Enforcing contracts: Court automation (0-4) in Maldives
Maldives: Enforcing contracts: Court automation (0-4) was 1 DB17-20 methodology in 2019. ▬ Flat
Enforcing contracts: Court automation (0-4) in Maldives, 2015–2019
Source: World Bank. Measured in DB17-20 methodology.
Analysis
The most recent figure for enforcing contracts: court automation (0-4) in Maldives is 1 DB17-20 methodology, measured in 2019. That is the highest value across all 5 years on record.
The figure is unchanged over five years.
Maldives ranks 71st of 191 countries on this measure, in the middle of the range.
Enforcing contracts: Court automation (0-4) in Maldives, year by year
| Year | DB17-20 methodology | Change |
|---|---|---|
| 2015 | 1 DB17-20 methodology | — |
| 2016 | 1 DB17-20 methodology | +0.0% |
| 2017 | 1 DB17-20 methodology | +0.0% |
| 2018 | 1 DB17-20 methodology | +0.0% |
| 2019 | 1 DB17-20 methodology | +0.0% |
Maldives compared with similar countries
- Maldives's 1 DB17-20 methodology is above the median for upper middle income countries, which is 1 DB17-20 methodology, 1.0× the median. (56 countries reporting)
- Maldives's 1 DB17-20 methodology is above the median for South Asia, which is 0.5 DB17-20 methodology, 2.0× the median. (6 countries reporting)
Countries ranked near Maldives
- 71 Japan 1 DB17-20 methodology compare
- 71 Albania 1 DB17-20 methodology compare
- 71 Bahrain 1 DB17-20 methodology compare
- 71 Cyprus 1 DB17-20 methodology compare
- 71 Hong Kong 1 DB17-20 methodology compare
- 71 Iran 1 DB17-20 methodology compare
- 71 Jordan 1 DB17-20 methodology compare
- 71 Malta 1 DB17-20 methodology compare
- 71 Mauritania 1 DB17-20 methodology compare
- 71 Mongolia 1 DB17-20 methodology compare
- 71 Montenegro 1 DB17-20 methodology compare
- 71 Panama 1 DB17-20 methodology compare
- 71 Papua New Guinea 1 DB17-20 methodology compare
- 71 Thailand 1 DB17-20 methodology compare
- 71 Uruguay 1 DB17-20 methodology compare
- 71 Venezuela 1 DB17-20 methodology compare
- 71 Vietnam 1 DB17-20 methodology compare
More reference data data for Maldives
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0011 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0011 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0044 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0044 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 1.16 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 0.012 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop 0.0004 (2050)
Frequently asked questions
- What is enforcing contracts: court automation (0-4) in Maldives?
- Enforcing contracts: court automation (0-4) in Maldives was 1 DB17-20 methodology in 2019, according to the World Bank.
- What is the highest enforcing contracts: court automation (0-4) recorded in Maldives?
- The highest recorded value was 1 DB17-20 methodology in 2015.
- What is the lowest enforcing contracts: court automation (0-4) recorded in Maldives?
- The lowest recorded value was 1 DB17-20 methodology in 2015.
- How does Maldives rank for enforcing contracts: court automation (0-4)?
- Maldives ranks 71st out of 191 countries with data for 2019.
- Where does this Maldives 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.