The Census Blocks within the 7-county Chicago Metropolitan Agency for
Planning (CMAP) region. From the US Census Bureau's TIGER/Line shapefiles,
2023 vintage. Use block_sf
for data from the 2020 decennial census or the
American Community Survey (ACS) from 2020 onward.
block_sf
block_sf
is a multipolygon sf
object with 144082 rows
and 4 variables:
Unique 15-digit block ID, assigned by the Census Bureau. The parent tract and block group can be identified from the first 11 and 12 digits, respectively. Character.
Unique 5-digit FIPS code of the county the block is in. Character.
Area in square miles. Double.
Feature geometry. sf
multipolygon.
US Census Bureau TIGER/Line
Census Bureau description:
"Blocks (Census Blocks or Tabulation Blocks) are statistical areas bounded by visible features, such as streets, roads, streams, and railroad tracks, and by nonvisible boundaries, such as selected property lines and city, township, school district, and county limits and short line-of-sight extensions of streets and roads. Generally, blocks are small in area; for example, a city block bounded on all sides by streets. Blocks in suburban and rural areas may be larger, more irregular in shape, and bounded by a variety of features, such as roads, streams, and transmission lines. In remote areas, blocks may even encompass hundreds of square miles. Blocks cover the entire territory of the United States, Puerto Rico, and the Island Areas. Blocks nest within all other tabulated census geographic entities at the time of the decennial census and are the basis for all tabulated data from that census. Census Block Numbers—Blocks are numbered uniquely with a four-digit census block number from 0000 to 9999 within census tract, which nest within state and county. The first digit of the census block number identifies the block group. Block numbers beginning with a zero (in Block Group 0) are intended to include only water area, but not all water-only blocks have block numbers beginning with 0 (zero)."
# Display the blocks with ggplot2
library(ggplot2)
ggplot(block_sf) + geom_sf(lwd = 0.1) + theme_void()