Statistical performance indicators (SPI): Pillar 3 data products score in Guinea-Bissau
Guinea-Bissau: Statistical performance indicators (SPI): Pillar 3 data products score was 58.2 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in Guinea-Bissau, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 3 data products score in Guinea-Bissau is 58.2 scale 0-100, measured in 2024.
The figure is down 5.0% on the previous year and up 32.1% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Guinea-Bissau peaked at 71.66 scale 0-100 in 2021 and was at its lowest, 36.22 scale 0-100, in 2005.
Guinea-Bissau ranks 171st of 215 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 39.25 scale 0-100 | 36.22 scale 0-100 | 40.73 scale 0-100 | 5 |
| 2010s | 43.59 scale 0-100 | 40.02 scale 0-100 | 50.98 scale 0-100 | 10 |
| 2020s | 63.35 scale 0-100 | 58.2 scale 0-100 | 71.66 scale 0-100 | 5 |
Countries ranked near Guinea-Bissau
- 168 Marshall Islands 59.27 scale 0-100 compare
- 169 Oman 58.61 scale 0-100 compare
- 170 Central African Republic 58.38 scale 0-100 compare
- 172 Syria 57.89 scale 0-100 compare
- 173 South Sudan 57.54 scale 0-100 compare
- 174 Venezuela 57.31 scale 0-100 compare
More public sector data for Guinea-Bissau
- Arms imports 5.00 million SIPRI trend indicator values (1993)
- Tax revenue 8.3% (2024)
- Taxes on income, profits and capital gains 19.0% (2024)
- Taxes on goods and services 25.8% (2024)
- Net investment in nonfinancial assets 5.3% (2024)
- Net lending (+) / net borrowing (-) -8.0% (2024)
- Interest payments 21.0% (2024)
- Grants and other revenue 35.6% (2024)
- Interest payments 14.9% (2023)
- Other taxes 3.6% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Guinea-Bissau?
- Statistical performance indicators (spi): pillar 3 data products score in Guinea-Bissau was 58.2 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 Guinea-Bissau?
- The highest recorded value was 71.66 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Guinea-Bissau?
- The lowest recorded value was 36.22 scale 0-100 in 2005.
- How does Guinea-Bissau rank for statistical performance indicators (spi): pillar 3 data products score?
- Guinea-Bissau ranks 171st out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Guinea-Bissau?
- Over the last ten years it is up 32.1%. The long-run trend across the full record is rising.
- Where does this Guinea-Bissau 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.