Statistical performance indicators (SPI): Pillar 1 data use score in Guinea
Guinea: Statistical performance indicators (SPI): Pillar 1 data use score was 66.6 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Guinea, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 1 data use score in Guinea is 66.6 scale 0-100, measured in 2024.
Compared with earlier readings it is up 66.5% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Guinea peaked at 90 scale 0-100 in 2019 and was at its lowest, 20 scale 0-100, in 2004.
Guinea ranks 143rd of 217 countries on this measure, in the middle of the range.
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 | 20 scale 0-100 | 20 scale 0-100 | 20 scale 0-100 | 6 |
| 2010s | 52.66 scale 0-100 | 20 scale 0-100 | 90 scale 0-100 | 10 |
| 2020s | 74.64 scale 0-100 | 66.6 scale 0-100 | 80 scale 0-100 | 5 |
Countries ranked near Guinea
More public sector data for Guinea
- Arms imports 6.00 million SIPRI trend indicator values (2024)
- Military expenditure 2.1% (2024)
- Military expenditure 562.46 million current USD (2024)
- Armed forces personnel, total 13,000 (2020)
- Armed forces personnel 0.3% (2020)
- Statistical performance indicators (SPI): Pillar 3 data products score 62.65 scale 0-100 (2024)
- Military expenditure 4.84 trillion current LCU (2024)
- Proportion of seats held by women in national parliaments 29.6% (2025)
- Military expenditure 12.8% (2024)
- Internally displaced persons, new displacement associated with disaste 35,000 number of cases (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Guinea?
- Statistical performance indicators (spi): pillar 1 data use score in Guinea was 66.6 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 Guinea?
- The highest recorded value was 90 scale 0-100 in 2019.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Guinea?
- The lowest recorded value was 20 scale 0-100 in 2004.
- How does Guinea rank for statistical performance indicators (spi): pillar 1 data use score?
- Guinea ranks 143rd out of 217 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Guinea?
- Over the last ten years it is up 66.5%. The long-run trend across the full record is volatile.
- Where does this 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.
Download this data
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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.