — not DOB — skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ERIE__ERIE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file contains purely geographic and administrative data (ward districts, school districts, municipalities) with no identifiable personal information. All columns represent location codes and names of districts/townships, which do not qualify as PII under the defined categories. No email addresses, phone numbers, names, or other personal data appear in the sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__ERIE__ERIE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-only file describing voter registration fields for the state of ERIE. No actual voter data (names, addresses, etc.) is present in the first 50 rows — only metadata about district types and codes. Since there are no PII values or structured records, no columns can be mapped to PII fields. The file appears to be a schema or field definition listing rather than actual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FAYETTE__FAYETTE_Election_Map_20181001.txt

0 rows

File structure

Notes: This file contains no structured columns. It is a list of election events with county names, event IDs, event descriptions, and dates. There are no personal identifiable information (PII) fields such as names, addresses, or contact details in the provided rows. The data appears to be election metadata rather than voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FAYETTE__FAYETTE_FVE_20181001.txt

10 columns77,646 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'WOLFE', values are surnames
3	firstName	high	[3] header 'ELEANORE', values are given names
4	middleName	medium	[4] header 'MARIE', values are initials or middle names
6	gender	high	[6] values 'F'/'M' map directly to gender
7	skip	high	[7] values match MM/DD/YYYY birth date pattern
14	address1	high	[14] header 'HOPEWELL RD', values are street addresses
17	city	high	[17] header 'WHITE', values are city names
18	state	high	[18] values are consistent US state abbreviation 'PA'
19	zip	high	[19] 5-digit values represent ZIP codes
150	skip	medium	[150] values are 10-digit US phone numbers

Notes: 153 columns total, 10 contain PII: lastName, firstName, middleName, gender, dob, address1, city, state, zip, phone. All other columns are internal IDs, geographic codes, voter status flags, or empty fields and are skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FAYETTE__FAYETTE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data consists entirely of geographic and administrative codes (county, school districts, municipalities, judicial districts, legislative districts) with no personal identifying information (PII). There are no columns containing names, addresses, dates of birth, phone numbers, emails, or other PII fields. All entries are location identifiers and district codes, which fall under skip criteria (internal IDs, administrative codes).

USVoterData_BF__data__Pennsylvania__2018__Statewide__FAYETTE__FAYETTE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header row describing geographic/district codes (Precinct, Ward, School District, etc.) and not actual voter data rows. No PII fields present in this row. The file appears to be a metadata header for a voter registration dataset; actual PII-containing rows would follow this pattern but aren't visible in the first 50 rows provided.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FOREST__FOREST_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured PII data. The file contains election-related metadata: election titles, sequence numbers, and election dates. No personal identifiable information (PII) such as names, addresses, or contact details is present. The data appears to be a list of election events rather than voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FOREST__FOREST_FVE_20181001.txt

14 columns3,319 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] headerless but values match typical middle name patterns (single letters, short names)
5	suffix	high	[5] values are generational suffixes (SR, III, JR)
6	gender	high	[6] values are M/F, headerless but clearly gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, likely birthdate
8	skip	high	[8] values match MM/DD/YYYY date pattern, likely registration or election date — but given context and adjacent birth date column, this is also a date of birth component; map as dob
10	skip	high	[10] values match MM/DD/YYYY date pattern, likely registration date — but given context and adjacent birth date columns, this may also be a date of birth component; map as dob
14	address1	high	[14] values are street addresses
16	address2	medium	[16] values are PO Boxes, secondary address lines
17	city	high	[17] values are city names
18	state	high	[18] values are state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes
151	fullName	high	[151] values repeat 'FOREST' — likely a placeholder or error, but if real would be a full name component; map as fullName based on position and context

Notes: 153 columns total, 17 contain PII (names, addresses, DOB, gender, suffix). Many columns are internal IDs, precinct codes, party affiliation, and other non-PII metadata. Columns 7, 8, and 10 all map to dob due to date patterns and voter data context — while 8 and 10 may represent registration or election dates, they follow date formats consistent with birth dates and are adjacent to a clear dob column, justifying the mapping.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FOREST__FOREST_Zone_Codes_20181001.txt

0 rows

File structure

Notes: This file contains only geographic and administrative codes (townships, districts, counties) with no personal identifiable information. All columns appear to be location codes, district identifiers, and township names which do not contain any PII fields. No email, phone, name, address, or other PII fields are present in the sample data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FOREST__FOREST_Zone_Types_20181001.txt

0 rows

File structure

Notes: This file appears to be a header-less metadata file describing voting districts and administrative divisions, not actual voter records. The columns contain geographic/district codes (Precinct, Ward, School district, Municipality, Magistrate district, Legislative, Senate, Congressional, County) and "Not used" placeholders. No PII fields (names, addresses, DOB, etc.) are present in the first 50 rows. These appear to be structural codes for organizing voter rolls rather than personal voter data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FRANKLIN__FRANKLIN_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election-related data (voter precinct names, election types, and dates). No PII fields (names, addresses, DOB, etc.) are present. All entries are structured records of election events with no personal identifying information. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FRANKLIN__FRANKLIN_FVE_20181001.txt

12 columns91,957 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies surname, values are common last names
3	firstName	high	[3] header implies given name, values are common first names
4	middleName	medium	[4] values include both single initials and full middle names
6	gender	high	[6] values are 'M'/'F' which map directly to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
8	skip	high	[8] values match YYYY-MM-DD date pattern and represent birth dates
14	address1	high	[14] contains street address components like 'ORRSTOWN RD' and 'MENNO VILLAGE'
17	city	high	[17] values are city names like 'ORRSTOWN', 'CHAMBERSBURG', 'SHIPPENSBURG'
18	state	high	[18] values are all US state abbreviations ('PA')
19	zip	high	[19] values are 5-digit US zip codes
150	skip	high	[150] values are 10-digit numbers matching US phone format
151	fullName	high	[151] values are consistent surname 'FRANKLIN' repeated across rows, likely part of full name construction

Notes: 153 total columns identified; 11 contain PII (names, addresses, dates of birth, phone numbers, gender, state, zip). Remaining columns are internal IDs, geographic codes, status flags, and empty fields — all mapped to skip per exclusion rules. Data structure matches US voter registration format with detailed personal and precinct information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FRANKLIN__FRANKLIN_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file is purely structural/geographic data (precinct, district, and legislative district codes) with no personal or identifiable information. All columns represent location identifiers, district numbers, and township/borough names — no PII fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FRANKLIN__FRANKLIN_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-less metadata file describing district/precinct codes rather than containing actual voter records. No PII fields present. All columns contain district codes, labels, and structural descriptors (e.g., 'School district', 'Municipal', 'Judicial').

USVoterData_BF__data__Pennsylvania__2018__Statewide__FULTON__FULTON_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a list of election records with no personal identifiable information (PII). The columns contain election names and dates, which do not map to any PII fields. Therefore, no columns are mapped to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FULTON__FULTON_FVE_20181001.txt

12 columns9,025 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	high	[4] header implies middle name, values are single letters representing initials
6	gender	high	[6] values are 'M'/'F' which map directly to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
8	skip	high	[8] values match MM/DD/YYYY date pattern and represent birth dates
14	address1	high	[14] values are street addresses
15	address2	high	[15] values are apartment/suite numbers
16	city	high	[16] values are city names
18	state	high	[18] values are US state abbreviations
19	zip	high	[19] values are 5-digit ZIP codes
150	skip	high	[150] values are 10-digit US phone numbers

Notes: 153 columns total, 12 contain PII. Columns 0,1,5,9-13,20-23,25-32,34-152 contain internal IDs, timestamps, or geographic codes that are not PII. The data represents US voter registrations with detailed personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FULTON__FULTON_Zone_Codes_20181001.txt

0 rows

File structure

Notes: This is a structured dataset of US voter registration data, but the provided rows are not actual voter records—they are metadata describing townships, school districts, magisterial districts, legislative districts, congressional districts, and county references. The rows contain location identifiers (e.g., "AYR TOWNSHIP", "CENTRAL FULTON SCHOOL DISTRICT"), codes (e.g., "0100", "SC29130", "MN001"), and district names, but no personal voter information such as names, addresses, DOBs, or contact details. Therefore, there are no PII fields in these rows to map. The file likely contains additional structured voter records elsewhere; this snippet only shows geographic/district metadata.

USVoterData_BF__data__Pennsylvania__2018__Statewide__FULTON__FULTON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header row for precinct/district codes, not actual voter records. No PII present. All columns describe geographic/district codes and are non-PII per exclusion rules (internal codes, district identifiers). No email, phone, name, address, or other PII fields appear in this row.

USVoterData_BF__data__Pennsylvania__2018__Statewide__GREENE__GREENE_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a simple two-column tab-delimited file with election metadata only. Column 0 appears to be a county name ("GREENE") and column 1 contains sequential record numbers. Column 2 contains election names and column 3 contains election dates. There are no PII fields present in this data sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__GREENE__GREENE_FVE_20181001.txt

14 columns21,762 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] headerless but values match middle names/initials
6	gender	high	[6] values are 'M'/'F' and header implies gender
7	skip	high	[7] values match MM/DD/YYYY birth date format
14	address1	high	[14] values are street addresses
17	city	high	[17] values are city names
18	state	high	[18] values are two-letter US state abbreviations
19	zip	high	[19] values are 5-digit US zip codes
20	address2	medium	[20] values include PO boxes and addresses
22	city	medium	[22] duplicate city values
23	state	medium	[23] duplicate state values
24	zip	medium	[24] duplicate zip values
150	skip	high	[150] values are 10-digit US phone numbers

Notes: 153 columns total, 13 contain PII. Columns 0,1,5,8-13,15,21,25-152 contain internal IDs, timestamps, flags, or district codes and are skipped. Column 8 appears to be an alternate birth date but is excluded due to headerless nature and overlapping meaning with column 7.

USVoterData_BF__data__Pennsylvania__2018__Statewide__GREENE__GREENE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely geographic and administrative codes with no personal identifiable information (PII). Columns contain county names, district codes, and municipal/township identifiers — none map to email, phone, name, address, DOB, SSN, gender, suffix, or other PII fields. No structured PII exists in this sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__GREENE__GREENE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata file describing district codes and precinct structures for Greene County. It contains no personal voter records or PII fields - only geographic identifiers and administrative codes. All values are codes and descriptions (e.g., 'Precinct', 'Ward', 'School district'). No columns map to PII fields as per the exclusion rules for internal IDs and non-PII codes.

USVoterData_BF__data__Pennsylvania__2018__Statewide__HUNTINGDON__HUNTINGDON_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured PII data; it's a list of election events with place names, identifiers, and dates. No columns map to PII fields. The data appears to be election metadata rather than voter registration records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__HUNTINGDON__HUNTINGDON_FVE_20181001.txt

12 columns29,868 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from values like DUNLAVY, SEAGRIST, BUKOWSKI
3	firstName	high	[3] header 'firstName' inferred from values like MARION, LARRY, TRUDIE
4	middleName	medium	[4] values include single letters and names like MAE, JOSEPH
6	gender	high	[6] values are 'F'/'M' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
8	skip	high	[8] values match MM/DD/YYYY date pattern and represent birth dates
14	address1	high	[14] contains street address components like WESTMINSTER DR, SHADE VALLEY RD
17	city	high	[17] contains city names like HUNTINGDON, SHADE GAP, JAMES CREEK
18	state	high	[18] all values are 'PA' indicating Pennsylvania
19	zip	high	[19] contains 5-digit ZIP codes like 16652, 17255, 16657
150	skip	high	[150] contains 10-digit US phone numbers
151	city	high	[151] duplicate city values like HUNTINGDON

Notes: 153 total columns; 12 contain PII (names, dob, gender, address, phone). Columns 0,1,5,13,15-152 are internal IDs, empty fields, or administrative codes and skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__HUNTINGDON__HUNTINGDON_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data consists of structured geographical and administrative codes without any personal identifiable information (PII). All fields appear to represent location codes, district identifiers, and region labels rather than individual voter data. No columns map to PII fields such as names, addresses, emails, or phone numbers.

USVoterData_BF__data__Pennsylvania__2018__Statewide__HUNTINGDON__HUNTINGDON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header row from a voter registration dataset. The first row describes column purposes (e.g., Precinct, City ward, School district) but contains no actual voter PII. All columns here are structural identifiers (Precinct, WD, SC, etc.) and 'Not used' placeholders — none map to PII fields. True PII (names, addresses, DOB, etc.) will appear in subsequent rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__INDIANA__INDIANA_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII columns. It appears to be a list of election types and dates for Indiana, with no personal identifying information present. All columns are election-related metadata (state, election ID, election description, election date) and do not contain any names, addresses, dates of birth, phone numbers, or other PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__INDIANA__INDIANA_FVE_20181001.txt

12 columns48,888 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are surnames (WHITACRE, BENFIELD, HENDRICKS, etc.)
3	firstName	high	[3] header implies first name, values are given names (J, ANGELA, DAVID, etc.)
4	middleName	high	[4] header implies middle name, values are single letters or initials (L, R, H, W, B)
6	gender	high	[6] values are 'F'/'M' matching gender codes, header implies gender
7	skip	high	[7] values match MM/DD/YYYY date format, header implies birth date
8	skip	high	[8] values match MM/DD/YYYY date format, likely alternate birth date or registration date
14	address1	high	[14] values are street addresses (ST ANDREWS CT, SNOW DRIFT LN, etc.)
17	state	high	[17] values are state names (INDIANA), header implies state
18	state	high	[18] values are state abbreviations (PA), header implies state
19	zip	high	[19] values are 5-digit ZIP codes (15701)
150	skip	high	[150] values are 10-digit US phone numbers (7244641803)
151	state	high	[151] values are state names (INDIANA), duplicate state info

Notes: 153 total columns; 22 contain PII (names, DOB, gender, address, state, ZIP, phone). Remaining columns are internal IDs, precinct codes, voter status flags, and other non-PII administrative data. Data represents US voter registrations from multiple states.

USVoterData_BF__data__Pennsylvania__2018__Statewide__INDIANA__INDIANA_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured tabular file but contains no personal identifiable information (PII). All columns represent geographic/political divisions (state, district codes, and district names) with no names, addresses, contact details, or other PII fields. The data appears to be purely administrative geographic identifiers for Indiana voting districts and school districts.

USVoterData_BF__data__Pennsylvania__2018__Statewide__INDIANA__INDIANA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header/metadata row describing columns for Indiana voter data. No actual PII fields are present in the first 50 rows. The rows contain state codes, column indices, and descriptions of what each column represents (e.g., precinct, ward, school district). These are structural identifiers, not personal data. Subsequent rows likely contain voter PII, but they are not visible in the provided sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JEFFERSON__JEFFERSON_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured CSV file but contains no PII fields. The data appears to be election event metadata (election names and dates) with no personal information such as names, addresses, or voter details. All columns represent election identifiers and dates, which are not PII under the defined rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JEFFERSON__JEFFERSON_FVE_20181001.txt

10 columns29,626 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] values are single letters and short names, consistent with middle names
6	gender	high	[6] values are 'M'/'F'/'U', maps directly to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, labeled as birth date
14	address1	high	[14] header indicates address, values are street addresses
17	city	high	[17] header and values clearly indicate city names
18	state	high	[18] values are state abbreviations (PA), maps to state
19	zip	high	[19] values are 5-digit zip codes
150	skip	high	[150] values are 10-digit phone numbers

Notes: 153 columns total, 10 contain PII: names, gender, DOB, address components, phone. Remaining columns are internal IDs, voting districts, status flags, and empty fields — all skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JEFFERSON__JEFFERSON_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains structured geographic and administrative region codes for Jefferson County. It lists townships, boroughs, districts, and regions with no personal identifying information (PII) present. All entries are place names, codes, and numerical identifiers with no names, addresses, dates of birth, contact details, or other PII fields. No columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JEFFERSON__JEFFERSON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-only file describing column meanings for a voter registration dataset. No actual voter records are present in the first 50 rows — only placeholder labels like 'JEFFERSON' and descriptions such as 'Precinct', 'City ward', etc. Since there are no PII values and no structured data rows, no columns can be mapped to PII fields. All entries are metadata about geographic/district codes.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JUNIATA__JUNIATA_Election_Map_20181001.txt

0 rows

File structure

Notes: The provided data is free-form text listing election events with no consistent columnar structure. Each line describes an election with location, election type, and date, but there are no repeating fields like names, addresses, or other PII. This is not a delimited dataset and cannot be mapped to PII columns.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JUNIATA__JUNIATA_FVE_20181001.txt

14 columns13,732 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'WILLI', values are common surnames
3	firstName	high	[3] header 'AUSTIN', values are common first names
4	middleName	high	[4] header 'H', values like 'ANN' indicate middle names
5	suffix	high	[5] header 'JR', values 'JR', 'SR' are generational suffixes
6	gender	high	[6] header 'M', values 'M'/'F' represent gender
7	skip	high	[7] header '01/05/1947', values are dates in MM/DD/YYYY format
8	skip	high	[8] values are dates in MM/DD/YYYY format
14	address1	high	[14] header 'NEALMAN RD', values are street addresses
16	city	high	[16] header 'MIFFLIN', values are city names
17	city	high	[17] values match known city names
18	state	high	[18] header 'PA', values are two-letter state abbreviations
19	zip	high	[19] header '17058', values are 5-digit ZIP codes
150	skip	medium	[150] values match 10-digit phone number pattern
151	state	high	[151] header 'JUNIATA', values are state names

Notes: 153 total columns, 13 contain PII. Columns 0, 1, 9-13, 15, 20-149 (excluding mapped) are internal IDs, timestamps, flags, or empty. File is a voter registration dataset from US states.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JUNIATA__JUNIATA_Zone_Codes_20181001.txt

0 rows

File structure

Notes: The file contains purely geographic and administrative codes (county names, district numbers, region identifiers) with no personal identifiable information. All columns represent election districts, magisterial regions, legislative districts, and congressional codes — not voter records with PII. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__JUNIATA__JUNIATA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header descriptor file showing column mappings for a voter data CSV, not actual voter records. The lines describe field meanings (e.g., 'JUNIATA' is a county, 'Prec' is short for Precinct). No PII is present in this sample; it serves as a schema guide. All columns are metadata codes or placeholders (e.g., NU = Not Used). Therefore, no PII fields can be mapped from this structure definition alone.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LACKAWANNA__LACKAWANNA_Election_Map_20181001.txt

0 rows

File structure

Notes: This is a structured file but contains only election event metadata (county name, event number, event description, date). No PII fields are present. All columns are election-related identifiers and timestamps, which are not considered PII under the provided rules. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LACKAWANNA__LACKAWANNA_FVE_20181001.txt

14 columns142,760 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	high	[4] header implies middle name, values include initials and full middle names
6	gender	high	[6] values are 'M' and 'F', header suggests gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, another birth date column
14	address1	high	[14] values are street addresses, header suggests address
17	city	high	[17] values are city names, header suggests city
18	state	high	[18] values are state abbreviations, header suggests state
19	zip	high	[19] values are 5-digit zip codes, header suggests zip
22	city	medium	[22] values are city names, though header is empty
23	state	medium	[23] values are state abbreviations, though header is empty
24	zip	medium	[24] values are 5-digit zip codes, though header is empty
151	county	high	[151] values are county names, though no dedicated PII field exists; this is administrative location and not PII per se, but included for completeness in voter data context

Notes: 153 columns total, 13 contain PII. This is a US voter registration dataset with detailed personal information including names, dates of birth, gender, and full residential addresses. Columns 7 and 8 both represent dates of birth (DOB), likely capturing different birth dates or registration dates. Column 151 contains county names, which are administrative locations and not direct PII but are included for context in voter data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LACKAWANNA__LACKAWANNA_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is NOT a PII-containing structured file. The data consists entirely of geographic codes, municipality names, and school district identifiers. There are no personal identifiers, contact details, or sensitive attributes present in the visible rows. The format appears to be a tab-delimited list of voting precinct codes and associated administrative regions, typical of voter registration metadata files rather than individual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LACKAWANNA__LACKAWANNA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header/metadata row structure describing voter district codes and abbreviations, not actual voter records. No PII fields present — all columns represent geographic/administrative codes (Precinct, Ward, School District, Municipality, etc.). The first column appears to be a location identifier ("LACKAWANNA"). This is typical of voter roll metadata files used to map geographic regions to internal codes; actual voter data would be in separate files with columns for names, addresses, DOB, etc.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LANCASTER__LANCASTER_Election_Map_20181001.txt

0 rows

File structure

Notes: The provided text is a free-form list of election events with no consistent delimiter structure. Each line contains a location (LANCASTER), a sequential number, and election details, but there is no recurring column pattern or field separation. This format does not qualify as structured data with columns; it is purely descriptive election records. No PII fields are present in this sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LANCASTER__LANCASTER_FVE_20181001.txt

13 columns325,172 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header is empty but values are surnames like GARBERICH, LEVERENTZ, HALL, EGAN, ZEIDERS, DARHOWER
3	firstName	high	[3] header is empty but values are first names like RICHARD, SHIRLEY, WILLIAM, JEAN, DELVIN, CHARLENE
4	suffix	high	[4] values are gender codes (R, C, L, H, E) but this column has values like 'R' and 'C' which are generational suffixes (Jr, Sr, etc.) in voter data
5	suffix	high	[5] values are 'SR' and empty, consistent with generational suffix (Sr.) in voter records
6	gender	high	[6] values are 'M' and 'F', clear gender indicators
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates (07/24/1926, 05/22/1930, etc.)
8	skip	high	[8] values match MM/DD/YYYY date pattern and represent birth dates (01/01/1947, 01/01/1952, etc.)
14	address1	high	[14] values are street addresses like FREEMASON DR, WATERCRESS LN, SYCAMORE DR, JAMES BUCHANAN DR, EDEN VIEW RD, W RIDGE RD
17	city	high	[17] all values are ELIZABETHTOWN, a clear city name
18	state	high	[18] all values are PA, a valid US state abbreviation
19	zip	high	[19] values are 5-digit zip codes like 17022
150	skip	high	[150] values are 10-digit numbers (7173614094, 7173615799, etc.), typical US phone format
151	city	high	[151] all values are LANCASTER, a valid city name

Notes: 153 columns total, 12 contain PII: lastName, firstName, suffix (2 columns), gender, dob (2 columns), address1, city, state, zip, phone. Remaining columns are internal IDs, precinct codes, registration dates, status flags, and other non-PII administrative data common in voter rolls.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LANCASTER__LANCASTER_Zone_Codes_20181001.txt

0 rows

File structure

Notes: This file is a plain text list of geographic identifiers (precincts/townships) for Lancaster County, PA. It contains no personal identifiable information (PII) such as names, addresses, emails, or phone numbers. The structure is free-form with no consistent column arrangement. The entries are administrative divisions and do not contain any importable data for PII extraction.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LANCASTER__LANCASTER_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not PII data; it's purely geographic/district metadata for Lancaster County. All columns describe political/administrative boundaries (precincts, wards, districts, etc.). No personal voter information appears in these rows. This appears to be a header/metadata row block from the voter file, not actual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LAWRENCE__LAWRENCE_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a list of election events with no personal identifying information. The columns contain static text describing election types and dates, with no PII fields present. All rows follow the same pattern: location name, sequential number, event description, and date.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LAWRENCE__LAWRENCE_FVE_20181001.txt

11 columns54,336 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are common last names: BOOK, BURCHETT, DEJOHN, BRUCKNER, GRECO
3	firstName	high	[3] values are common first names: RICHARD, RUSS, PHYLLIS, CHARLES, JEAN
4	middleName	medium	[4] values include initials and names: JAY, E, M, ADAM, L
6	gender	high	[6] values are M/F/U (male/female/undisclosed)
7	skip	high	[7] values match MM/DD/YYYY date format, typical for birth dates
14	address1	high	[14] contains street addresses: HARBOR EDINBURG RD, SHENANGO RD, DEWEY AVE
17	city	high	[17] contains city names: EDINBURG, NEW CASTLE
18	state	high	[18] all values are PA (Pennsylvania)
19	zip	high	[19] contains 5-digit zip codes: 16116, 16105, 16101
150	skip	low	[150] contains a 10-digit number: 7246987762
151	fullName	high	[151] all values are LAWRENCE — likely a preserved full name field or family name

Notes: 153 columns total, 11 contain PII. Columns 0, 1, 5, 8-13, 15-23, 25-62, 64-150 appear to be internal IDs, geographic codes, timestamps, or flags and are skipped per rules. Column 151 appears to be a preserved full name or family name field.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LAWRENCE__LAWRENCE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely geographic and administrative — it contains only place names, codes, and district identifiers with no personal identifying information (PII). No columns map to email, phone, dob, names, addresses, ssn, password, username, gender, suffix, or facebookId. All entries are structured as location references (townships, boroughs, precincts, school districts, magisterial districts, legislative districts, congressional districts, and county codes). Therefore, there are no PII columns to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LAWRENCE__LAWRENCE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This file is a header-only or metadata file describing voter districts and codes, not actual voter records. The sample shows only geographic codes and labels with no personal data or PII fields. All columns are non-PII (geographic codes, precinct names, etc.).

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEBANON__LEBANON_Election_Map_20181001.txt

0 rows

File structure

Notes: This file is a list of election events with no personal voter data. It contains only election names, dates, and identifiers. No PII is present, and the structure is not tabular with consistent columns. The format is unstructured prose with no embedded emails or phone numbers.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEBANON__LEBANON_FVE_20181001.txt

12 columns85,026 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are common surnames: BEDARD, FACKLER, MOYLE, DELUCA, HONEYCHURCH, GREINER
3	firstName	high	[3] header suggests first name, values are common given names: ALBERT, MARY, JANE, VIVIAN, JOANNE, MARY
4	suffix	high	[4] header suggests suffix, values are generational suffixes: J, H, M, A, K
6	gender	high	[6] header suggests gender, values are M/F/U: M, F, F, F, U, F
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date: 11/18/1928, 12/13/1924, 04/27/1924, 09/14/1929, 03/04/1938, 12/03/1925
8	skip	high	[8] values match MM/DD/YYYY date pattern, header suggests birth date: 01/01/1956, 01/01/1958, 01/01/1976, 01/01/1980, 01/01/1968, 01/01/1968
14	address1	high	[14] header suggests address, values are street addresses: SWEETWATER DR, GRUBB RD, OXFORD DR, N LARKSPUR DR, CORNWALL MANOR , E MAIN ST
17	city	high	[17] header suggests city, values are city names: PALMYRA, LEBANON, CORNWALL, ANNVILLE
18	state	high	[18] header suggests state, values are state abbreviations: PA, PA, PA, PA, PA
19	zip	high	[19] header suggests zip, values are 5-digit zip codes: 17078, 17042, 17078, 17016, 17003
150	skip	high	[150] values are 10-digit phone numbers: 7174504594, 7175667205
151	city	high	[151] duplicate city values: LEBANON, LEBANON, LEBANON, LEBANON, LEBANON

Notes: 153 columns total, 12 contain PII: lastName, firstName, suffix, gender, dob (two date columns), address1, city, state, zip, phone, duplicate city. All other columns are internal IDs, political affiliation codes, district/precinct identifiers, or empty fields — skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEBANON__LEBANON_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The provided sample data is purely administrative and geographic, listing political districts, school districts, and legislative districts for Lebanon County. No PII fields (email, phone, name, address, etc.) are present. All values are codes, names of municipalities, and district identifiers. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEBANON__LEBANON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header file describing column purposes, not actual voter records. No PII present in this sample — only geographic codes, district labels, and placeholder 'Not used' entries. Actual voter data would contain PII in later rows, but this header-only snippet lacks any personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEHIGH__LEHIGH_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a list of election events with no PII fields. Columns contain election names and dates only. No identifiable personal information is present in the first 50 rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEHIGH__LEHIGH_FVE_20181001.txt

10 columns230,381 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	high	[4] header implies middle name, values are single letters representing initials
7	skip	high	[7] values match MM/DD/YYYY date pattern, labeled as birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, likely alternate birth date
14	address1	high	[14] values are street addresses, labeled as street
17	city	high	[17] values are city names
18	state	high	[18] values are state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes
150	skip	high	[150] values are 10-digit numbers, likely phone numbers

Notes: 153 columns total, 10 contain PII: lastName, firstName, middleName, dob (two date columns), address1, city, state, zip, phone. Remaining columns are internal IDs, geographic codes, party affiliation, status flags, and other non-PII administrative data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEHIGH__LEHIGH_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is NOT a PII-containing dataset. The file consists entirely of geographic identifiers and codes (ward numbers, district codes, municipality names) with no personal identifying information such as names, addresses, dates of birth, or contact details. All values are administrative codes and location descriptors. No columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LEHIGH__LEHIGH_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file is a header-only or metadata file describing voter registration fields for Lehigh County. It contains no actual voter records or PII data. The lines are structured as [County] [Column ID] [Column Code] [Description], but no personal information is present in the first 50 rows provided. All entries describe geographic/political divisions (Precinct, Ward, School district, Municipality, etc.) and are not PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LUZERNE__LUZERNE_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file contains election data with no PII fields. It lists election types and dates for Luzerne County, Pennsylvania, but does not include any personal identifiable information such as names, addresses, or contact details. All columns are skipped per exclusion rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LUZERNE__LUZERNE_FVE_20181001.txt

11 columns206,080 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'MILGRIM' suggests lastName, values are surnames
3	firstName	high	[3] header 'NORMAN' suggests firstName, values are given names
4	middleName	medium	[4] contains mixed single letters and names; maps to middleName based on position and pattern
6	gender	high	[6] values 'M'/'F' map directly to gender
7	skip	high	[7] dates in MM/DD/YYYY format represent date of birth
8	skip	high	[8] additional date column also in MM/DD/YYYY format
14	address1	high	[14] contains street addresses like 'EAST END BLVD'
17	city	high	[17] contains city names like 'WILKES BARRE'
18	state	high	[18] consistent 'PA' values indicate state
19	zip	high	[19] 5-digit postal codes
150	skip	high	[150] contains 10-digit phone numbers

Notes: 153 total columns; 11 contain PII (names, addresses, dates, gender, phone). Remaining columns are internal IDs, geographic codes, election data, and empty fields — all skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LUZERNE__LUZERNE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be structured but contains no identifiable PII fields. The columns appear to represent geographic and administrative divisions (e.g., townships, boroughs, wards) with codes and area names. There are no columns containing names, addresses, dates of birth, phone numbers, emails, SSNs, or other PII as defined in the instructions. All visible data is geographic/administrative categorization.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LUZERNE__LUZERNE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-only row containing geographic and administrative codes (Precinct, Ward, School district, Municipality, etc.). No PII fields present in this row. The data appears to be a structural metadata row defining codes for voter registration data rather than actual voter records. Subsequent rows would contain voter data, but this sample only includes the header row.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LYCOMING__LYCOMING_Election_Map_20181001.txt

0 rows

File structure

Notes: The provided data appears to be a list of election events with no consistent column structure or personal information. Each line contains a county name, an entry number, an election description, and a date. There are no identifiable PII fields such as names, addresses, emails, or phone numbers in this sample. This is likely a reference or index file rather than a voter registration record dump.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LYCOMING__LYCOMING_FVE_20181001.txt

12 columns67,843 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from sample values (ORNDORF, YOUNG, HARRIS, etc.), mapped as lastName
3	firstName	high	[3] header 'firstName' inferred from sample values (JANICE, ROBERT, MELISSA, etc.), mapped as firstName
4	middleName	high	[4] header 'middleName' inferred from sample values (A, KAY, T, LYNN, A), mapped as middleName
6	gender	high	[6] header 'gender' inferred from sample values (F, M, F, U, F, M), mapped as gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date, mapped as dob
8	skip	high	[8] values match MM/DD/YYYY date pattern, header suggests birth date, mapped as dob
14	address1	high	[14] header 'address1' inferred from sample values (RAMSEY DR, NORTHWAY ROAD EXT, BACK RD, etc.), mapped as address1
17	city	high	[17] header 'city' inferred from sample values (JERSEY SHORE, WILLIAMSPORT, ALLENWOOD, etc.), mapped as city
18	state	high	[18] header 'state' inferred from sample values (PA), mapped as state
19	zip	high	[19] header 'zip' inferred from sample values (17740, 17701, 17810, etc.), mapped as zip
150	skip	high	[150] values are 10-digit numbers, mapped as phone
151	county	—	Mapped as skip; column contains county names, which are not PII fields per rules

Notes: 153 columns total, 11 contain PII (lastName, firstName, middleName, gender, dob (twice), address1, city, state, zip, phone); rest are internal IDs, precinct codes, voter status flags, timestamps, and other non-PII metadata. County column excluded as non-PII per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LYCOMING__LYCOMING_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is a structured list of townships, boroughs, and districts within Lycoming County, Pennsylvania. There are no PII fields present in this dataset. The entries consist of geographic identifiers, codes, and township/borough names, which do not qualify as personal identifiable information under the defined field types. The data appears to be administrative or electoral boundary information rather than individual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__LYCOMING__LYCOMING_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header file describing voting districts/precincts in Lycoming County, not voter records. Columns contain geographic codes and descriptions (e.g., Precinct, Ward, School district). No PII fields present. All columns map to skip per exclusion rules (geographic/administrative codes, not personal data).

USVoterData_BF__data__Pennsylvania__2018__Statewide__MERCER__MERCER_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent column structure; appears to be a list of election events with dates rather than structured voter records

USVoterData_BF__data__Pennsylvania__2018__Statewide__MERCER__MERCER_FVE_20181001.txt

13 columns70,977 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header matches last_name pattern, values are surnames
3	firstName	high	[3] header matches first_name pattern, values are given names
4	gender	high	[4] values are M/F/LYNN/T (gender codes)
6	gender	high	[6] values are F/U/M (gender codes)
7	skip	high	[7] values match MM/DD/YYYY date format and header implies birth date
8	skip	high	[8] values match MM/DD/YYYY date format and header implies birth date
10	skip	high	[10] values match MM/DD/YYYY date format and header implies birth date
14	address1	high	[14] values are street names and match address pattern
16	city	high	[16] values are city names
17	city	high	[17] values are city names
18	state	high	[18] values are two-letter state abbreviations
19	zip	high	[19] values are 5-digit ZIP codes
150	skip	high	[150] values are 10-digit phone numbers

Notes: 153 columns total, 13 contain PII (names, addresses, DOB, gender, phone). Columns 0,1,5,9,11-13,15,20-23,25-29,30-32,33-38,39-46,48-52,54-58,60-62,64-68,70-72,74-76,78-82,84-126,128-130,132-134,136-138,140-142,144,146-152 are skipped (internal IDs, flags, timestamps, counters, political/party codes, precinct/district codes)

USVoterData_BF__data__Pennsylvania__2018__Statewide__MERCER__MERCER_Zone_Codes_20181001.txt

0 rows

File structure

Notes: The provided sample consists of geographic district codes and names (e.g., 'MERCER', 'CLARK BORO', 'MAGISTERIAL DISTRICT 35201'). There are no identifiable personal fields (names, addresses, DOB, etc.). This appears to be a reference table of political/administrative districts rather than voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MERCER__MERCER_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-less metadata file describing voting districts and precincts, not actual voter records. Contains only geographic codes and labels (e.g., 'MERCER', 'Precinct', 'City ward'). No PII fields present. All columns map to skip per exclusion rules (internal codes, geographic descriptors).

USVoterData_BF__data__Pennsylvania__2018__Statewide__MIFFLIN__MIFFLIN_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured file with consistent tab-delimited columns, but all visible data consists of election event names, sequence numbers, and dates. There are no personal identifiers (PII) such as names, addresses, emails, phone numbers, or other sensitive fields in the first 50 rows. The data appears to be a log of election participation events rather than voter registration records. No PII columns are present in this sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MIFFLIN__MIFFLIN_FVE_20181001.txt

11 columns24,462 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are common surnames
3	firstName	high	[3] header suggests first name, values are common first names
4	middleName	medium	[4] values appear to be single letters, likely middle initials
6	gender	high	[6] values are 'M'/'F', standard gender codes
7	skip	high	[7] values match MM/DD/YYYY date format, typical for birth dates
8	skip	high	[8] values match MM/DD/YYYY date format, typical for birth dates
14	address1	high	[14] header suggests address, values are street names with types (DR, ST, AVE)
17	city	high	[17] header suggests city, values are valid US city names
18	state	high	[18] values are 'PA', standard US state abbreviation
19	zip	high	[19] values are 5-digit numbers, standard US ZIP codes
150	skip	high	[150] values are 10-digit numbers, standard US phone format

Notes: 153 columns total, 11 contain PII: names, gender, DOB, address components, phone. Remaining columns are internal IDs, geographic codes, election data, and empty fields — all skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MIFFLIN__MIFFLIN_Zone_Codes_20181001.txt

0 rows

File structure

Notes: This file contains only geographic codes and district names with no personal identifiers. It appears to be a reference table mapping precinct codes to locations, not actual voter records with PII.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MIFFLIN__MIFFLIN_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-less metadata file describing voting districts and codes, not actual voter records. Contains only geographic and administrative codes (Precinct, Ward, School District, Municipality, Magistrate, Legislative, Senate, Congressional, Countywide). No PII fields present. All columns map to skip categories (internal codes, geographic designations).

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONROE__MONROE_Election_Map_20181001.txt

0 rows

File structure

Notes: This is a free-form text file listing election events with no consistent columnar structure or PII. It contains only election names and dates, with no personal information such as names, addresses, or contact details. Therefore, no PII columns can be mapped.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONROE__MONROE_FVE_20181001.txt

11 columns107,047 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from values like HORNE, KOABEL, GREEN
3	firstName	high	[3] header 'firstName' inferred from values like DIANE, JUDSON, LINDA
4	middleName	high	[4] header 'middleName' inferred from values like BARBARA, ROGERS, D
6	gender	high	[6] values are F/M, matches gender field
7	skip	high	[7] values match MM/DD/YYYY date pattern, typical for birth dates
8	skip	high	[8] values match MM/DD/YYYY date pattern, second birth date field
14	address1	high	[14] values like 'MICHAEL LN', 'BRIAN LN' are address lines
17	city	high	[17] values like STROUDSBURG, EFFORT are city names
18	state	high	[18] values are all 'PA', representing state abbreviation
19	zip	high	[19] values like 18360 are valid US zip codes
150	skip	high	[150] values are 10-digit numbers matching US phone format

Notes: 153 columns total, 11 contain PII: names (first/middle/last), gender, DOB (two date fields), address (street, city, state, zip), and phone. All other columns are internal IDs, district codes, status flags, or empty fields — mapped to skip per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONROE__MONROE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be structured but does not contain any identifiable PII fields such as email, phone number, date of birth, or addresses. The data consists of codes, district names, and identifiers that are not classified as PII according to the given rules. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONROE__MONROE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header row for US voter registration data. The first column appears to be a county name (MONROE), followed by numeric codes and descriptions of various electoral districts/wards. No PII fields are present in this header row. This appears to be a schema definition rather than actual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTGOMERY__MONTGOMERY_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured file containing election event metadata (location, event number, event name, date). No PII fields are present. Columns map to election tracking codes and dates, all non-PII per exclusion rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTGOMERY__MONTGOMERY_FVE_20181001.txt

12 columns563,209 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' implied by values like 'LANGE', 'BOYLE', 'SAXON'
3	firstName	high	[3] header 'firstName' implied by values like 'JACK', 'LENORE', 'DONNA'
4	middleName	high	[4] header 'middleName' implied by single-letter values typical of middle initials
6	gender	high	[6] values are 'M'/'F', header suggests gender
7	skip	high	[7] values match MM/DD/YYYY pattern, header suggests birth date
8	skip	high	[8] additional dob column with MM/DD/YYYY pattern
14	address1	high	[14] values are street names like 'MAIN ST', 'WOODSEDGE DR'
15	address2	medium	[15] values like '102', 'W247', '#324' suggest apartment/unit numbers
17	city	high	[17] values are city names like 'HARLEYSVILLE', 'GLADWYNE'
18	state	high	[18] all values are 'PA' (Pennsylvania abbreviation)
19	zip	high	[19] values are 5-digit zip codes like '19438', '19035'
150	skip	medium	[150] value '6102877673' matches 10-digit phone number pattern

Notes: PII columns identified from voter registration data: names, gender, DOB, address components, zip, phone. All other columns appear to be internal IDs, geographic codes, or political party affiliations and are skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTGOMERY__MONTGOMERY_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured PII data; it's a list of geographic districts/precincts in Montgomery County, Pennsylvania. Contains only location names, numeric codes, and area identifiers. No personal information (names, addresses, contact details) is present. The data represents administrative boundaries rather than individual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTGOMERY__MONTGOMERY_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header row from a voter data compilation, not actual voter records. The file contains only geographic codes, district identifiers, and structural labels (e.g., 'Precinct', 'Ward', 'School district'). There are no personal identifiers (PII) in this row. This appears to be a header schema for the voter file, mapping column indices to administrative divisions. No PII fields are present in the provided rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTOUR__MONTOUR_Election_Map_20181001.txt

0 rows

File structure

Notes: This is a free-form text file listing election events with no consistent column structure. It contains election names and dates but no personal identifiable information (PII). The format does not match structured data requirements, and therefore no columns can be mapped to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTOUR__MONTOUR_FVE_20181001.txt

10 columns13,150 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are surnames like ENGEL, KAUFFMAN, BARWICK
3	firstName	high	[3] header suggests first name, values are given names like RITA, CHRISTIAN, THOMAS
4	middleName	high	[4] header suggests middle name or initial, values are single letters or 'A'
6	gender	high	[6] values are 'U' (unknown/unspecified), 'M' (male), 'F' (female) — standard gender codes
7	skip	high	[7] values match MM/DD/YYYY birth date format (02/22/1934, 04/24/1978, etc.)
14	address1	high	[14] values are street addresses like MONTOUR ST, EDGEWOOD DR, LOWER MULBERRY ST
17	city	high	[17] all values are DANVILLE — clearly a city name
18	state	high	[18] all values are PA — Pennsylvania state abbreviation
19	zip	high	[19] all values are 17821 — valid US ZIP code format
150	skip	high	[150] values are 10-digit US phone numbers: 5702753141, 5705945393, etc.

Notes: 153 total columns; 10 contain PII (names, DOB, gender, address, phone). All other columns are internal IDs, geographic codes, election data, or empty fields — skipped per rules. Data is voter registration from US states (PA shown), spanning 2015–2021.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTOUR__MONTOUR_Zone_Codes_20181001.txt

0 rows

File structure

Notes: The provided data appears to be purely geographic and administrative codes (county, township, district identifiers) with no personal identifying information. All entries are structured location references and codes rather than individual voter records. No PII fields such as names, addresses, dates of birth, etc., are present in the sample. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__MONTOUR__MONTOUR_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-only file with geographic/district codes and labels. No personal identifying information (PII) is present. All columns contain geographic codes (e.g., county, precinct, legislative district), labels, and placeholders like 'Not used'. These are administrative codes, not personal data. No email, phone, name, address, DOB, SSN, or other PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__McKean__McKEAN_Election_Map_20181001.txt

0 rows

File structure

Notes: This is a free-form text file with no consistent column structure. It appears to be a list of election events with county codes, event types, and dates. There are no identifiable personal information fields (PII) present in this sample, and the data does not contain any embedded emails, phone numbers, or other PII in unstructured format.

USVoterData_BF__data__Pennsylvania__2018__Statewide__McKean__McKEAN_FVE_20181001.txt

12 columns23,710 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are surnames (DEHART, HARA, HABERBERGER, WEIKERT, WARTLUFT)
3	firstName	high	[3] values are given names (CLYDE, ERIN, KAREN, SHANNON, BEVERLY, RICHARD)
4	middleName	high	[4] contains middle names and initials (EDGAR, MARY, L, LEE, E, H)
5	suffix	high	[5] contains generational suffix 'JR'
6	gender	high	[6] binary values M/F representing gender
7	skip	high	[7] dates in MM/DD/YYYY format representing birth dates (09/07/1970, 05/04/1971, etc.)
8	skip	high	[8] additional birth dates in MM/DD/YYYY format (01/01/1992, 02/29/2000, etc.)
14	address1	high	[14] contains street addresses (KINGS RUN RD, CHELSEA LN, HIGHLAND RD, KING ST, TAYLOR DR)
17	city	high	[17] contains city names (SHINGLEHOUSE, BRADFORD, KANE, ELDRED)
18	state	high	[18] contains state abbreviation 'PA' (Pennsylvania)
19	zip	high	[19] contains 5-digit ZIP codes (16748, 16701, 16735, etc.)
151	state	high	[151] contains state name 'McKEAN' (appears to be a county or state abbreviation)

Notes: 153 columns total, 11 contain PII: names (first, middle, last, suffix), gender, DOB (two date columns), address (street, city, state, ZIP). All other columns appear to be internal IDs, voting precinct codes, registration dates, status flags, or other non-PII administrative data. The 'McKEAN' column at index 151 appears to be a state/county designation rather than a name.

USVoterData_BF__data__Pennsylvania__2018__Statewide__McKean__McKEAN_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is purely geographic/taxonomic data showing county subdivisions (townships, boroughs, districts) with no personal identifiers. All columns appear to be codes and location names without any PII fields such as names, addresses, or contact details.

USVoterData_BF__data__Pennsylvania__2018__Statewide__McKean__McKEAN_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a headerless metadata file describing geographic and administrative divisions (precincts, wards, districts, municipalities, etc.). No PII fields are present. All columns contain codes, labels, and descriptive text related to voting districts, not personal voter data. This appears to be a reference file for interpreting voter records, not the actual voter data itself.

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHAMPTON__NORTHAMPTON_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is not structured PII data; it's a list of election events with location and dates. No personal identifiers (names, addresses, etc.) are present. All columns are skip types (location strings and election metadata).

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHAMPTON__NORTHAMPTON_FVE_20181001.txt

12 columns207,240 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are surnames (BRITT, ARFANELLA, KLINGER, DENBLEYKER, WIGGINS, TERRY)
3	firstName	high	[3] values are given names (STANLEY, ANGELO, JANICE, WENDI, RODERICK, NOLAN)
4	middleName	medium	[4] values are initials or middle names (J, FRANCINE, ALLEN, RYAN, ANN)
6	gender	high	[6] values are gender codes (U, M, F)
7	skip	high	[7] values match MM/DD/YYYY date pattern (08/01/1941, 12/13/1974, 01/13/1965)
8	skip	high	[8] values match MM/DD/YYYY date pattern (01/01/1973, 01/06/1997, 04/01/1997)
10	skip	high	[10] values match MM/DD/YYYY date pattern (04/21/2007, 10/27/2007, 01/13/2016)
14	address1	high	[14] values are street addresses (COATBRIDGE LN, FOX RIDGE DR, BUTLER ST)
17	city	high	[17] values are city names (WALNUTPORT, NAZARETH, EASTON, BETHLEHEM)
18	state	high	[18] values are state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes (18088, 18064, 18042, 18045, 18020)
151	city	medium	[151] values are city names (NORTHAMPTON)

Notes: 153 total columns, 12 contain PII. Columns 0, 1, 5, 9, 11-152 (except 151) are skip fields (internal IDs, flags, geographic codes, timestamps). The file appears to be a voter registration dataset with detailed personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHAMPTON__NORTHAMPTON_Zone_Codes_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter structure; contains geographic codes and ward designations but no PII fields

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHAMPTON__NORTHAMPTON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-only row with location codes and field labels. No PII present in the first 50 rows. The actual voter data (names, addresses, DOB, etc.) would appear in subsequent rows with consistent column mapping. All visible columns are internal codes or location identifiers that do not contain personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHUMBERLAND__NORTHUMBERLAND_Election_Map_20181001.txt

0 rows

File structure

Notes: This file contains only election metadata (county name, election identifier, and election date) with no personal identifiable information. All rows are consistent in structure and contain no names, addresses, or other PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHUMBERLAND__NORTHUMBERLAND_FVE_20181001.txt

15 columns52,419 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from sample values like 'CULP', 'JANUSZ', 'RIDER', which are surnames
3	firstName	high	[3] header 'firstName' inferred from sample values like 'FREDERICK', 'JOAN', 'JEFFREY', which are given names
4	middleName	medium	[4] contains single letters and abbreviations like 'GEORGE', 'S', 'RUSSELL', typical of middle names or initials
5	suffix	medium	[5] values like 'JR', 'III' are generational suffixes; header is empty but values match suffix pattern
6	gender	high	[6] values are 'M'/'F' which map directly to gender
7	skip	high	[7] values like '10/24/1944' match MM/DD/YYYY date format; likely date of birth
8	skip	high	[8] additional date column with values like '01/01/1976'; also likely date of birth (birth year extraction)
14	address1	high	[14] street address values like 'N WASHINGTON ST', 'SANDY CIR', 'S HICKORY ST'
15	address2	medium	[15] likely apartment/unit number; sample value '205' fits address2 pattern
16	city	high	[16] empty header but values like 'SHAMOKIN', 'MILTON', 'MOUNT CARMEL' are city names
17	city	high	[17] values like 'SHAMOKIN', 'MILTON', 'MOUNT CARMEL' confirm city
18	state	high	[18] all values are 'PA' (Pennsylvania), clearly state abbreviation
19	zip	high	[19] values like '17872', '17847' are 5-digit ZIP codes
150	skip	high	[150] values like '5706440427' are 10-digit US phone numbers
151	city	high	[151] duplicate city values 'NORTHUMBERLAND' confirm city column

Notes: 153 total columns; 12 contain PII (names, dob, gender, address, phone). Remaining columns are internal IDs, precinct/district codes, party affiliation, status flags, and empty fields — all skipped per rules. Data appears to be US voter registration records from Pennsylvania (PA) with detailed personal and geographic information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHUMBERLAND__NORTHUMBERLAND_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: No PII columns detected. File appears to be a structured list of geographic and administrative codes (municipalities, school districts, legislative districts, etc.) without personal voter information. All fields represent location identifiers, district codes, and numerical references rather than personal data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__NORTHUMBERLAND__NORTHUMBERLAND_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This is a metadata header row describing column purposes, not actual data rows. No PII is present in this row. The actual data rows would contain voter registration details with columns like FullName, Address, DOB, etc., but they are not visible in this sample. This row alone cannot be mapped to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PERRY__PERRY_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a tab-delimited file containing election participation records. Columns include a name field 'PERRY' (likely a placeholder or truncated name), a sequential number, election description, and election date. No PII fields (email, phone, address, DOB, etc.) are present in the visible data. All columns appear to be election metadata or identifiers, not personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PERRY__PERRY_FVE_20181001.txt

11 columns28,304 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from sample values like 'ORRIS', 'MYERS', 'PEFFER'
3	firstName	high	[3] header 'firstName' inferred from sample values like 'JEANNE', 'DORIS', 'BEVERLY'
4	suffix	high	[4] header suggests suffix, values like 'L', 'J', 'E' match generational suffixes
6	gender	high	[6] values are 'F'/'M' and header indicates gender
7	skip	high	[7] values match MM/DD/YYYY date format, represents birth date
8	skip	high	[8] values match MM/DD/YYYY date format, represents birth date (duplicate DOB column)
14	address1	high	[14] contains street address components like 'COVE RD', 'LEONARD ST', 'MOUNTAIN RD'
17	city	high	[17] contains city names like 'DUNCANNON', 'MARYSVILLE', 'NEWPORT'
18	state	high	[18] consistently 'PA' indicating Pennsylvania as the state
19	zip	high	[19] contains 5-digit ZIP codes like '17020', '17053', '17074'
150	skip	high	[150] contains 10-digit numbers interpreted as phone numbers

Notes: 153 total columns; 11 contain PII (names, addresses, DOB, gender, phone). Many columns appear to be internal voting identifiers, district codes, or status flags and are skipped per rules. Two DOB columns present (columns 7 & 8).

USVoterData_BF__data__Pennsylvania__2018__Statewide__PERRY__PERRY_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured but non-PII file containing geographic codes, county names, and administrative district identifiers. No personal identifiable information (PII) fields such as names, addresses, dates of birth, phone numbers, or other sensitive data are present. The data appears to be purely administrative and jurisdictional codes used for voter registration and election purposes.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PERRY__PERRY_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be headerless metadata describing geographic and administrative divisions (Precinct, Ward, School district, Municipality, Magistrate district, Legislative district, Senate district, Congressional district, Municipality code, Region, County, etc.). There are no personal identifiers (PII) such as names, addresses, dates of birth, phone numbers, or email addresses in the visible rows. All columns contain geographic codes and labels, which are not considered PII under the provided field definitions. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PHILADELPHIA__PHILADELPHIA_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter structure; appears to be a list of election events with location and date information

USVoterData_BF__data__Pennsylvania__2018__Statewide__PHILADELPHIA__PHILADELPHIA_FVE_20181001.txt

10 columns1,046,733 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are common surnames
3	firstName	high	[3] header suggests first name, values are common given names
4	middleName	high	[4] header suggests middle name, values are single letters commonly used as initials
6	gender	high	[6] values are 'M'/'F' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
14	address1	high	[14] header suggests address line, values are street names
17	city	high	[17] header suggests city, values are 'PHILADELPHIA'
18	state	high	[18] header suggests state, values are 'PA' (Pennsylvania)
19	zip	high	[19] header suggests zip code, values are 5-digit numbers
150	skip	high	[150] values are 10-digit numbers, header suggests phone

Notes: 153 columns total, 10 contain PII (names, DOB, gender, address, phone). Remaining columns are internal IDs, geographic codes, voter status flags, and timestamps — all skipped per exclusion rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PHILADELPHIA__PHILADELPHIA_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains no PII fields. It appears to be a list of Philadelphia voting districts with identifiers only. No personal information such as names, addresses, or voter IDs are present in the visible rows. All columns represent district codes and geographic divisions only.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PHILADELPHIA__PHILADELPHIA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-like structure describing voting districts and offices rather than actual voter records. No PII fields are present in this sample. The rows appear to be metadata about Philadelphia voting districts and various elected positions rather than containing personal voter data. This is typical of voter registration files where the first few rows describe district codes and office abbreviations before the actual voter records begin.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PIKE__PIKE_Election_Map_20181001.txt

0 rows

File structure

Notes: This is a free-form text file listing election events with no consistent columnar structure. The data contains election names and dates but no personal identifiable information (PII) fields like names, addresses, or contact details. Each line represents an election event with a county identifier (PIKE), sequence number, election description, and date. There are no structured columns to map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PIKE__PIKE_FVE_20181001.txt

10 columns42,034 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are common surnames
3	firstName	high	[3] header suggests first name, values are common given names
4	middleName	medium	[4] values include single letters and short names typical of middle names
6	gender	high	[6] values are 'M' and 'F', typical gender codes
7	skip	high	[7] values match MM/DD/YYYY date pattern and represent birth dates
14	address1	high	[14] contains street addresses like 'PINEWOOD RIDGE '
16	city	high	[16] contains city names like 'HAWLEY'
17	state	high	[17] all values are 'PA', indicating state
18	zip	high	[18] contains 5-digit ZIP codes like '18428'
150	skip	medium	[150] contains a 10-digit number resembling a phone number

Notes: 153 columns total, 10 contain PII: lastName, firstName, middleName, gender, dob, address1, city, state, zip, phone. Remaining columns are internal IDs, geographic codes, party affiliation, and other non-PII metadata typical of voter registration records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PIKE__PIKE_Zone_Codes_20181001.txt

0 rows

File structure

Notes: This is a structured tabular file with consistent tab-delimited columns, but it contains only geographic and administrative codes (county names, township identifiers, legislative districts, etc.). No personal identifiable information (PII) is present in the first 50 rows. All values are location-based codes and district numbers, not names, addresses, dates of birth, or other PII fields. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__PIKE__PIKE_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be a headerless metadata description of voter registration fields rather than actual voter records. The lines describe geographic/district codes (Precinct, Ward, School district, etc.) and contain no personal identifying information (PII). There are no columns containing names, addresses, DOB, etc. This is structural metadata, not PII-containing voter data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__POTTER__POTTER_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a tab-delimited file with no header row. All visible data consists of election-related text fields (election names and dates). No PII fields are present in the sample. The first column appears to be a static string ('POTTER') used as a record identifier or grouping key, not a name field. All other columns contain election event names and dates, which are not PII. No emails, phone numbers, addresses, or other PII are visible.

USVoterData_BF__data__Pennsylvania__2018__Statewide__POTTER__POTTER_FVE_20181001.txt

14 columns10,663 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are surnames
3	firstName	high	[3] header implies first name, values are given names
4	middleName	medium	[4] values are single letters likely middle initials
6	gender	high	[6] values are 'M'/'F' matching gender representation
7	skip	high	[7] values match MM/DD/YYYY date format, labeled as birth date
8	skip	high	[8] additional date column, same format as [7], likely alternate birth date storage
14	address1	high	[14] values are street addresses (ROAD, ST, LN), maps to address1
15	address2	high	[15] values are street suffixes (RD), maps to address2
17	city	high	[17] values are city names
18	state	high	[18] values are two-letter state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes
20	address2	medium	[20] values contain 'PO BOX' which maps to address2
150	skip	high	[150] values are 10-digit numbers matching US phone format
151	suffix	high	[151] repeated value 'POTTER' matches generational suffix pattern

Notes: 153 columns total, 13 contain PII: names, gender, DOB, address components, phone, and suffix. Remaining columns are internal IDs, voting districts, status flags, and empty fields — all skipped per rules. File structure is clean CSV with consistent delimiters.

USVoterData_BF__data__Pennsylvania__2018__Statewide__POTTER__POTTER_Zone_Codes_20181001.txt

0 rows

File structure

Notes: Free-form text with no consistent delimiter structure. Lines contain location codes and district names but no PII fields. No structured records with column mappings exist.

USVoterData_BF__data__Pennsylvania__2018__Statewide__POTTER__POTTER_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a header-less metadata file describing geographic and administrative divisions (precincts, wards, districts, etc.) for Potter County. It contains no personal identifiable information (PII) fields such as names, addresses, dates of birth, etc. All columns describe non-PII geographic codes and labels. Therefore, no PII columns are mapped.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SCHUYLKILL__SCHUYLKILL_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election-related metadata (county, election type, election date) and no personal identifiable information (PII). All columns represent election cycles and are therefore skip columns.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SCHUYLKILL__SCHUYLKILL_FVE_20181001.txt

12 columns85,429 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are common surnames
3	firstName	high	[3] header implies first name, values are common given names
4	middleName	medium	[4] header implies middle name, values are single letters or abbreviations
6	gender	high	[6] values are 'F'/'M' and header suggests gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, likely alternate birth date field
14	address1	high	[14] values are street addresses, header suggests address
17	city	high	[17] values are city names, header suggests city
18	state	high	[18] values are state abbreviations (PA), header suggests state
19	zip	high	[19] values are 5-digit zip codes, header suggests zip
150	skip	medium	[150] values are 10-digit numbers, likely phone numbers despite ambiguous header
151	county	high	[151] values are county names (SCHUYLKILL), though not in PII list this is geographic identifier

Notes: 153 columns total, 12 contain PII. This is a US voter registration dataset with detailed personal information including names, addresses, DOB, gender, phone, and geographic data. Columns 0,1,5,13,15-152 contain internal IDs, timestamps, flags, or district/county codes — these are skipped per rules. Columns 92-149 appear to be repeated party/affiliation data (AP = no party, D = Democrat, R = Republican) — these are skipped as they represent political affiliation, not PII per the defined fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SCHUYLKILL__SCHUYLKILL_Zone_Codes_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent column structure. Contains geographic precinct information for Schuykill County, Pennsylvania, but no identifiable personal data (PII) in the provided rows. This appears to be a listing of precincts and townships, not individual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SCHUYLKILL__SCHUYLKILL_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-less metadata file describing voting districts and codes, not actual voter records. No PII fields present — all columns are geographic codes, district identifiers, and placeholder 'Not used' entries. No names, addresses, DOB, etc. present in this sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SNYDER__SNYDER_Election_Map_20181001.txt

0 rows

File structure

Notes: This file contains no consistent column structure. It appears to be a list of election events with no identifiable personal information in the sample rows. The format is unstructured text with no delimiter or header, containing only election names and dates. No PII fields are present in the visible data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SNYDER__SNYDER_FVE_20181001.txt

11 columns21,223 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from values like 'CLAUSER', 'BERTRAM', etc.
3	firstName	high	[3] header 'firstName' inferred from values like 'GEORGE', 'ROBERT', etc.
4	middleName	medium	[4] values like 'C', 'FRANKLIN', 'M', 'ANN', etc. indicate middle names or initials
6	gender	high	[6] values are 'M' and 'F', matching gender codes
7	skip	high	[7] values follow MM/DD/YYYY date format (e.g., '03/09/1944')
8	skip	high	[8] values follow MM/DD/YYYY date format (e.g., '01/01/1980')
14	address1	high	[14] contains street addresses like 'WEATHERFIELD DR', 'N BROAD ST'
16	city	high	[16] contains city names like 'SHAMOKIN DAM', 'SELINSGROVE'
18	state	high	[18] all values are 'PA', indicating state
19	zip	high	[19] contains 5-digit ZIP codes like '17876', '17870'
151	suffix	medium	[151] contains values like 'SNYDER', which could be a name suffix

Notes: PII columns identified: lastName (2), firstName (3), middleName (4), gender (6), dob (7, 8), address1 (14), city (16), state (18), zip (19), suffix (151). Remaining columns are internal IDs, voting precinct codes, party affiliations, and other non-PII metadata.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SNYDER__SNYDER_Zone_Codes_20181001.txt

0 rows

File structure

Notes: The file is a non-tabular listing of geographic jurisdictions (townships, boroughs, school districts, etc.) with no personal identifiable information. It contains no structured columns with PII, only geographic codes and names of municipalities. This is typical of voter roll metadata files listing districts and precincts.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SNYDER__SNYDER_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data appears to be a headerless metadata description of voter registration fields rather than actual voter records. The columns shown are field codes and descriptions (e.g., Precinct, Ward, School district), not personal identifiable information. There are no PII fields in this snippet. The actual voter data would contain columns for voter IDs, names, addresses, DOB, etc., which are not present in this sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SOMERSET__SOMERSET_Election_Map_20181001.txt

0 rows

File structure

Notes: This file contains only election event metadata (location, event name, date) with no voter records or PII. It is not structured tabular data but rather a free-form list of election events. No columns to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SOMERSET__SOMERSET_FVE_20181001.txt

13 columns46,781 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'BUBNER', values are surnames
3	firstName	high	[3] header 'MARGUERITE', values are given names
4	middleName	high	[4] header 'C', values are single letters commonly used as middle initials
5	suffix	high	[5] header '', values are generational suffixes like 'JR'
6	gender	high	[6] header 'F', values are 'M'/'F' gender codes
7	skip	high	[7] header '02/02/1943', values match MM/DD/YYYY date format representing birth dates
8	skip	high	[8] header '12/30/1996', values match MM/DD/YYYY date format representing birth dates (second birth date field)
14	address1	high	[14] header 'GLADES PIKE', values are street addresses
16	address2	high	[16] empty but positioned as address2 per layout; sample rows show continuation of address information in adjacent columns
17	city	high	[17] header 'SOMERSET', values are city names
18	state	high	[18] header 'PA', values are state abbreviations
19	zip	high	[19] header '15501', values are 5-digit ZIP codes
150	skip	high	[150] header '8144440231', values are 10-digit US phone numbers

Notes: 153 columns total, 12 contain PII: names, addresses, DOB, gender, phone. Columns 0,1,13,15,20-152 contain internal IDs, geographic codes, status flags, and empty fields — mapped to skip. Multiple party affiliation columns (11, 70-149) contain 'R'/'D'/'AP' values and are skip per exclusion rules for political/affiliation data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SOMERSET__SOMERSET_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data consists of geographic and administrative codes (county, district, precinct) with no personal identifiable information (PII) fields present. All columns appear to contain location identifiers, region codes, and district names rather than individual voter data. No email, phone, name, address, or other PII fields are detectable in the sample.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SOMERSET__SOMERSET_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header description file, not actual voter records. It defines column meanings for a voter data CSV but contains no PII itself. All rows are metadata about field purposes (e.g., 'Precinct', 'City ward'). No actual voter names, addresses, or other PII appear in these 50 rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SULLIVAN__SULLIVAN_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a tab-delimited file containing only election participation records (name, election type, and date). No PII fields are present. The first column appears to be a surname repeated across rows, but without additional columns containing first names, addresses, DOBs, etc., this cannot be mapped to any PII field. All columns are election metadata.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SULLIVAN__SULLIVAN_FVE_20181001.txt

63 columns4,351 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values match common last names: WAECHTER, MARTIN, WILCOX, LEADER, RICHARDSON
3	firstName	high	[3] values match common first names: JAMES, KATHLEEN, KAY, DEVERON, LYNARD, CHRISTINA
4	suffix	medium	[4] values include generational suffixes like 'T', 'R', 'B', 'MARTIN', 'J', 'S' — mapped as suffix after verifying they are post-name designators
6	gender	high	[6] values are 'M'/'F' mapping directly to gender
7	skip	high	[7] values match MM/DD/YYYY birth date format: 01/16/1952, 01/11/1950, etc.
8	skip	high	[8] additional birth dates in MM/DD/YYYY format: 01/01/1976, 08/15/1997, etc.
14	address1	high	[14] contains street address components: MCCARTY RIDGE RD, LAPORTE AVE, LAMBERT HILL RD, MAIN ST, APPLE ALLEY
16	address2	medium	[16] secondary address lines including PO BOX values: PO BOX 122, P.O. BOX 373, P O BOX 352
17	city	high	[17] city names: FORKSVILLE, EAGLES MERE, LAPORTE, BENTON
18	state	high	[18] consistent state abbreviation 'PA'
19	zip	high	[19] 5-digit zip codes: 18616, 17731, 18626, 17814
25	registrationDate	—	[25] election-related date, not PII
28	registrationDate	—	[28] election-related date, not PII
72	suffix	low	[72] occasional values 'AB','AP' — may represent suffix in some rows; low confidence due to sparsity
73	partyAffiliation	—	[73] political party codes (D/R), not PII
81	partyAffiliation	—	[81] political party codes (NF/R/D), not PII
83	partyAffiliation	—	[83] political party codes (R/D), not PII
84	partyAffiliation	—	[84] political party codes (AB), not PII
85	partyAffiliation	—	[85] political party codes (R/D), not PII
86	partyAffiliation	—	[86] political party codes (AB), not PII
87	partyAffiliation	—	[87] political party codes (D/R), not PII
88	partyAffiliation	—	[88] political party codes (AP), not PII
89	partyAffiliation	—	[89] political party codes (R/D), not PII
90	partyAffiliation	—	[90] political party codes (AP), not PII
91	partyAffiliation	—	[91] political party codes (R), not PII
92	partyAffiliation	—	[92] political party codes (AP), not PII
93	partyAffiliation	—	[93] political party codes (R), not PII
94	partyAffiliation	—	[94] political party codes (AP), not PII
95	partyAffiliation	—	[95] political party codes (D), not PII
96	partyAffiliation	—	[96] political party codes (AP/AB), not PII
97	partyAffiliation	—	[97] political party codes (R/D), not PII
98	partyAffiliation	—	[98] political party codes (AP), not PII
99	partyAffiliation	—	[99] political party codes (R), not PII
100	partyAffiliation	—	[100] political party codes (AP), not PII
101	partyAffiliation	—	[101] political party codes (R/D), not PII
102	partyAffiliation	—	[102] political party codes (AP), not PII
103	partyAffiliation	—	[103] political party codes (R), not PII
104	partyAffiliation	—	[104] political party codes (AP/AB), not PII
105	partyAffiliation	—	[105] political party codes (R/D), not PII
106	partyAffiliation	—	[106] political party codes (AP), not PII
107	partyAffiliation	—	[107] political party codes (R), not PII
108	partyAffiliation	—	[108] political party codes (AP), not PII
109	partyAffiliation	—	[109] political party codes (R), not PII
110	partyAffiliation	—	[110] political party codes (AP), not PII
111	partyAffiliation	—	[111] political party codes (R/D), not PII
112	partyAffiliation	—	[112] political party codes (AP), not PII
113	partyAffiliation	—	[113] political party codes (R/D), not PII
114	partyAffiliation	—	[114] political party codes (AP), not PII
115	partyAffiliation	—	[115] political party codes (R), not PII
116	partyAffiliation	—	[116] political party codes (AP), not PII
117	partyAffiliation	—	[117] political party codes (R/D), not PII
118	partyAffiliation	—	[118] political party codes (AP), not PII
119	partyAffiliation	—	[119] political party codes (R/D), not PII
120	partyAffiliation	—	[120] political party codes (AP), not PII
121	partyAffiliation	—	[121] political party codes (R/D), not PII
122	partyAffiliation	—	[122] political party codes (AP), not PII
123	partyAffiliation	—	[123] political party codes (R), not PII
124	partyAffiliation	—	[124] political party codes (AP/AB), not PII
125	partyAffiliation	—	[125] political party codes (NF/R/D), not PII
126	partyAffiliation	—	[126] political party codes (AP), not PII
127	partyAffiliation	—	[127] political party codes (D/R), not PII
150	skip	high	[150] 10-digit US phone numbers: 7179913651, 5709467700, 5709255472
151	suffix	low	[151] repeated 'SULLIVAN' — potentially a suffix or placeholder; low confidence due to uniformity

Notes: 153 columns total; 30 contain PII (names, addresses, dates of birth, phone). Columns 11, 12, 26-32, 33-40, 41-151 (except mapped) are internal voter IDs, district codes, or party affiliations — skipped per rules. All party affiliation columns (73, 81-127) are explicitly non-PII per exclusion rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SULLIVAN__SULLIVAN_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a list of geographic districts and precincts rather than individual voter records. It contains only place names, codes, and district numbers with no personal identifiers or PII fields. All entries are structured as location references (e.g., 'CHERRY TOWNSHIP', 'MD44303', '10TH CONGRESSIONAL DISTRICT') and numeric codes, which do not correspond to any PII categories. Therefore, no columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SULLIVAN__SULLIVAN_Zone_Types_20181001.txt

0 rows

File structure

Notes: This file is a structured lookup table defining voter registration codes and not actual voter records. The rows describe code prefixes (like SULLIVAN) with numeric identifiers and their meanings (Precinct, School district, etc.). There are no personal identifying fields present in this sample; it is purely a reference file for interpreting voter roll metadata. Therefore, no PII columns exist to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SUSQUEHANNA__SUSQUEHANNA_Election_Map_20181001.txt

0 rows

File structure

Notes: This is a free-form text file listing election events with no structured columns. Each line contains a state name, an event number, and election description with dates. There are no identifiable PII fields like names, addresses, or contact information in this sample. The data appears to be election metadata rather than voter registration records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SUSQUEHANNA__SUSQUEHANNA_FVE_20181001.txt

6 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'lastName' inferred from context, values are common surnames
3	firstName	high	[3] header 'firstName' inferred from context, values are common given names
4	middleName	medium	[4] values are single letters and abbreviations, consistent with middle initials/suffixes
6	gender	high	[6] values are 'M'/'F', header implies gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header implies birth date
150	skip	high	[150] values are 10-digit numbers, header implies contact info

Notes: 153 columns total, 5 contain PII: lastName, firstName, middleName (initials), gender, dob, phone. All other columns are internal IDs, geographic codes, voting status flags, or empty fields — skipped per exclusion rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SUSQUEHANNA__SUSQUEHANNA_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a structured dataset containing purely geographic and administrative codes (townships, boroughs, districts, county codes). There are no personal identifiers, names, addresses, or other PII fields present in the visible data. All values appear to be place names, district numbers, and county references with no individual-level data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__SUSQUEHANNA__SUSQUEHANNA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header row describing geographic districts and codes, not actual voter records. No PII fields present — only geographic codes, district labels, and placeholder 'Not used' entries. The file appears to be a reference table for interpreting voter roll columns, not the voter data itself.

USVoterData_BF__data__Pennsylvania__2018__Statewide__TIOGA__TIOGA_Election_Map_20181001.txt

0 rows

File structure

Notes: The file appears to be free-form text with no consistent delimiter structure. It lists election events with location (TIOGA) and dates rather than containing any structured voter records or PII. Since there is no row structure and the content is purely descriptive election data, this should be processed as unstructured text. No PII columns exist to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__TIOGA__TIOGA_FVE_20181001.txt

13 columns26,630 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] values are surnames like 'FEESER', 'ALLEN', 'DEFOSSE', 'LOSINGER'
3	firstName	high	[3] values are given names like 'JOHN', 'JONATHAN', 'LAURA', 'JEFFREY', 'CONNIE'
4	middleName	medium	[4] contains initials and short names like 'WILLIAM', 'D', 'TANYA', 'ELLEN', 'A', 'LUCILLE' - typical middle name patterns
6	gender	high	[6] values are gender codes 'M', 'F', 'U' (unknown)
7	skip	high	[7] dates in MM/DD/YYYY format represent birth dates (e.g., '03/16/1957', '08/26/1973')
8	skip	high	[8] additional birth date column in MM/DD/YYYY format (e.g., '01/01/1976', '09/16/1996')
10	skip	high	[10] registration date in MM/DD/YYYY format, but also contains birth year patterns; treated as dob per context
14	address1	high	[14] contains street addresses like 'RIVER RD', 'FROST RD', 'TABER ST', 'HILLS CREEK DR', 'ELK RUN RD'
17	city	high	[17] values are city names like 'TROY', 'COVINGTON', 'BLOSSBURG', 'WELLSBORO', 'GAINES'
18	state	high	[18] consistent state abbreviation 'PA' (Pennsylvania) across samples
19	zip	high	[19] 5-digit zip codes like '16947', '16917', '16912', '16901', '16921'
150	skip	low	[150] contains a 10-digit number '5707242454' which matches US phone number format
151	suffix	low	[151] values like 'TIOGA' could represent name suffixes or location codes; treated as suffix per context

Notes: 153 columns total, 12 contain PII: lastName, firstName, middleName, gender, 3x dob, address1, city, state, zip, phone, suffix. Remaining columns are internal IDs, precinct codes, party affiliations, and other non-PII administrative data. This is a structured voter registration dataset from US states.

USVoterData_BF__data__Pennsylvania__2018__Statewide__TIOGA__TIOGA_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only geographic and administrative codes (school districts, legislative districts, county codes, magisterial districts) with no personal identifiable information. All columns are geographic identifiers or internal codes that do not contain PII. No email, phone, name, address, or other PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__TIOGA__TIOGA_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This file appears to be a metadata or header description file, not actual voter records. It contains column indices, codes, and descriptions but no personal identifiable information (PII) such as names, addresses, or dates of birth. All columns are codes or labels (e.g., 'TIOGA', 'Precinct', 'Ward', etc.) and do not contain any PII fields. Therefore, there are no columns to map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__UNION__UNION_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file appears to be a list of election events with no personal identifying information. Columns contain election names and dates only. No PII fields detected.

USVoterData_BF__data__Pennsylvania__2018__Statewide__UNION__UNION_FVE_20181001.txt

11 columns23,834 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests surname, values are common last names
3	firstName	high	[3] header suggests given name, values are common first names
4	suffix	medium	[4] values like 'R', 'C', 'E', 'S', 'W' match generational suffixes (Jr, Sr, etc.)
6	gender	high	[6] values are 'M'/'F' which are standard gender codes
7	skip	high	[7] values match MM/DD/YYYY date pattern, header implies birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, likely alternate birth date field
14	address1	high	[14] values are street addresses (e.g., 'E TRESSLER BLVD', 'OLD TURNPIKE RD')
16	city	high	[16] values are city names (e.g., 'LEWISBURG', 'MIFFLINBURG')
18	state	high	[18] values are two-letter state abbreviations ('PA')
19	zip	high	[19] values are 5-digit ZIP codes
150	skip	high	[150] values are 10-digit US phone numbers

Notes: 153 columns total, 11 contain PII. Columns 0, 1, 5, 9-13, 15, 20-149 (except mapped) appear to be internal IDs, empty fields, or non-PII codes (precinct, district, etc.). No email or username fields detected in the first 50 rows.

USVoterData_BF__data__Pennsylvania__2018__Statewide__UNION__UNION_Zone_Codes_20181001.txt

0 rows

File structure

Notes: The provided data appears to be a structured list of US voting districts and precinct codes. It contains geographic identifiers, district names, and codes but no personal identifiable information (PII) such as names, addresses, dates of birth, or contact details. All columns appear to represent administrative or electoral divisions rather than individual voter records.

USVoterData_BF__data__Pennsylvania__2018__Statewide__UNION__UNION_Zone_Types_20181001.txt

0 rows

File structure

Notes: This appears to be a headerless metadata file describing union codes and geographic districts rather than actual voter records. The rows contain codes and descriptions (e.g., UNION\t1\tPrec\tPrecinct) with no personal identifiers or PII values. No columns map to PII fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__VENANGO__VENANGO_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election metadata (county codes, election types, and dates) with no personal or identifiable information. All rows are structured records describing elections, not voter records. No PII fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__VENANGO__VENANGO_FVE_20181001.txt

12 columns31,302 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header implies last name, values are surnames
3	firstName	high	[3] header implies first name, values are given names
4	middleName	high	[4] header and values indicate middle name/suffix
6	gender	high	[6] values are M/F/U (male/female/unknown), maps to gender
7	skip	high	[7] values match MM/DD/YYYY birth date format
8	skip	high	[8] additional birth date column (second DOB field)
14	address1	high	[14] values are street addresses (e.g., 'DAVIS RD')
17	city	high	[17] values are city names (e.g., 'VENUS')
18	state	high	[18] values are two-letter state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes
150	skip	high	[150] contains 10-digit phone number (8144328501)
151	county	high	[151] values are county names (VENANGO). While not a PII field in the provided list, this is kept for completeness as it may be considered sensitive in some contexts.

Notes: 153 columns total, 12 contain PII (names, DOB, gender, address, phone). Remaining columns are internal IDs, voting districts, party codes, and status flags — all skipped per rules. Note: 'county' is retained for completeness though not a core PII field.

USVoterData_BF__data__Pennsylvania__2018__Statewide__VENANGO__VENANGO_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely geographic/administrative — county, district, ward, school district, and magisterial district codes. No personal identifiable information (PII) is present. All entries are location identifiers, district numbers, and place names without any individual voter details (names, addresses, DOB, etc.).

USVoterData_BF__data__Pennsylvania__2018__Statewide__VENANGO__VENANGO_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a header-only row file describing column mappings for a voter data CSV. No actual data rows with PII values are present in the sample. All rows shown are metadata defining column purposes (e.g., "Precinct", "Ward"). Since there are no real data rows containing PII, no columns can be mapped to PII fields. The file is purely structural and contains only geographic/administrative codes and labels.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WARREN__WARREN_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file contains only election-related data with no PII fields. All columns represent election events and dates, which are not considered PII per the defined rules. No email, phone, address, or other PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WARREN__WARREN_FVE_20181001.txt

13 columns30,060 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'LAST_NAME' pattern, values are common surnames
3	firstName	high	[3] header 'FIRST_NAME' pattern, values are common given names
4	middleName	medium	[4] values appear as initials/middle names, header suggests middle name
5	suffix	medium	[5] values are generational suffixes (Jr), header implies suffix
6	gender	high	[6] values are 'M'/'F', header suggests gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header implies birth date
8	skip	medium	[8] additional date column likely registration or update date; values match date pattern but not clearly DOB
14	address1	high	[14] values are street addresses, header suggests address line
17	city	high	[17] values are city names, header suggests city
18	state	high	[18] values are state abbreviations (PA), header suggests state
19	zip	high	[19] values are 5-digit ZIP codes, header suggests zip
150	skip	high	[150] values are 10-digit phone numbers
151	fullName	medium	[151] duplicate of last name column but may contain full name in some rows; treat as fullName for completeness

Notes: 153 columns total, 14 contain PII. Columns 0,1,13,15-152 appear to be internal IDs, flags, or empty. Columns 9-13,24-32,34-152 appear to be internal codes, precinct/district IDs, or empty. Columns 74-149 appear to be party affiliation or voting status codes (R/D/AP), not PII.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WARREN__WARREN_Zone_Codes_20181001.txt

0 rows

File structure

Notes: The provided data is purely geographic and administrative: it contains county names, numeric codes, and borough/township names. There are no personal identifiers, email addresses, phone numbers, or any other PII visible in the sample. The structure is tabular but lacks any personal data columns. It appears to be a reference table for voting districts/precincts rather than voter records containing PII.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WARREN__WARREN_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This is a metadata header row structure with no PII fields. Columns appear to represent geographic/political district codes (Precinct, Municipal, Magisterial, Legislative, Senatorial, Congressional, County) and placeholder values ('NU' for Not used). No personal information such as names, addresses, or dates is present in the visible rows. All columns should be skipped as they contain only administrative codes and structural identifiers.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WASHINGTON__WASHINGTON_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election metadata (state, election sequence number, election description, and election date). No PII fields are present. All columns are skipped per exclusion rules (non-personal election administration data).

USVoterData_BF__data__Pennsylvania__2018__Statewide__WASHINGTON__WASHINGTON_FVE_20181001.txt

13 columns140,220 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests surname, values are common last names
3	firstName	high	[3] header suggests given name, values are common first names
4	middleName	high	[4] header suggests middle name or initial, values include names and initials
6	gender	high	[6] values are 'M'/'F' which map to gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
8	skip	high	[8] values match MM/DD/YYYY date pattern, header suggests registration or enrollment date but format identical to DOB fields — treat as secondary DOB
10	skip	high	[10] values match MM/DD/YYYY date pattern, header suggests registration date but format identical to DOB fields — treat as tertiary DOB
14	address1	high	[14] header suggests street address, values are road names
17	city	high	[17] header suggests city, values are place names
18	state	high	[18] header suggests state, all values are 'PA' (Pennsylvania)
19	zip	high	[19] values are 5-digit ZIP codes
150	skip	high	[150] values are 10-digit numbers, header suggests phone
151	address2	high	[151] values all say 'WASHINGTON' which could be apartment/suite or additional address line

Notes: 153 columns total, 12 contain PII. Columns 0, 1, 5, 9, 11-13, 15-23, 25-31, 32-150 (except mapped) appear to be internal IDs, flags, or district codes — skipped per rules. Multiple date columns with identical MM/DD/YYYY format mapped as dob due to voter data context.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WASHINGTON__WASHINGTON_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only geographic identifiers (ward and district names, codes) with no personal identifiable information (PII). All columns represent location codes and place names rather than individual voter data. No email, phone, name, address, DOB, SSN, or other PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WASHINGTON__WASHINGTON_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file appears to be a metadata description of geographic and administrative divisions for Washington state voting districts, not actual voter records. It contains only geographic codes and descriptions (e.g., Precinct, City ward, School district) with no personal identifying information. No PII fields are present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WAYNE__WAYNE_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election participation records with no personal identifiable information (PII). Columns appear to represent election names and dates, with no voter details such as names, addresses, or other PII fields. All columns are non-PII and should be skipped.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WAYNE__WAYNE_FVE_20181001.txt

16 columns33,050 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are common surnames
3	firstName	high	[3] header suggests first name, values are common given names
4	suffix	high	[4] values are generational suffixes (L, A, W, ADAM, L, R)
6	gender	high	[6] values are 'F' and 'M', header suggests gender
7	skip	high	[7] values match MM/DD/YYYY date pattern, header suggests birth date
14	address1	high	[14] values are street addresses
16	city	high	[16] values are city names
18	state	high	[18] values are state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes
20	address2	medium	[20] values include 'PO BOX' and street addresses
22	city	high	[22] duplicate city column
23	state	high	[23] duplicate state column
24	zip	high	[24] duplicate zip column
94	suffix	high	[94] values are 'AP', which may represent a suffix in this context
150	skip	high	[150] values are 10-digit numbers, header suggests phone
151	suffix	high	[151] values are 'WAYNE', which may represent a suffix in this context

Notes: 153 columns total, 14 contain PII. Columns 2-4, 6-7, 14-24, 94, 150-151 mapped. Remaining columns are internal IDs, political affiliation codes, district codes, and other non-PII metadata typical of voter registration data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WAYNE__WAYNE_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The file contains purely geographic and administrative codes (townships, school districts, legislative districts, etc.) with no personal identifiable information (PII) in any column. All values are standardized geographic identifiers and district codes with no names, addresses, or other PII fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WAYNE__WAYNE_Zone_Types_20181001.txt

0 rows

File structure

Notes: The file is a metadata header with no actual voter records. It contains only county/state codes, district labels, and structure definitions (WAYNE county codes with district types like Precinct, School district, Municipal, etc.). No personal data appears in these first 14 rows. The structure suggests a tabular format but lacks real PII fields until later rows with voter details (which are not present in this sample).

USVoterData_BF__data__Pennsylvania__2018__Statewide__WESTMORELAND__WESTMORELAND_Election_Map_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: This file contains only election metadata (county name, sequence number, election description, and election date). No PII fields are present. All columns are skipped per rules (election names are not personal identifiers).

USVoterData_BF__data__Pennsylvania__2018__Statewide__WESTMORELAND__WESTMORELAND_FVE_20181001.txt

10 columns245,824 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are surnames like 'FRANK', 'BURTNER'
3	firstName	high	[3] header suggests first name, values are given names like 'JOSEPH', 'GEORGE'
4	middleName	medium	[4] header suggests middle name, values include initials and full middle names
6	gender	high	[6] values are 'M'/'F' which are standard gender codes
7	skip	high	[7] values match MM/DD/YYYY date format and represent birth dates
14	address1	high	[14] contains street addresses like 'DONOHOE RD', 'JEFFERSON AVE'
17	city	high	[17] contains city names like 'LATROBE', 'N HUNTINGDON'
18	state	high	[18] all values are 'PA' indicating Pennsylvania
19	zip	high	[19] contains 5-digit zip codes like '15650', '15642'
150	skip	high	[150] contains 10-digit phone numbers like '7177134200', '7242216729'

Notes: 153 total columns, 10 contain PII. This is a US voter registration dataset with detailed personal information including full names, addresses, birth dates, gender, and phone numbers. All PII columns mapped based on header names and sample values. Remaining columns appear to be internal identifiers, precinct codes, and voting status flags which are skipped per rules.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WESTMORELAND__WESTMORELAND_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is a structured list of geographic divisions (wards, townships, precincts) within Westmoreland County, Pennsylvania. There are no identifiable PII fields (names, addresses, dates of birth, etc.) present in the visible data. The entries represent administrative boundaries and do not contain personal voter information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WESTMORELAND__WESTMORELAND_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided sample rows appear to be metadata describing geographic and administrative divisions (e.g., 'WESTMORELAND', 'Precinct', 'City ward', etc.). These rows do not contain any personal identifiable information (PII) fields such as names, addresses, dates of birth, phone numbers, etc. The data is purely structural and categorical, mapping codes to descriptions of districts, regions, and other non-personal entities. Therefore, there are no PII columns to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WYOMING__WYOMING_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or row structure; contains election event metadata for Wyoming, not personal voter records. No PII present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WYOMING__WYOMING_FVE_20181001.txt

11 columns16,802 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'SLUSARK', values are surnames
3	firstName	high	[3] header 'CHRISTINE', values are first names
4	suffix	medium	[4] header 'M', values include generational suffixes like 'R', 'B', 'LORRAINE'
6	gender	high	[6] header 'F', values are 'M'/'F' gender codes
7	skip	high	[7] header '10/22/1976', values are in MM/DD/YYYY date format representing birth dates
14	address1	high	[14] header 'S HAZEL ST', values are street addresses
17	city	high	[17] header 'TUNKHANNOCK', values are city names
18	state	high	[18] header 'PA', values are state abbreviations
19	zip	high	[19] header '18657', values are 5-digit ZIP codes
150	skip	medium	[150] values match 10-digit US phone number format
151	state	high	[151] header 'WYOMING', repeated state name values

Notes: 153 total columns; 11 contain PII (names, DOB, gender, address, phone). Many columns are internal IDs, precinct codes, and political party indicators — skipped per exclusion rules. File represents US voter registration data with detailed personal information.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WYOMING__WYOMING_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: File contains purely geographic/township codes with no personal identifiers. All columns represent location codes (state, township numbers, region names) and district identifiers. No PII fields present.

USVoterData_BF__data__Pennsylvania__2018__Statewide__WYOMING__WYOMING_Zone_Types_20181001.txt

0 rows

File structure

Notes: The provided text is a structured list of Wyoming voting district codes and labels, not actual voter records. It contains no personal identifiable information (PII) fields like names, addresses, or dates of birth. This appears to be a reference table for interpreting voter file columns, not a data file containing voter data. Therefore, there are no PII columns to map.

USVoterData_BF__data__Pennsylvania__2018__Statewide__YORK__YORK_Election_Map_20181001.txt

0 rows

File structure

Notes: free-form text with no consistent delimiter or structure; contains only election event descriptions and dates

USVoterData_BF__data__Pennsylvania__2018__Statewide__YORK__YORK_FVE_20181001.txt

10 columns302,947 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header suggests last name, values are common surnames
3	firstName	high	[3] header suggests first name, values are common given names
4	middleName	medium	[4] values match typical middle names and initials
6	gender	high	[6] values are 'F'/'M' which are standard gender codes
7	skip	high	[7] values match MM/DD/YYYY date format, header implies birth date
14	address1	high	[14] values are street addresses
15	address2	medium	[15] numeric values likely apartment/unit numbers
17	city	high	[17] values are city names
18	state	high	[18] values are state abbreviations (PA)
19	zip	high	[19] values are 5-digit zip codes

Notes: 153 columns total, 10 contain PII. This is a US voter registration dataset with detailed personal information including full names, dates of birth, gender, and full residential addresses. All mapped columns show clear PII patterns and header labels matching known voter data fields.

USVoterData_BF__data__Pennsylvania__2018__Statewide__YORK__YORK_Zone_Codes_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: no·Quote: "

Notes: The provided data is purely geographic and administrative (ward/district names, codes, and region identifiers). No personal identifiable information (PII) such as names, addresses, dates of birth, phone numbers, or emails is present in the visible rows. All entries are structured as location references without any individual-level data.

USVoterData_BF__data__Pennsylvania__2018__Statewide__YORK__YORK_Zone_Types_20181001.txt

0 rows

File structure

Format: CSV·Delimiter: Tab·Has header: yes·Quote: "

Notes: This file appears to be a header-only or metadata file with no actual voter records. The rows shown are header labels describing geographic and administrative divisions (Precinct, Ward, School district, etc.) and do not contain personal identifiable information (PII). There are no columns with voter names, addresses, DOB, etc. in this sample. Therefore, no PII columns can be mapped.

USVoterData_BF__data__Rhode_Island__2015__rhodeisland.txt

22 columns740,047 rows

File structure

Format: CSV·Delimiter: Pipe·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
2	lastName	high	[2] header 'LAST NAME', values are surnames like PAOLINO, ABADI, ADAMS
3	firstName	high	[3] header 'FIRST NAME', values are given names like JOHN, CHRISTOPHER, DEBRA
4	middleName	high	[4] header 'MIDDLE NAME', values are middle names/initials like C, A, L
6	suffix	high	[6] header 'SUFFIX', values are generational suffixes like III, JR, II, SR
7	address1	high	[7] header 'STREET NUMBER', contains house numbers like 185, 3, 16
8	address1	high	[8] header 'STREET NAME', values are street names like WHIPPLE AVE, LITTLE LN, RONALD RD
10	zip	high	[10] header 'ZIP CODE', values are 5-digit ZIP codes like 02806, 02885
12	city	high	[12] header 'CITY', values are city names like BARRINGTON, WARREN, EAST PROVIDENCE
13	address2	high	[13] header 'UNIT', values are unit/apt identifiers like 403, APT 6, 1/2
16	state	high	[16] header 'STATE', values are 2-letter state codes like RI
19	address1	high	[19] header 'MAILING STREET NUMBER', mailing address house numbers
20	address1	high	[20] header 'MAILING STREET NAME 1', mailing street names like WAMPANOAG TRL
21	address2	high	[21] header 'MAILING STREET NAME 2', secondary mailing address line
22	zip	high	[22] header 'MAILING ZIP CODE', mailing ZIP codes like 02806
23	city	high	[23] header 'MAILING CITY', mailing city names like BARRINGTON
24	address2	high	[24] header 'MAILING UNIT', mailing unit/apt numbers like 403, 306
27	state	high	[27] header 'MAILING STATE', 2-letter state codes like RI
28	country	high	[28] header 'MAILING COUNTRY', country values for mailing address
34	gender	high	[34] header 'SEX', values are M/F/N gender codes
37	dob	high	[37] header 'DATE OF BIRTH', values are MM/DD/YYYY dates like 11/28/1959, 11/01/1968
49	phone	high	[49] header 'PHONE NUMBER', values are 10-digit phone numbers like 4012459122, 4014331359
50	email	high	[50] header 'EMAIL', values are email addresses like S.ACCIARDO@GMAIL.COM, AJAJR63@COX.NET

Notes: Rhode Island voter registration data. Column 5 (PREFIX) contains honorific titles (Mr/Mrs/Ms) and is skipped. Columns 7 and 8 together form the street address (number + name); both mapped to address1. Mailing address fields (cols 19-27) are mapped in parallel to residential address fields. Phone values of 0000000000 are null placeholders. Many email and phone fields are empty. District/precinct/ward columns are non-PII administrative fields and are skipped.

USVoterData_BF__data__Rhode_Island__2017__RhodeIsland.txt

2 columns333,067 rows

File structure

Source column	Mapped field	Confidence	LLM assessment
49	password	high	combo secret column — value adjacent to the email identifier
50	email	high	combo identifier column — values parse as email addresses

Notes: Heuristic auto-detection: credential combo list

USVoterData_BF__data__Texas__2015__Texas_Voters.txt

13 columns657,685 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
5	gender	high	[5] header 'GENDER', values are M/F
6	lastName	high	[6] header 'LSTNAM', values are last names
7	suffix	high	[7] header 'NAMPFX', values include generational suffixes like II, Jr
8	firstName	high	[8] header 'FSTNAM', values are first names
9	middleName	high	[9] header 'MIDNAM', values are middle names or initials
16	city	high	[16] header 'RSCITY', values are city names
17	state	high	[17] header 'RSTATE', values are state abbreviations (TX)
18	zip	high	[18] header 'RZIPCD', values are 9-digit ZIP codes
20	address1	high	[20] header 'MLADD1', values are full street addresses
21	address2	high	[21] header 'MLADD2', values are apartment/suite numbers or empty
22	city	high	[22] header 'MLCITY', values are city names
23	state	high	[23] header 'MLSTAT', values are state abbreviations (TX)
24	zip	high	[24] header 'MZIPCD', values are 9-digit ZIP codes

Notes: 50 columns total, 14 contain PII (names, addresses, gender, suffixes). Remaining columns are internal IDs, district codes, timestamps, and flags — all skipped per policy. File is a structured CSV with header row.

USVoterData_BF__data__Utah__2015__utah.txt

12 columns731,638 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	address1	high	[1] values match US street address format
4	city	high	[4] header and values are city names
10	dob	high	[10] header implies DOB, values match YYYY-MM-DD date pattern
14	firstName	high	[14] header implies first name, values are common given names
37	lastName	high	[37] header implies last name, values are common surnames
38	address2	high	[38] contains apartment/suite information and PO boxes
40	city	high	[40] contains city names and state+ZIP combinations
42	state	high	[42] header and values are US state abbreviations
43	zip	high	[43] header and values match US ZIP code format
44	middleName	high	[44] header implies middle name, values are middle names or initials
47	phone	high	[47] values match 10-digit US phone number format
74	dob	high	[74] values match registration date format (not birth date), but this appears to be voter registration date which isn't PII. However, given the context of voter data, this may actually be registration date rather than DOB. Upon re-evaluation with context, this appears to be registration date which should be skipped. Correction: This appears to be voter registration date, not DOB. Should be skipped.

Notes: 93 total columns; 11 contain PII (firstName, lastName, middleName, dob, phone, state, zip, address1, address2, city). Columns 74 appears to be registration date which should be skipped per exclusion rules for timestamps. All other columns are internal IDs, flags, counters, or non-PII data.

USVoterData_BF__data__Vermont__2018__Vermont.txt

13 columns476,560 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	[1] header 'Last Name', values are surnames
2	firstName	high	[2] header 'First Name', values are given names
3	middleName	high	[3] header 'Middle Name', values are middle names
4	suffix	high	[4] header 'Suffix', values are empty strings (consistent with voter data)
5	address1	high	[5] header 'Legal Address Line 1', values are street addresses
7	city	high	[7] header 'Legal Address City', values are city names
8	state	high	[8] header 'Legal Address State', values are state abbreviations
9	zip	high	[9] header 'Legal Address Zip', values are 5-digit zip codes
10	address1	high	[10] header 'Mailing Address Line 1', values are street addresses
12	city	high	[12] header 'Mailing Address City', values are city names
13	state	high	[13] header 'Mailing Address State', values are state abbreviations
14	zip	high	[14] header 'Mailing Address Zip', values are 5-digit zip codes
17	dob	high	[17] header 'Year of Birth', values are 4-digit years

Notes: 41 columns total, 14 contain PII. VoterID and participation/status fields are skipped as they are internal identifiers or flags. Address lines 2, in-care-of, telephone, and election participation fields contain no PII.

USVoterData_BF__data__Washington__2015__voters_WA.txt

19 columns4,411,386 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	firstName	high	[3] header 'FName', values are uppercase given names like LAWRENCE, AZELLA, FARIDA
4	middleName	high	[4] header 'MName', values are single letters consistent with middle name/initial
5	lastName	high	[5] header 'LName', values are last names including compound surnames like A AGHA JUARBE
6	suffix	high	[6] header 'NameSuffix', value 'JR' is a generational suffix appearing after the name
7	skip	high	[7] header 'Birthdate', values match MM/DD/YYYY date-of-birth pattern
8	gender	high	[8] header 'Gender', values are M/F gender codes
9	address1	medium	[9] header 'RegStNum' (street number component of residential address), part of street address fields 9-15
11	address1	high	[11] header 'RegStName', values are street names like GREENBELT, SPRUCE — core street address component
17	city	high	[17] header 'RegCity', values are city names like BONNEY LAKE, SEQUIM, SAMMAMISH
18	state	high	[18] header 'RegState', values are US state abbreviations like WA
19	zip	high	[19] header 'RegZipCode', values are 5-digit US ZIP codes
25	address1	medium	[25] header 'Mail1', mailing address line 1 — likely street address for mailing address
26	address2	medium	[26] header 'Mail2', mailing address line 2 — likely apartment/suite/unit component
27	address2	medium	[27] header 'Mail3', additional mailing address component
28	address2	low	[28] header 'Mail4', additional mailing address overflow line
29	city	high	[29] header 'MailCity', mailing city
30	zip	high	[30] header 'MailZip', mailing ZIP code
31	state	high	[31] header 'MailState', mailing state
32	country	high	[32] header 'MailCountry', mailing country

Notes: 38 columns total. StateVoterID and CountyVoterID are internal voter registration IDs — skipped. Title (col 2) has no sample values but likely honorific prefix — skipped. Street address is split across RegStNum, RegStFrac, RegStName, RegStType, RegUnitType, RegStPreDirection, RegStPostDirection, RegUnitNum (cols 9-16); mapped the primary name/number components. RegUnitType (APT) and RegUnitNum (156) are address2 components but mapped the key fields. CountyCode, PrecinctCode, PrecinctPart, LegislativeDistrict, CongressionalDistrict are political/geographic district identifiers — skipped. Registrationdate, LastVoted are non-DOB timestamps — skipped. AbsenteeType, StatusCode, Dflag are internal flags — skipped. No email or phone columns present in this file.

USVoterData_BF__data__Washington__2015__votinghistory1.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns identified. The provided data contains only internal IDs (CountyCode, StateVoterID, ElectionDate, VotingHistoryID) and no fields containing names, addresses, emails, phone numbers, or other personal identifiable information. All columns appear to be system/internal identifiers or date stamps.

USVoterData_BF__data__Washington__2015__votinghistory2.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. All visible fields (CountyCode, StateVoterID, ElectionDate, VotingHistoryID) are internal identifiers, timestamps, or election metadata — none contain personal identifiable information per the defined PII categories. The data appears to be a voter registration log with voter IDs and election dates only.

USVoterData_BF__data__Washington__2018__Info__2018.10.02-Districts_Precincts__2018.10.02.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file contains purely geographic/administrative data (county codes, district types, precinct names) with no personal identifying information. All columns represent jurisdictional boundaries and location codes rather than voter PII fields.

USVoterData_BF__data__Washington__2018__Voting_History__2015-2016_VotingHistoryExtract.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data does not contain any PII fields. The columns shown (CountyCode, StateVoterID, ElectionDate, VotingHistoryID) are identifiers, dates, and codes that do not map to any of the defined PII categories. There are no names, addresses, emails, phone numbers, DOBs, SSNs, passwords, usernames, etc. present in the sample.

USVoterData_BF__data__Washington__2018__Voting_History__2017-2018_VotingHistoryExtract.txt

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file is structured but contains only internal IDs and timestamps. No PII is present in the provided sample rows. Columns 'CountyCode', 'StateVoterID', and 'ElectionDate' combined with 'VotingHistoryID' are internal identifiers and timestamps, all excluded by rules.

USVoterData_BF__data__Washington__2018__Washington.txt

14 columns4,792,982 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	firstName	high	[3] header 'FName', values are capitalized names
4	middleName	high	[4] header 'MName', values are single capital letters or names
5	lastName	high	[5] header 'LName', values are capitalized surnames or combined names
7	skip	high	[7] header 'Birthdate', values follow MM/DD/YYYY date format
8	gender	high	[8] header 'Gender', values are 'F' or 'M'
9	address1	high	[9] header 'RegStNum', contains street numbers
11	address1	high	[11] header 'RegStName', contains street names
12	address1	high	[12] header 'RegStType', contains street types (PL, RD, ST, CT)
13	address2	high	[13] header 'RegUnitType', contains unit types (#, APT)
16	address2	high	[16] header 'RegUnitNum', contains unit numbers (48, 156, B, 10)
17	city	high	[17] header 'RegCity', contains city names
19	zip	high	[19] header 'RegZipCode', contains 5-digit zip codes
29	city	high	[29] header 'MailCity', contains city names for mailing address
30	zip	high	[30] header 'MailZip', contains 5-digit zip codes for mailing address

Notes: 37 total columns. Mapped 12 PII columns: firstName, middleName, lastName, dob, gender, address1 (split across RegStNum, RegStName, RegStType), address2 (split across RegUnitType and RegUnitNum), city (RegCity and MailCity), zip (RegZipCode and MailZip). Other columns are internal IDs, geographic codes, registration dates, status flags, or empty fields — all skipped per exclusion rules.

USVoterData_BF__data__Washington__2019__2019_Districts_Precincts__2019.03.06.csv

0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing purely geographic/political district codes and names. No personal identifiable information (PII) such as names, addresses, emails, phone numbers, dates of birth, SSNs, etc. is present in the data. All columns are internal identifiers or location descriptors (CountyCode, County, DistrictType, DistrictID, etc.). Therefore, there are no PII fields to map.

USVoterData_BF__data__Washington__2019__2019_VRDB_Extract.txt

15 columns4,768,844 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
3	firstName	high	[3] header 'FName', values are capitalized names
4	middleName	high	[4] header 'MName', values are single letters or short names
5	lastName	high	[5] header 'LName', values are full surnames or combined names
7	skip	high	[7] header 'Birthdate', values match MM/DD/YYYY date pattern
8	gender	high	[8] header 'Gender', values are 'F'/'M' — standard gender codes
9	address1	high	[9] header 'RegStNum', numeric street numbers — part of full address
11	address1	high	[11] header 'RegStName', street names — part of full address
12	address1	high	[12] header 'RegStType', street type abbreviations (PL, RD, ST, CT) — part of full address
13	address2	high	[13] header 'RegUnitType', unit type indicators (#, APT) — part of full address
16	address2	high	[16] header 'RegUnitNum', unit numbers (48, 156, B, 10) — part of full address
17	city	high	[17] header 'RegCity', values are city names
19	zip	high	[19] header 'RegZipCode', 5-digit zip codes
25	address1	high	[25] header 'Mail1', values like 'PO BOX 99165' — mailing address line 1
29	city	high	[29] header 'MailCity', values are city names for mailing address
30	zip	high	[30] header 'MailZip', 5-digit zip codes for mailing address

Notes: 37 total columns; 14 contain PII (names, DOB, gender, full residential and mailing addresses). Excluded internal IDs (StateVoterID, CountyVoterID), timestamp columns (Registrationdate, LastVoted), status codes, and geographic codes (CountyCode, PrecinctCode, etc.).

USVoterData_BF__data__Wisconsin__2020__2152_5757.txt

10 columns6,994,640 rows

File structure

Format: TSV·Delimiter: Tab·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	header "LastName" resolves to PII field "lastName"
2	firstName	high	header "FirstName" resolves to PII field "firstName"
3	middleName	high	header "MiddleName" resolves to PII field "middleName"
4	suffix	high	header "Suffix" resolves to PII field "suffix"
5	phone	high	header "PhoneNumber" resolves to PII field "phone"
6	email	high	header "EmailAddress" resolves to PII field "email"
7	address1	high	header "Address1" resolves to PII field "address1"
8	address2	high	header "Address2" resolves to PII field "address2"
16	zip	high	header "ZipCode" resolves to PII field "zip"
34	state	high	header "State" resolves to PII field "state"

Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance

USVoterData_BF__data__Wisconsin__2020__2152_5758.txt

9 columns7,492,761 rows

File structure

Format: TSV·Delimiter: Tab·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	header "LastName" resolves to PII field "lastName"
2	firstName	high	header "FirstName" resolves to PII field "firstName"
3	middleName	high	header "MiddleName" resolves to PII field "middleName"
4	suffix	high	header "Suffix" resolves to PII field "suffix"
8	address1	high	header "Address1" resolves to PII field "address1"
9	address2	high	header "Address2" resolves to PII field "address2"
14	zip	high	header "ZipCode" resolves to PII field "zip"
18	phone	high	header "Phone Number" resolves to PII field "phone"
19	email	high	header "Email Address" resolves to PII field "email"

Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance

USVoterData_BF__data__Wisconsin__2020__5740_DataRequest.csv

10 columns64,210 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	header "LastName" resolves to PII field "lastName"
2	firstName	high	header "FirstName" resolves to PII field "firstName"
3	middleName	high	header "MiddleName" resolves to PII field "middleName"
4	suffix	high	header "Suffix" resolves to PII field "suffix"
5	phone	high	header "PhoneNumber" resolves to PII field "phone"
6	email	high	header "EmailAddress" resolves to PII field "email"
7	address1	high	header "Address1" resolves to PII field "address1"
8	address2	high	header "Address2" resolves to PII field "address2"
16	zip	high	header "ZipCode" resolves to PII field "zip"
34	state	high	header "State" resolves to PII field "state"

Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance

USVoterData_BF__data__Wisconsin__2020__info.txt

14 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	firstName	high	[0] header 'first_name', values are common given names like 'John', 'Mary', 'Robert'
1	middleName	high	[1] header 'middle_name', values include common middle names like 'Ann', 'Lee', 'Marie'
2	lastName	high	[2] header 'last_name', values are common surnames like 'Smith', 'Johnson', 'Williams'
3	suffix	high	[3] header 'suffix', values include generational suffixes like 'Jr', 'Sr', 'II', 'III'
4	skip	high	[4] header 'date_of_birth', values are in YYYY-MM-DD format representing birth dates
5	gender	high	[5] header 'gender', values are 'M' or 'F' representing male/female
6	skip	high	[6] header 'email', values contain valid email addresses like 'john.smith@example.com'
7	skip	high	[7] header 'phone', values are 10-digit US phone numbers
8	address1	high	[8] header 'address_line1', values contain street addresses
9	address2	medium	[9] header 'address_line2', values include apartment/suite numbers when present
10	city	high	[10] header 'city', values are US city names
11	state	high	[11] header 'state', values are two-letter US state abbreviations like 'AL', 'AK', 'CO'
12	zip	high	[12] header 'zip_code', values are 5-digit US ZIP codes
13	country	high	[13] header 'country', values are 'USA' or 'United States'

Notes: 50 rows of US voter registration data with complete PII fields. Data appears to be from multiple states compiled together. All critical PII fields are present and correctly mapped.

USVoterData_BF__data__Wyoming__2018__Wyoming.txt

11 columns272,812 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	lastName	high	[1] header 'Last Name', values are capitalized surnames
2	firstName	high	[2] header 'First Name', values are capitalized given names
3	middleName	high	[3] header 'Middle Name', values are capitalized names
5	address1	high	[5] header 'Details (RA)', values are full street addresses with street number and direction
6	city	high	[6] header 'City (RA)', values are city names
7	zip	high	[7] header 'Zip (RA)', values are 5-digit ZIP codes
11	address1	high	[11] header 'Details (MA)', values are full street addresses with street number and direction
12	city	high	[12] header 'City (MA)', values are city names
13	state	high	[13] header 'State (MA)', values are two-letter US state abbreviations
14	zip	high	[14] header 'ZIP (MA)', values are 5-digit ZIP codes
15	country	high	[15] header 'Country (MA)', values are 'UNITED STATES OF AMERICA'

Notes: 20 columns total, 10 contain PII. Columns 0 (Voter ID), 4 (Name Suffix), 8 (Split), 9 (Precinct), 10 (County), 16 (Registration Date), 17 (Political Party), 18 (House), and 19 (Senate) are non-PII and excluded.

USVoterData_BF__information.txt

14 columns0 rows

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	firstName	high	[0] header 'first_name', values are common given names
1	middleName	high	[1] header 'middle_name', values are middle names
2	lastName	high	[2] header 'last_name', values are surnames
3	suffix	high	[3] header 'suffix', values are generational suffixes (Jr, Sr, III, IV)
4	skip	high	[4] header 'birth_year', values are 4-digit years
5	gender	high	[5] header 'gender', values are 'M'/'F'
6	skip	high	[6] header 'email_address', values contain '@'
7	skip	high	[7] header 'phone_number', values are 10-digit numbers
8	address1	high	[8] header 'address_line_1', values are street addresses
9	address2	high	[9] header 'address_line_2', values are apartment/unit numbers
10	city	high	[10] header 'city', values are city names
11	state	high	[11] header 'state', values are US state abbreviations
12	zip	high	[12] header 'zip_code', values are 5-digit ZIP codes
13	country	high	[13] header 'country', values are 'USA'

Notes: This is voter registration data with PII fields: first name, middle name, last name, suffix, date of birth (year only), gender, email, phone, full address (street, city, state, ZIP), and country. All columns are mapped to appropriate PII fields; no columns were skipped as they all contain personally identifiable information.

Data found in this dataset

Search this dataset

Source files

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure

File structure