Mauritania vs Tunisia: Political Stability - Governance estimate (approx. -2.5 to +2.5)

Mauritania
-0.6544 approx. -2.5 to +2.5
in 2025
Tunisia
-0.6979 approx. -2.5 to +2.5
in 2025
Mauritania rank
166th
Tunisia rank
168th

Political Stability - Governance estimate (approx. -2.5 to +2.5) over time

  • Mauritania
  • Tunisia
-1-0.500.5199620102025

How they compare

Mauritania currently reports -0.6544 approx. -2.5 to +2.5 against -0.6979 approx. -2.5 to +2.5 in Tunisia, a difference of 0.0435 approx. -2.5 to +2.5.

The two have swapped places 5 times across 27 shared years of data; in 1996 it was Tunisia ahead.

Mauritania ranks 166th and Tunisia ranks 168th of 208 countries.

Across the 4 decades both report, Mauritania averaged higher in 1 and Tunisia in 3.

Head to head by decade

Decade Mauritania Tunisia Difference Ahead
1990s 0.0338 approx. -2.5 to +2.5 0.1483 approx. -2.5 to +2.5 0.1145 approx. -2.5 to +2.5 Tunisia
2000s -0.2592 approx. -2.5 to +2.5 0.0196 approx. -2.5 to +2.5 0.2787 approx. -2.5 to +2.5 Tunisia
2010s -0.8769 approx. -2.5 to +2.5 -0.6247 approx. -2.5 to +2.5 0.2522 approx. -2.5 to +2.5 Tunisia
2020s -0.5436 approx. -2.5 to +2.5 -0.6863 approx. -2.5 to +2.5 0.1427 approx. -2.5 to +2.5 Mauritania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher political stability - governance estimate, Mauritania or Tunisia?
Mauritania, at -0.6544 approx. -2.5 to +2.5 against -0.6979 approx. -2.5 to +2.5 in Tunisia as of 2025.
What is the difference in political stability - governance estimate between Mauritania and Tunisia?
0.0435 approx. -2.5 to +2.5, with Mauritania ahead.
How many years of comparable data are there for Mauritania and Tunisia?
27 years are reported by both, from 1996 to 2025.
How do Mauritania and Tunisia rank globally for political stability - governance estimate?
Mauritania ranks 166th and Tunisia ranks 168th of 208 countries.
Where does this data come from?
The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as Political Stability - Governance estimate (approx. -2.5 to +2.5). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Mauritania vs Tunisia: Political Stability - Governance estimate. Statizoid, drawing on The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Retrieved 13 November 2026, from https://reference.statizoid.com/compare/political-stability-governance-estimate-approx-2-5-to-2-5/mauritania/tunisia/

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<a href="https://reference.statizoid.com/compare/political-stability-governance-estimate-approx-2-5-to-2-5/mauritania/tunisia/">Mauritania vs Tunisia: Political Stability - Governance estimate</a> — Statizoid

About this data

Indicator
Political Stability - Governance estimate (approx. -2.5 to +2.5)
Unit
approx. -2.5 to +2.5
Source
The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
208 places, 5,485 data points, 1996–2025
Last refreshed

Political Stability (PV) captures perceptions of the extent to which political power and governance are secure from destabilization, and of the likelihood that authority will be challenged or altered through violent, coercive, or unconstitutional means. 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.