Statistical performance indicators (SPI): Pillar 3 data products score in Singapore

Singapore: Statistical performance indicators (SPI): Pillar 3 data products score was 67.32 scale 0-100 in 2024. ▲ Rising

Latest (2024)
67.32 scale 0-100
Change on year
down 3.4%
World rank
133rd
of 215 countries
All-time high
69.66 scale 0-100
in 2023
All-time low
34.74 scale 0-100
in 2005
Years of data
20
2005–2024

Statistical performance indicators (SPI): Pillar 3 data products score in Singapore, 2005–2024

02040602005201420242005: 34.7 scale 0-1002006: 35.9 scale 0-1002007: 36.6 scale 0-1002008: 36.5 scale 0-1002009: 37.1 scale 0-1002010: 35.3 scale 0-1002011: 36.9 scale 0-1002012: 36.5 scale 0-1002013: 35.8 scale 0-1002014: 35.7 scale 0-1002015: 39.3 scale 0-1002016: 40.9 scale 0-1002017: 41 scale 0-1002018: 43 scale 0-1002019: 42.2 scale 0-1002020: 54.8 scale 0-1002021: 64.1 scale 0-1002022: 59.2 scale 0-1002023: 69.7 scale 0-1002024: 67.3 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

Singapore recorded 67.32 scale 0-100 for statistical performance indicators (spi): pillar 3 data products score in 2024.

That represents a change of down 3.4% on the previous year and up 88.8% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Singapore peaked at 69.66 scale 0-100 in 2023 and was at its lowest, 34.74 scale 0-100, in 2005.

Singapore ranks 133rd of 215 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 20 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 36.18 scale 0-100 34.74 scale 0-100 37.11 scale 0-100 5
2010s 38.66 scale 0-100 35.3 scale 0-100 42.98 scale 0-100 10
2020s 63.01 scale 0-100 54.79 scale 0-100 69.66 scale 0-100 5

Countries ranked near Singapore

  1. 130 Zimbabwe 67.54 scale 0-100 compare
  2. 131 Qatar 67.53 scale 0-100 compare
  3. 132 Laos 67.38 scale 0-100 compare
  4. 134 Trinidad and Tobago 67.11 scale 0-100 compare
  5. 135 Yemen 66.76 scale 0-100 compare
  6. 136 Iraq 66.53 scale 0-100 compare

See the full ranking of 219 places →

More public sector data for Singapore

All data for Singapore →

Frequently asked questions

What is statistical performance indicators (spi): pillar 3 data products score in Singapore?
Statistical performance indicators (spi): pillar 3 data products score in Singapore was 67.32 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 Singapore?
The highest recorded value was 69.66 scale 0-100 in 2023.
What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Singapore?
The lowest recorded value was 34.74 scale 0-100 in 2005.
How does Singapore rank for statistical performance indicators (spi): pillar 3 data products score?
Singapore ranks 133rd out of 215 countries with data for 2024.
Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Singapore?
Over the last ten years it is up 88.8%. The long-run trend across the full record is rising.
Where does this Singapore 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

Indicator
Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
219 places, 4,336 data points, 2005–2024
Last refreshed

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.