Papua New Guinea vs Venezuela: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Papua New Guinea
- Venezuela
How they compare
Papua New Guinea currently reports 25 scale 0-100 against 25 scale 0-100 in Venezuela, a difference of 0 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Venezuela ahead.
Papua New Guinea ranks 185th and Venezuela ranks 185th of 192 countries.
Across the 2 decades both report, Papua New Guinea averaged higher in 1 and Venezuela in 1.
Head to head by decade
| Decade | Papua New Guinea | Venezuela | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 17.5 scale 0-100 | 25 scale 0-100 | 7.5 scale 0-100 | Venezuela |
| 2020s | 28 scale 0-100 | 25 scale 0-100 | 3 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, Papua New Guinea or Venezuela?
- Papua New Guinea, at 25 scale 0-100 against 25 scale 0-100 in Venezuela as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Papua New Guinea and Venezuela?
- 0 scale 0-100, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Venezuela?
- 9 years are reported by both, from 2016 to 2024.
- How do Papua New Guinea and Venezuela rank globally for statistical performance indicators (spi): pillar 5 data?
- Papua New Guinea ranks 185th and Venezuela ranks 185th 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.