Country, regional, and sub-national total population estimates

ONS National and sub-national mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).

Usage

data("uk_population_2019")

Format

An object of class tbl_df (inherits from tbl, data.frame) with 398 rows and 4 columns.

Source

https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates

Originally licensed under the Open Government Licence v3.0

Details

Mid-2019: April 2019 local authority district codes edition of this dataset. This is UK wide and covers country, regions and LTLA (2019 boundaries)

`uk_population_2019` dataframe with 398 rows and 4 columns

name (chr): The region name
code (chr): The region code
codeType (chr): The ONS geographical region code type (including year)
population (dbl): the count of the population in that age group

Examples

dplyr::glimpse(uk_population_2019)
#> Rows: 398
#> Columns: 4
#> $ code       <chr> "K02000001", "K03000001", "K04000001", "E92000001", "E12000…
#> $ population <dbl> 66796807, 64903140, 59439840, 56286961, 2669941, 530094, 10…
#> $ name       <chr> "United Kingdom", "Great Britain", "England and Wales", "En…
#> $ codeType   <chr> "CTRY20", "CTRY20", "CTRY20", "CTRY20", "RGN20", "LAD19", "…