data-raw/households21_england_wales_ltla23.R
In humaniverse/demographr: R package for mapping UK demographics
library(tidyverse)
households21_england_wales_ltla23 <- read_csv("https://www.nomisweb.co.uk/api/v01/dataset/NM_2059_1.data.csv?date=latest&geography=1778384897...1778384901,1778384941,1778384950,1778385143...1778385146,1778385159,1778384902...1778384905,1778384942,1778384943,1778384956,1778384957,1778385033...1778385044,1778385124...1778385138,1778384906...1778384910,1778384958,1778385139...1778385142,1778385154...1778385158,1778384911...1778384914,1778384954,1778384955,1778384965...1778384972,1778385045...1778385058,1778385066...1778385072,1778384915...1778384917,1778384944,1778385078...1778385085,1778385100...1778385104,1778385112...1778385117,1778385147...1778385153,1778384925...1778384928,1778384948,1778384949,1778384960...1778384964,1778384986...1778384997,1778385015...1778385020,1778385059...1778385065,1778385086...1778385088,1778385118...1778385123,1778385160...1778385192,1778384929...1778384940,1778384953,1778384981...1778384985,1778385004...1778385014,1778385021...1778385032,1778385073...1778385077,1778385089...1778385099,1778385105...1778385111,1778384918...1778384924,1778384945...1778384947,1778384951,1778384952,1778384973...1778384980,1778384998...1778385003,1778384959,1778385193...1778385214&c2021_hh_1=0&measures=20100")
households21_england_wales_ltla23 <-
households21_england_wales_ltla23 |>
select(
ltla23_code = GEOGRAPHY_CODE,
households = OBS_VALUE
)
# Save output to data/ folder
usethis::use_data(households21_england_wales_ltla23, overwrite = TRUE)
humaniverse/demographr documentation built on June 10, 2025, 5:39 p.m.
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library(tidyverse)
households21_england_wales_ltla23 <- read_csv("https://www.nomisweb.co.uk/api/v01/dataset/NM_2059_1.data.csv?date=latest&geography=1778384897...1778384901,1778384941,1778384950,1778385143...1778385146,1778385159,1778384902...1778384905,1778384942,1778384943,1778384956,1778384957,1778385033...1778385044,1778385124...1778385138,1778384906...1778384910,1778384958,1778385139...1778385142,1778385154...1778385158,1778384911...1778384914,1778384954,1778384955,1778384965...1778384972,1778385045...1778385058,1778385066...1778385072,1778384915...1778384917,1778384944,1778385078...1778385085,1778385100...1778385104,1778385112...1778385117,1778385147...1778385153,1778384925...1778384928,1778384948,1778384949,1778384960...1778384964,1778384986...1778384997,1778385015...1778385020,1778385059...1778385065,1778385086...1778385088,1778385118...1778385123,1778385160...1778385192,1778384929...1778384940,1778384953,1778384981...1778384985,1778385004...1778385014,1778385021...1778385032,1778385073...1778385077,1778385089...1778385099,1778385105...1778385111,1778384918...1778384924,1778384945...1778384947,1778384951,1778384952,1778384973...1778384980,1778384998...1778385003,1778384959,1778385193...1778385214&c2021_hh_1=0&measures=20100")
households21_england_wales_ltla23 <-
households21_england_wales_ltla23 |>
select(
ltla23_code = GEOGRAPHY_CODE,
households = OBS_VALUE
)
# Save output to data/ folder
usethis::use_data(households21_england_wales_ltla23, overwrite = TRUE)
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