Laos vs Sao Tome and Principe: Statistical performance indicators (SPI): Pillar 5 data
Statistical performance indicators (SPI): Pillar 5 data over time
- Laos
- Sao Tome and Principe
How they compare
Laos currently reports 35 scale 0-100 against 35 scale 0-100 in Sao Tome and Principe, a difference of 0 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Sao Tome and Principe ahead.
Laos ranks 173rd and Sao Tome and Principe ranks 173rd of 191 countries.
Across the 2 decades both report, Laos averaged higher in 1 and Sao Tome and Principe in 1.
Head to head by decade
| Decade | Laos | Sao Tome and Principe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 18.75 scale 0-100 | 32.5 scale 0-100 | 13.75 scale 0-100 | Sao Tome and Principe |
| 2020s | 38 scale 0-100 | 34 scale 0-100 | 4 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, Laos or Sao Tome and Principe?
- Laos, at 35 scale 0-100 against 35 scale 0-100 in Sao Tome and Principe as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Laos and Sao Tome and Principe?
- 0 scale 0-100, with Laos ahead.
- How many years of comparable data are there for Laos and Sao Tome and Principe?
- 9 years are reported by both, from 2016 to 2024.
- How do Laos and Sao Tome and Principe rank globally for statistical performance indicators (spi): pillar 5 data?
- Laos ranks 173rd and Sao Tome and Principe ranks 173rd of 191 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.