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21.06.2010 |
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New: Hungary under the microscope – 100m x 100m raster
WIGeoGIS is now offering demographic data at raster level, not only for Germany and Austria, but also for Hungary. Companies active in Hungary or planning an expansion into this promising future market now have the opportunity to integrate these current, micro-scale data into their spatial analyses.Micro-scale in largest cities
In the past, demographic data for spatial analyses have been available at the municipal or postal code
level, the data being published by the Hungarian Bureau of Statistics or similar institutions. However, in
order to generate meaningful analyses - particularly in metropolitan areas – it is the precision of data
that is often critical.
GeoX, our Hungarian data partner, recognised the necessity of such data sets, developing their smallscale
solution last year. GeoX decided to gather data on the 100m x 100m scale. They started with the
six largest cities and now these micro-scale data are available for 19 metropolitan areas. The raster
cells only include residential areas.
Blending delivers new and valuable information
GeoX also included additional publicly available data to generate its datasets, information that had not
previously been used for conducting geomarketing analyses. They sought data reflecting the income
and demographic features of the population which were available at address level for the whole
country. Real estate data was also gathered and analysed.
Within a community local real estate sales figures can be used to accurately estimate the quality of life
and/or the ownership distribution of the population. The per capita income was calculated from
purchasing power figures in each community, combined with the real estate prices at street level. At
the community level there is a high correlation between average real estate prices per square metre
and per capita income.
A general cluster was defined for describing the units in detail. The clusters were created with the aid
of per capita income, age indices and population density. Ten categories were defined using this
approach, allowing the immediate spatial evaluation of purchasing power and demographic data on a
micro-level in Hungary.
The Hungarian raster data are now available from WIGeoGIS.
