Registering property: Reliability of infrastructure index (0-8) (DB16-20 methodology) by country
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...
What the numbers show
Registering property: Reliability of infrastructure index (0-8) (DB16-20 methodology) is currently reported for 158 countries. The highest value is 8 DB16-20 methodology in United Arab Emirates; the lowest is 1 DB16-20 methodology in Zimbabwe.
The median across all reporting countries is 5 DB16-20 methodology, and the mean is 4.94 DB16-20 methodology.
The gap between the highest and lowest reporting country is a factor of about 8.
Registering property: Reliability of infrastructure index … 0-8: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United Arab Emirates | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Azerbaijan | 8 DB16-20 methodology | 2019 | — | rising |
| 1 | China | 8 DB16-20 methodology | 2019 | — | rising |
| 1 | Czechia | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Estonia | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Finland | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | United Kingdom | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Georgia | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Hong Kong | 8 DB16-20 methodology | 2019 | — | rising |
| 1 | Hungary | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Ireland | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Israel | 8 DB16-20 methodology | 2019 | — | rising |
| 1 | Italy | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Japan | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | South Korea | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Lithuania | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Luxembourg | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Latvia | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Moldova | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | North Macedonia | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | New Zealand | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Qatar | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Russia | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Rwanda | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Singapore | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Sweden | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Turkey | 8 DB16-20 methodology | 2019 | — | flat |
| 1 | Taiwan | 8 DB16-20 methodology | 2019 | — | flat |
| 29 | Armenia | 7 DB16-20 methodology | 2019 | — | rising |
| 29 | Australia | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Austria | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Belarus | 7 DB16-20 methodology | 2019 | — | rising |
| 29 | Bhutan | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Canada | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Switzerland | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Cyprus | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Germany | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Denmark | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Spain | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | France | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Iceland | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Jordan | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Kenya | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Morocco | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Montenegro | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Mauritius | 7 DB16-20 methodology | 2019 | — | rising |
| 29 | Malaysia | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Netherlands | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Norway | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Peru | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Poland | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Puerto Rico | 7 DB16-20 methodology | 2019 | — | rising |
| 29 | Uruguay | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | United States | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Kosovo | 7 DB16-20 methodology | 2019 | — | flat |
| 29 | Kosovo (UNSCR 1244) | 7 DB16-20 methodology | 2019 | — | flat |
| 57 | Albania | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Antigua and Barbuda | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Bulgaria | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Bahrain | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Colombia | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Dominican Republic | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Croatia | 6 DB16-20 methodology | 2019 | — | rising |
| 57 | Iran | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Kazakhstan | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Kyrgyzstan | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Malta | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Portugal | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Slovakia | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Slovenia | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Eswatini | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Seychelles | 6 DB16-20 methodology | 2019 | — | rising |
| 57 | Vietnam | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Vanuatu | 6 DB16-20 methodology | 2019 | — | flat |
| 57 | Samoa | 6 DB16-20 methodology | 2019 | — | flat |
| 76 | Argentina | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Belgium | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Bosnia and Herzegovina | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Belize | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Brunei | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Costa Rica | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Indonesia | 5 DB16-20 methodology | 2019 | — | rising |
| 76 | Jamaica | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Mexico | 5 DB16-20 methodology | 2019 | — | rising |
| 76 | Oman | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Palestine | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Romania | 5 DB16-20 methodology | 2019 | — | rising |
| 76 | Saudi Arabia | 5 DB16-20 methodology | 2019 | — | rising |
| 76 | El Salvador | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | San Marino | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Serbia | 5 DB16-20 methodology | 2019 | — | rising |
| 76 | Suriname | 5 DB16-20 methodology | 2019 | — | rising |
| 76 | Ukraine | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | Uzbekistan | 5 DB16-20 methodology | 2019 | — | flat |
| 76 | South Africa | 5 DB16-20 methodology | 2019 | — | flat |
| 96 | Brazil | 4.61 DB16-20 methodology | 2019 | — | flat |
| 97 | Nigeria | 4.08 DB16-20 methodology | 2019 | — | rising |
| 98 | Barbados | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Ecuador | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Fiji | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Guatemala | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Honduras | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Lebanon | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Mongolia | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Thailand | 4 DB16-20 methodology | 2019 | — | rising |
| 98 | Trinidad and Tobago | 4 DB16-20 methodology | 2019 | — | flat |
| 98 | Tunisia | 4 DB16-20 methodology | 2019 | — | flat |
| 108 | India | 3.88 DB16-20 methodology | 2019 | — | rising |
| 109 | Cote d'Ivoire | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Cape Verde | 3 DB16-20 methodology | 2019 | — | rising |
| 109 | Djibouti | 3 DB16-20 methodology | 2019 | — | rising |
| 109 | Kuwait | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Sri Lanka | 3 DB16-20 methodology | 2019 | — | volatile |
| 109 | Lesotho | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Panama | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Palau | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Paraguay | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Sudan | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Chad | 3 DB16-20 methodology | 2019 | — | flat |
| 109 | Uganda | 3 DB16-20 methodology | 2019 | — | flat |
| 121 | Pakistan | 2.1 DB16-20 methodology | 2019 | — | volatile |
| 122 | Burkina Faso | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Bolivia | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Chile | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Cameroon | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Comoros | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Egypt | 2 DB16-20 methodology | 2019 | — | volatile |
| 122 | Eritrea | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Cambodia | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Kiribati | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Laos | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Saint Lucia | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Mali | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Mozambique | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Mauritania | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Namibia | 2 DB16-20 methodology | 2019 | — | rising |
| 122 | Philippines | 2 DB16-20 methodology | 2019 | — | rising |
| 122 | Somalia | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Syria | 2 DB16-20 methodology | 2019 | — | flat |
| 122 | Tonga | 2 DB16-20 methodology | 2019 | — | flat |
| 141 | Angola | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Burundi | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Benin | 1 DB16-20 methodology | 2019 | — | volatile |
| 141 | Botswana | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Democratic Republic of Congo | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Algeria | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Ghana | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Gambia | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Grenada | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Guyana | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Iraq | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Saint Kitts and Nevis | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Madagascar | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Nepal | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Papua New Guinea | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Togo | 1 DB16-20 methodology | 2019 | — | volatile |
| 141 | Yemen | 1 DB16-20 methodology | 2019 | — | flat |
| 141 | Zimbabwe | 1 DB16-20 methodology | 2019 | — | flat |
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.