Regulatory Quality - Governance estimate in Tanzania
Tanzania: Regulatory Quality - Governance estimate was -0.5354 approx. -2.5 to +2.5 in 2024. ▼ Falling
Regulatory Quality - Governance estimate in Tanzania, 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, regulatory quality - governance estimate in Tanzania stood at -0.5354 approx. -2.5 to +2.5.
The figure is up 9.4% on the previous year and down 26.6% over ten years.
Over the whole period, regulatory quality - governance estimate in Tanzania peaked at -0.3966 approx. -2.5 to +2.5 in 2007 and was at its lowest, -0.7951 approx. -2.5 to +2.5, in 2002.
That places Tanzania 142nd out of 205 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently falling across the 26 years of available data.
Regulatory Quality - Governance estimate in Tanzania, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | -0.6775 approx. -2.5 to +2.5 | — |
| 1998 | -0.5024 approx. -2.5 to +2.5 | -25.8% |
| 2000 | -0.5088 approx. -2.5 to +2.5 | +1.3% |
| 2002 | -0.7951 approx. -2.5 to +2.5 | +56.3% |
| 2003 | -0.7035 approx. -2.5 to +2.5 | -11.5% |
| 2004 | -0.5263 approx. -2.5 to +2.5 | -25.2% |
| 2005 | -0.4478 approx. -2.5 to +2.5 | -14.9% |
| 2006 | -0.3996 approx. -2.5 to +2.5 | -10.8% |
| 2007 | -0.3966 approx. -2.5 to +2.5 | -0.7% |
| 2008 | -0.4548 approx. -2.5 to +2.5 | +14.7% |
| 2009 | -0.419 approx. -2.5 to +2.5 | -7.9% |
| 2010 | -0.4198 approx. -2.5 to +2.5 | +0.2% |
| 2011 | -0.4342 approx. -2.5 to +2.5 | +3.4% |
| 2012 | -0.4849 approx. -2.5 to +2.5 | +11.7% |
| 2013 | -0.4354 approx. -2.5 to +2.5 | -10.2% |
| 2014 | -0.4227 approx. -2.5 to +2.5 | -2.9% |
| 2015 | -0.435 approx. -2.5 to +2.5 | +2.9% |
| 2016 | -0.4134 approx. -2.5 to +2.5 | -5.0% |
| 2017 | -0.5552 approx. -2.5 to +2.5 | +34.3% |
| 2018 | -0.6465 approx. -2.5 to +2.5 | +16.4% |
| 2019 | -0.6926 approx. -2.5 to +2.5 | +7.1% |
| 2020 | -0.7244 approx. -2.5 to +2.5 | +4.6% |
| 2021 | -0.6753 approx. -2.5 to +2.5 | -6.8% |
| 2022 | -0.6111 approx. -2.5 to +2.5 | -9.5% |
| 2023 | -0.5906 approx. -2.5 to +2.5 | -3.4% |
| 2024 | -0.5354 approx. -2.5 to +2.5 | -9.4% |
Tanzania compared with similar countries
- Tanzania's -0.5354 approx. -2.5 to +2.5 is above the median for lower middle income countries, which is -0.6314 approx. -2.5 to +2.5, 85% of the median. (47 countries reporting)
- Tanzania's -0.5354 approx. -2.5 to +2.5 is above the median for Sub-Saharan Africa, which is -0.7386 approx. -2.5 to +2.5, 72% of the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.5899 approx. -2.5 to +2.5 | -0.6775 approx. -2.5 to +2.5 | -0.5024 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.5168 approx. -2.5 to +2.5 | -0.7951 approx. -2.5 to +2.5 | -0.3966 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.494 approx. -2.5 to +2.5 | -0.6926 approx. -2.5 to +2.5 | -0.4134 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.6274 approx. -2.5 to +2.5 | -0.7244 approx. -2.5 to +2.5 | -0.5354 approx. -2.5 to +2.5 | 5 |
Countries ranked near Tanzania
- 139 Nauru -0.5245 approx. -2.5 to +2.5 compare
- 140 Burkina Faso -0.5256 approx. -2.5 to +2.5 compare
- 141 Uzbekistan -0.5267 approx. -2.5 to +2.5 compare
- 143 Nepal -0.5523 approx. -2.5 to +2.5 compare
- 144 Malawi -0.585 approx. -2.5 to +2.5 compare
- 145 Papua New Guinea -0.6004 approx. -2.5 to +2.5 compare
More reference data data for Tanzania
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6405 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 11.44 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 14.14 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.7582 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.14 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.15 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.26 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 59.37 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 72.45 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 4.13 (2050)
Frequently asked questions
- What is regulatory quality - governance estimate in Tanzania?
- Regulatory quality - governance estimate in Tanzania was -0.5354 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 Tanzania?
- The highest recorded value was -0.3966 approx. -2.5 to +2.5 in 2007.
- What is the lowest regulatory quality - governance estimate recorded in Tanzania?
- The lowest recorded value was -0.7951 approx. -2.5 to +2.5 in 2002.
- How does Tanzania rank for regulatory quality - governance estimate?
- Tanzania ranks 142nd out of 205 countries with data for 2024.
- Is regulatory quality - governance estimate rising or falling in Tanzania?
- Over the last ten years it is down 26.6%. The long-run trend across the full record is falling.
- Where does this Tanzania 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.