Statistical performance indicators (SPI): Pillar 4 data sources score in High income
High income: Statistical performance indicators (SPI): Pillar 4 data sources score was 75.83 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in High income, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 4 data sources score in High income stood at 75.83 scale 0-100. That is the highest value across all 9 years on record.
That represents a change of up 2.1% on the previous year and up 11.6% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in High income peaked at 75.83 scale 0-100 in 2024 and was at its lowest, 66.43 scale 0-100, in 2017.
Statistical performance indicators (SPI): Pillar 4 data sources score in High income, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2016 | 67.96 scale 0-100 | — |
| 2017 | 66.43 scale 0-100 | -2.3% |
| 2018 | 67.32 scale 0-100 | +1.3% |
| 2019 | 68.06 scale 0-100 | +1.1% |
| 2020 | 67.86 scale 0-100 | -0.3% |
| 2021 | 75.12 scale 0-100 | +10.7% |
| 2022 | 73.92 scale 0-100 | -1.6% |
| 2023 | 74.25 scale 0-100 | +0.4% |
| 2024 | 75.83 scale 0-100 | +2.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 67.44 scale 0-100 | 66.43 scale 0-100 | 68.06 scale 0-100 | 4 |
| 2020s | 73.4 scale 0-100 | 67.86 scale 0-100 | 75.83 scale 0-100 | 5 |
Countries ranked near High income
More public sector data for High income
- Arms imports 17.59 billion SIPRI trend indicator values (2024)
- 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 4 data sources score in High income?
- Statistical performance indicators (spi): pillar 4 data sources score in High income was 75.83 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in High income?
- The highest recorded value was 75.83 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in High income?
- The lowest recorded value was 66.43 scale 0-100 in 2017.
- How does High income rank for statistical performance indicators (spi): pillar 4 data sources score?
- High income ranks 1st out of 4 groups with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in High income?
- Over the last ten years it is up 11.6%. 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 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
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About this data
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.