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.
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Český statistický úřad
population
Population for municipalities (2021 Census)
Generalised polygons of municipalities and military districts with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Population for kilometre grids - Population grid (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.
Population for Districts (2021 Census)
Generalised polygons of Districts with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Population for cohesion regions (2021 Census)
Generalised polygons of cohesion regions (NUTS 2) with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Population for basic territorial units (2021 Census)
Generalised polygons of basic territorial units with territorial identifications and selected absolute and ratio indicators for population from the 2021 Census.
Population for AD MEP (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.
Floodplains of watercourses for the 100-year flood
Geographical delimitation of floodplains of watercourses for the hundred-year flood with selected statistical data on the population and housing stock.
Flood spills in 2024
Geographical delimitation of flood spills in 2024 with selected statistical data on the population and housing stock.
Demographic data for the territory of the state
A generalised polygon of the undivided territory of the Czech Republic (NUTS 0, NUTS 1) with selected absolute and ratio demographic indicators in 2019–2023
Demographic data for Regions
Generalised polygons of Regions (NUTS 3) with selected absolute and ratio demographic indicators in 2019–2023
Demographic data for municipalities
Generalised polygons of municipalities and military districts with selected absolute and ratio demographic indicators in 2019–2023
Demographic data for Districts
Generalised polygons of Districts with selected absolute and ratio demographic indicators in 2019–2023
Demographic data for cohesion regions
Generalised polygons of cohesion regions (NUTS 2) with selected absolute and ratio demographic indicators in 2019–2023
Demographic data for AD MEP
Generalised polygons of administrative districts of municipalities with extended powers (AD MEP) with selected absolute and ratio demographic indicators in 2019–2023
Degree of urbanisation (DEGURBA) for municipalities (true shape)
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.
Degree of urbanisation (DEGURBA) for municipalities (Scope 2)
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.
Degree of urbanisation (DEGURBA) for municipalities (Scope 1)
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.
Degree of urbanisation (DEGURBA) for cadastral units (true shape)
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.
Degree of urbanisation (DEGURBA) for cadastral units (Scope 2)
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
Degree of urbanisation (DEGURBA) for cadastral units (Scope 1)
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.
Degree of urbanisation (DEGURBA) for basic territorial units (true shape)
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.
Degree of urbanisation (DEGURBA) for basic territorial units (Scope 2)
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.
Degree of urbanisation (DEGURBA) for basic territorial units (Scope 1)
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.
Degree of urbanisation (DEGURBA) for alternative polygons (true shape)
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.