German administrative boundaries
admin_data.RdThree sf dataframes containing all geometries of
German districts, federal states, and the country, respectively. The
reference year is 2023.
Format
For the dataframe format, see bkg_admin.
An object of class sf (inherits from tbl_df, tbl, data.frame) with 25 rows and 25 columns.
An object of class sf (inherits from tbl_df, tbl, data.frame) with 7 rows and 25 columns.
Source
© BKG (2025) dl-de/by-2-0, data sources: https://sgx.geodatenzentrum.de/web_public/gdz/datenquellen/Datenquellen_vg_nuts.pdf
Examples
bkg_krs
#> Simple feature collection with 400 features and 24 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: 4031295 ymin: 2684102 xmax: 4672497 ymax: 3551313
#> Projected CRS: ETRS89-extended / LAEA Europe
#> # A tibble: 400 × 25
#> objid beginn ade gf bsg ars ags sdv_ars gen bez ibz
#> <chr> <date> <int> <int> <int> <chr> <chr> <chr> <chr> <chr> <int>
#> 1 DEBKGVG50… 2019-10-03 4 9 1 01001 01001 010010… Flen… Krei… 40
#> 2 DEBKGVG50… 2019-10-03 4 9 1 01002 01002 010020… Kiel Krei… 40
#> 3 DEBKGVG50… 2019-10-03 4 9 1 01003 01003 010030… Lübe… Krei… 40
#> 4 DEBKGVG50… 2019-10-03 4 9 1 01004 01004 010040… Neum… Krei… 40
#> 5 DEBKGVG50… 2019-10-03 4 9 1 01051 01051 010510… Dith… Kreis 42
#> 6 DEBKGVG50… 2021-06-19 4 9 1 01053 01053 010530… Herz… Kreis 42
#> 7 DEBKGVG50… 2019-10-03 4 9 1 01054 01054 010540… Nord… Kreis 42
#> 8 DEBKGVG50… 2019-10-03 4 9 1 01055 01055 010550… Osth… Kreis 42
#> 9 DEBKGVG50… 2019-10-03 4 9 1 01056 01056 010560… Pinn… Kreis 42
#> 10 DEBKGVG50… 2019-10-03 4 9 1 01057 01057 010570… Plön Kreis 42
#> # ℹ 390 more rows
#> # ℹ 14 more variables: bem <chr>, nbd <chr>, sn_l <chr>, sn_r <chr>,
#> # sn_k <chr>, sn_v1 <chr>, sn_v2 <chr>, sn_g <chr>, fk_s3 <chr>, nuts <chr>,
#> # ars_0 <chr>, ags_0 <chr>, wsk <date>, geometry <MULTIPOLYGON [m]>