Enforcing contracts: Court automation (0-4) in South Africa
South Africa: Enforcing contracts: Court automation (0-4) was 0.5 DB17-20 methodology in 2019. β¬ Flat
Enforcing contracts: Court automation (0-4) in South Africa, 2015β2019
Source: World Bank. Measured in DB17-20 methodology.
Analysis
In 2019, enforcing contracts: court automation (0-4) in South Africa stood at 0.5 DB17-20 methodology. That is the highest value across all 5 years on record.
Compared with earlier readings it is unchanged over five years.
That places South Africa 90th out of 190 countries with data for 2019, putting it in the middle of the range.
Countries ranked near South Africa
- 89 Indonesia 0.61 DB17-20 methodology compare
- 90 Bangladesh 0.5 DB17-20 methodology compare
- 90 Pakistan 0.5 DB17-20 methodology compare
- 90 Mexico 0.5 DB17-20 methodology compare
- 90 Bahamas 0.5 DB17-20 methodology compare
- 90 Barbados 0.5 DB17-20 methodology compare
- 90 Costa Rica 0.5 DB17-20 methodology compare
- 90 El Salvador 0.5 DB17-20 methodology compare
- 90 Eswatini 0.5 DB17-20 methodology compare
- 90 Fiji 0.5 DB17-20 methodology compare
- 90 Guatemala 0.5 DB17-20 methodology compare
- 90 Ireland 0.5 DB17-20 methodology compare
- 90 Jamaica 0.5 DB17-20 methodology compare
- 90 Kenya 0.5 DB17-20 methodology compare
- 90 Kiribati 0.5 DB17-20 methodology compare
- 90 Lesotho 0.5 DB17-20 methodology compare
- 90 Luxembourg 0.5 DB17-20 methodology compare
- 90 Marshall Islands 0.5 DB17-20 methodology compare
- 90 Micronesia, Federated States of 0.5 DB17-20 methodology compare
- 90 Samoa 0.5 DB17-20 methodology compare
- 90 Seychelles 0.5 DB17-20 methodology compare
- 90 Sri Lanka 0.5 DB17-20 methodology compare
- 90 Tonga 0.5 DB17-20 methodology compare
- 90 Trinidad and Tobago 0.5 DB17-20 methodology compare
- 90 Uganda 0.5 DB17-20 methodology compare
- 90 Vanuatu 0.5 DB17-20 methodology compare
- 90 Zambia 0.5 DB17-20 methodology compare
- 90 Zimbabwe 0.5 DB17-20 methodology compare
More reference data data for South Africa
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5111 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 8.71 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 13.63 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.7468 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 13.63 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.71 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.49 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 41.1 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 63.65 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 4.07 (2050)
Frequently asked questions
- What is enforcing contracts: court automation (0-4) in South Africa?
- Enforcing contracts: court automation (0-4) in South Africa was 0.5 DB17-20 methodology in 2019, according to the World Bank.
- What is the highest enforcing contracts: court automation (0-4) recorded in South Africa?
- The highest recorded value was 0.5 DB17-20 methodology in 2015.
- What is the lowest enforcing contracts: court automation (0-4) recorded in South Africa?
- The lowest recorded value was 0.5 DB17-20 methodology in 2015.
- How does South Africa rank for enforcing contracts: court automation (0-4)?
- South Africa ranks 90th out of 190 countries with data for 2019.
- Where does this South Africa 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 Β· JSON β 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.