Statistical performance indicators (SPI): Pillar 3 data products score in Cape Verde
Cape Verde: Statistical performance indicators (SPI): Pillar 3 data products score was 64.67 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in Cape Verde, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 3 data products score in Cape Verde stood at 64.67 scale 0-100.
The figure is down 4.3% on the previous year and up 8.3% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Cape Verde peaked at 76.05 scale 0-100 in 2021 and was at its lowest, 50.11 scale 0-100, in 2006.
That places Cape Verde 144th out of 215 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 54.57 scale 0-100 | 50.11 scale 0-100 | 66.25 scale 0-100 | 5 |
| 2010s | 60.5 scale 0-100 | 58.67 scale 0-100 | 63.4 scale 0-100 | 10 |
| 2020s | 68.78 scale 0-100 | 64.67 scale 0-100 | 76.05 scale 0-100 | 5 |
Countries ranked near Cape Verde
- 141 Belize 65.46 scale 0-100 compare
- 142 Antigua and Barbuda 64.94 scale 0-100 compare
- 143 Guyana 64.75 scale 0-100 compare
- 145 Afghanistan 64.56 scale 0-100 compare
- 146 Democratic Republic of Congo 64.26 scale 0-100 compare
- 147 Nauru 63.46 scale 0-100 compare
More public sector data for Cape Verde
- Arms imports 3.00 million SIPRI trend indicator values (2019)
- Tax revenue 18.4% (2020)
- Taxes on income, profits and capital gains 22.7% (2020)
- Taxes on goods and services 36.2% (2020)
- Net investment in nonfinancial assets 3.4% (2020)
- Net lending (+) / net borrowing (-) -9.4% (2020)
- Interest payments 10.9% (2020)
- Grants and other revenue 25.9% (2020)
- Interest payments 8.8% (2020)
- Compensation of employees 39.9% (2020)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Cape Verde?
- Statistical performance indicators (spi): pillar 3 data products score in Cape Verde was 64.67 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 3 data products score recorded in Cape Verde?
- The highest recorded value was 76.05 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Cape Verde?
- The lowest recorded value was 50.11 scale 0-100 in 2006.
- How does Cape Verde rank for statistical performance indicators (spi): pillar 3 data products score?
- Cape Verde ranks 144th out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Cape Verde?
- Over the last ten years it is up 8.3%. The long-run trend across the full record is rising.
- Where does this Cape Verde data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.