Population for Regions (2021 Census)
Generalised polygons of Regions (NUTS 3) with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Generalised polygons of Regions (NUTS 3) with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Generalised polygons of municipalities and military districts with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Coordinate grids of square cells with a side length of 1 km (kilometre grids) with unique identification and selected statistical data for the population from the 2021 Census.
Generalised polygons of Districts with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Generalised polygons of cohesion regions (NUTS 2) with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Generalised polygons of basic territorial units with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Generalised polygons of administrative districts of municipalities with extended powers (AD MEP) with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Municipality polygons classified using a experimental polygon-based (object-oriented) DEGURBA model. The classification is based on accurate spatial identification of settlement clusters and subsequent aggregation of population into administrative units.
Municipality polygons classified according to the prevailing DEGURBA category (Scope 2). The classification is based on the aggregation of population data from the grid and considers the share of population in individual urbanisation classes, including the hierarchy of the settlement system.
Municipality polygons classified according to the prevailing DEGURBA urbanisation category. The classification is based on the aggregation of population data from the grid using address-based population allocation and the calculation of population shares across urbanisation classes.
Cadastral unit polygons classified using a experimental polygon-based (object-oriented) DEGURBA model. The classification is based on accurate spatial identification of settlement clusters and subsequent aggregation of population into administrative units.
Cadastral unit polygons classified according to the prevailing DEGURBA category (Scope 2). The classification is based on the aggregation of population data from the grid and considers the share of population in individual urbanisation classes, including the hierarchy of the settlement system
Cadastral unit polygons classified according to the prevailing DEGURBA urbanisation category. The classification is based on the aggregation of population data from the grid using address-based population allocation and the calculation of population shares across urbanisation classes.
Polygons of basic territorial units classified using a polygon-based (object-oriented) DEGURBA model. The classification is based on accurate spatial identification of settlement clusters and subsequent aggregation of population into administrative units.
Polygons of basic territorial units classified according to the prevailing DEGURBA category (Scope 2). The classification is based on the aggregation of population data from the grid and considers the share of population in individual urbanisation classes, including the hierarchy of the settlement system.
Polygons of basic territorial units classified according to the prevailing DEGURBA urbanisation category. The classification is based on the aggregation of population data from the grid using address-based population allocation and the calculation of population shares across urbanisation classes.
The DEGURBA alternative polygon (object-based) model, which maps the actual shape of urbanized areas using a detailed spatial distribution of the population at address points. Unlike the grid-based approach, DEGURBA allows for the precise delineation of settlement structures without the influence of a fixed grid and eliminates uninhabited areas.