Papua New Guinea vs East Timor: Statistical performance: Pillar 2 data services score (scale)
Statistical performance: Pillar 2 data services score (scale) over time
- Papua New Guinea
- East Timor
How they compare
Papua New Guinea currently reports 62.23 scale 0-100 against 61.77 scale 0-100 in East Timor, a difference of 0.46 scale 0-100.
The two have swapped places 1 time across 8 shared years of data; in 2017 it was East Timor ahead.
Papua New Guinea ranks 145th and East Timor ranks 148th of 184 countries.
East Timor has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Papua New Guinea | East Timor | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 44.3 scale 0-100 | 46.84 scale 0-100 | 2.54 scale 0-100 | East Timor |
| 2020s | 59.26 scale 0-100 | 61.05 scale 0-100 | 1.79 scale 0-100 | East Timor |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Papua New Guinea or East Timor?
- Papua New Guinea, at 62.23 scale 0-100 against 61.77 scale 0-100 in East Timor as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Papua New Guinea and East Timor?
- 0.46 scale 0-100, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and East Timor?
- 8 years are reported by both, from 2017 to 2024.
- How do Papua New Guinea and East Timor rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Papua New Guinea ranks 145th and East Timor ranks 148th of 184 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 2 data services 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 services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.