Registering property: Geographic coverage index (0-8) in Hungary
Hungary: Registering property: Geographic coverage index (0-8) was 8 DB16-20 methodology in 2019. ▬ Flat
Registering property: Geographic coverage index (0-8) in Hungary, 2015–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
In 2019, registering property: geographic coverage index (0-8) in Hungary stood at 8 DB16-20 methodology. That is the highest value across all 5 years on record.
That represents a change of unchanged over five years.
That places Hungary 1st out of 184 countries with data for 2019, putting it in the top 10%.
Countries ranked near Hungary
- 1 Japan 8 DB16-20 methodology compare
- 1 Austria 8 DB16-20 methodology compare
- 1 Belgium 8 DB16-20 methodology compare
- 1 Bhutan 8 DB16-20 methodology compare
- 1 Croatia 8 DB16-20 methodology compare
- 1 Cyprus 8 DB16-20 methodology compare
- 1 Czechia 8 DB16-20 methodology compare
- 1 Denmark 8 DB16-20 methodology compare
- 1 Djibouti 0 DB16-20 methodology compare
- 1 Estonia 8 DB16-20 methodology compare
- 1 Fiji 8 DB16-20 methodology compare
- 1 Finland 8 DB16-20 methodology compare
- 1 France 8 DB16-20 methodology compare
- 1 Germany 8 DB16-20 methodology compare
- 1 Hong Kong 8 DB16-20 methodology compare
- 1 Iceland 8 DB16-20 methodology compare
- 1 Italy 8 DB16-20 methodology compare
- 1 South Korea 8 DB16-20 methodology compare
- 1 Kuwait 8 DB16-20 methodology compare
- 1 Kyrgyzstan 8 DB16-20 methodology compare
- 1 Lithuania 8 DB16-20 methodology compare
- 1 Luxembourg 8 DB16-20 methodology compare
- 1 Malaysia 8 DB16-20 methodology compare
- 1 Netherlands 8 DB16-20 methodology compare
- 1 New Zealand 8 DB16-20 methodology compare
- 1 Qatar 8 DB16-20 methodology compare
- 1 Rwanda 8 DB16-20 methodology compare
- 1 San Marino 8 DB16-20 methodology compare
- 1 Singapore 8 DB16-20 methodology compare
- 1 Slovakia 8 DB16-20 methodology compare
- 1 Slovenia 8 DB16-20 methodology compare
- 1 Saint Lucia 8 DB16-20 methodology compare
- 1 Sweden 8 DB16-20 methodology compare
- 1 Switzerland 8 DB16-20 methodology compare
- 1 Taiwan 8 DB16-20 methodology compare
- 1 Tonga 8 DB16-20 methodology compare
- 1 Turkey 8 DB16-20 methodology compare
More private sector data for Hungary
- Merchandise trade 133.1% (2025)
- Food imports 7.0% (2025)
- Manufactures imports 72.5% (2025)
- Merchandise imports 159.20 billion current US$ (2025)
- Food exports 8.6% (2025)
- Manufactures exports 80.4% (2025)
- Merchandise exports 168.84 billion current US$ (2025)
- Commercial service exports 42.88 billion current US$ (2025)
- Transport services 27.5% (2025)
- Computer, communications and other services 53.5% (2025)
Frequently asked questions
- What is registering property: geographic coverage index (0-8) in Hungary?
- Registering property: geographic coverage index (0-8) in Hungary was 8 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest registering property: geographic coverage index (0-8) recorded in Hungary?
- The highest recorded value was 8 DB16-20 methodology in 2015.
- What is the lowest registering property: geographic coverage index (0-8) recorded in Hungary?
- The lowest recorded value was 8 DB16-20 methodology in 2015.
- How does Hungary rank for registering property: geographic coverage index (0-8)?
- Hungary ranks 1st out of 184 countries with data for 2019.
- Where does this Hungary data come from?
- The figures come from the World Bank, published as part of Registering property: Geographic coverage index (0-8) (DB16-20 methodology). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 5 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The geographic coverage index assesses the extent to which the land registry and cadastre provide complete geographic coverage of privately held land parcels. It has four components: (i) how complete the coverage of the land registry is at the level of the largest business city; (ii) how complete the coverage of the land registry is at the level of the economy; (iii) how complete the coverage of the mapping agency is at the level of the largest business city; and (iv) how complete the coverage of the mapping agency is at the level of the economy. The index is computed based on the methodology in the DB17-20 studies.