Kosovo vs Mauritius: Statistical performance indicators (SPI): Pillar 5 data
Statistical performance indicators (SPI): Pillar 5 data over time
- Kosovo
- Mauritius
How they compare
Kosovo currently reports 80 scale 0-100 against 80 scale 0-100 in Mauritius, a difference of 0 scale 0-100.
The two have swapped places 2 times across 8 shared years of data; in 2017 it was Mauritius ahead.
Kosovo ranks 50th and Mauritius ranks 50th of 192 countries.
Across the 2 decades both report, Kosovo averaged higher in 1 and Mauritius in 1.
Head to head by decade
| Decade | Kosovo | Mauritius | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 56.67 scale 0-100 | 68.33 scale 0-100 | 11.67 scale 0-100 | Mauritius |
| 2020s | 76 scale 0-100 | 73 scale 0-100 | 3 scale 0-100 | Kosovo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Kosovo or Mauritius?
- Kosovo, at 80 scale 0-100 against 80 scale 0-100 in Mauritius as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Kosovo and Mauritius?
- 0 scale 0-100, with Kosovo ahead.
- How many years of comparable data are there for Kosovo and Mauritius?
- 8 years are reported by both, from 2017 to 2024.
- How do Kosovo and Mauritius rank globally for statistical performance indicators (spi): pillar 5 data?
- Kosovo ranks 50th and Mauritius ranks 50th 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.