Registering property: Geographic coverage index (0-8) in Viet Nam
Viet Nam: Registering property: Geographic coverage index (0-8) was 0 DB16-20 methodology in 2019. ▬ Flat
Registering property: Geographic coverage index (0-8) in Viet Nam, 2015–2019
Source: World Bank. Measured in DB16-20 methodology.
Analysis
In 2019, registering property: geographic coverage index (0-8) in Viet Nam stood at 0 DB16-20 methodology. That is the highest value across all 5 years on record.
Viet Nam ranks 99th of 186 countries on this measure, in the middle of the range.
Countries ranked near Viet Nam
- 99 Bangladesh 0 DB16-20 methodology compare
- 99 India 0 DB16-20 methodology compare
- 99 Indonesia 0 DB16-20 methodology compare
- 99 Nigeria 0 DB16-20 methodology compare
- 99 Pakistan 0 DB16-20 methodology compare
- 99 Afghanistan 0 DB16-20 methodology compare
- 99 Albania 0 DB16-20 methodology compare
- 99 Algeria 0 DB16-20 methodology compare
- 99 Angola 0 DB16-20 methodology compare
- 99 Bahamas 0 DB16-20 methodology compare
- 99 Barbados 0 DB16-20 methodology compare
- 99 Belize 0 DB16-20 methodology compare
- 99 Benin 0 DB16-20 methodology compare
- 99 Bolivia 0 DB16-20 methodology compare
- 99 Burkina Faso 0 DB16-20 methodology compare
- 99 Burundi 0 DB16-20 methodology compare
- 99 Cabo Verde 0 DB16-20 methodology compare
- 99 Cambodia 0 DB16-20 methodology compare
- 99 Cameroon 0 DB16-20 methodology compare
- 99 Central African Republic 0 DB16-20 methodology compare
- 99 Chad 0 DB16-20 methodology compare
- 99 Comoros 0 DB16-20 methodology compare
- 99 Democratic Republic of the Congo 0 DB16-20 methodology compare
- 99 Congo 0 DB16-20 methodology compare
- 99 Côte d’Ivoire 0 DB16-20 methodology compare
- 99 Djibouti 0 DB16-20 methodology compare
- 99 Dominica 0 DB16-20 methodology compare
- 99 Dominican Republic 0 DB16-20 methodology compare
- 99 Egypt 0 DB16-20 methodology compare
- 99 El Salvador 0 DB16-20 methodology compare
- 99 Equatorial Guinea 0 DB16-20 methodology compare
- 99 Eritrea 0 DB16-20 methodology compare
- 99 Ethiopia 0 DB16-20 methodology compare
- 99 Gabon 0 DB16-20 methodology compare
- 99 Ghana 0 DB16-20 methodology compare
- 99 Greece 0 DB16-20 methodology compare
- 99 Grenada 0 DB16-20 methodology compare
- 99 Guatemala 0 DB16-20 methodology compare
- 99 Guinea 0 DB16-20 methodology compare
- 99 Guinea-Bissau 0 DB16-20 methodology compare
- 99 Guyana 0 DB16-20 methodology compare
- 99 Haiti 0 DB16-20 methodology compare
- 99 Honduras 0 DB16-20 methodology compare
- 99 Jamaica 0 DB16-20 methodology compare
- 99 Kazakhstan 0 DB16-20 methodology compare
- 99 Kenya 0 DB16-20 methodology compare
- 99 Lesotho 0 DB16-20 methodology compare
- 99 Liberia 0 DB16-20 methodology compare
- 99 Madagascar 0 DB16-20 methodology compare
- 99 Mali 0 DB16-20 methodology compare
- 99 Malta 0 DB16-20 methodology compare
- 99 Mauritania 0 DB16-20 methodology compare
- 99 Mongolia 0 DB16-20 methodology compare
- 99 Mozambique 0 DB16-20 methodology compare
- 99 Myanmar 0 DB16-20 methodology compare
- 99 Namibia 0 DB16-20 methodology compare
- 99 Nepal 0 DB16-20 methodology compare
- 99 Nicaragua 0 DB16-20 methodology compare
- 99 Niger 0 DB16-20 methodology compare
- 99 Panama 0 DB16-20 methodology compare
- 99 Papua New Guinea 0 DB16-20 methodology compare
- 99 Peru 0 DB16-20 methodology compare
- 99 Puerto Rico 0 DB16-20 methodology compare
- 99 Romania 0 DB16-20 methodology compare
- 99 Samoa 0 DB16-20 methodology compare
- 99 Sao Tome and Principe 0 DB16-20 methodology compare
- 99 Saudi Arabia 0 DB16-20 methodology compare
- 99 Senegal 0 DB16-20 methodology compare
- 99 Sierra Leone 0 DB16-20 methodology compare
- 99 Somalia 0 DB16-20 methodology compare
- 99 South Sudan 0 DB16-20 methodology compare
- 99 Sri Lanka 0 DB16-20 methodology compare
- 99 Saint Kitts and Nevis 0 DB16-20 methodology compare
- 99 Saint Vincent and the Grenadines 0 DB16-20 methodology compare
- 99 Sudan 0 DB16-20 methodology compare
- 99 Suriname 0 DB16-20 methodology compare
- 99 Syria 0 DB16-20 methodology compare
- 99 Tajikistan 0 DB16-20 methodology compare
- 99 Tanzania 0 DB16-20 methodology compare
- 99 Togo 0 DB16-20 methodology compare
- 99 Tunisia 0 DB16-20 methodology compare
- 99 Uganda 0 DB16-20 methodology compare
- 99 Ukraine 0 DB16-20 methodology compare
- 99 Venezuela 0 DB16-20 methodology compare
- 99 Yemen 0 DB16-20 methodology compare
- 99 Zambia 0 DB16-20 methodology compare
- 99 Zimbabwe 0 DB16-20 methodology compare
More private sector data for Viet Nam
- Merchandise trade 180.0% (2025)
- Food imports 8.8% (2023)
- Manufactures imports 74.7% (2023)
- Merchandise imports 453.78 billion current US$ (2025)
- Food exports 9.4% (2023)
- Manufactures exports 85.0% (2023)
- Merchandise exports 472.93 billion current US$ (2025)
- Commercial service exports 25.02 billion current US$ (2024)
- Commercial service imports 35.60 billion current US$ (2024)
- Merchandise imports from economies in the Arab World 2.6% (2023)
Frequently asked questions
- What is registering property: geographic coverage index (0-8) in Viet Nam?
- Registering property: geographic coverage index (0-8) in Viet Nam was 0 DB16-20 methodology in 2019, according to the World Bank.
- What is the highest registering property: geographic coverage index (0-8) recorded in Viet Nam?
- The highest recorded value was 0 DB16-20 methodology in 2015.
- What is the lowest registering property: geographic coverage index (0-8) recorded in Viet Nam?
- The lowest recorded value was 0 DB16-20 methodology in 2015.
- How does Viet Nam rank for registering property: geographic coverage index (0-8)?
- Viet Nam ranks 99th out of 186 countries with data for 2019.
- Where does this Viet Nam data come from?
- The figures come from the World Bank, published as part of Registering property: Geographic coverage index (0-8) (DB16-20 methodology). Statizoid updates them automatically from the source API.
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About this data
The geographic coverage index assesses the extent to which the land registry and cadastre provide complete geographic coverage of privately held land parcels. It has four components: (i) how complete the coverage of the land registry is at the level of the largest business city; (ii) how complete the coverage of the land registry is at the level of the economy; (iii) how complete the coverage of the mapping agency is at the level of the largest business city; and (iv) how complete the coverage of the mapping agency is at the level of the economy. The index is computed based on the methodology in the DB17-20 studies.