PIR Data Documentation

Public Person Records Data Documentation

Civitech’s Public Person Records data is proprietary data collected from untapped public records and compared against our voter files in order to identify millions of potential voters from sources like colleges and universities, professional license holders, and public employees like teachers. These potential voters are likely not included by traditional data vendors.

File Information

Documentation Generated

08/04/25

Column Descriptions

Name

Type

Description

Coverage

id_pir

STRING

Generated unique ID

100.0%

dt_vintage

DATE

Date source file was acquired from institution

100.0%

cat_state_institution

STRING

State of the institution

100.0%

name_institution

STRING

Name of the institution

100.0%

cat_record_type

STRING

Record category

Code
CITY EMPLOYEE
COLLEGE ALUMNI
COLLEGE EMPLOYEE
COLLEGE STUDENT
COUNTY EMPLOYEE
EDUCATOR LICENSE
HBCU STUDENT
HISTORICAL SUMMER COLLEGE STUDENT
K-12 EMPLOYEE
K-12 PARENT
K-12 STUDENT
MEDICAL LICENSE
RECREATIONAL LICENSE
SALES TAX PAYEE
STATE EMPLOYEE
SUMMER COLLEGE STUDENT
TAX EXEMPTION OWNER
TRADE LICENSE
VETERINARY LICENSE
VOTER PURGE LIST

100.0%

cat_voter_status

STRING

Voter registration status

Status	Description
ACTIVE	A voter that is able to vote on a regular ballot.
NOT ACTIVE	A term that is often used differently across states. It can mean a registrant that in some states may be able to vote on a regular ballot. In others, they may be missing a step required by the SOS to vote on a regular ballot.
NOT REPORTED	State does not provide a registration status.
REMOVED	Voter no longer appears on the state’s voter file.
UNKNOWN	We are not able to determine the person’s registration status.
UNREGISTERED	Person is not registered to vote.

100.0%

name_first

STRING

Upper-cased first name, stripped of special characters

100.0%

name_middle

STRING

Upper-cased middle name, stripped of special characters

58.6%

name_last

STRING

Upper-cased last name, stripped of special characters

100.0%

name_suffix

STRING

Upper-cased name suffix, stripped of special characters

0.5%

dt_birth

DATE

Birth date when available in format ‘YYYY-MM-DD’

25.5%

demo_gender

STRING

Gender when available

Code
FEMALE
MALE
UNKNOWN

100.0%

cat_confidence_gender

STRING

Confidence of gender flag

Code
PROVIDED
IMPUTED

100.0%

demo_race

STRING

Race when available, otherwise Civitech modeled race

84.5%

cat_confidence_race

STRING

Confidence of race flag

Code
PROVIDED
HIGH (MODELED)
MEDIUM (MODELED)
LOW (MODELED)

84.5%

score_race

FLOAT64

Civitech modeled race

70.1%

score_support_gen_dem

FLOAT64

Civitech modeled likelihood to support a generic democrat

71.9%

has_moved

BOOL

Indicates the person has moved from the address provided

41.7%

addr_address_primary

STRING

Address component: house number, street name, and street suffix

82.7%

addr_city_primary

STRING

Address component: city

82.7%

addr_state_primary

STRING

Address component: state

82.7%

addr_zip_primary

STRING

Address component: zipcode

82.7%

addr_county_primary

STRING

Address component: county name

82.5%

addr_address_secondary

STRING

Address component: house number, street name, and street suffix

3.0%

addr_city_secondary

STRING

Address component: city

3.0%

addr_state_secondary

STRING

Address component: state

3.0%

addr_zip_secondary

STRING

Address component: zipcode

3.0%

dist_congressional

STRING

Congressional District

82.5%

dist_state_senate

STRING

State Senate District

82.5%

dist_state_house

STRING

State House District

82.1%

dist_precinct

STRING

Precinct (electoral)

82.5%

phone1

STRING

Phone

54.7%

phone2

STRING

Phone

3.0%

email1

STRING

55.4%

email2

STRING

4.2%

_int_fips

INT64

State fips code of primary address. (Not included in exported file cuts)

82.7%

_int_fips_institution

INT64

State fips code of institution. (Not included in exported file cuts)

100.0%