Control of Corruption in South Africa
South Africa: Control of Corruption was 0.1456 standard error in 2011. ▼ Falling
Control of Corruption in South Africa, 1996–2011
Source: World Bank Institute. Measured in standard error.
Analysis
The most recent figure for control of corruption in South Africa is 0.1456 standard error, measured in 2011.
Compared with earlier readings it is down 3.3% on the previous year and down 27.4% over ten years.
Over the whole period, control of corruption in South Africa peaked at 0.225 standard error in 1996 and was at its lowest, 0.1398 standard error, in 2006.
South Africa ranks 53rd of 53 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 13 years of available data.
Control of Corruption in South Africa, year by year
| Year | standard error | Change |
|---|---|---|
| 1996 | 0.225 standard error | — |
| 1998 | 0.1754 standard error | -22.1% |
| 2000 | 0.2005 standard error | +14.4% |
| 2002 | 0.1637 standard error | -18.4% |
| 2003 | 0.1701 standard error | +3.9% |
| 2004 | 0.1505 standard error | -11.5% |
| 2005 | 0.1544 standard error | +2.6% |
| 2006 | 0.1398 standard error | -9.5% |
| 2007 | 0.1444 standard error | +3.3% |
| 2008 | 0.1433 standard error | -0.8% |
| 2009 | 0.147 standard error | +2.6% |
| 2010 | 0.1505 standard error | +2.4% |
| 2011 | 0.1456 standard error | -3.3% |
South Africa compared with similar countries
- South Africa's 0.1456 standard error is below the median for upper middle income countries, which is 0.1842 standard error, 79% of the median. (8 countries reporting)
- South Africa's 0.1456 standard error is below the median for Sub-Saharan Africa, which is 0.1749 standard error, 83% of the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.2002 standard error | 0.1754 standard error | 0.225 standard error | 2 |
| 2000s | 0.1571 standard error | 0.1398 standard error | 0.2005 standard error | 9 |
| 2010s | 0.1481 standard error | 0.1456 standard error | 0.1505 standard error | 2 |
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 control of corruption in South Africa?
- Control of corruption in South Africa was 0.1456 standard error in 2011, according to World Bank Institute.
- What is the highest control of corruption recorded in South Africa?
- The highest recorded value was 0.225 standard error in 1996.
- What is the lowest control of corruption recorded in South Africa?
- The lowest recorded value was 0.1398 standard error in 2006.
- How does South Africa rank for control of corruption?
- South Africa ranks 53rd out of 53 countries with data for 2011.
- Is control of corruption rising or falling in South Africa?
- Over the last ten years it is down 27.4%. The long-run trend across the full record is falling.
- Where does this South Africa data come from?
- The figures come from World Bank Institute, published as part of Control of Corruption (standard error). Statizoid updates them automatically from the source API.
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CSV · JSON — 13 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
See definition GV.CONT.CO.ES. Inherent to all Governance Indicators is a margin of error, which might vary from country to country, normally attributable to two factors: (i) cross-country differences in the number of sources in which a country appears, and (ii) differences in the precision of the sources in which each country appears.