Voice and Accountability in South Africa
South Africa: Voice and Accountability was 0.1096 standard error in 2011. ▼ Falling
Voice and Accountability in South Africa, 1996–2011
Source: World Bank Institute. Measured in standard error.
Analysis
The most recent figure for voice and accountability in South Africa is 0.1096 standard error, measured in 2011.
Compared with earlier readings it is up 1.3% on the previous year and down 46.7% over ten years.
Over the whole period, voice and accountability in South Africa peaked at 0.2306 standard error in 1998 and was at its lowest, 0.1081 standard error, in 2008.
That places South Africa 53rd out of 53 countries with data for 2011, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 13 years of available data.
Voice and Accountability in South Africa, year by year
| Year | standard error | Change |
|---|---|---|
| 1996 | 0.2202 standard error | — |
| 1998 | 0.2306 standard error | +4.7% |
| 2000 | 0.2056 standard error | -10.8% |
| 2002 | 0.1617 standard error | -21.4% |
| 2003 | 0.1572 standard error | -2.8% |
| 2004 | 0.1615 standard error | +2.8% |
| 2005 | 0.1387 standard error | -14.1% |
| 2006 | 0.1082 standard error | -22.0% |
| 2007 | 0.1103 standard error | +2.0% |
| 2008 | 0.1081 standard error | -2.0% |
| 2009 | 0.1089 standard error | +0.7% |
| 2010 | 0.1083 standard error | -0.6% |
| 2011 | 0.1096 standard error | +1.3% |
South Africa compared with similar countries
- South Africa's 0.1096 standard error is below the median for upper middle income countries, which is 0.1309 standard error, 84% of the median. (8 countries reporting)
- South Africa's 0.1096 standard error is below the median for Sub-Saharan Africa, which is 0.1248 standard error, 88% of the median. (47 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.2254 standard error | 0.2202 standard error | 0.2306 standard error | 2 |
| 2000s | 0.14 standard error | 0.1081 standard error | 0.2056 standard error | 9 |
| 2010s | 0.1089 standard error | 0.1083 standard error | 0.1096 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 voice and accountability in South Africa?
- Voice and accountability in South Africa was 0.1096 standard error in 2011, according to World Bank Institute.
- What is the highest voice and accountability recorded in South Africa?
- The highest recorded value was 0.2306 standard error in 1998.
- What is the lowest voice and accountability recorded in South Africa?
- The lowest recorded value was 0.1081 standard error in 2008.
- How does South Africa rank for voice and accountability?
- South Africa ranks 53rd out of 53 countries with data for 2011.
- Is voice and accountability rising or falling in South Africa?
- Over the last ten years it is down 46.7%. 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 Voice and Accountability (standard error). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 13 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
See definition GV.VOIC.AC.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.