What each column asks
- Rule of law
- Perceptions of contract enforcement, property rights, courts, police and crime. Series RL.EST.
- Control of corruption
- Perceptions of public power used for private gain, including capture by private interests. Series CC.EST.
- Government effectiveness
- Perceptions of public services, policy implementation and the credibility of commitments. Series GE.EST.
- Regulatory quality
- Perceptions of the capacity to make and implement policies that support private sector development. Series RQ.EST.
- Political stability and absence of violence/terrorism
- Perceptions of political instability and politically motivated violence, including terrorism. Series PV.EST.
- Voice and accountability
- Perceptions of participation in selecting government, freedom of expression, association and media. Series VA.EST.
Definitions: WGI documentation.
An estimate of 1.0 is not a 100% score
The .EST series use standard statistical units, typically around −2.5 to +2.5; that interval is not a hard bound. Larger estimates indicate stronger measured outcomes within a dimension. They are neither percentile ranks nor the World Bank's separate fixed-reference 0–100 scores. We preserve their scale.
For an illustrative comparison, rule-of-law estimates of 1.20 and 1.10 differ by 0.10 statistical units. It does not mean enforcement is 9% better. The source publishes standard errors, which are not stored here. A close gap cannot establish a meaningful difference without checking that uncertainty. How estimates and uncertainty are reported.
A useful comparison starts with a specific question
For a commercial market study, start with the dimensions relevant to the operating model. Contract-heavy businesses may investigate rule of law; a regulated product may require closer work on regulatory quality. Compare peer markets in the same reference year and inspect the underlying evidence. A national aggregate cannot tell you how a particular industry, city, court or supplier will behave.
Keep the dimensions separate in a client brief. If two markets exchange places when you switch from rule of law to accountability, the useful finding is their different institutional profiles. Averaging those columns would hide the tradeoff you need to investigate.
How this comparison is assembled
SOTW reads the latest stored non-missing observation for each of the six codes and joins them by country ID. A country or area appears if at least one dimension is available. Missing dimensions stay blank; no estimate is imputed. Sorting uses the selected dimension's unrounded value, with missing readings last. Display values are rounded to two decimals. No weighting, GDP bonus, debt penalty, overall score or letter grade is applied.
The observation year identifies the period measured, not the publication date. Publisher release identifiers were not retained for these rows, so the table cannot establish which WGI revision they belong to. Historical estimates can change between releases; use one documented release for a time comparison. World Bank guidance on revisions.
For a repeatable report, save the country ID, indicator code, raw value, reference year and retrieval date, and cite the upstream release when independently verified. The API documentation describes available data fields and access options.