Equatorial Guinea vs Laos: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Equatorial Guinea
- Laos
How they compare
Equatorial Guinea currently reports 35 scale 0-100 against 35 scale 0-100 in Laos, a difference of 0 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Equatorial Guinea ahead.
Equatorial Guinea ranks 172nd and Laos ranks 172nd of 190 countries.
Across the 2 decades both report, Equatorial Guinea averaged higher in 1 and Laos in 1.
Head to head by decade
| Decade | Equatorial Guinea | Laos | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 22.5 scale 0-100 | 18.75 scale 0-100 | 3.75 scale 0-100 | Equatorial Guinea |
| 2020s | 29 scale 0-100 | 38 scale 0-100 | 9 scale 0-100 | Laos |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Equatorial Guinea or Laos?
- Equatorial Guinea, at 35 scale 0-100 against 35 scale 0-100 in Laos as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Equatorial Guinea and Laos?
- 0 scale 0-100, with Equatorial Guinea ahead.
- How many years of comparable data are there for Equatorial Guinea and Laos?
- 9 years are reported by both, from 2016 to 2024.
- How do Equatorial Guinea and Laos rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Equatorial Guinea ranks 172nd and Laos ranks 172nd of 190 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.