PIR Data Documentation

PIR Data Documentation

Civitech’s Public Information 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 05/14/24

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 56.9%
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’ 25.4%
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 82.4%
cat_confidence_race STRING

Confidence of race flag

Code
PROVIDED
HIGH (MODELED)
MEDIUM (MODELED)
LOW (MODELED)
82.4%
score_race FLOAT64 Civitech modeled race 73.5%
score_support_gen_dem FLOAT64 Civitech modeled likelihood to support a generic democrat 73.7%
has_moved BOOL Indicates the person has moved from the address provided 38.4%
addr_address_primary STRING Address component: house number, street name, and street suffix 81.0%
addr_city_primary STRING Address component: city 81.0%
addr_state_primary STRING Address component: state 81.0%
addr_zip_primary STRING Address component: zipcode 81.0%
addr_address_secondary STRING Address component: house number, street name, and street suffix 3.4%
addr_city_secondary STRING Address component: city 3.4%
addr_state_secondary STRING Address component: state 3.4%
addr_zip_secondary STRING Address component: zipcode 3.4%
phone1 STRING Phone 51.8%
phone2 STRING Phone 3.5%
email1 STRING Email 50.9%
email2 STRING Email 4.8%

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