Registering property: Transparency of information index (0-6) (DB16-20 methodology) by country
The transparency of information index evaluates whether the land administration system makes land-related information publicly available. It has ten components: (i) whether information on land ownership is made publicly available; (ii) whether the list of documents required for completing the registraΒtion of...
What the numbers show
Registering property: Transparency of information index (0-6) (DB16-20 methodology) is currently reported for 174 countries. The highest value is 6 DB16-20 methodology in United Kingdom; the lowest is 0.5 DB16-20 methodology in Lao People's Democratic Republic.
The median across all reporting countries is 3 DB16-20 methodology, and the mean is 3.11 DB16-20 methodology.
The gap between the highest and lowest reporting country is a factor of about 12.
Registering property: Transparency of information index (0-6): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United Kingdom | 6 DB16-20 methodology | 2019 | β | rising |
| 1 | Hong Kong (China) | 6 DB16-20 methodology | 2019 | β | rising |
| 1 | Mauritius | 6 DB16-20 methodology | 2019 | β | rising |
| 1 | Netherlands | 6 DB16-20 methodology | 2019 | β | flat |
| 1 | Peru | 6 DB16-20 methodology | 2019 | β | rising |
| 1 | Romania | 6 DB16-20 methodology | 2019 | β | flat |
| 1 | Russia | 6 DB16-20 methodology | 2019 | β | flat |
| 8 | Jamaica | 5.5 DB16-20 methodology | 2019 | β | flat |
| 8 | Singapore | 5.5 DB16-20 methodology | 2019 | β | rising |
| 8 | Slovak Republic | 5.5 DB16-20 methodology | 2019 | β | flat |
| 11 | Brazil | 5.2 DB16-20 methodology | 2019 | β | rising |
| 12 | Seychelles | 5 DB16-20 methodology | 2019 | β | rising |
| 13 | Armenia | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Bulgaria | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Belarus | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Ecuador | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Georgia | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Guatemala | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Ireland | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Israel | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Italy | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Korea | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Lithuania | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Latvia | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Republic of Moldova | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Myanmar | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Malaysia | 4.5 DB16-20 methodology | 2019 | β | falling |
| 13 | New Zealand | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Portugal | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Rwanda | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Serbia | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Suriname | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Sweden | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Thailand | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | Tunisia | 4.5 DB16-20 methodology | 2019 | β | rising |
| 13 | Vanuatu | 4.5 DB16-20 methodology | 2019 | β | flat |
| 13 | TaΓ―wan | 4.5 DB16-20 methodology | 2019 | β | flat |
| 38 | Pakistan | 4.2 DB16-20 methodology | 2019 | β | rising |
| 39 | Burkina Faso | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | Bosnia and Herzegovina | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | Brunei Darussalam | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | Democratic Republic of the Congo | 4 DB16-20 methodology | 2019 | β | flat |
| 39 | Cabo Verde | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | Czechia | 4 DB16-20 methodology | 2019 | β | flat |
| 39 | Estonia | 4 DB16-20 methodology | 2019 | β | flat |
| 39 | Iceland | 4 DB16-20 methodology | 2019 | β | flat |
| 39 | Japan | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | Kyrgyzstan | 4 DB16-20 methodology | 2019 | β | falling |
| 39 | Madagascar | 4 DB16-20 methodology | 2019 | β | falling |
| 39 | North Macedonia | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | Senegal | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | El Salvador | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | San Marino | 4 DB16-20 methodology | 2019 | β | flat |
| 39 | Eswatini | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | Togo | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | TΓΌrkiye | 4 DB16-20 methodology | 2019 | β | rising |
| 39 | South Africa | 4 DB16-20 methodology | 2019 | β | rising |
| 58 | China | 3.95 DB16-20 methodology | 2019 | β | flat |
| 59 | Mexico | 3.92 DB16-20 methodology | 2019 | β | flat |
| 60 | Benin | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Bangladesh | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Bahrain | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Chile | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Colombia | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Costa Rica | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Croatia | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Hungary | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Jordan | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Kazakhstan | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Luxembourg | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Malta | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Namibia | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Norway | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Qatar | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Slovenia | 3.5 DB16-20 methodology | 2019 | β | flat |
| 60 | Uganda | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Ukraine | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Uruguay | 3.5 DB16-20 methodology | 2019 | β | rising |
| 60 | Zimbabwe | 3.5 DB16-20 methodology | 2019 | β | rising |
| 80 | India | 3.44 DB16-20 methodology | 2019 | β | rising |
| 81 | United States | 3.2 DB16-20 methodology | 2019 | β | flat |
| 82 | Australia | 3 DB16-20 methodology | 2019 | β | falling |
| 82 | Austria | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Azerbaijan | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Belgium | 3 DB16-20 methodology | 2019 | β | falling |
| 82 | Canada | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Denmark | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Dominican Republic | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Egypt | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Spain | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Finland | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | France | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Ghana | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Guyana | 3 DB16-20 methodology | 2019 | β | rising |
| 82 | Indonesia | 3 DB16-20 methodology | 2019 | β | rising |
| 82 | Kenya | 3 DB16-20 methodology | 2019 | β | falling |
| 82 | Lebanon | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Lesotho | 3 DB16-20 methodology | 2019 | β | falling |
| 82 | Montenegro | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Panama | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Philippines | 3 DB16-20 methodology | 2019 | β | flat |
| 82 | Puerto Rico | 3 DB16-20 methodology | 2019 | β | rising |
| 82 | Uzbekistan | 3 DB16-20 methodology | 2019 | β | rising |
| 82 | Viet Nam | 3 DB16-20 methodology | 2019 | β | flat |
| 105 | Albania | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | United Arab Emirates | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Argentina | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Bahamas | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | Belize | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | Botswana | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | Switzerland | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | Cameroon | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | Cyprus | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | Honduras | 2.5 DB16-20 methodology | 2019 | β | falling |
| 105 | Kuwait | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Morocco | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Mongolia | 2.5 DB16-20 methodology | 2019 | β | falling |
| 105 | Nepal | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Oman | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Papua New Guinea | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Poland | 2.5 DB16-20 methodology | 2019 | β | falling |
| 105 | Saudi Arabia | 2.5 DB16-20 methodology | 2019 | β | rising |
| 105 | Syrian Arab Republic | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | United Republic of Tanzania | 2.5 DB16-20 methodology | 2019 | β | flat |
| 105 | Yemen | 2.5 DB16-20 methodology | 2019 | β | flat |
| 126 | Angola | 2 DB16-20 methodology | 2019 | β | flat |
| 126 | Barbados | 2 DB16-20 methodology | 2019 | β | flat |
| 126 | Bhutan | 2 DB16-20 methodology | 2019 | β | flat |
| 126 | CΓ΄te d'Ivoire | 2 DB16-20 methodology | 2019 | β | rising |
| 126 | Germany | 2 DB16-20 methodology | 2019 | β | flat |
| 126 | Guinea | 2 DB16-20 methodology | 2019 | β | rising |
| 126 | Gambia | 2 DB16-20 methodology | 2019 | β | rising |
| 126 | Saint Lucia | 2 DB16-20 methodology | 2019 | β | flat |
| 126 | Mauritania | 2 DB16-20 methodology | 2019 | β | rising |
| 126 | Nicaragua | 2 DB16-20 methodology | 2019 | β | falling |
| 126 | Palau | 2 DB16-20 methodology | 2019 | β | flat |
| 126 | Sierra Leone | 2 DB16-20 methodology | 2019 | β | falling |
| 138 | Antigua and Barbuda | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Bolivia (Plurinational State of) | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Djibouti | 1.5 DB16-20 methodology | 2019 | β | volatile |
| 138 | Dominica | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Algeria | 1.5 DB16-20 methodology | 2019 | β | rising |
| 138 | Ethiopia | 1.5 DB16-20 methodology | 2019 | β | volatile |
| 138 | Fiji | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Gabon | 1.5 DB16-20 methodology | 2019 | β | volatile |
| 138 | Greece | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Grenada | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Saint Kitts and Nevis | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Sri Lanka | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Mali | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Mozambique | 1.5 DB16-20 methodology | 2019 | β | falling |
| 138 | Malawi | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Niger | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Solomon Islands | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Sao Tome and Principe | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Chad | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Tonga | 1.5 DB16-20 methodology | 2019 | β | falling |
| 138 | Trinidad and Tobago | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Saint Vincent and the Grenadines | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Venezuela (Bolivarian Republic of) | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Samoa | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Kosovo | 1.5 DB16-20 methodology | 2019 | β | flat |
| 138 | Zambia | 1.5 DB16-20 methodology | 2019 | β | flat |
| 164 | Nigeria | 1.39 DB16-20 methodology | 2019 | β | rising |
| 165 | Congo | 1 DB16-20 methodology | 2019 | β | flat |
| 165 | Guinea-Bissau | 1 DB16-20 methodology | 2019 | β | flat |
| 165 | Iran (Islamic Republic of) | 1 DB16-20 methodology | 2019 | β | flat |
| 165 | Liberia | 1 DB16-20 methodology | 2019 | β | flat |
| 165 | Paraguay | 1 DB16-20 methodology | 2019 | β | flat |
| 165 | State of Palestine | 1 DB16-20 methodology | 2019 | β | rising |
| 165 | Tajikistan | 1 DB16-20 methodology | 2019 | β | flat |
| 172 | Iraq | 0.5 DB16-20 methodology | 2019 | β | flat |
| 172 | Cambodia | 0.5 DB16-20 methodology | 2019 | β | flat |
| 172 | Lao People's Democratic Republic | 0.5 DB16-20 methodology | 2019 | β | flat |
About this data
The transparency of information index evaluates whether the land administration system makes land-related information publicly available. It has ten components: (i) whether information on land ownership is made publicly available; (ii) whether the list of documents required for completing the registraΒtion of property transactions is made publicly available; (iii) whether the fee schedule for completing the registration of propΒerty transactions is made publicly available; (iv) whether the agency in charge of immovable property registration commits to a specific time frame for delivering a legally binding document that proves property ownership; (v) whether there is a specific and independent mechanism for filing complaints about a problem that occurred at the agency in charge of immovable property registration; (vi) whether there are publicly available official statistics tracking the number of transactions at the immovable property registration agency; (vii) whether maps of land plots are made publicly available; (viii) whether the fee schedule for accessing maps is made publicly available; and (ix) whether the mapping agency commits to a specific time frame for delivering an updated map; and (x) whether there is a specific and independent mechanism for filing complaints about a problem that occurred at the mapping agency. The index is computed based on the methodology in the DB17-20 studies.