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tidycensus

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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")

To learn more about the package, please visit the package documentation at https://walker-data.com/tidycensus.

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

Update logs:

In version 0.10.2:

In version 0.9.9.2:

  • geometry = TRUE now works for all geographies currently available in tidycensus.
  • get_acs() can now support the ACS Supplemental Estimates API.

In version 0.9.5:

  • get_acs() now defaults to the 2014-2018 five-year American Community Survey estimates, or the 2018 1-year estimates if users set survey = "acs1".
  • Various improvements and bug fixes (largely thanks to Matt Herman's contributions).

In version 0.8.1:

In version 0.4.6:

  • Bug fixed that was causing GEOIDs for some states to be converted to NA on certain Linux platforms

  • A new parameter, shift_geo, allows tidycensus users to get US state and county geometry originally obtained with the albersusa R package with Alaska and Hawaii shifted and re-scaled for better cartographic display of the entire US.

library(tidycensus)
library(tidyverse)
library(viridis)

us_county_income <- get_acs(geography = "county", variables = "B19013_001", 
                            shift_geo = TRUE, geometry = TRUE)

ggplot(us_county_income) + 
  geom_sf(aes(fill = estimate), color = NA) + 
  coord_sf(datum = NA) + 
  theme_minimal() + 
  scale_fill_viridis_c()

income_plot

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Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R

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