Description of Purchasing Power Indicators

Base unit of analysis
The 100 * 100 m grid covering the country’s populated places are the base units of the analysis. All – address level collected data – are aggregated to this 100×100 grid level. All special indicators are calculated to this 100×100 grid level too. Let’s see the data visualization sample map »

Special 100×100 Indicators of database
The special indicators are calculated from base data of 100×100 database. Help to visualize and understand the spatial differences of demography and neighbourhood profile in a city.
Purchasing power cluster
The purchasing power cluster data is the most complex indicator of this database. It’s calculation is based on income per capita – aging index – population density data. The 16 different neigbourhood cluster describe the charecteristic of different parts of the cities.
- Budapest purchasing power cluster map 2017
- Debrecen purchasing power cluster map 2017
- Győr purchasing power cluster map 2017
This indicator is available all 136 analysed settlement of Hungary.
Indicators of demography
There are three different demography indicators in 100×100 purchasing power database:
- Ageing index – shows the percentage of old age population (63-x years) comparison with young age population (0-14 years).
- Old age dependency ratio index – shows the percentage of old age population (63-x) comparison with active age population (15-62 years).
- Young age dependency ratio index – shows the percentage of young age population (0-14) comparison with active age population (15-62 years).
- Ageing index in Budapesten – 2017
- Ageing index in Debrecen – 2017
- Ageing index in Szegeden – 2017
- Old age dependency ratio in Budapest – 2017
- Old age dependency ratio in Debrecen – 2017
- Old age dependency ratio in Szeged – 2017
- Young age dependency ratio in Budapest – 2017
- Young age dependency ratio in Debrecen – 2017
- Young age dependency ratio in Szeged – 2017
Indicators of daytime population
From alternative data sources can be collected those data, which describe the movement of people in daytime. These are:
- Downtown Index – shows the most popular places in a city based on numbers of selected POIs (ATM, Pláza, stb.)
- Touristical Index – shows the most popular places in a city based on locations of photos sharings.
- Pedestrian Traffic Index – shows the most popular places in a city based on locations of social media check-ins.
- Public Transport Index – shows the traffic centers of public transport based on number and type of transfer points at a location (only for Budapest).
- Downtown Index in Budapest – 2017
- Downtown Index Debrecen – 2017
- Downtown Index in Győr – 2017







