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Tag Archives: Demography

Demographic charasteristics of hungarian settlements, Ageing index, percentage of younger and elderly people in a city, or in districts of Budapest.

Smallest cities largest villages in Hungary

How many people live in the smallest cities in Hungary and which are the largest villages without city role. Let’s see this interactive map! County seats and smallest cities Hungary is a one centered country. More people live in one district of Budapest than in some of county seats. More than five districts (from 23) have […]

100×100 Purchasing power clusters of Hungary

100×100 Purchasing power clusters of Hungary 100×100 Purchasing power clusters of Hungary shows the street level differences of neigbourhood profiles and purchasing power of settlements in Hungary. Settlements of database The map based street level database is available for 136 settlements in Hungary: County seats in Hungary: Debrecen, Győr, Miskolc, Pécs, Szeged, Kecskemét, Nyíregyháza, Székesfehérvár, Békéscsaba, Eger,  Szolnok, […]

What’s livable in the districts of Budapest?

Who and where live in Budapest? What are the main types of the residential areas? Where are the newbuilt, and the rebuilt areas? Where is higher the net income and the purchasing power? GeoIndeX provide a lot of timelined (years 2000-2015) statistical data and indicators to analyse spatial differences. Characteristic of residential population Number of […]

New demography data in 100×100 database – 2016

Population density, age groups, percentage of young people and old age population…these demograpy data of a settlement are very important for Location based analysis. The 100×100 street level database provides several types of demography data and indicators for 136 settlements in Hungary. List of settlements of 100×100 purchasing power grid database of Hungary » Population – […]

Differences of city districts in Hungary

ZIP codes or districts are the basic elements of Business GIS analysis in data collection or data vizualization. Districs of Cities In ArcHungary – administrative vector map of Hungary, the ZIP codes and districts of cities (for more than 70 cities) are independent layers with several attributum data as name of districs and settlement, or […]

Permanent population in settlements of Hungary – January 2016

The KEKKH has published the settlement level basic population data of Hungary grouped by mane-female-sum. We have integrated these data to ArcData statistical database of Hungary. Combining these data to your market data, you can create up to date business GIS analysis and maps. Aggregating the basic data to higher administrative level you can assist your market research […]

ArcData – List of variables – 2018

ArcData – List of variables – 2018 contains the list of all variables by NUTS levels of Hungary. The time lined series of variables are collected by categories and NUTS levels: Region, County, Small Region, Settlement, Districts of Budapest Demography, Householdes, Income, Unemployment rate Distributor of database: GeoX Business GIS company.

ArcData statistical database of Hungary

ArcData statistical database of Hungary contain time lined data for all administrative levels of Hungary. Main categories of datasets are: Demography and Age groups, Householdings, Housing stocks, Unemployment rate, Income, and Elections. You can visualize the data on map using ArcHungary vector map of Hungary.

ArcData database update – Year 2014

We have updated ArcData –  spatial level based – statistical database with the dataset of Year 2014. Now the database contains structured data from year 2000 to year 2014 for all NUTS levels. Spatial levels Every NUTS level’s database have updated, so you can use the latest database for: regional (NUTS2) and country (NUTS3) levels, […]

Change of population in districts of Budapest -2015

The number of inhabitant has been changing year to year in districts of Budapest. For spatial analysis these informations could be very important, that’s why we are updating our demographic database of Hungary from region to street level, year by year. With these spatial data you can analyse the trends, and you can join these data to your […]

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