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Category Archives: ArcData

Various statistical data for Hungarian NUTS levels, year 2000-2013.

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 […]

Data visualization by CartoDB

CartoDB is a platform for turning location data into business outcomes. This platform helps to visualize and analyse location based data on map. Using this platform it’s quick and easy to demonstrate the main advantage of map based analysis. POS terminal data collection and CartoDB In Open POS terminal collecting project, we collect and classify […]

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 […]

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 […]

Lower unemployment rate in agglomerations in Hungary

Now is available the settlement level basic data of unemployment rate of Hungary, so we can updated ArcData database with these unemoployment data too. Now we analyse that if in agglomatations of county seats the unemployment rate is less than the rural areas of Hungary. There are 21 different agglomeration, and urban regions in Hungary, especially around […]

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 […]

Unemployment rate in Hungary in last quarter of year 2014

The National Employment Service (AFSZ) of Hungary has published the statistical dataset of unemployment rate of settlements of Hungary. Used these data we created the new elements of settlement level map series of unemployment rate of Hungary. Percentage of registered jobseekers in proportion of resident population of working age Change in unemployment rate of Hungarian settlements […]

Purchasing power of Hungarian cities – 2012

The settlement level purchasing power database has updated. You can use the settlement level income and consumption expeditures databes of Hungary for your marketing research process. Tematic map of Net income per capita – year 2012 Settlement level tematic map of net income per capita shows the differences between Budapest and its agglomeration and the […]

Permanent population in Hungarian settlements – 2014.

Now are available the latest (01.01.2016) population data by settlement in ArcData database.   ArcData statistical database of Hungarian NUTS levels has been updated with new demographic data (year 2014) for all territorial levels. This database helps you to in your geomarketing process, and your location based predictive analysis. Dinamically growning and declining areas of Hungary […]

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