This dataset represents Spanish regions at NUTS levels 0, 1, 2, and 3 according to the Nomenclature of Territorial Units for Statistics (NUTS) classification for 2024.
Format
An sf object with MULTIPOLYGON geometries at 1:1 million
resolution in EPSG:4258 projection, containing
86 rows and 10 variables:
NUTS_IDNUTS identifier.
LEVL_CODENUTS level code
(0,1,2,3).CNTR_CODEEurostat Country code.
NAME_LATNNUTS name on Latin characters.
NUTS_NAMENUTS name on local alphabet.
MOUNT_TYPEMount Type, see Details.
URBN_TYPEUrban Type, see Details.
COAST_TYPECoast Type, see Details.
geoSame as
NUTS_ID, provided for compatibility with eurostat.geometrygeometry field.
Details
MOUNT_TYPE: Mountain typology:
1: More than 50% of the surface is covered by topographic mountain areas.2: More than 50% of the regional population lives in topographic mountain areas.3: More than 50% of the surface is covered by topographic mountain areas and more than 50% of the regional population lives in these mountain areas.4: Non-mountain region or other regions.0: No classification provided.
URBN_TYPE: Urban-rural typology:
1: Predominantly urban region.2: Intermediate region.3: Predominantly rural region.0: No classification provided.
COAST_TYPE: Coastal typology:
1: Coastal region (on the coast).2: Coastal region (less than 50% of the population living within 50 km of the coastline).3: Non-coastal region.0: No classification provided.
See also
Other datasets:
esp_codelist,
esp_tiles_providers,
pobmun25
Examples
data("esp_nuts_2024")
head(esp_nuts_2024)
#> Simple feature collection with 6 features and 9 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -18.15996 ymin: 27.63846 xmax: 4.320228 ymax: 43.78924
#> Geodetic CRS: ETRS89
#> # A tibble: 6 × 10
#> NUTS_ID LEVL_CODE CNTR_CODE NAME_LATN NUTS_NAME MOUNT_TYPE URBN_TYPE
#> <chr> <int> <chr> <chr> <chr> <int> <int>
#> 1 ES 0 ES España España NA NA
#> 2 ES1 1 ES Noroeste Noroeste NA NA
#> 3 ES2 1 ES Noreste Noreste NA NA
#> 4 ES3 1 ES Comunidad de Madrid Comunida… NA NA
#> 5 ES4 1 ES Centro (ES) Centro (… NA NA
#> 6 ES5 1 ES Este Este NA NA
#> # ℹ 3 more variables: COAST_TYPE <int>, geo <chr>, geometry <MULTIPOLYGON [°]>
