INSPIRE 1 km Grid (ETRS89-LAEA), Germany (Germany, 2019)

boundary

A standardized 1 km statistical grid for Germany, following the INSPIRE specification and ETRS89-LAEA coordinate reference system. This dataset provides a consistent spatial framework for aggregating and analyzing demographic or environmental data across the country.

At a glance

Records: 384,181
Geometry: Polygon
Area type: Grid1km
Location: Germany
Country: Germany
Source: Bundesamt für Kartographie und Geodäsie (BKG)
Licence: Datenlizenz Deutschland Namensnennung 2.0 (dl-de/by-2-0), per quellenvermerk_datenlizenz_deutschland.txt inside the archive.
Year: 2019

Columns (4)

Column	Type	Statistics	Description
Feature ID	integer	min 1 · max 384,181 · μ 192,091	Sequential feature identifier for the grid polygons.
INSPIRE Grid ID	string	—	Standardized 1 km grid cell identifier following the INSPIRE specification for the ETRS89-LAEA coordinate reference system.
BKG Grid ID	string	—	Grid cell identifier provided by the German Federal Agency for Cartography and Geodesy (BKG).
Bounding Box	numeric	—	The spatial extent (xmin, ymin, xmax, ymax) of each grid cell.

Data preview

Feature ID	INSPIRE Grid ID	BKG Grid ID	Bounding Box
289,466	CRS3035RES1000mN3310000E4269000	1kmN3310E4269	{"xmin":9.227178573608398,"ymin":52.89619827270508,"xmax":9.24219799041748,"ymax":52.90528106689453}
31,967	CRS3035RES1000mN2796000E4348000	1kmN2796E4348	{"xmin":10.363592147827148,"ymin":48.27687072753906,"xmax":10.377128601074219,"ymax":48.28591537475586}
324,768	CRS3035RES1000mN3383000E4139000	1kmN3383E4139	{"xmin":7.254796504974365,"ymin":53.52371597290039,"xmax":7.270442008972168,"ymax":53.53304672241211}
167,309	CRS3035RES1000mN3095000E4287000	1kmN3095E4287	{"xmin":9.515926361083984,"ymin":50.96533966064453,"xmax":9.530255317687988,"ymax":50.974395751953125}
85,224	CRS3035RES1000mN2920000E4399000	1kmN2920E4399	{"xmin":11.074167251586914,"ymin":49.387664794921875,"xmax":11.088139533996582,"ymax":49.39679718017578}
247,740	CRS3035RES1000mN3229000E4563000	1kmN3229E4563	{"xmin":13.534578323364258,"ymin":52.1175537109375,"xmax":13.54987621307373,"ymax":52.12697219848633}
123,464	CRS3035RES1000mN3006000E4405000	1kmN3006E4405	{"xmin":11.175475120544434,"ymin":50.1600456237793,"xmax":11.189691543579102,"ymax":50.16918182373047}
157,068	CRS3035RES1000mN3077000E4317000	1kmN3077E4317	{"xmin":9.943246841430664,"ymin":50.804534912109375,"xmax":9.957444190979004,"ymax":50.813533782958984}
36,885	CRS3035RES1000mN2808000E4387000	1kmN2808E4387	{"xmin":10.890655517578125,"ymin":48.38178634643555,"xmax":10.904311180114746,"ymax":48.390899658203125}
154,798	CRS3035RES1000mN3073000E4233000	1kmN3073E4233	{"xmin":8.752504348754883,"ymin":50.7618522644043,"xmax":8.766916275024414,"ymax":50.770999908447266}

Showing 10 of 384,181 rows — open the Table tab for the full, sortable dataset.

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