ns_target: Nationscape Target Proportions
In aaronrudkin/autumn: Fast, Modern, and Tidy-Friendly Iterative Raking

ns_target

R Documentation

Nationscape Target Proportions

Description

A dataset containing target proportions of the demographic variables used for weighting the Democracy Fund - UCLA Nationscape survey. Targets are based on the proportions found in the 2017 ACS survey of adults over age 18, with the exception of 2016 vote choice, which comes from the FEC's 2016 election results.

Usage

ns_target

Format

A list of named vectors containing 17 items, each of which is a named numeric vector.

gender: Binary gender: "male" or "female"

region: Macro region of U.S: "Midwest", "Northeast", "South", "West"
hispanic: Hispanic ethnic self-identification: "Not Hispanic", "Mexican", "Other Hispanic"
race: Racial self-identification: "White", "Black", "AAPI" (Asian-American Pacific Islander), "Other race"
household_income: Reported household income, bracketed. Brackets: "$19,999 or less", "$20,000-$34,999", "$35,000-$49,999", "$50,000-$64,999", "$65,000-$79,999", "$80,000-$99,999", "$100,000-$124,999", "$125,000-$199,999", "$200,000 and above"
education: Level of education: "No high school diploma", "High school diploma", "Some college", "Associate's degree", "Bachelor's degree", "Graduate degree"
age: Bracketed age: "18–23", "24–29", "30–39", "40–49", "50–59", "60–69", "70+"
language: Primary language spoken at home: "English only", "Spanish", "Other language"
birthplace: Respondent birthplace: "Another country", "The United States"
urban: PUMA-level metropolitan status: "Rural", "Rural-metropolitan", "Suburban", "Urban-suburban", "Urban"
hispanic_x_language: Cross of hispanic and language
education_x_gender: Cross of education and gender
race_x_hispanic: Cross of race and hispanic
hispanic_x_education: Cross of hispanic and education
vote_2016: 2016 presidential vote: "Clinton", "Trump", "Other vote", "No vote"