Statistical performance indicators (SPI): Pillar 5 data infrastructure in Malaysia
Malaysia: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 85 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Malaysia, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 5 data infrastructure in Malaysia stood at 85 scale 0-100. That is the highest value across all 9 years on record.
The figure is up 13.3% on the previous year and up 88.9% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Malaysia peaked at 85 scale 0-100 in 2024 and was at its lowest, 45 scale 0-100, in 2016.
That places Malaysia 24th out of 190 countries with data for 2024, putting it in the top quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 47.5 scale 0-100 | 45 scale 0-100 | 50 scale 0-100 | 4 |
| 2020s | 64 scale 0-100 | 50 scale 0-100 | 85 scale 0-100 | 5 |
Countries ranked near Malaysia
- 24 Austria 85 scale 0-100 compare
- 24 Burkina Faso 85 scale 0-100 compare
- 24 Cyprus 85 scale 0-100 compare
- 24 Czechia 85 scale 0-100 compare
- 24 Denmark 85 scale 0-100 compare
- 24 Dominican Republic 85 scale 0-100 compare
- 24 Finland 85 scale 0-100 compare
- 24 France 85 scale 0-100 compare
- 24 Germany 85 scale 0-100 compare
- 24 Greece 85 scale 0-100 compare
- 24 Italy 85 scale 0-100 compare
- 24 Latvia 85 scale 0-100 compare
- 24 Lithuania 85 scale 0-100 compare
- 24 Moldova 85 scale 0-100 compare
- 24 Netherlands 85 scale 0-100 compare
- 24 Slovenia 85 scale 0-100 compare
- 24 Spain 85 scale 0-100 compare
- 24 Switzerland 85 scale 0-100 compare
- 24 Thailand 85 scale 0-100 compare
- 24 Uganda 85 scale 0-100 compare
- 24 Ukraine 85 scale 0-100 compare
- 24 United Arab Emirates 85 scale 0-100 compare
- 24 United Kingdom 85 scale 0-100 compare
More public sector data for Malaysia
- Arms imports 7.00 million SIPRI trend indicator values (2023)
- Tax revenue 12.4% (2024)
- Taxes on income, profits and capital gains 47.6% (2024)
- Taxes on goods and services 22.6% (2024)
- Net investment in nonfinancial assets 4.4% (2024)
- Net lending (+) / net borrowing (-) -4.1% (2024)
- Interest payments 15.6% (2024)
- Grants and other revenue 26.0% (2024)
- Interest payments 14.9% (2023)
- Other taxes 2.3% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Malaysia?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Malaysia was 85 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Malaysia?
- The highest recorded value was 85 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Malaysia?
- The lowest recorded value was 45 scale 0-100 in 2016.
- How does Malaysia rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Malaysia ranks 24th out of 190 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Malaysia?
- Over the last ten years it is up 88.9%. 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 5 data infrastructure score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.