Papua New Guinea vs Yemen: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Papua New Guinea
- Yemen
How they compare
Papua New Guinea currently reports 25 scale 0-100 against 25 scale 0-100 in Yemen, a difference of 0 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Yemen ahead.
Papua New Guinea ranks 184th and Yemen ranks 184th of 191 countries.
Across the 2 decades both report, Papua New Guinea averaged higher in 1 and Yemen in 1.
Head to head by decade
| Decade | Papua New Guinea | Yemen | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 17.5 scale 0-100 | 25 scale 0-100 | 7.5 scale 0-100 | Yemen |
| 2020s | 28 scale 0-100 | 22 scale 0-100 | 6 scale 0-100 | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Papua New Guinea or Yemen?
- Papua New Guinea, at 25 scale 0-100 against 25 scale 0-100 in Yemen as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Papua New Guinea and Yemen?
- 0 scale 0-100, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Yemen?
- 9 years are reported by both, from 2016 to 2024.
- How do Papua New Guinea and Yemen rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Papua New Guinea ranks 184th and Yemen ranks 184th 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.