People

voters_modeling

This is a variety of our core voters table, optimized for data science use cases.

Schema

Column Description
state State abbreviation
voterbase id Unique voter ID
state county fips State and county fips code, 5 digits
yob Month and year of birth formatted as 4 digit integer (YYYY). YOB comes from voter registration data and commercial data. Some states truncate DOB to the first of the year making YOB better for matching in those cases.
age Voter's age by end of current year, calculated by current_year - YOB
years reg Number of years since registration date
gender female Binary if voter is female
gender male Binary if voter is male
eth aapi One hot encoded column based on voterfile and modeled ethnicity
eth black One hot encoded column based on voterfile and modeled ethnicity
eth latino One hot encoded column based on voterfile and modeled ethnicity
eth native american One hot encoded column based on voterfile and modeled ethnicity
eth other One hot encoded column based on voterfile and modeled ethnicity
eth white One hot encoded column based on voterfile and modeled ethnicity
eth voterfile Binary flag if ethnicity is on the voterfile (1) or modeling (0)
modeled race aapi Indigo race model, score from 0-1 with the probability that a voter is AAPI
modeled race black Indigo race model, score from 0-1 with the probability that a voter is Black
modeled race latino Indigo race model, score from 0-1 with the probability that a voter is Hispanic or Latino/a
modeled race native american Indigo race model, score from 0-1 with the probability that a voter is Native American
modeled race white Indigo race model, score from 0-1 with the probability that a voter is White
party dem Binary flag if voter is a registered Democrat
party rep Binary flag if voter is a registered Republican
party voterfile Binary flag if voter has party registration on the voterfile
reg lat Registration address latitude
reg long Registration address longitude
fec hh contribution count rep Total number of FEC contributions to Republicans in the household
fec hh contribution count dem Total number of FEC contributions to Democrats in the household
fec hh contribution count total Total number of FEC contributions in the household
fec hh contribution pct dem Percent of FEC contributions in the household made to Democrats
ts model education college graduate TargetSmart education model. Predicts the likelihood that an individual has attained a college-level or higher education. Scores are expressed from 0-1. A higher score represents a higher probability that a person's education level is college graduate or higher.
ts model education high school only TargetSmart education model. Predicts the likelihood that an individual has not attained formal education beyond high school. Scores are expressed from 0-1. A higher score represents a higher probability that a person's education level is high school or lower.
ts model religion catholic TargetSmart religion score. Predicts the likelihood that a voter identifies as Catholic. Scores are expressed from 0-1. A higher score indicates a higher likelihood to identify as Catholic.
ts model religion evangelical TargetSmart religion score. Predicts the likelihood that a voter identifies as Evangelical. Scores are expressed from 0-1. A higher score indicates a higher likelihood to identify as Evangelical.
ts model religion jewish TargetSmart religion score. Predicts the likelihood that a voter identifies as Jewish. Scores are expressed from 0-1. A higher score indicates a higher likelihood to identify as Jewish.
ts model religion mormon TargetSmart religion score. Predicts the likelihood that a voter identifies as Mormon. Scores are expressed from 0-1. A higher score indicates a higher likelihood to identify as Mormon.
ts model gunowner TargetSmart gun owner score. Predicts the likelihood that an individual supports stricter gun control laws. Scores are expressed from 0-1. A higher score indicates a higher likelihood that a person supports stricter gun control laws.
ts model veteran TargetSmart veteran score. Predicts the likelihood that an individual is a military veteran or an active service member. Scores are expressed from 0-1. A higher score predicts a higher likelihood that the individual is a military veteran or an active service member.
ts model ideology score TargetSmart ideology score. Predicts the likelihood that an individual supports liberal ideology. Scores are expressed from 0-1. A value of 1 represents those most likely (very liberal) and 0 represents those least likely (very conservative).
ts model children present score TargetSmart children present score. Predicts the likelihood that a voter lives in a household with children. Scores are expressed from 0-1. A higher score represents a higher probability that a person lives in a household with children.
ts model marriage TargetSmart marriage score. Predicts the likelihood that an individual is married. Scores are expressed from 0-1. A higher score represents a higher probability that a person is married.
ts model income rank TargetSmart high income score. Predicts the likelihood that an individual has an income over $100,000. Scores are expressed from 0-1. A higher score represents a higher probability that a person would self-report income greater than $100,000.
ts model homeowner TargetSmart homeowner score. Predicts the likelihood that an individual owns a home. Scores are expressed from 0-1. A higher score represents a higher probability that person owns a home.
modeled turnout midterm primary Indigo midterm primary turnout model, score from 0-1 with the probability that a voter will turn out to vote in a midterm primary election
modeled turnout midterm general Indigo midterm general turnout model, score from 0-1 with the probability that a voter will turn out to vote in a midterm general election
modeled turnout presidential primary Indigo presidential primary turnout model, score from 0-1 with the probability that a voter will turn out to vote in a presidential primary election
modeled turnout presidential general Indigo presidential general turnout model, score from 0-1 with the probability that a voter will turn out to vote in a presidential general election
modeled age Voter's age by end of current year, calculated by current_year - YOB, modeled if DOB is missing
modeled dem partisanship Indigo partisanship model, score from 0-1 with the probability that a voter indentifies as a Democrat
census tract 2020 Census tract ID, 13 digits formatted as a string
census tract median income Median income in census tract
census tract median rent Median rent in census tract
census blockgroup 2020 Census blockgroup ID, 16 digits formatted as a string
census blockgroup total pop Total population in census blockgroup
census blockgroup households Number of households in census blockgroup
census blockgroup n race aapi AAPI population in census blockgroup
census blockgroup n race black Black population in census blockgroup
census blockgroup n race hispanic Hispanic or Latino/a population in census blockgroup
census blockgroup n race native american Native American population in census blockgroup
census blockgroup n race white White population in census blockgroup
census blockgroup n age 0 17 Age 0-17 population in census blockgroup
census blockgroup n age 18 34 Age 18-34 population in census blockgroup
census blockgroup n age 35 49 Age 35-49 population in census blockgroup
census blockgroup n age 50 64 Age 50-64 population in census blockgroup
census blockgroup n age 65 plus Age 65+ population in census blockgroup
census blockgroup n edu less than high school Population in census blockgroup with less than a high school education
census blockgroup n edu high school Population in census blockgroup with only a high school diploma
census blockgroup n edu some college Population in census blockgroup with some college education
census blockgroup n edu college Population in census blockgroup with a four year college degree
census blockgroup n edu graduate degree Population in census blockgroup with a graduate degree
census blockgroup n income less than 25000 Population in census blockgroup with a household income less than $25,000
census blockgroup n income 25000 49999 Population in census blockgroup with a household income from $25,000-49,999
census blockgroup n income 50000 99999 Population in census blockgroup with a household income from $50,000-99,999
census blockgroup n income 100000 150000 Population in census blockgroup with a household income from $100,000-149,999
census blockgroup n income 150000 199999 Population in census blockgroup with a household income from $159,000-199,999
census blockgroup n income 200000 over Population in census blockgroup with a household income $200,000+
census blockgroup n sex male Male population in a census blockgroup
census blockgroup n sex female Female population in a census blockgroup
census blockgroup pct race aapi Percent of population in census blockgroup that identifies as AAPI
census blockgroup pct race black Percent of population in census blockgroup that identifies as Black
census blockgroup pct race hispanic Percent of population in census blockgroup that identifies as Hispanic or Latino/a
census blockgroup pct race native american Percent of population in census blockgroup that identifies as Native American
census blockgroup pct race white Percent of population in census blockgroup that identifies as White
census blockgroup pct age 0 17 Percent of population in census blockgroup that is 0-17 years old
census blockgroup pct age 18 34 Percent of population in census blockgroup that is 18-34 years old
census blockgroup pct age 35 49 Percent of population in census blockgroup that is 35-49 years old
census blockgroup pct age 50 64 Percent of population in census blockgroup that is 50-64 years old
census blockgroup pct age 64 plus Percent of population in census blockgroup that is 65+ years old
census blockgroup pct edu less than hs Percent of population in census blockgroup with less than a high school education
census blockgroup pct edu high school Percent of population in census blockgroup with only a high school diploma
census blockgroup pct edu some college Percent of population in census blockgroup with some college education
census blockgroup pct edu college Percent of population in census blockgroup with a four year college degree
census blockgroup pct edu graduate degree Percent of population in census blockgroup with a graduate degree
census blockgroup pct income 0 25k Percent of population in census blockgroup with a household income less than $25,000
census blockgroup pct income 25 50k Percent of population in census blockgroup with a household income from $25,000-49,999
census blockgroup pct income 50 100k Percent of population in census blockgroup with a household income from $50,000-99,999
census blockgroup pct income 100 150k Percent of population in census blockgroup with a household income from $100,000-149,999
census blockgroup pct income 150 200k Percent of population in census blockgroup with a household income from $159,000-199,999
census blockgroup pct income 200k plus Percent of population in census blockgroup with a household income $200,000+
census blockgroup pct sex male Percent of population in a census blockgroup that is male
census blockgroup pct sex female Percent of population in a census blockgroup that is female
census blockgroup median rent Median rent in census blockgroup
g24 reg 1 if voter was registered for specific election, 0 if not
g24 voted 1 if voter voted in a specific election, 0 if not
g24 ballot type early 1 if voter cast a ballot early in person for a specific election, 0 if not
g24 ballot type absentee 1 if voter cast an absentee ballot for a specific election, 0 if not
g24 ballot type poll vote 1 if voter cast a ballot at the polls on election day for a specific election, 0 if not
g24 ballot type unknown 1 if voter cast a ballot by an unknown or unreported method for a specific election, 0 if not
p24 party dem 1 if voter voted in a Democratic primary for a specific election, 0 if not
p24 party rep 1 if voter voted in a Republican primary for a specific election, 0 if not

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