Regulatory Quality - Governance estimate in Guinea-Bissau
Guinea-Bissau: Regulatory Quality - Governance estimate was -1.19 approx. -2.5 to +2.5 in 2024. ▬ Flat
Regulatory Quality - 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
Guinea-Bissau recorded -1.19 approx. -2.5 to +2.5 for regulatory quality - governance estimate in 2024.
That represents a change of up 4.6% on the previous year and up 6.5% over ten years.
Over the whole period, regulatory quality - governance estimate in Guinea-Bissau peaked at -0.9327 approx. -2.5 to +2.5 in 2003 and was at its lowest, -1.61 approx. -2.5 to +2.5, in 1998.
Guinea-Bissau ranks 184th of 205 countries on this measure, in the bottom quarter.
Regulatory Quality - Governance estimate in Guinea-Bissau, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | -1.35 approx. -2.5 to +2.5 | — |
| 1998 | -1.61 approx. -2.5 to +2.5 | +19.3% |
| 2000 | -1.41 approx. -2.5 to +2.5 | -12.3% |
| 2002 | -0.9327 approx. -2.5 to +2.5 | -34.1% |
| 2003 | -0.9327 approx. -2.5 to +2.5 | -0.0% |
| 2004 | -1.46 approx. -2.5 to +2.5 | +56.5% |
| 2005 | -1.13 approx. -2.5 to +2.5 | -22.5% |
| 2006 | -1.04 approx. -2.5 to +2.5 | -8.4% |
| 2007 | -1.09 approx. -2.5 to +2.5 | +5.0% |
| 2008 | -1.12 approx. -2.5 to +2.5 | +3.0% |
| 2009 | -1.12 approx. -2.5 to +2.5 | -0.5% |
| 2010 | -1.08 approx. -2.5 to +2.5 | -3.1% |
| 2011 | -1.13 approx. -2.5 to +2.5 | +5.0% |
| 2012 | -1.33 approx. -2.5 to +2.5 | +17.0% |
| 2013 | -1.37 approx. -2.5 to +2.5 | +3.4% |
| 2014 | -1.27 approx. -2.5 to +2.5 | -7.4% |
| 2015 | -1.3 approx. -2.5 to +2.5 | +1.8% |
| 2016 | -1.26 approx. -2.5 to +2.5 | -2.6% |
| 2017 | -1.23 approx. -2.5 to +2.5 | -2.5% |
| 2018 | -1.25 approx. -2.5 to +2.5 | +1.8% |
| 2019 | -1.25 approx. -2.5 to +2.5 | -0.0% |
| 2020 | -1.29 approx. -2.5 to +2.5 | +3.2% |
| 2021 | -1.31 approx. -2.5 to +2.5 | +1.5% |
| 2022 | -1.31 approx. -2.5 to +2.5 | +0.1% |
| 2023 | -1.25 approx. -2.5 to +2.5 | -4.9% |
| 2024 | -1.19 approx. -2.5 to +2.5 | -4.6% |
Guinea-Bissau compared with similar countries
- Guinea-Bissau's -1.19 approx. -2.5 to +2.5 is below the median for low income countries, which is -1.06 approx. -2.5 to +2.5, 1.1× the median. (25 countries reporting)
- Guinea-Bissau's -1.19 approx. -2.5 to +2.5 is below the median for Sub-Saharan Africa, which is -0.7386 approx. -2.5 to +2.5, 1.6× the median. (48 countries reporting)
Biggest year-on-year movements
Years where Regulatory Quality - Governance estimate in Guinea-Bissau changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2004 | -56.5% | -0.9327 approx. -2.5 to +2.5 | -1.46 approx. -2.5 to +2.5 |
| 2002 | +34.1% | -1.41 approx. -2.5 to +2.5 | -0.9327 approx. -2.5 to +2.5 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -1.48 approx. -2.5 to +2.5 | -1.61 approx. -2.5 to +2.5 | -1.35 approx. -2.5 to +2.5 | 2 |
| 2000s | -1.14 approx. -2.5 to +2.5 | -1.46 approx. -2.5 to +2.5 | -0.9327 approx. -2.5 to +2.5 | 9 |
| 2010s | -1.25 approx. -2.5 to +2.5 | -1.37 approx. -2.5 to +2.5 | -1.08 approx. -2.5 to +2.5 | 10 |
| 2020s | -1.27 approx. -2.5 to +2.5 | -1.31 approx. -2.5 to +2.5 | -1.19 approx. -2.5 to +2.5 | 5 |
Countries ranked near Guinea-Bissau
More reference data data for Guinea-Bissau
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0583 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.3098 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.395 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0269 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.395 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1955 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.2346 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.56 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 2.15 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.1466 (2050)
Frequently asked questions
- What is regulatory quality - governance estimate in Guinea-Bissau?
- Regulatory quality - governance estimate in Guinea-Bissau was -1.19 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 regulatory quality - governance estimate recorded in Guinea-Bissau?
- The highest recorded value was -0.9327 approx. -2.5 to +2.5 in 2003.
- What is the lowest regulatory quality - governance estimate recorded in Guinea-Bissau?
- The lowest recorded value was -1.61 approx. -2.5 to +2.5 in 1998.
- How does Guinea-Bissau rank for regulatory quality - governance estimate?
- Guinea-Bissau ranks 184th out of 205 countries with data for 2024.
- Is regulatory quality - governance estimate rising or falling in Guinea-Bissau?
- Over the last ten years it is up 6.5%. The long-run trend across the full record is flat.
- 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 Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
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About this data
Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. 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.