R/stl_race_income.R
stl_race_income.RdA simple features data set containing the geometry and associated attributes for the 2013-2017 American Community Survey estimates for median household income and the percentage of white residents in St. Louis. This version of the sample data are stored as polygon data.
data(stl_race_income)A data frame with 106 rows and 4 variables:
full GEOID string
Percent of white residents per tract
Median household income of tract
simple features geometry
tidycensus package
str(stl_race_income)
#> Classes ‘sf’ and 'data.frame': 106 obs. of 4 variables:
#> $ GEOID : chr "29510102300" "29510102400" "29510104500" "29510106100" ...
#> $ pctWhite: num 82.93 90.12 74.72 1.75 2.38 ...
#> $ medInc : num 51650 45375 54286 18895 36130 ...
#> $ geometry:sfc_POLYGON of length 106; first list element: List of 1
#> ..$ : num [1:137, 1:2] -90.3 -90.3 -90.3 -90.3 -90.3 ...
#> ..- attr(*, "class")= chr [1:3] "XY" "POLYGON" "sfg"
#> - attr(*, "sf_column")= chr "geometry"
#> - attr(*, "agr")= Factor w/ 3 levels "constant","aggregate",..: NA NA NA
#> ..- attr(*, "names")= chr [1:3] "GEOID" "pctWhite" "medInc"
head(stl_race_income)
#> Simple feature collection with 6 features and 3 fields
#> Geometry type: POLYGON
#> Dimension: XY
#> Bounding box: xmin: -90.29702 ymin: 38.55542 xmax: -90.2645 ymax: 38.67565
#> Geodetic CRS: NAD83
#> GEOID pctWhite medInc geometry
#> 1 29510102300 82.925682 51650 POLYGON ((-90.29702 38.5623...
#> 2 29510102400 90.116046 45375 POLYGON ((-90.28452 38.5740...
#> 3 29510104500 74.723618 54286 POLYGON ((-90.29432 38.6209...
#> 4 29510106100 1.752464 18895 POLYGON ((-90.29005 38.6705...
#> 5 29510105500 2.376729 36130 POLYGON ((-90.28601 38.6589...
#> 6 29510105200 36.833277 60938 POLYGON ((-90.29462 38.6485...
summary(stl_race_income$medInc)
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 10545 23474 34688 37140 51379 74425