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!
Differencies of city’s population in Hungary – 2017.01.01
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 100 000 inhabitants, while it’s thrue only seven from 19 county seats.
All database indicators are available for 136 cities in Hungary. You can use this GIS database for Business GIS analysis, catchment area analysis. The database is available by settlement, price list.
Description of fields
Type of data
Year of validity
Name of county
Name of settlement
Name of district (in Budapest)
Special (sub) city area
Name of housing estates
Type of residential areas
Type of purchasing power cluster
Population per hectare
Population, year 0-14
Population, year 15-18
Population, year 19-30
Population, year 31-62
Population, year 63 – x
Young age dependency ratio
Old age dependency ratio
Percentage of graduated people
Annual net income per capita
Population, age groups, city centers
Number of inhabitants, percentage of age groups are as important as the locations of population in different parts of a city. For Business GIS analysis you can use complex indicators of 100×100 purchasing power database to analyse and visualise spatial differences of the city.
Population density map Budapest – 2017
Population density map – Székesfehérvár 2017
Population density map – Szeged 2017
Population density map – Pécs 2017
Population density map – Győr 2017
How to buy this database?
The 100×100 street level purchasin power database is available in MapInfo.tab, ESRI shape or txt format. Price list of 136 settlements of GIS database. You can order a special data analysis with using this database. Contact us »
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 residential population, age groups, volume of permanent migration balance, percentage of young and old age population in a district. These indicators show the characteristic of residential population. The timelined data help to understand the changes of residential population (see more demographic map »)
Permanent migration balace in Budapest – 2005-2015
Characteristic of housing stocks
The characteristic of housing stock – number of rooms, comfort level of flats, number of flats in a house – or percentage of new build or rebuild dwellings shows the value of an area.
Number of dwellings built in Budapest 2005-2015
Net income and purchasing power
Percentage of tax payers, net income per capita can be the indicators of local level of purchasing power (see more maps).
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.
To open a new shop somewhere, we have to know “How many people live there?” It means the resident population, the population by age groups in the catchment area of the planned new service. 100×100 database helps to analyse spatial differences in a city.
Population density in Pécs – 2016
Population density in Debrecen – 2016
Population density in Nyíregyháza – 2016
Indicators by age groups, young age dependency ratio index, old age dependency ratio index show more detailed information for a city. These indexes are available for 136 cities in Hungary, for Budapest, county seats, for cities with more than 20 000 inhabitants and for settlements of Budapest suburb area.
The latest update of POIX database of Hungary is available now. Point of Interest database with GPS coordinates and contact information: address, phone number, e-mail and web page for all POI elements.
New features in POIX database
Featured categories of database update are now:
Banks by brands and ATMs,
Pharmacies by brands,
Retail trade by brands,
POIX database – Industrial zones in Hungary – 2016
Now the database contains more than 170 000 elements in 6 main categories, 25 categories and more than 450 subcategories. You can buy the database by categories, or by settlements of Hungary.
Usability of POIX database
You can use POIX database of Hungary for:
logistic and navigation services,
neighbourhood profile analysis,
catchment area or competition analysis,
or you can integrate the database in your own web services or maps.
Some category elements of POIX database are used to create 100×100 street level purchasing power indicators.
Categories, and number of POI elements
Number of POIs
Accomodation, eating and drinking (Accomodation)
Accomodation, eating and drinking (Eating and Drinking)
Infrastructure (Infrastructure support)
Infrastructure (Public accessibile facilities)
Education and Health (General education)
Education and Health (Recreational and vocational education)
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 NUTS levels.
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.
Permanent population in Hungarian settlements – 2016.
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 surveys too.
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.
Unemployment rate in city agglomerations in Hungary
There are 21 different agglomeration, and urban regions in Hungary, especially around of county seats and at the capital of Hungary – Budapest, and at lake Balaton. The unemployment rate in these areas are lower than other rural regions of Hungary.
Szeged-Békéscsaba region – unemployment rate – January 2016
Székesfehérvár-Balaton region – unemployment rate – January 2016
Eger-Miskolc-Salgótarján region – Unemployment rate
Pécs-Kaposvár-Szekszárd region – unemployment rate – January 2016