Papua New Guinea vs Tonga: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Papua New Guinea
- Tonga
How they compare
Papua New Guinea currently reports 62.23 scale 0-100 against 62.17 scale 0-100 in Tonga, a difference of 0.06 scale 0-100.
The two have swapped places 1 time across 5 shared years of data; in 2020 it was Tonga ahead.
Papua New Guinea ranks 143rd and Tonga ranks 144th of 182 countries.
Tonga has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Papua New Guinea or Tonga?
- Papua New Guinea, at 62.23 scale 0-100 against 62.17 scale 0-100 in Tonga as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Papua New Guinea and Tonga?
- 0.06 scale 0-100, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Tonga?
- 5 years are reported by both, from 2020 to 2024.
- How do Papua New Guinea and Tonga rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Papua New Guinea ranks 143rd and Tonga ranks 144th of 182 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.
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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.