Statistical performance indicators (SPI): Pillar 2 data services score in Singapore

Singapore: Statistical performance indicators (SPI): Pillar 2 data services score was 98.4 scale 0-100 in 2024. ▲ Rising

Latest (2024)
98.4 scale 0-100
Change on year
down 1.6%
World rank
5th
of 183 countries
All-time high
100 scale 0-100
in 2018
All-time low
48.03 scale 0-100
in 2016
Years of data
9
2016–2024

Statistical performance indicators (SPI): Pillar 2 data services score in Singapore, 2016–2024

0204060801002016202020242016: 48 scale 0-1002017: 56.9 scale 0-1002018: 100 scale 0-1002019: 100 scale 0-1002020: 99.7 scale 0-1002021: 99.7 scale 0-1002022: 100 scale 0-1002023: 100 scale 0-1002024: 98.4 scale 0-100

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

Analysis

In 2024, statistical performance indicators (spi): pillar 2 data services score in Singapore stood at 98.4 scale 0-100.

That represents a change of down 1.6% on the previous year and up 104.9% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 2 data services score in Singapore peaked at 100 scale 0-100 in 2018 and was at its lowest, 48.03 scale 0-100, in 2016.

Singapore ranks 5th of 183 countries on this measure, in the top 10%.

Averages by decade

DecadeAverage LowestHighest Years
2010s 76.22 scale 0-100 48.03 scale 0-100 100 scale 0-100 4
2020s 99.55 scale 0-100 98.4 scale 0-100 100 scale 0-100 5

Countries ranked near Singapore

  1. 2 Poland 99 scale 0-100 compare
  2. 3 Norway 98.57 scale 0-100 compare
  3. 4 Slovenia 98.53 scale 0-100 compare
  4. 6 Finland 98.2 scale 0-100 compare
  5. 7 Denmark 97.83 scale 0-100 compare
  6. 8 Portugal 97.63 scale 0-100 compare

See the full ranking of 187 places →

More public sector data for Singapore

All data for Singapore →

Frequently asked questions

What is statistical performance indicators (spi): pillar 2 data services score in Singapore?
Statistical performance indicators (spi): pillar 2 data services score in Singapore was 98.4 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 Singapore?
The highest recorded value was 100 scale 0-100 in 2018.
What is the lowest statistical performance indicators (spi): pillar 2 data services score recorded in Singapore?
The lowest recorded value was 48.03 scale 0-100 in 2016.
How does Singapore rank for statistical performance indicators (spi): pillar 2 data services score?
Singapore ranks 5th out of 183 countries with data for 2024.
Is statistical performance indicators (spi): pillar 2 data services score rising or falling in Singapore?
Over the last ten years it is up 104.9%. 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 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

Indicator
Statistical performance indicators (SPI): Pillar 2 data services 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
187 places, 1,643 data points, 2016–2024
Last refreshed

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.