Statistical performance indicators (SPI): Pillar 3 data products score in French Polynesia
French Polynesia: Statistical performance indicators (SPI): Pillar 3 data products score was 28.43 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in French Polynesia, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 3 data products score in French Polynesia is 28.43 scale 0-100, measured in 2024. That is the highest value across all 20 years on record.
That represents a change of up 1.7% on the previous year and up 120.3% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in French Polynesia peaked at 28.43 scale 0-100 in 2024 and was at its lowest, 12.91 scale 0-100, in 2014.
That places French Polynesia 200th out of 215 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 21.54 scale 0-100 | 16.25 scale 0-100 | 25.11 scale 0-100 | 5 |
| 2010s | 15.26 scale 0-100 | 12.91 scale 0-100 | 23.72 scale 0-100 | 10 |
| 2020s | 25.58 scale 0-100 | 22.21 scale 0-100 | 28.43 scale 0-100 | 5 |
Countries ranked near French Polynesia
- 197 Puerto Rico 35.18 scale 0-100 compare
- 198 New Caledonia 32.18 scale 0-100 compare
- 199 Curacao 28.44 scale 0-100 compare
- 201 Turks and Caicos Islands 28.2 scale 0-100 compare
- 202 British Virgin Islands 27.74 scale 0-100 compare
- 203 Cayman Islands 27.66 scale 0-100 compare
More public sector data for French Polynesia
- Statistical performance indicators (SPI): Pillar 1 data use score 40 scale 0-100 (2024)
- Internally displaced persons, new displacement associated with disaste 17 number of cases (2022)
- Primary government expenditures as a proportion of original approved b 111.6% (2020)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in French Polynesia?
- Statistical performance indicators (spi): pillar 3 data products score in French Polynesia was 28.43 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 3 data products score recorded in French Polynesia?
- The highest recorded value was 28.43 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in French Polynesia?
- The lowest recorded value was 12.91 scale 0-100 in 2014.
- How does French Polynesia rank for statistical performance indicators (spi): pillar 3 data products score?
- French Polynesia ranks 200th out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in French Polynesia?
- Over the last ten years it is up 120.3%. The long-run trend across the full record is rising.
- Where does this French Polynesia data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.