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 186 countries. The highest value is 8 DB16-20 methodology in United Arab Emirates; the lowest is 0 DB16-20 methodology in Zambia.
The median across all reporting countries is 5 DB16-20 methodology, and the mean is 4.16 DB16-20 methodology.
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 | β | flat |
| 1 | Azerbaijan, Republic of | 8 DB16-20 methodology | 2019 | β | rising |
| 1 | China, People's Republic of | 8 DB16-20 methodology | 2019 | β | rising |
| 1 | Czechia | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Estonia | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Finland | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | United Kingdom | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Georgia | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Hong Kong (China) | 8 DB16-20 methodology | 2019 | β | rising |
| 1 | Hungary | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Ireland | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Israel | 8 DB16-20 methodology | 2019 | β | rising |
| 1 | Italy | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Japan | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Korea | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Lithuania | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Luxembourg | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Latvia | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Moldova, Republic of | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | North Macedonia, Republic of | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | New Zealand | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Qatar | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Russian Federation | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Rwanda | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Singapore | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Sweden | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | TΓΌrkiye | 8 DB16-20 methodology | 2019 | β | flat |
| 1 | Taiwan Province of China | 8 DB16-20 methodology | 2019 | β | flat |
| 29 | Armenia, Republic of | 7 DB16-20 methodology | 2019 | β | rising |
| 29 | Australia | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Austria | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Belarus, Republic of | 7 DB16-20 methodology | 2019 | β | rising |
| 29 | Bhutan | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Canada | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Switzerland | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Cyprus | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Germany | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Denmark | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Spain | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | France | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Iceland | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Jordan | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Kenya | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Morocco | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Montenegro | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Mauritius | 7 DB16-20 methodology | 2019 | β | rising |
| 29 | Malaysia | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Netherlands | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Norway | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Peru | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Poland | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Puerto Rico | 7 DB16-20 methodology | 2019 | β | rising |
| 29 | Uruguay | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | United States | 7 DB16-20 methodology | 2019 | β | flat |
| 29 | Kosovo | 7 DB16-20 methodology | 2019 | β | flat |
| 56 | Albania | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Antigua and Barbuda | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Bulgaria | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Bahrain, Kingdom of | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Colombia | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Dominican Republic | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Croatia, Republic of | 6 DB16-20 methodology | 2019 | β | rising |
| 56 | Iran, Islamic Republic of | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Kazakhstan, Republic of | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Kyrgyz Republic | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Malta | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Portugal | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Slovak Republic | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Slovenia | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Eswatini, Kingdom of | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Seychelles | 6 DB16-20 methodology | 2019 | β | rising |
| 56 | Vietnam | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Vanuatu | 6 DB16-20 methodology | 2019 | β | flat |
| 56 | Samoa | 6 DB16-20 methodology | 2019 | β | flat |
| 75 | Argentina | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Belgium | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Bosnia and Herzegovina | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Belize | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Brunei Darussalam | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Costa Rica | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Indonesia | 5 DB16-20 methodology | 2019 | β | rising |
| 75 | Jamaica | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Mexico | 5 DB16-20 methodology | 2019 | β | rising |
| 75 | Oman | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Palestine | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Romania | 5 DB16-20 methodology | 2019 | β | rising |
| 75 | Saudi Arabia | 5 DB16-20 methodology | 2019 | β | rising |
| 75 | El Salvador | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | San Marino, Republic of | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Serbia, Republic of | 5 DB16-20 methodology | 2019 | β | rising |
| 75 | Suriname | 5 DB16-20 methodology | 2019 | β | rising |
| 75 | Ukraine | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | Uzbekistan, Republic of | 5 DB16-20 methodology | 2019 | β | flat |
| 75 | South Africa | 5 DB16-20 methodology | 2019 | β | flat |
| 95 | Brazil | 4.61 DB16-20 methodology | 2019 | β | flat |
| 96 | Nigeria | 4.08 DB16-20 methodology | 2019 | β | rising |
| 97 | Barbados | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Ecuador | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Fiji, Republic of | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Guatemala | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Honduras | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Lebanon | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Mongolia | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Thailand | 4 DB16-20 methodology | 2019 | β | rising |
| 97 | Trinidad and Tobago | 4 DB16-20 methodology | 2019 | β | flat |
| 97 | Tunisia | 4 DB16-20 methodology | 2019 | β | flat |
| 107 | India | 3.88 DB16-20 methodology | 2019 | β | rising |
| 108 | CΓ΄te d'Ivoire | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Cabo Verde | 3 DB16-20 methodology | 2019 | β | rising |
| 108 | Djibouti | 3 DB16-20 methodology | 2019 | β | rising |
| 108 | Kuwait | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Sri Lanka | 3 DB16-20 methodology | 2019 | β | volatile |
| 108 | Lesotho, Kingdom of | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Panama | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Palau, Republic of | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Paraguay | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Sudan | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Chad | 3 DB16-20 methodology | 2019 | β | flat |
| 108 | Uganda | 3 DB16-20 methodology | 2019 | β | flat |
| 120 | Pakistan | 2.1 DB16-20 methodology | 2019 | β | volatile |
| 121 | Burkina Faso | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Bolivia | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Chile | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Cameroon | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Comoros, Union of the | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Egypt, Arab Republic of | 2 DB16-20 methodology | 2019 | β | volatile |
| 121 | Eritrea, The State of | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Cambodia | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Kiribati | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Lao People's Democratic Republic | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | St. Lucia | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Mali | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Mozambique, Republic of | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Mauritania, Islamic Republic of | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Namibia | 2 DB16-20 methodology | 2019 | β | rising |
| 121 | Philippines | 2 DB16-20 methodology | 2019 | β | rising |
| 121 | Somalia | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Syrian Arab Republic | 2 DB16-20 methodology | 2019 | β | flat |
| 121 | Tonga | 2 DB16-20 methodology | 2019 | β | flat |
| 140 | Angola | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Burundi | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Benin | 1 DB16-20 methodology | 2019 | β | volatile |
| 140 | Botswana | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Congo, Democratic Republic of the | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Algeria | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Ghana | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Gambia, The | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Grenada | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Guyana | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Iraq | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | St. Kitts and Nevis | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Madagascar, Republic of | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Nepal | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Papua New Guinea | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Togo | 1 DB16-20 methodology | 2019 | β | volatile |
| 140 | Yemen, Republic of | 1 DB16-20 methodology | 2019 | β | flat |
| 140 | Zimbabwe | 1 DB16-20 methodology | 2019 | β | flat |
| 158 | Afghanistan, Islamic Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Bangladesh | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Bahamas, The | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Central African Republic | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Congo, Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Dominica | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Ethiopia, The Federal Democratic Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Gabon | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Guinea | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Guinea-Bissau | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Equatorial Guinea, Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Greece | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Haiti | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Liberia | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Maldives | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Myanmar | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Malawi | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Niger | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Nicaragua | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Senegal | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Solomon Islands | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Sierra Leone | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | South Sudan, Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | SΓ£o TomΓ© and PrΓncipe, Democratic Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Tajikistan, Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Tanzania, United Republic of | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | St. Vincent and the Grenadines | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Venezuela, RepΓΊblica Bolivariana de | 0 DB16-20 methodology | 2019 | β | flat |
| 158 | Zambia | 0 DB16-20 methodology | 2019 | β | 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 systemβan 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.