Census API

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Author

Raul

Published

January 29, 2023

This is a post with executable code.

Census API Key Signup tidy census documentation

# install.packages("tidycensus") 
library(tidycensus)
library(tidyverse)
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
✔ ggplot2 3.4.0      ✔ purrr   0.3.5 
✔ tibble  3.1.8      ✔ dplyr   1.0.10
✔ tidyr   1.2.1      ✔ stringr 1.4.1 
✔ readr   2.1.3      ✔ forcats 0.5.2 
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
library(ggplot2)
# census_api_key(key, overwrite = FALSE, install = FALSE)

To install your API key for use in future sessions, run this function with install = TRUE. Your API key has been stored in your .Renviron and can be accessed by Sys.getenv(“CENSUS_API_KEY”)

Searching for Variables

v17 <- load_variables(2017, "acs5", cache = TRUE)
View(v17)
# First time, reload your environment so you can use the key without restarting
readRenviron("~/.Renviron")
# You can check it with:
Sys.getenv("CENSUS_API_KEY")
[1] "370f9bf4e32863dc3b34cfbce286377004481f4c"
tx <- get_acs(geography = "block group",
              variables = c(medincome = "B19013_001"),
              state = "TX",
              county = "El Paso",
              geometry = TRUE,
              keep_geo_vars = TRUE,
              year = 2018)
Getting data from the 2014-2018 5-year ACS
Downloading feature geometry from the Census website.  To cache shapefiles for use in future sessions, set `options(tigris_use_cache = TRUE)`.

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tx
Simple feature collection with 513 features and 14 fields
Geometry type: MULTIPOLYGON
Dimension:     XY
Bounding box:  xmin: -106.6456 ymin: 31.38725 xmax: -105.9543 ymax: 32.00253
Geodetic CRS:  NAD83
First 10 features:
   STATEFP COUNTYFP TRACTCE BLKGRPCE              AFFGEOID        GEOID NAME.x
1       48      141  004003        2 1500000US481410040032 481410040032      2
2       48      141  002500        2 1500000US481410025002 481410025002      2
3       48      141  001900        3 1500000US481410019003 481410019003      3
4       48      141  004312        4 1500000US481410043124 481410043124      4
5       48      141  004202        3 1500000US481410042023 481410042023      3
6       48      141  001109        1 1500000US481410011091 481410011091      1
7       48      141  004307        4 1500000US481410043074 481410043074      4
8       48      141  002400        4 1500000US481410024004 481410024004      4
9       48      141  010407        3 1500000US481410104073 481410104073      3
10      48      141  004104        1 1500000US481410041041 481410041041      1
   LSAD   ALAND AWATER
1    BG  719336      0
2    BG  403621      0
3    BG  298370      0
4    BG 1375035      0
5    BG  212727      0
6    BG  724395      0
7    BG  530451      0
8    BG  347794      0
9    BG 1421876      0
10   BG  485802      0
                                                      NAME.y  variable estimate
1   Block Group 2, Census Tract 40.03, El Paso County, Texas medincome    53056
2      Block Group 2, Census Tract 25, El Paso County, Texas medincome       NA
3      Block Group 3, Census Tract 19, El Paso County, Texas medincome    11981
4   Block Group 4, Census Tract 43.12, El Paso County, Texas medincome    52143
5   Block Group 3, Census Tract 42.02, El Paso County, Texas medincome    29677
6   Block Group 1, Census Tract 11.09, El Paso County, Texas medincome    87250
7   Block Group 4, Census Tract 43.07, El Paso County, Texas medincome    51638
8      Block Group 4, Census Tract 24, El Paso County, Texas medincome    65980
9  Block Group 3, Census Tract 104.07, El Paso County, Texas medincome    35869
10  Block Group 1, Census Tract 41.04, El Paso County, Texas medincome    29677
     moe                       geometry
1  19293 MULTIPOLYGON (((-106.3056 3...
2     NA MULTIPOLYGON (((-106.4413 3...
3   4611 MULTIPOLYGON (((-106.4834 3...
4  34979 MULTIPOLYGON (((-106.3423 3...
5  12669 MULTIPOLYGON (((-106.3673 3...
6  24802 MULTIPOLYGON (((-106.5418 3...
7  10871 MULTIPOLYGON (((-106.3081 3...
8  14399 MULTIPOLYGON (((-106.4614 3...
9   7395 MULTIPOLYGON (((-106.2738 3...
10 14682 MULTIPOLYGON (((-106.3499 3...
plot(tx["estimate"])