Enforcing contracts: Court automation (0-4) in Saint Lucia
Saint Lucia: Enforcing contracts: Court automation (0-4) was 1.5 DB17-20 methodology in 2019. ▬ Flat
Enforcing contracts: Court automation (0-4) in Saint Lucia, 2015–2019
Source: World Bank. Measured in DB17-20 methodology.
Analysis
In 2019, enforcing contracts: court automation (0-4) in Saint Lucia stood at 1.5 DB17-20 methodology. That is the highest value across all 5 years on record.
The figure is unchanged over five years.
Saint Lucia ranks 56th of 191 countries on this measure, in the middle of the range.
Enforcing contracts: Court automation (0-4) in Saint Lucia, year by year
| Year | DB17-20 methodology | Change |
|---|---|---|
| 2015 | 1.5 DB17-20 methodology | — |
| 2016 | 1.5 DB17-20 methodology | +0.0% |
| 2017 | 1.5 DB17-20 methodology | +0.0% |
| 2018 | 1.5 DB17-20 methodology | +0.0% |
| 2019 | 1.5 DB17-20 methodology | +0.0% |
Saint Lucia compared with similar countries
- Saint Lucia's 1.5 DB17-20 methodology is above the median for upper middle income countries, which is 1 DB17-20 methodology, 1.5× the median. (56 countries reporting)
- Saint Lucia's 1.5 DB17-20 methodology is above the median for Latin America & Caribbean, which is 0.5 DB17-20 methodology, 3.0× the median. (33 countries reporting)
Countries ranked near Saint Lucia
- 56 Antigua and Barbuda 1.5 DB17-20 methodology compare
- 56 Belize 1.5 DB17-20 methodology compare
- 56 Colombia 1.5 DB17-20 methodology compare
- 56 Dominica 1.5 DB17-20 methodology compare
- 56 Grenada 1.5 DB17-20 methodology compare
- 56 Malawi 1.5 DB17-20 methodology compare
- 56 New Zealand 1.5 DB17-20 methodology compare
- 56 Paraguay 1.5 DB17-20 methodology compare
- 56 Poland 1.5 DB17-20 methodology compare
- 56 San Marino 1.5 DB17-20 methodology compare
- 56 Serbia 1.5 DB17-20 methodology compare
- 56 Slovenia 1.5 DB17-20 methodology compare
- 56 Saint Kitts and Nevis 1.5 DB17-20 methodology compare
- 56 Saint Vincent and the Grenadines 1.5 DB17-20 methodology compare
More reference data data for Saint Lucia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0062 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0081 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0143 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0 (1979)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0143 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0208 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0131 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0405 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0745 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0 (1979)
Frequently asked questions
- What is enforcing contracts: court automation (0-4) in Saint Lucia?
- Enforcing contracts: court automation (0-4) in Saint Lucia was 1.5 DB17-20 methodology in 2019, according to the World Bank.
- What is the highest enforcing contracts: court automation (0-4) recorded in Saint Lucia?
- The highest recorded value was 1.5 DB17-20 methodology in 2015.
- What is the lowest enforcing contracts: court automation (0-4) recorded in Saint Lucia?
- The lowest recorded value was 1.5 DB17-20 methodology in 2015.
- How does Saint Lucia rank for enforcing contracts: court automation (0-4)?
- Saint Lucia ranks 56th out of 191 countries with data for 2019.
- Where does this Saint Lucia 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.
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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.