Registering property: Reliability of infrastructure index (0-8) in Hungary
Hungary: Registering property: Reliability of infrastructure index (0-8) was 8 DB16-20 methodology in 2019. ▬ Flat
Registering property: Reliability of infrastructure index (0-8) in Hungary, 2015–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
In 2019, registering property: reliability of infrastructure index (0-8) in Hungary stood at 8 DB16-20 methodology. That is the highest value across all 5 years on record.
Compared with earlier readings it is unchanged over five years.
That places Hungary 1st out of 186 countries with data for 2019, putting it in the top 10%.
Registering property: Reliability of infrastructure index (0-8) in Hungary, year by year
| Year | DB16-20 methodology | Change |
|---|---|---|
| 2015 | 8 DB16-20 methodology | — |
| 2016 | 8 DB16-20 methodology | +0.0% |
| 2017 | 8 DB16-20 methodology | +0.0% |
| 2018 | 8 DB16-20 methodology | +0.0% |
| 2019 | 8 DB16-20 methodology | +0.0% |
Countries ranked near Hungary
- 1 China (People’s Republic of) 8 DB16-20 methodology compare
- 1 Russia 8 DB16-20 methodology compare
- 1 Japan 8 DB16-20 methodology compare
- 1 Azerbaijan 8 DB16-20 methodology compare
- 1 Czechia 8 DB16-20 methodology compare
- 1 Estonia 8 DB16-20 methodology compare
- 1 Finland 8 DB16-20 methodology compare
- 1 Georgia 8 DB16-20 methodology compare
- 1 Hong Kong, China 8 DB16-20 methodology compare
- 1 Ireland 8 DB16-20 methodology compare
- 1 Israel 8 DB16-20 methodology compare
- 1 Italy 8 DB16-20 methodology compare
- 1 Korea 8 DB16-20 methodology compare
- 1 Latvia 8 DB16-20 methodology compare
- 1 Lithuania 8 DB16-20 methodology compare
- 1 Luxembourg 8 DB16-20 methodology compare
- 1 Republic of Moldova 8 DB16-20 methodology compare
- 1 New Zealand 8 DB16-20 methodology compare
- 1 North Macedonia 8 DB16-20 methodology compare
- 1 Qatar 8 DB16-20 methodology compare
- 1 Rwanda 8 DB16-20 methodology compare
- 1 Singapore 8 DB16-20 methodology compare
- 1 Sweden 8 DB16-20 methodology compare
- 1 Taiwan, China 8 DB16-20 methodology compare
- 1 Türkiye 8 DB16-20 methodology compare
- 1 United Arab Emirates 8 DB16-20 methodology compare
- 1 United Kingdom 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)
- Merchandise exports (current US$), per capita 17,746 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.685 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate 6.01 % change on previous year (2025)
Frequently asked questions
- What is registering property: reliability of infrastructure index (0-8) in Hungary?
- Registering property: reliability of infrastructure index (0-8) in Hungary was 8 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest registering property: reliability of infrastructure index (0-8) recorded in Hungary?
- The highest recorded value was 8 DB16-20 methodology in 2015.
- What is the lowest registering property: reliability of infrastructure index (0-8) recorded in Hungary?
- The lowest recorded value was 8 DB16-20 methodology in 2015.
- How does Hungary rank for registering property: reliability of infrastructure index (0-8)?
- Hungary ranks 1st out of 186 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: Reliability of infrastructure 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 reliability of infrastructure index assesses whether the land registry and cadaster have adequate infrastructure to guarantee high standards and reduce the risk of errors. It has six components: (i) how land titles are kept at the registry of the largest business city of the economy; (ii) whether there is an electronic database for checking for encumbrances; (iii) how maps of land plots are kept at the mapping agency of the largest business city of the economy; (iv) whether there is a geographic information system—an electronic database for recording boundaries, checking plans and providing cadastral information; (v) how the land ownership registry and mapping agency are linked; and (vi) how immovable property is identified. The index is computed based on the methodology in the DB17-20 studies.