Equatorial Guinea vs Vanuatu: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Equatorial Guinea
- Vanuatu
How they compare
Equatorial Guinea currently reports 35 scale 0-100 against 35 scale 0-100 in Vanuatu, a difference of 0 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Vanuatu ahead.
Equatorial Guinea ranks 174th and Vanuatu ranks 174th of 192 countries.
Across the 2 decades both report, Equatorial Guinea averaged higher in 1 and Vanuatu in 1.
Head to head by decade
| Decade | Equatorial Guinea | Vanuatu | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 22.5 scale 0-100 | 16.25 scale 0-100 | 6.25 scale 0-100 | Equatorial Guinea |
| 2020s | 29 scale 0-100 | 31 scale 0-100 | 2 scale 0-100 | Vanuatu |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Equatorial Guinea or Vanuatu?
- Equatorial Guinea, at 35 scale 0-100 against 35 scale 0-100 in Vanuatu as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Equatorial Guinea and Vanuatu?
- 0 scale 0-100, with Equatorial Guinea ahead.
- How many years of comparable data are there for Equatorial Guinea and Vanuatu?
- 9 years are reported by both, from 2016 to 2024.
- How do Equatorial Guinea and Vanuatu rank globally for statistical performance indicators (spi): pillar 5 data?
- Equatorial Guinea ranks 174th and Vanuatu ranks 174th of 192 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.