Registering property: Reliability of infrastructure index (0-8) in Malaysia
Malaysia: Registering property: Reliability of infrastructure index (0-8) was 7 DB16-20 methodology in 2019. ▬ Flat
Registering property: Reliability of infrastructure index (0-8) in Malaysia, 2015–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
Malaysia recorded 7 DB16-20 methodology for registering property: reliability of infrastructure index (0-8) in 2019. That is the highest value across all 5 years on record.
That represents a change of unchanged over five years.
Malaysia ranks 29th of 187 countries on this measure, in the top quarter.
Registering property: Reliability of infrastructure index (0-8) in Malaysia, year by year
| Year | DB16-20 methodology | Change |
|---|---|---|
| 2015 | 7 DB16-20 methodology | — |
| 2016 | 7 DB16-20 methodology | +0.0% |
| 2017 | 7 DB16-20 methodology | +0.0% |
| 2018 | 7 DB16-20 methodology | +0.0% |
| 2019 | 7 DB16-20 methodology | +0.0% |
Countries ranked near Malaysia
- 29 United States of America 7 DB16-20 methodology compare
- 29 Armenia 7 DB16-20 methodology compare
- 29 Australia 7 DB16-20 methodology compare
- 29 Austria 7 DB16-20 methodology compare
- 29 Belarus 7 DB16-20 methodology compare
- 29 Bhutan 7 DB16-20 methodology compare
- 29 Canada 7 DB16-20 methodology compare
- 29 Cyprus 7 DB16-20 methodology compare
- 29 Denmark 7 DB16-20 methodology compare
- 29 France 7 DB16-20 methodology compare
- 29 Germany 7 DB16-20 methodology compare
- 29 Iceland 7 DB16-20 methodology compare
- 29 Jordan 7 DB16-20 methodology compare
- 29 Kenya 7 DB16-20 methodology compare
- 29 Kosovo 7 DB16-20 methodology compare
- 29 Mauritius 7 DB16-20 methodology compare
- 29 Montenegro 7 DB16-20 methodology compare
- 29 Morocco 7 DB16-20 methodology compare
- 29 Netherlands 7 DB16-20 methodology compare
- 29 Norway 7 DB16-20 methodology compare
- 29 Peru 7 DB16-20 methodology compare
- 29 Poland 7 DB16-20 methodology compare
- 29 Puerto Rico 7 DB16-20 methodology compare
- 29 Spain 7 DB16-20 methodology compare
- 29 Switzerland 7 DB16-20 methodology compare
- 29 Uruguay 7 DB16-20 methodology compare
- 29 Kosovo (UNSCR 1244) 7 DB16-20 methodology compare
More private sector data for Malaysia
- Merchandise trade 151.7% (2025)
- Food imports 8.3% (2025)
- Manufactures imports 72.0% (2025)
- Merchandise imports 340.44 billion current US$ (2025)
- Food exports 10.4% (2025)
- Manufactures exports 72.7% (2025)
- Merchandise exports 376.04 billion current US$ (2025)
- Merchandise exports (current US$), per capita 10,452 current US$ per person (2025)
- Merchandise exports (current US$), per unit of GDP 0.7964 current US$ per US$ of GDP (2025)
- Merchandise exports (current US$), annual growth rate 13.69 % change on previous year (2025)
Frequently asked questions
- What is registering property: reliability of infrastructure index (0-8) in Malaysia?
- Registering property: reliability of infrastructure index (0-8) in Malaysia was 7 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest registering property: reliability of infrastructure index (0-8) recorded in Malaysia?
- The highest recorded value was 7 DB16-20 methodology in 2015.
- What is the lowest registering property: reliability of infrastructure index (0-8) recorded in Malaysia?
- The lowest recorded value was 7 DB16-20 methodology in 2015.
- How does Malaysia rank for registering property: reliability of infrastructure index (0-8)?
- Malaysia ranks 29th out of 187 countries with data for 2019.
- Where does this Malaysia 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.