Statistical performance: Pillar 5 data infrastructure score in High income
High income: Statistical performance: Pillar 5 data infrastructure score was 76.49 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data in High income, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
High income recorded 76.49 scale 0-100 for statistical performance indicators (spi): pillar 5 data in 2024.
The figure is down 9.3% on the previous year and up 3.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data in High income peaked at 84.3 scale 0-100 in 2023 and was at its lowest, 74.27 scale 0-100, in 2016.
Statistical performance: Pillar 5 data infrastructure score in High income, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2016 | 74.27 scale 0-100 | — |
| 2017 | 74.64 scale 0-100 | +0.5% |
| 2018 | 75.27 scale 0-100 | +0.8% |
| 2019 | 77.68 scale 0-100 | +3.2% |
| 2020 | 77.28 scale 0-100 | -0.5% |
| 2021 | 81.32 scale 0-100 | +5.2% |
| 2022 | 81.84 scale 0-100 | +0.6% |
| 2023 | 84.3 scale 0-100 | +3.0% |
| 2024 | 76.49 scale 0-100 | -9.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 75.47 scale 0-100 | 74.27 scale 0-100 | 77.68 scale 0-100 | 4 |
| 2020s | 80.25 scale 0-100 | 76.49 scale 0-100 | 84.3 scale 0-100 | 5 |
Countries ranked near High income
More public sector data for High income
- Arms imports 20.57 billion SIPRI trend indicator values (2025)
- Arms imports (SIPRI trend indicator values), per capita 12.4 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0002 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate 16.09 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 17.59 billion SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 1,385 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0272 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate 12.96 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 1.96 trillion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 292.64 SIPRI trend indicator values per square kilometre (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data in High income?
- Statistical performance indicators (spi): pillar 5 data in High income was 76.49 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data recorded in High income?
- The highest recorded value was 84.3 scale 0-100 in 2023.
- What is the lowest statistical performance indicators (spi): pillar 5 data recorded in High income?
- The lowest recorded value was 74.27 scale 0-100 in 2016.
- How does High income rank for statistical performance indicators (spi): pillar 5 data?
- High income ranks 1st out of 4 groups with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data rising or falling in High income?
- Over the last ten years it is up 3.0%. The long-run trend across the full record is rising.
- Where does this High income 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.