Enforcing contracts: Court automation (0-4) in Chad
Chad: Enforcing contracts: Court automation (0-4) was 0 DB17-20 methodology in 2019. ▬ Flat
Enforcing contracts: Court automation (0-4) in Chad, 2015–2019
Source: World Bank. Measured in DB17-20 methodology.
Analysis
The most recent figure for enforcing contracts: court automation (0-4) in Chad is 0 DB17-20 methodology, measured in 2019. That is the highest value across all 5 years on record.
That places Chad 118th out of 188 countries with data for 2019, putting it in the middle of the range.
Countries ranked near Chad
- 118 Nigeria 0 DB17-20 methodology compare
- 118 Russia 0 DB17-20 methodology compare
- 118 Afghanistan 0 DB17-20 methodology compare
- 118 Algeria 0 DB17-20 methodology compare
- 118 Angola 0 DB17-20 methodology compare
- 118 Belarus 0 DB17-20 methodology compare
- 118 Belgium 0 DB17-20 methodology compare
- 118 Benin 0 DB17-20 methodology compare
- 118 Bhutan 0 DB17-20 methodology compare
- 118 Bolivia 0 DB17-20 methodology compare
- 118 Bosnia and Herzegovina 0 DB17-20 methodology compare
- 118 Botswana 0 DB17-20 methodology compare
- 118 Burkina Faso 0 DB17-20 methodology compare
- 118 Burundi 0 DB17-20 methodology compare
- 118 Cape Verde 0 DB17-20 methodology compare
- 118 Cambodia 0 DB17-20 methodology compare
- 118 Cameroon 0 DB17-20 methodology compare
- 118 Central African Republic 0 DB17-20 methodology compare
- 118 Comoros 0 DB17-20 methodology compare
- 118 Democratic Republic of Congo 0 DB17-20 methodology compare
- 118 Congo 0 DB17-20 methodology compare
- 118 Cote d'Ivoire 0 DB17-20 methodology compare
- 118 Dominican Republic 0 DB17-20 methodology compare
- 118 Ecuador 0 DB17-20 methodology compare
- 118 Egypt 0 DB17-20 methodology compare
- 118 Equatorial Guinea 0 DB17-20 methodology compare
- 118 Eritrea 0 DB17-20 methodology compare
- 118 Ethiopia 0 DB17-20 methodology compare
- 118 Gabon 0 DB17-20 methodology compare
- 118 Gambia 0 DB17-20 methodology compare
- 118 Ghana 0 DB17-20 methodology compare
- 118 Guinea 0 DB17-20 methodology compare
- 118 Guinea-Bissau 0 DB17-20 methodology compare
- 118 Guyana 0 DB17-20 methodology compare
- 118 Haiti 0 DB17-20 methodology compare
- 118 Honduras 0 DB17-20 methodology compare
- 118 Iraq 0 DB17-20 methodology compare
- 118 Kuwait 0 DB17-20 methodology compare
- 118 Kyrgyzstan 0 DB17-20 methodology compare
- 118 Laos 0 DB17-20 methodology compare
- 118 Lebanon 0 DB17-20 methodology compare
- 118 Liberia 0 DB17-20 methodology compare
- 118 Libya 0 DB17-20 methodology compare
- 118 Madagascar 0 DB17-20 methodology compare
- 118 Mali 0 DB17-20 methodology compare
- 118 Morocco 0 DB17-20 methodology compare
- 118 Mozambique 0 DB17-20 methodology compare
- 118 Myanmar 0 DB17-20 methodology compare
- 118 Nepal 0 DB17-20 methodology compare
- 118 Nicaragua 0 DB17-20 methodology compare
- 118 Niger 0 DB17-20 methodology compare
- 118 Oman 0 DB17-20 methodology compare
- 118 Peru 0 DB17-20 methodology compare
- 118 Philippines 0 DB17-20 methodology compare
- 118 Qatar 0 DB17-20 methodology compare
- 118 Sao Tome and Principe 0 DB17-20 methodology compare
- 118 Senegal 0 DB17-20 methodology compare
- 118 Sierra Leone 0 DB17-20 methodology compare
- 118 Somalia 0 DB17-20 methodology compare
- 118 South Sudan 0 DB17-20 methodology compare
- 118 Sudan 0 DB17-20 methodology compare
- 118 Suriname 0 DB17-20 methodology compare
- 118 Syria 0 DB17-20 methodology compare
- 118 Tajikistan 0 DB17-20 methodology compare
- 118 Tanzania 0 DB17-20 methodology compare
- 118 East Timor 0 DB17-20 methodology compare
- 118 Togo 0 DB17-20 methodology compare
- 118 Tunisia 0 DB17-20 methodology compare
- 118 Palestine 0 DB17-20 methodology compare
- 118 Yemen 0 DB17-20 methodology compare
More reference data data for Chad
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.01 (2050)
- Summer temperature anomalies 1 °C (2026)
- Temperature anomalies by month 3.03 °C (2026)
- Spring temperature anomalies 0.1244 °C (2026)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 146.4 (2050)
- Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.7242 (2050)
- Emission Totals - Direct emissions (N2O) - IPCC Agriculture 46.55 (2050)
- Emission Totals - Direct emissions (N2O) - Crop Residues 0.7988 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 30.4 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 15,516 (2050)
Frequently asked questions
- What is enforcing contracts: court automation (0-4) in Chad?
- Enforcing contracts: court automation (0-4) in Chad was 0 DB17-20 methodology in 2019, according to the World Bank.
- What is the highest enforcing contracts: court automation (0-4) recorded in Chad?
- The highest recorded value was 0 DB17-20 methodology in 2015.
- What is the lowest enforcing contracts: court automation (0-4) recorded in Chad?
- The lowest recorded value was 0 DB17-20 methodology in 2015.
- How does Chad rank for enforcing contracts: court automation (0-4)?
- Chad ranks 118th out of 188 countries with data for 2019.
- Where does this Chad data come from?
- The figures come from the World Bank, published as part of Enforcing contracts: Court automation (0-4) (DB17-20 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 court automation evaluates four aspects: (i) whether the initial complaint can be filed electronically; (ii) whether the initial complaint can be served electronically; (iii) whether court fees can be paid electronically; and (iv) whether judgments rendered in commercial matters are made available to the public. The index is computed based on the methodology in the DB17-20 studies.