censusapi is an accessor for the United States Census Bureau’s APIs. More than 300 Census API endpoints are available, including Decennial Census, American Community Survey, Poverty Statistics, and Population Estimates APIs. This package is designed to let you get data from all of those APIs using the same main function—getCensus—and the same syntax for each dataset.
censusapi generally uses the APIs’ original parameter names so that users can easily transition between Census’s documentation and examples and this package. It also includes metadata functions to return data frames of available APIs, variables, and geographies.
Get the latest stable release from CRAN:
You can also install the latest development version of censusapi from Github using devtools. Most people will not want to do this - BEWARE!:
To use the Census APIs, sign up for an API key, which will be sent to your provided email address. You’ll need that key to use this package. While Census currently does not require an API key for all APIs, that can change at any moment and so this package enforces key usage.
A recommended way to manage your key is to add it to you .Renviron file. Most users will want to do this. Within R, run:
# Add key to .Renviron
Sys.setenv(CENSUS_KEY=YOURKEYHERE)
# Reload .Renviron
readRenviron("~/.Renviron")
# Check to see that the expected key is output in your R console
Sys.getenv("CENSUS_KEY")Or, open your .Renviron file in a text editor and add the following line: CENSUS_KEY=YOURKEYHERE
Once you’ve added your census key to your system environment, censusapi will use it by default without any extra work on your part.
In some instances you might not want to put your key in your .Renviron - for example, if you’re on a shared school computer. You can always choose to manually set key="YOURKEY" as an argument in getCensus if you prefer.
Get uninsured rates from the Small Area Health Insurance Estimates (SAHIE) timeseries API using getCensus().
State-level data by income group within Alabama.
getCensus(name = "timeseries/healthins/sahie",
vars = c("NAME", "IPRCAT", "IPR_DESC", "PCTUI_PT"),
region = "state:01",
time = 2017)
#> time state NAME IPRCAT IPR_DESC PCTUI_PT
#> 1 2017 01 Alabama 0 All Incomes 11.0
#> 2 2017 01 Alabama 1 <= 200% of Poverty 18.3
#> 3 2017 01 Alabama 2 <= 250% of Poverty 17.3
#> 4 2017 01 Alabama 3 <= 138% of Poverty 19.4
#> 5 2017 01 Alabama 4 <= 400% of Poverty 14.5
#> 6 2017 01 Alabama 5 138% to 400% of Poverty 11.5County-level data within Alabama, specified by adding the regionin parameter.
sahie_counties <- getCensus(name = "timeseries/healthins/sahie",
vars = c("NAME", "IPRCAT", "IPR_DESC", "PCTUI_PT"),
region = "county:*",
regionin = "state:01",
time = 2017)
head(sahie_counties, n=12L)
#> time state county NAME IPRCAT IPR_DESC PCTUI_PT
#> 1 2017 01 003 Baldwin County, AL 0 All Incomes 11.3
#> 2 2017 01 001 Autauga County, AL 0 All Incomes 8.7
#> 3 2017 01 015 Calhoun County, AL 0 All Incomes 11.9
#> 4 2017 01 005 Barbour County, AL 0 All Incomes 12.2
#> 5 2017 01 007 Bibb County, AL 0 All Incomes 10.2
#> 6 2017 01 009 Blount County, AL 0 All Incomes 13.4
#> 7 2017 01 011 Bullock County, AL 0 All Incomes 11.4
#> 8 2017 01 013 Butler County, AL 0 All Incomes 11.2
#> 9 2017 01 027 Clay County, AL 0 All Incomes 13.9
#> 10 2017 01 017 Chambers County, AL 0 All Incomes 11.9
#> 11 2017 01 019 Cherokee County, AL 0 All Incomes 11.2
#> 12 2017 01 021 Chilton County, AL 0 All Incomes 13.8Retrieve annual data using the time argument by specifying a start year and stop year.
sahie_annual <- getCensus(name = "timeseries/healthins/sahie",
vars = c("NAME", "PCTUI_PT"),
region = "state:01",
time = "from 2006 to 2017")
sahie_annual
#> time state NAME PCTUI_PT
#> 1 2006 01 Alabama 15.7
#> 2 2007 01 Alabama 14.6
#> 3 2008 01 Alabama 15.3
#> 4 2009 01 Alabama 15.8
#> 5 2010 01 Alabama 16.9
#> 6 2011 01 Alabama 16.6
#> 7 2012 01 Alabama 15.8
#> 8 2013 01 Alabama 15.9
#> 9 2014 01 Alabama 14.2
#> 10 2015 01 Alabama 11.9
#> 11 2016 01 Alabama 10.8
#> 12 2017 01 Alabama 11.0Get the uninsured rate for non-elderly adults (AGECAT = 1) with incomes of 138 to 400% of the poverty line (IPRCAT = 5), by race (RACECAT) and state.
sahie_nonelderly <- getCensus(name = "timeseries/healthins/sahie",
vars = c("NAME", "PCTUI_PT", "IPR_DESC", "AGE_DESC", "RACECAT", "RACE_DESC"),
region = "state:*",
time = 2017,
IPRCAT = 5,
AGECAT = 1)
head(sahie_nonelderly)
#> time state NAME PCTUI_PT IPR_DESC AGE_DESC RACECAT RACE_DESC IPRCAT AGECAT
#> 1 2017 01 Alabama 14.6 138% to 400% of Poverty 18 to 64 years 0 All Races 5 1
#> 2 2017 02 Alaska 24.3 138% to 400% of Poverty 18 to 64 years 0 All Races 5 1
#> 3 2017 04 Arizona 16.6 138% to 400% of Poverty 18 to 64 years 0 All Races 5 1
#> 4 2017 05 Arkansas 12.4 138% to 400% of Poverty 18 to 64 years 0 All Races 5 1
#> 5 2017 06 California 13.6 138% to 400% of Poverty 18 to 64 years 0 All Races 5 1
#> 6 2017 08 Colorado 14.6 138% to 400% of Poverty 18 to 64 years 0 All Races 5 1Read more on how to build a censusapi call in Getting started with censusapi and see examples from every API in the example master list.
This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.