European 100 x 100 geodemographic database

The most detailed spatial database of purchasing power in Central Europe

European 100 x 100 is a uniform geodemographic database of the Central European region, allowing for direct comparisons between countries. It contains data in the same structure as the as 100 x 100 product covering Hungary and includes sociodemographic and income data aggregated in a 100 x 100 meter grid.

European 100 x 100 provides the indicators at the highest spatial resolution for the region, significantly surpassing the Inspire GRID’s 1 km2 population data. The sources for the data include open-source data, freely available official data, commercially available official data and other market research indexes, as well as other secondary data.

European 100 x 100 contains detailed demographic data, purchasing power and other specialized indexes for the following countries: Austria, Czechia, Croatia, Romania, Slovakia, and Slovenia.

Data content

Purchasing power

  • The average net income is given for all the covered areas
  • Wherever possible the settlement level purchasing power data has been calculated for the for the 100m x 100m cells using various secondary sources

City Center Index

  • This index can be used to identify central areas of a given town, specifically for secondary, local urban centers
  • It shows the density of POIs of relevance, mapping the most visited areas
  • The POIs used for compiling the index include, shopping centers, ATMs, bus stops, restaurants, health facilities, gas stations among others.

Public Transport Index

  • This indicator show how well a given area is served by public transport
  • When calculating we considered distance from transport stops along with frequency and capacity of service

Demographics and land use

  • Population aggregated to a 100 x 100 m grid
  • Where data is available it contains breakdown by age and gender
  • Land-use data coming from multiple sources including Sentinel-2 satellite data
  • The use of space assets allows for rapid updates to follow changes in the real world

Data sources

The data come from openly available official data, official data available for purchase, as well as other open source data, commercially available data and secondary sources. This is complemented by GeoX’s own calculations. Unique and innovative datasets have been used including earth observation data from the Sentinel 2 satellite.

Detailed description

Territorial Availability

The 100×100 database is available in Austria, Croatia, Czechia, Poland, Romania, Slovakia, and Slovenia

Data structure

The full list of variables can be found below. Some of the variables are not available for every location.

Identifier Grid ID
Identifier Contry of the grid
Identifier Settlement of the grid
Satellite image Normalized difference vegetation index
Satellite image Normalized difference vegetation index
Satellite image Normalized difference built-up index
Satellite image Normalized difference built-up index
Satellite image Build up index
Satellite image Build up index
Satellite image Short Wave Infrared RGB Composite
Satellite image Short Wave Infrared RGB Composite
Satellite image Red channel
Satellite image Red channel
Satellite image Green channel
Satellite image Green channel
Satellite image Blue channel
Satellite image Blue channel
Satellite image Normalized difference vegetation index
Satellite image Normalized difference vegetation index
Satellite image Normalized difference built-up index
Satellite image Normalized difference built-up index
Satellite image Build up index
Satellite image Build up index
Satellite image Short Wave Infrared RGB Composite
Satellite image Short Wave Infrared RGB Composite
Satellite image Red channel
Satellite image Red channel
Satellite image Green channel
Satellite image Green channel
Satellite image Blue channel
Satellite image Blue channel
Satellite image Normalized difference vegetation index
Satellite image Normalized difference built-up index
Satellite image Build up index
Satellite image Short Wave Infrared RGB Composite
Satellite image Red channel
Satellite image Green channel
Satellite image Blue channel
CORINE Built-up area
CORINE Built-up area
CORINE Green area
CORINE Green area
CORINE Water
CORINE Water
CORINE Agricultural
CORINE Agricultural
CORINE Other
CORINE Other
National landuse source Built-up area
National landuse source Built-up area
National landuse source Green area
National landuse source Green area
National landuse source Water
National landuse source Water
National landuse source Agricultural
National landuse source Agricultural
National landuse source Other
National landuse source Other
Terrain Height
Terrain Slope
Terrain Aspect
Socio-economic data – demography Number of total population
Socio-economic data – demography Number of total population
Socio-economic data – demography Number of population – 0-14 years old
Socio-economic data – demography Number of population – 15-18 years old
Socio-economic data – demography Number of population – 19-30 years old
Socio-economic data – demography Number of population – 31-62 years old
Socio-economic data – demography Number of population – 63-x years old
Socio-economic data – demography Elder-child ratio
Socio-economic data – demography Young-age dependency ratio
Socio-economic data – demography Old-age dependency ratio
Socio-economic data – demography Number of households
Socio-economic data – demography Percentage of population with diploma
Socio-economic data – demography Annual net income per capita
Socio-economic data – neighbourhood Type of residential area
Socio-economic data – neighbourhood Population change and newly built areas between 2004-2019
Socio-economic data – neighbourhood City Center index
Empty Pedestrian traffic index
Socio-economic data – neighbourhood Public transport hub index
Socio-economic data – neighbourhood Touristical attraction index
Socio-economic data – neighbourhood Daytime population index at working places, schools, etc.
Socio-economic data – neighbourhood Visitors’ volume index in shops
Socio-economic data – neighbourhood Visitors’ volume index in restaurants
Socio-economic dara – demography Meta population data
Traffic, accessibility Distance from city center
Traffic, accessibility Distance of the settlement from capital
Traffic, accessibility Distance of setllements from nearest city (county seat)
Traffic, accessibility Mobility index (settlement, built-up area)
Traffic, accessibility Mobility index (country)
Traffic, accessibility Traffic volume of the national road network
Socio-economic data – neighbourhood Type of residential area – family house
Socio-economic data – neighbourhood Type of residential area – small block
of flats, garden apartments
Socio-economic data – neighbourhood Type of residential area – townhouse, block of flats
Socio-economic data – neighbourhood Type of residential area – housing estate

Format

The database can be used in multiple formats. The database contains map objects which allows for map-based analysis and visualization. This however is not a prerequisite to perform analysis as the database can be connected to address data as well, thus allowing for analysis without the use of GIS software. 

The database has been optimized for machine reading and is an ideal starting point for AI enhanced analysis.

Pricing of 100×100 database varies on data depth and territory covered of the data requested. The data is available for each country or cities individually and pricing depends on the size of the requested area.
Data can also be bought in bundles, covering specific settlement types or larger territorial units.

If you have any questions about our products or pricing please contact us

Give us a call

+36 30 960 83 37
MONDAY-FRIDAY (9AM-6PM)

Send us an email

info@geox.hu
ANYTIME

Quick Contact