Statistical performance: Pillar 1 data use score (scale 0-100) in Hong Kong
Hong Kong: Statistical performance: Pillar 1 data use score (scale 0-100) was 40 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Hong Kong, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 1 data use score in Hong Kong stood at 40 scale 0-100. That is the highest value across all 21 years on record.
The figure is unchanged over five years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Hong Kong peaked at 40 scale 0-100 in 2016 and was at its lowest, 0 scale 0-100, in 2004.
That places Hong Kong 187th out of 218 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Statistical performance: Pillar 1 data use score (scale 0-100) in Hong Kong, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2004 | 0 scale 0-100 | — |
| 2005 | 0 scale 0-100 | — |
| 2006 | 0 scale 0-100 | — |
| 2007 | 0 scale 0-100 | — |
| 2008 | 0 scale 0-100 | — |
| 2009 | 0 scale 0-100 | — |
| 2010 | 0 scale 0-100 | — |
| 2011 | 0 scale 0-100 | — |
| 2012 | 0 scale 0-100 | — |
| 2013 | 0 scale 0-100 | — |
| 2014 | 0 scale 0-100 | — |
| 2015 | 20 scale 0-100 | — |
| 2016 | 40 scale 0-100 | +100.0% |
| 2017 | 40 scale 0-100 | +0.0% |
| 2018 | 40 scale 0-100 | +0.0% |
| 2019 | 40 scale 0-100 | +0.0% |
| 2020 | 40 scale 0-100 | +0.0% |
| 2021 | 40 scale 0-100 | +0.0% |
| 2022 | 40 scale 0-100 | +0.0% |
| 2023 | 40 scale 0-100 | +0.0% |
| 2024 | 40 scale 0-100 | +0.0% |
Hong Kong compared with similar countries
- Hong Kong's 40 scale 0-100 is below the median for high income countries, which is 90 scale 0-100, 44% of the median. (85 countries reporting)
- Hong Kong's 40 scale 0-100 is below the median for East Asia & Pacific, which is 70 scale 0-100, 57% of the median. (37 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0 scale 0-100 | 0 scale 0-100 | 0 scale 0-100 | 6 |
| 2010s | 18 scale 0-100 | 0 scale 0-100 | 40 scale 0-100 | 10 |
| 2020s | 40 scale 0-100 | 40 scale 0-100 | 40 scale 0-100 | 5 |
Countries ranked near Hong Kong
- 184 Sudan 46.6 scale 0-100 compare
- 184 Suriname 46.6 scale 0-100 compare
- 184 Yemen 46.6 scale 0-100 compare
- 187 American Samoa 40 scale 0-100 compare
- 187 Aruba 40 scale 0-100 compare
- 187 Bermuda 40 scale 0-100 compare
- 187 Democratic Republic of Congo 40 scale 0-100 compare
- 187 Cuba 40 scale 0-100 compare
- 187 Djibouti 40 scale 0-100 compare
- 187 Faroe Islands 40 scale 0-100 compare
- 187 French Polynesia 40 scale 0-100 compare
- 187 Gibraltar 40 scale 0-100 compare
- 187 Greenland 40 scale 0-100 compare
- 187 Guam 40 scale 0-100 compare
- 187 Haiti 40 scale 0-100 compare
- 187 Isle of Man 40 scale 0-100 compare
- 187 Liechtenstein 40 scale 0-100 compare
- 187 Macao 40 scale 0-100 compare
- 187 Namibia 40 scale 0-100 compare
- 187 Northern Mariana Islands 40 scale 0-100 compare
- 187 Saint Martin (French part) 40 scale 0-100 compare
- 187 United States Virgin Islands 40 scale 0-100 compare
- 187 Channel Islands 40 scale 0-100 compare
More public sector data for Hong Kong
- 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 1 data use score in Hong Kong?
- Statistical performance indicators (spi): pillar 1 data use score in Hong Kong was 40 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Hong Kong?
- The highest recorded value was 40 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Hong Kong?
- The lowest recorded value was 0 scale 0-100 in 2004.
- How does Hong Kong rank for statistical performance indicators (spi): pillar 1 data use score?
- Hong Kong ranks 187th out of 218 countries with data for 2024.
- Where does this Hong Kong data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.