Statistical performance indicators (SPI): Pillar 3 data products score in Democratic Republic of Congo
Democratic Republic of Congo: Statistical performance indicators (SPI): Pillar 3 data products score was 64.26 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in Democratic Republic of Congo, 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 Democratic Republic of Congo is 64.26 scale 0-100, measured in 2024.
The figure is down 6.5% on the previous year and up 22.6% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Democratic Republic of Congo peaked at 68.74 scale 0-100 in 2023 and was at its lowest, 44.33 scale 0-100, in 2019.
Democratic Republic of Congo ranks 146th of 215 countries on this measure, 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 | 50.58 scale 0-100 | 48.39 scale 0-100 | 52.69 scale 0-100 | 5 |
| 2010s | 50.19 scale 0-100 | 44.33 scale 0-100 | 56.67 scale 0-100 | 10 |
| 2020s | 65.63 scale 0-100 | 63.1 scale 0-100 | 68.74 scale 0-100 | 5 |
Countries ranked near Democratic Republic of Congo
- 143 Guyana 64.75 scale 0-100 compare
- 144 Cape Verde 64.67 scale 0-100 compare
- 145 Afghanistan 64.56 scale 0-100 compare
- 147 Nauru 63.46 scale 0-100 compare
- 148 Saint Lucia 63.36 scale 0-100 compare
- 149 Lebanon 63.14 scale 0-100 compare
More public sector data for Democratic Republic of Congo
- Arms imports 35.00 million SIPRI trend indicator values (2024)
- Tax revenue 10.7% (2022)
- Taxes on income, profits and capital gains 38.8% (2022)
- Taxes on goods and services 19.5% (2022)
- Net investment in nonfinancial assets 6.0% (2022)
- Net lending (+) / net borrowing (-) -2.1% (2022)
- Interest payments 0.5% (2022)
- Grants and other revenue 35.1% (2022)
- Interest payments 0.7% (2022)
- Other taxes 0.0% (2021)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Democratic Republic of Congo?
- Statistical performance indicators (spi): pillar 3 data products score in Democratic Republic of Congo was 64.26 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 Democratic Republic of Congo?
- The highest recorded value was 68.74 scale 0-100 in 2023.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Democratic Republic of Congo?
- The lowest recorded value was 44.33 scale 0-100 in 2019.
- How does Democratic Republic of Congo rank for statistical performance indicators (spi): pillar 3 data products score?
- Democratic Republic of Congo ranks 146th out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Democratic Republic of Congo?
- Over the last ten years it is up 22.6%. The long-run trend across the full record is rising.
- Where does this Democratic Republic of Congo 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.