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

Malaysia: Statistical performance indicators (SPI): Pillar 3 data products score was 80.13 scale 0-100 in 2024. ▲ Rising

Latest (2024)
80.13 scale 0-100
Change on year
down 6.1%
World rank
62nd
of 215 countries
All-time high
85.38 scale 0-100
in 2023
All-time low
64.87 scale 0-100
in 2005
Years of data
20
2005–2024

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

0204060802005201420242005: 64.9 scale 0-1002006: 65 scale 0-1002007: 65.4 scale 0-1002008: 67.5 scale 0-1002009: 68.2 scale 0-1002010: 65.1 scale 0-1002011: 66.3 scale 0-1002012: 66.3 scale 0-1002013: 65.9 scale 0-1002014: 66.2 scale 0-1002015: 70.2 scale 0-1002016: 72.9 scale 0-1002017: 74.6 scale 0-1002018: 74.2 scale 0-1002019: 73 scale 0-1002020: 78.5 scale 0-1002021: 85.1 scale 0-1002022: 84.1 scale 0-1002023: 85.4 scale 0-1002024: 80.1 scale 0-100

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

Analysis

In 2024, statistical performance indicators (spi): pillar 3 data products score in Malaysia stood at 80.13 scale 0-100.

Compared with earlier readings it is down 6.1% on the previous year and up 21.1% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Malaysia peaked at 85.38 scale 0-100 in 2023 and was at its lowest, 64.87 scale 0-100, in 2005.

That places Malaysia 62nd out of 215 countries with data for 2024, putting it 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 66.18 scale 0-100 64.87 scale 0-100 68.21 scale 0-100 5
2010s 69.47 scale 0-100 65.1 scale 0-100 74.56 scale 0-100 10
2020s 82.63 scale 0-100 78.47 scale 0-100 85.38 scale 0-100 5

Countries ranked near Malaysia

  1. 59 Ecuador 80.28 scale 0-100 compare
  2. 60 Ghana 80.2 scale 0-100 compare
  3. 61 Gambia 80.19 scale 0-100 compare
  4. 63 Uzbekistan 80.11 scale 0-100 compare
  5. 64 Albania 79.67 scale 0-100 compare
  6. 65 Jamaica 79.53 scale 0-100 compare

See the full ranking of 219 places →

More public sector data for Malaysia

All data for Malaysia →

Frequently asked questions

What is statistical performance indicators (spi): pillar 3 data products score in Malaysia?
Statistical performance indicators (spi): pillar 3 data products score in Malaysia was 80.13 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 Malaysia?
The highest recorded value was 85.38 scale 0-100 in 2023.
What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Malaysia?
The lowest recorded value was 64.87 scale 0-100 in 2005.
How does Malaysia rank for statistical performance indicators (spi): pillar 3 data products score?
Malaysia ranks 62nd out of 215 countries with data for 2024.
Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Malaysia?
Over the last ten years it is up 21.1%. The long-run trend across the full record is rising.
Where does this Malaysia 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.

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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.