Statistical performance indicators (SPI): Pillar 4 data sources score in Haiti
Haiti: Statistical performance indicators (SPI): Pillar 4 data sources score was 17.54 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Haiti, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 4 data sources score in Haiti is 17.54 scale 0-100, measured in 2024. That is the lowest value across all 10 years on record.
That represents a change of down 4.3% on the previous year and down 8.6% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Haiti peaked at 22.5 scale 0-100 in 2017 and was at its lowest, 17.54 scale 0-100, in 2024.
Haiti ranks 175th of 182 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 21.18 scale 0-100 | 19.2 scale 0-100 | 22.5 scale 0-100 | 5 |
| 2020s | 18.17 scale 0-100 | 17.54 scale 0-100 | 18.33 scale 0-100 | 5 |
Countries ranked near Haiti
More public sector data for Haiti
- Arms imports 10.00 million SIPRI trend indicator values (1985)
- Military expenditure 0.1% (2024)
- Military expenditure 19.75 million current USD (2024)
- Armed forces personnel, total 1,000 (2020)
- Armed forces personnel 0.0% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 40 scale 0-100 (2024)
- Intentional homicides 41.15 per 100,000 people (2023)
- Statistical performance indicators (SPI): Pillar 3 data products score 56.21 scale 0-100 (2024)
- Military expenditure 2.61 billion current LCU (2024)
- Proportion of seats held by women in national parliaments 2.5% (2019)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Haiti?
- Statistical performance indicators (spi): pillar 4 data sources score in Haiti was 17.54 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 Haiti?
- The highest recorded value was 22.5 scale 0-100 in 2017.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Haiti?
- The lowest recorded value was 17.54 scale 0-100 in 2024.
- How does Haiti rank for statistical performance indicators (spi): pillar 4 data sources score?
- Haiti ranks 175th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Haiti?
- Over the last ten years it is down 8.6%. The long-run trend across the full record is falling.
- Where does this Haiti 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
CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.