Statistical performance indicators (SPI): Pillar 3 data products score in Hong Kong (China)
Hong Kong (China): Statistical performance indicators (SPI): Pillar 3 data products score was 48.34 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in Hong Kong (China), 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Hong Kong (China) recorded 48.34 scale 0-100 for statistical performance indicators (spi): pillar 3 data products score in 2024.
That represents a change of down 0.8% on the previous year and up 78.1% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Hong Kong (China) peaked at 48.72 scale 0-100 in 2023 and was at its lowest, 24.62 scale 0-100, in 2010.
Hong Kong (China) ranks 189th of 215 countries on this measure, 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 | 26.31 scale 0-100 | 25.86 scale 0-100 | 26.69 scale 0-100 | 5 |
| 2010s | 27.46 scale 0-100 | 24.62 scale 0-100 | 29.93 scale 0-100 | 10 |
| 2020s | 42.39 scale 0-100 | 31.06 scale 0-100 | 48.72 scale 0-100 | 5 |
Countries ranked near Hong Kong (China)
More public sector data for Hong Kong (China)
- Capital stock, General government, Current prices, Domestic currency 1,714 (2019)
- Capital stock, General government, Constant prices, Percent of GDP 68.27 (2019)
- Capital stock, General government, Constant prices, Purchasing power 253.67 (2019)
- Capital stock, General government, Current prices, Domestic currency 0.0002 units per person (2019)
- Capital stock, General government, Current prices, Domestic currency 0 units per US$ of GDP (2019)
- Capital stock, General government, Current prices, Domestic currency 1.63 units per square kilometre (2019)
- Capital stock, General government, Constant prices, Purchasing power 0 units per person (2019)
- Capital stock, General government, Constant prices, Purchasing power 0 units per US$ of GDP (2019)
- Gross fixed capital formation, General government, Current prices 145.65 (2019)
- Capital stock, General government, Constant prices, Purchasing power 0.2416 units per square kilometre (2019)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Hong Kong (China)?
- Statistical performance indicators (spi): pillar 3 data products score in Hong Kong (China) was 48.34 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 Hong Kong (China)?
- The highest recorded value was 48.72 scale 0-100 in 2023.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Hong Kong (China)?
- The lowest recorded value was 24.62 scale 0-100 in 2010.
- How does Hong Kong (China) rank for statistical performance indicators (spi): pillar 3 data products score?
- Hong Kong (China) ranks 189th out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Hong Kong (China)?
- Over the last ten years it is up 78.1%. The long-run trend across the full record is rising.
- Where does this Hong Kong (China) 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.