Census 2021 ethnicity populations

Fetches TS021 (NM_2041_1), with exact codes verified against returned cells. Supply ONS codes or an sf boundary object. Current ward and LAD boundaries must not be silently matched to Census 2021 units: unchanged codes alone do not demonstrate unchanged boundaries. A new exposure source must be supplied for changed units. Census disclosure control may cause small inconsistencies between separately published tables. Unknown is retained with NA exposure.

Usage

sl_population(geography, classification = c("5", "19"), dir = sl_cache_dir())

Arguments

geography

ONS geography codes, or an sf layer with geography_code.

classification

Census classification, 5 or 19.

dir

Explicit cache directory, written only on this call.

Value

An sl_exposure tibble, or NULL with a message if unavailable.

See also

sl_exposure(), sl_population_crosstab()

Other ingest: sl_archive_download(), sl_archive_index(), sl_archive_snapshot(), sl_assign_geography(), sl_boundaries(), sl_cache_clear(), sl_cache_dir(), sl_contract(), sl_exposure(), sl_list_versions(), sl_population_crosstab(), sl_read_records(), sl_sample(), sl_select_version()

Examples

p <- readRDS(system.file("extdata", "sample-population.rds",
  package = "searchlight"
))
head(p$msoa21)
#> # A tibble: 6 × 3
#>   geography_code ethnicity population
#>   <chr>          <chr>          <dbl>
#> 1 E02002183      Asian             57
#> 2 E02002183      Black             17
#> 3 E02002183      Mixed             65
#> 4 E02002183      Other              5
#> 5 E02002183      White           5558
#> 6 E02002184      Asian            219