A data.frame containing population estimates for all the Mexican municipios in 2020
Details
- state_code
INEGI code of each state
- municipio_code
INEGI code of each municipio
- region
INEGI code of the state
- state_name
short state name (e.g. Coahuila)
- state_name_official
Official state name (e.g. Coahuila de Zaragoza)
- state_abbr
state abbreviation
- state_abbr_official
official state abbreviation (it can be awkward to use Chis for Chiapas) according to the INEGI.
- municipio_name
official name of each municipio
- year
2015, the year of the Conteo from which the data is sourced
- pop
total municipio population according to the Censo 2020
- pop_male
male population according to the Censo 2020
- pop_female
female population according to the Censo 2020
- afromexican
afromexican population according to the Censo 2020
- indigenous_language
Number of persons who speak an indigenous language according to the Censo 2020
- long
longitude of the localidad cabecera of each municipio
- lat
latitude of the localidad cabecera of each municipio
References
Population estimates taken from the Censo 2020. The latitude and longitude of the localidad cabecera of each municipio come from the Catálogo Único de Claves de Áreas Geoestadísticas Estatales, Municipales y Localidades
Examples
data("df_mxmunicipio_2020")
head(df_mxmunicipio_2020)
#> # A tibble: 6 × 17
#> state_code municipio_code region state_name state_name_official state_abbr
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 01 001 01001 Aguascalientes Aguascalientes AGS
#> 2 01 002 01002 Aguascalientes Aguascalientes AGS
#> 3 01 003 01003 Aguascalientes Aguascalientes AGS
#> 4 01 004 01004 Aguascalientes Aguascalientes AGS
#> 5 01 005 01005 Aguascalientes Aguascalientes AGS
#> 6 01 006 01006 Aguascalientes Aguascalientes AGS
#> # ℹ 11 more variables: state_abbr_official <chr>, municipio_name <chr>,
#> # year <dbl>, pop <int>, pop_male <int>, pop_female <int>, afromexican <int>,
#> # indigenous_language <int>, metro_area <chr>, long <dbl>, lat <dbl>