Equatorial Guinea vs Seychelles: Government Effectiveness
Government Effectiveness over time
- Equatorial Guinea
- Seychelles
How they compare
Seychelles currently reports 0.2402 standard error against 0.2285 standard error in Equatorial Guinea, a difference of 0.0117 standard error.
That makes Seychelles's figure about 1.1 times Equatorial Guinea's.
The two have swapped places 4 times across 13 shared years of data; in 1996 it was Seychelles ahead.
Equatorial Guinea ranks 4th and Seychelles ranks 2nd of 53 countries.
Seychelles has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Equatorial Guinea | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.2419 standard error | 0.2914 standard error | 0.0495 standard error | Seychelles |
| 2000s | 0.2268 standard error | 0.2455 standard error | 0.0186 standard error | Seychelles |
| 2010s | 0.229 standard error | 0.2422 standard error | 0.0133 standard error | Seychelles |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher government effectiveness, Equatorial Guinea or Seychelles?
- Seychelles, at 0.2402 standard error against 0.2285 standard error in Equatorial Guinea as of 2011.
- What is the difference in government effectiveness between Equatorial Guinea and Seychelles?
- 0.0117 standard error, with Seychelles ahead.
- How many years of comparable data are there for Equatorial Guinea and Seychelles?
- 13 years are reported by both, from 1996 to 2011.
- How do Equatorial Guinea and Seychelles rank globally for government effectiveness?
- Equatorial Guinea ranks 4th and Seychelles ranks 2nd of 53 countries.
- Where does this data come from?
- World Bank Institute, published as Government Effectiveness (standard error). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
See definition GV.GOVT.EF.ES. Inherent to all Governance Indicators is a margin of error, which might vary from country to country, normally attributable to two factors: (i) cross-country differences in the number of sources in which a country appears, and (ii) differences in the precision of the sources in which each country appears.