Statistical performance indicators (SPI): Pillar 4 data sources score in Antigua and Barbuda
Antigua and Barbuda: Statistical performance indicators (SPI): Pillar 4 data sources score was 53.22 scale 0-100 in 2024. ▬ Flat
Statistical performance indicators (SPI): Pillar 4 data sources score in Antigua and Barbuda, 2020–2024
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 Antigua and Barbuda stood at 53.22 scale 0-100.
That represents a change of up 1.4% on the previous year and up 7.7% over five years.
Antigua and Barbuda ranks 109th of 183 countries on this measure, in the middle of the range.
Statistical performance indicators (SPI): Pillar 4 data sources score in Antigua and Barbuda, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2020 | 49.42 scale 0-100 | — |
| 2021 | 57.76 scale 0-100 | +16.9% |
| 2022 | 50.77 scale 0-100 | -12.1% |
| 2023 | 52.47 scale 0-100 | +3.3% |
| 2024 | 53.22 scale 0-100 | +1.4% |
Antigua and Barbuda compared with similar countries
- Antigua and Barbuda's 53.22 scale 0-100 is below the median for high income countries, which is 80.21 scale 0-100, 66% of the median. (58 countries reporting)
- Antigua and Barbuda's 53.22 scale 0-100 is below the median for Latin America & Caribbean, which is 58.61 scale 0-100, 91% of the median. (30 countries reporting)
Countries ranked near Antigua and Barbuda
More public sector data for Antigua and Barbuda
- Democracy, annual growth rate 0 % change on previous year (2025)
- Chief executive of the government is elected, annual growth rate 0 % change on previous year (2025)
- Elected parliament, annual growth rate 0 % change on previous year (2025)
- Men's universal right to vote, annual growth rate 0 % change on previous year (2025)
- Universal right to vote, annual growth rate 0 % change on previous year (2025)
- Universal right to vote in practice, annual growth rate 0 % change on previous year (2025)
- Democracy 7 (2025)
- Chief executive of the government is elected 1 (2025)
- Elected parliament 1 (2025)
- Men's universal right to vote 1 (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Antigua and Barbuda?
- Statistical performance indicators (spi): pillar 4 data sources score in Antigua and Barbuda was 53.22 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 Antigua and Barbuda?
- The highest recorded value was 57.76 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Antigua and Barbuda?
- The lowest recorded value was 49.42 scale 0-100 in 2020.
- How does Antigua and Barbuda rank for statistical performance indicators (spi): pillar 4 data sources score?
- Antigua and Barbuda ranks 109th out of 183 countries with data for 2024.
- Where does this Antigua and Barbuda 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.
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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.