Qatar vs Palestine: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Qatar
- Palestine
How they compare
Qatar currently reports 65 scale 0-100 against 65 scale 0-100 in Palestine, a difference of 0 scale 0-100.
Across all 8 years both countries report, Palestine has been ahead every year.
Qatar ranks 93rd and Palestine ranks 93rd of 192 countries.
Palestine has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Qatar | Palestine | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 26.67 scale 0-100 | 58.33 scale 0-100 | 31.67 scale 0-100 | Palestine |
| 2020s | 57 scale 0-100 | 78 scale 0-100 | 21 scale 0-100 | Palestine |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Qatar or Palestine?
- Qatar, at 65 scale 0-100 against 65 scale 0-100 in Palestine as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Qatar and Palestine?
- 0 scale 0-100, with Qatar ahead.
- How many years of comparable data are there for Qatar and Palestine?
- 8 years are reported by both, from 2017 to 2024.
- How do Qatar and Palestine rank globally for statistical performance indicators (spi): pillar 5 data?
- Qatar ranks 93rd and Palestine ranks 93rd 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.