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tidycensus

tidycensus is an R package that allows users to interface with the US Census Bureau's decennial Census and five-year American Community APIs and return tidyverse-ready data frames, optionally with simple feature geometry included. Install from CRAN with the following command:

install.packages("tidycensus")

For the latest updates, install from GitHub:

remotes::install_github("walkerke/tidycensus")

To learn more about the package, please visit the package documentation at https://walker-data.com/tidycensus/ or read the book Analyzing US Census Data: Methods, Maps, and Models in R at https://walker-data.com/census-r/.

Note: This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.

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Version

Install

install.packages('tidycensus')

Monthly Downloads

11,859

Version

1.6.7

License

MIT + file LICENSE

Maintainer

Kyle Walker

Last Published

October 17th, 2024

Functions in tidycensus (1.6.7)

get_pums

Load data from the American Community Survey Public Use Microdata Series API
significance

Evaluate whether the difference in two estimates is statistically significant.
tidycensus

Return tidy data frames from the US Census Bureau API
pums_variables

Dataset with PUMS variables and codes
summary_files

Identify summary files for a given decennial Census year
to_survey

Convert a data frame returned by get_pums() to a survey object
state_laea

State geometry with Alaska and Hawaii shifted and re-scaled
get_acs

Obtain data and feature geometry for the American Community Survey
get_estimates

Get data from the US Census Bureau Population Estimates Program
acs5_geography

Dataset used to identify geography availability in the 5-year ACS Detailed Tables
get_decennial

Obtain data and feature geometry for the decennial US Census
census_api_key

Install a CENSUS API Key in Your .Renviron File for Repeated Use
check_ddhca_groups

Check to see if a given geography / population group combination is available in the Detailed DHC-A file.
get_flows

Obtain data and feature geometry for American Community Survey Migration Flows
county_laea

County geometry with Alaska and Hawaii shifted and re-scaled
moe_sum

Calculate the margin of error for a derived sum
fips_codes

Dataset with FIPS codes for US states and counties
load_variables

Load variables from a decennial Census or American Community Survey dataset to search in R
interpolate_pw

Use population-weighted areal interpolation to transfer information from one set of shapes to another
moe_prop

Calculate the margin of error for a derived proportion
moe_ratio

Calculate the margin of error for a derived ratio
as_dot_density

Convert polygon geometry to dots for dot-density mapping
get_pop_groups

Get available population groups for a given Decennial Census year and summary file
moe_product

Calculate the margin of error for a derived product
mig_recodes

Dataset with Migration Flows characteristic recodes