Lesotho vs Palau: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Lesotho
- Palau
How they compare
Lesotho currently reports 55 scale 0-100 against 55 scale 0-100 in Palau, a difference of 0 scale 0-100.
The two have swapped places 3 times across 9 shared years of data; in 2016 it was Lesotho ahead.
Lesotho ranks 115th and Palau ranks 115th of 190 countries.
Lesotho has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Lesotho | Palau | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 38.75 scale 0-100 | 22.5 scale 0-100 | 16.25 scale 0-100 | Lesotho |
| 2020s | 54 scale 0-100 | 45 scale 0-100 | 9 scale 0-100 | Lesotho |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Lesotho or Palau?
- Lesotho, at 55 scale 0-100 against 55 scale 0-100 in Palau as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Lesotho and Palau?
- 0 scale 0-100, with Lesotho ahead.
- How many years of comparable data are there for Lesotho and Palau?
- 9 years are reported by both, from 2016 to 2024.
- How do Lesotho and Palau rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Lesotho ranks 115th and Palau ranks 115th 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.