Myanmar vs Yemen: Regulatory Quality - Governance estimate (approx. -2.5 to +2.5)

Myanmar
-1.46 approx. -2.5 to +2.5
in 2025
Yemen
-1.47 approx. -2.5 to +2.5
in 2025
Myanmar rank
193rd
Yemen rank
194th

Regulatory Quality - Governance estimate (approx. -2.5 to +2.5) over time

  • Myanmar
  • Yemen
-2.5-2-1.5-1-0.5199620102025

How they compare

Myanmar currently reports -1.46 approx. -2.5 to +2.5 against -1.47 approx. -2.5 to +2.5 in Yemen, a difference of 0.01 approx. -2.5 to +2.5.

The two have swapped places 3 times across 27 shared years of data; in 1996 it was Yemen ahead.

Myanmar ranks 193rd and Yemen ranks 194th of 206 countries.

Across the 4 decades both report, Myanmar averaged higher in 1 and Yemen in 3.

Head to head by decade

Decade Myanmar Yemen Difference Ahead
1990s -1.9 approx. -2.5 to +2.5 -0.6894 approx. -2.5 to +2.5 1.21 approx. -2.5 to +2.5 Yemen
2000s -2.19 approx. -2.5 to +2.5 -0.7604 approx. -2.5 to +2.5 1.43 approx. -2.5 to +2.5 Yemen
2010s -1.25 approx. -2.5 to +2.5 -0.9881 approx. -2.5 to +2.5 0.2655 approx. -2.5 to +2.5 Yemen
2020s -1.26 approx. -2.5 to +2.5 -1.49 approx. -2.5 to +2.5 0.2315 approx. -2.5 to +2.5 Myanmar

Averages of every year both report within each decade.

Frequently asked questions

Which has higher regulatory quality - governance estimate, Myanmar or Yemen?
Myanmar, at -1.46 approx. -2.5 to +2.5 against -1.47 approx. -2.5 to +2.5 in Yemen as of 2025.
What is the difference in regulatory quality - governance estimate between Myanmar and Yemen?
0.01 approx. -2.5 to +2.5, with Myanmar ahead.
How many years of comparable data are there for Myanmar and Yemen?
27 years are reported by both, from 1996 to 2025.
How do Myanmar and Yemen rank globally for regulatory quality - governance estimate?
Myanmar ranks 193rd and Yemen ranks 194th of 206 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 Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Myanmar vs Yemen: Regulatory Quality - 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/regulatory-quality-governance-estimate-approx-2-5-to-2-5/myanmar/yemen-rep/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/compare/regulatory-quality-governance-estimate-approx-2-5-to-2-5/myanmar/yemen-rep/">Myanmar vs Yemen: Regulatory Quality - Governance estimate</a> — Statizoid

About this data

Indicator
Regulatory Quality - 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
206 places, 5,391 data points, 1996–2025
Last refreshed

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.