Control of Corruption - Governance estimate in Guinea-Bissau
Guinea-Bissau: Control of Corruption - Governance estimate was -1.35 approx. -2.5 to +2.5 in 2024. ▼ Falling
Control of Corruption - Governance estimate in Guinea-Bissau, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
In 2024, control of corruption - governance estimate in Guinea-Bissau stood at -1.35 approx. -2.5 to +2.5.
That represents a change of down 16.5% on the previous year and up 15.2% over ten years.
Over the whole period, control of corruption - governance estimate in Guinea-Bissau peaked at -0.817 approx. -2.5 to +2.5 in 2000 and was at its lowest, -1.66 approx. -2.5 to +2.5, in 2017.
That places Guinea-Bissau 188th out of 204 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -1.01 approx. -2.5 to +2.5 | -1.01 approx. -2.5 to +2.5 | -1.01 approx. -2.5 to +2.5 | 2 |
| 2000s | -1.08 approx. -2.5 to +2.5 | -1.15 approx. -2.5 to +2.5 | -0.817 approx. -2.5 to +2.5 | 9 |
| 2010s | -1.45 approx. -2.5 to +2.5 | -1.66 approx. -2.5 to +2.5 | -1.12 approx. -2.5 to +2.5 | 10 |
| 2020s | -1.24 approx. -2.5 to +2.5 | -1.35 approx. -2.5 to +2.5 | -1.15 approx. -2.5 to +2.5 | 5 |
Countries ranked near Guinea-Bissau
More reference data data for Guinea-Bissau
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 8.01 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.395 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 41.61 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 884.87 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 1.69 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0269 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 109.53 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 51.8 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 2.15 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 413.82 (2050)
Frequently asked questions
- What is control of corruption - governance estimate in Guinea-Bissau?
- Control of corruption - governance estimate in Guinea-Bissau was -1.35 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest control of corruption - governance estimate recorded in Guinea-Bissau?
- The highest recorded value was -0.817 approx. -2.5 to +2.5 in 2000.
- What is the lowest control of corruption - governance estimate recorded in Guinea-Bissau?
- The lowest recorded value was -1.66 approx. -2.5 to +2.5 in 2017.
- How does Guinea-Bissau rank for control of corruption - governance estimate?
- Guinea-Bissau ranks 188th out of 204 countries with data for 2024.
- Is control of corruption - governance estimate rising or falling in Guinea-Bissau?
- Over the last ten years it is up 15.2%. The long-run trend across the full record is falling.
- Where does this Guinea-Bissau data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Control of Corruption - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Control of Corruption (CC) captures perceptions of the extent to which public power is used for private gain, including both petty and grand corruption, as well as capture of the state by elites and private interests. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.