Statistical performance indicators (SPI): Pillar 1 data use score in Equatorial Guinea
Equatorial Guinea: Statistical performance indicators (SPI): Pillar 1 data use score was 10 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Equatorial Guinea, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Equatorial Guinea recorded 10 scale 0-100 for statistical performance indicators (spi): pillar 1 data use score in 2024.
That represents a change of down 50.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Equatorial Guinea peaked at 30 scale 0-100 in 2015 and was at its lowest, 0 scale 0-100, in 2007.
Equatorial Guinea ranks 216th of 217 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 13.33 scale 0-100 | 0 scale 0-100 | 20 scale 0-100 | 6 |
| 2010s | 17 scale 0-100 | 0 scale 0-100 | 30 scale 0-100 | 10 |
| 2020s | 10 scale 0-100 | 10 scale 0-100 | 10 scale 0-100 | 5 |
Countries ranked near Equatorial Guinea
- 215 Eritrea 16.6 scale 0-100 compare
- 216 North Korea 10 scale 0-100 compare
More public sector data for Equatorial Guinea
- Arms imports 12.00 million SIPRI trend indicator values (2024)
- Tax revenue 6.6% (2022)
- Taxes on income, profits and capital gains 19.8% (2022)
- Taxes on goods and services 4.0% (2022)
- Net investment in nonfinancial assets 3.9% (2022)
- Net lending (+) / net borrowing (-) 11.5% (2022)
- Interest payments 4.2% (2022)
- Grants and other revenue 75.1% (2022)
- Interest payments 9.9% (2022)
- Other taxes 0.1% (2022)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Equatorial Guinea?
- Statistical performance indicators (spi): pillar 1 data use score in Equatorial Guinea was 10 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 Equatorial Guinea?
- The highest recorded value was 30 scale 0-100 in 2015.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Equatorial Guinea?
- The lowest recorded value was 0 scale 0-100 in 2007.
- How does Equatorial Guinea rank for statistical performance indicators (spi): pillar 1 data use score?
- Equatorial Guinea ranks 216th out of 217 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Equatorial Guinea?
- Over the last ten years it is down 50.0%. The long-run trend across the full record is volatile.
- Where does this Equatorial Guinea 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.
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About this data
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.