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Statistical performance indicators (SPI): Pillar 1 data use score in Cape Verde

Cape Verde: Statistical performance indicators (SPI): Pillar 1 data use score was 80 scale 0-100 in 2024. ▲ Rising

Latest (2024)
80 scale 0-100
Change on year
unchanged
World rank
89th
of 217 countries
All-time high
80 scale 0-100
in 2016
All-time low
20 scale 0-100
in 2004
Years of data
21
2004–2024

Statistical performance indicators (SPI): Pillar 1 data use score in Cape Verde, 2004–2024

204060802004201420242004: 20 scale 0-1002005: 20 scale 0-1002006: 20 scale 0-1002007: 20 scale 0-1002008: 20 scale 0-1002009: 20 scale 0-1002010: 40 scale 0-1002011: 40 scale 0-1002012: 40 scale 0-1002013: 40 scale 0-1002014: 40 scale 0-1002015: 60 scale 0-1002016: 80 scale 0-1002017: 80 scale 0-1002018: 80 scale 0-1002019: 80 scale 0-1002020: 80 scale 0-1002021: 80 scale 0-1002022: 80 scale 0-1002023: 80 scale 0-1002024: 80 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

In 2024, statistical performance indicators (spi): pillar 1 data use score in Cape Verde stood at 80 scale 0-100. That is the highest value across all 21 years on record.

The figure is up 100.0% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Cape Verde peaked at 80 scale 0-100 in 2016 and was at its lowest, 20 scale 0-100, in 2004.

Cape Verde ranks 89th of 217 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 21 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 20 scale 0-100 20 scale 0-100 20 scale 0-100 6
2010s 58 scale 0-100 40 scale 0-100 80 scale 0-100 10
2020s 80 scale 0-100 80 scale 0-100 80 scale 0-100 5

Countries ranked near Cape Verde

  1. 87 Belarus 86.6 scale 0-100 compare
  2. 88 Brazil 83.4 scale 0-100 compare
  3. 89 Antigua and Barbuda 80 scale 0-100 compare
  4. 89 Australia 80 scale 0-100 compare
  5. 89 Azerbaijan 80 scale 0-100 compare
  6. 89 Bangladesh 80 scale 0-100 compare
  7. 89 Barbados 80 scale 0-100 compare
  8. 89 Belize 80 scale 0-100 compare
  9. 89 Bolivia 80 scale 0-100 compare
  10. 89 Brunei 80 scale 0-100 compare
  11. 89 Colombia 80 scale 0-100 compare
  12. 89 Comoros 80 scale 0-100 compare
  13. 89 Cote d'Ivoire 80 scale 0-100 compare
  14. 89 Egypt 80 scale 0-100 compare
  15. 89 Eswatini 80 scale 0-100 compare
  16. 89 Fiji 80 scale 0-100 compare
  17. 89 Grenada 80 scale 0-100 compare
  18. 89 Guinea-Bissau 80 scale 0-100 compare
  19. 89 India 80 scale 0-100 compare
  20. 89 Jordan 80 scale 0-100 compare
  21. 89 Lebanon 80 scale 0-100 compare
  22. 89 Lesotho 80 scale 0-100 compare
  23. 89 Malawi 80 scale 0-100 compare
  24. 89 Malaysia 80 scale 0-100 compare
  25. 89 Mauritania 80 scale 0-100 compare
  26. 89 Netherlands 80 scale 0-100 compare
  27. 89 Qatar 80 scale 0-100 compare
  28. 89 Samoa 80 scale 0-100 compare
  29. 89 Saudi Arabia 80 scale 0-100 compare
  30. 89 South Africa 80 scale 0-100 compare
  31. 89 Saint Lucia 80 scale 0-100 compare
  32. 89 Tajikistan 80 scale 0-100 compare
  33. 89 Tanzania 80 scale 0-100 compare
  34. 89 East Timor 80 scale 0-100 compare
  35. 89 Togo 80 scale 0-100 compare
  36. 89 Tonga 80 scale 0-100 compare

See the full ranking of 221 places →

More public sector data for Cape Verde

All data for Cape Verde →

Frequently asked questions

What is statistical performance indicators (spi): pillar 1 data use score in Cape Verde?
Statistical performance indicators (spi): pillar 1 data use score in Cape Verde was 80 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Cape Verde?
The highest recorded value was 80 scale 0-100 in 2016.
What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Cape Verde?
The lowest recorded value was 20 scale 0-100 in 2004.
How does Cape Verde rank for statistical performance indicators (spi): pillar 1 data use score?
Cape Verde ranks 89th out of 217 countries with data for 2024.
Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Cape Verde?
Over the last ten years it is up 100.0%. 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 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

About this data

Indicator
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
221 places, 4,593 data points, 2004–2024
Last refreshed

The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.