Statistical performance indicators (SPI): Pillar 2 data services score in Papua New Guinea
Papua New Guinea: Statistical performance indicators (SPI): Pillar 2 data services score was 62.23 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 2 data services score in Papua New Guinea, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Papua New Guinea recorded 62.23 scale 0-100 for statistical performance indicators (spi): pillar 2 data services score in 2024. That is the highest value across all 9 years on record.
Compared with earlier readings it is up 5.1% on the previous year and up 1,455.8% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 2 data services score in Papua New Guinea peaked at 62.23 scale 0-100 in 2024 and was at its lowest, 4 scale 0-100, in 2016.
That places Papua New Guinea 143rd out of 182 countries with data for 2024, putting it in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 34.23 scale 0-100 | 4 scale 0-100 | 55.27 scale 0-100 | 4 |
| 2020s | 59.26 scale 0-100 | 57.83 scale 0-100 | 62.23 scale 0-100 | 5 |
Countries ranked near Papua New Guinea
- 140 Eswatini 62.53 scale 0-100 compare
- 140 Zambia 62.53 scale 0-100 compare
- 142 Marshall Islands 62.33 scale 0-100 compare
- 144 Tonga 62.17 scale 0-100 compare
- 145 Pakistan 61.97 scale 0-100 compare
- 146 Madagascar 61.77 scale 0-100 compare
- 146 East Timor 61.77 scale 0-100 compare
More public sector data for Papua New Guinea
- Arms imports 9.00 million SIPRI trend indicator values (2023)
- Tax revenue 15.5% (2024)
- Taxes on income, profits and capital gains 59.4% (2024)
- Taxes on goods and services 25.5% (2024)
- Net investment in nonfinancial assets 2.0% (2024)
- Net lending (+) / net borrowing (-) -3.3% (2024)
- Interest payments 14.2% (2024)
- Grants and other revenue 11.4% (2024)
- Interest payments 12.3% (2023)
- Other taxes 0.0% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 2 data services score in Papua New Guinea?
- Statistical performance indicators (spi): pillar 2 data services score in Papua New Guinea was 62.23 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 2 data services score recorded in Papua New Guinea?
- The highest recorded value was 62.23 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 2 data services score recorded in Papua New Guinea?
- The lowest recorded value was 4 scale 0-100 in 2016.
- How does Papua New Guinea rank for statistical performance indicators (spi): pillar 2 data services score?
- Papua New Guinea ranks 143rd out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 2 data services score rising or falling in Papua New Guinea?
- Over the last ten years it is up 1,455.8%. The long-run trend across the full record is rising.
- Where does this Papua New Guinea data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.