Statistical performance indicators (SPI): Pillar 5 data infrastructure in Comoros
Comoros: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 40 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Comoros, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Comoros recorded 40 scale 0-100 for statistical performance indicators (spi): pillar 5 data infrastructure in 2024. That is the highest value across all 9 years on record.
The figure is up 100.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Comoros peaked at 40 scale 0-100 in 2021 and was at its lowest, 20 scale 0-100, in 2016.
Comoros ranks 161st of 191 countries on this measure, in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 23.75 scale 0-100 | 20 scale 0-100 | 30 scale 0-100 | 4 |
| 2020s | 38 scale 0-100 | 30 scale 0-100 | 40 scale 0-100 | 5 |
Countries ranked near Comoros
- 161 Bahrain 40 scale 0-100 compare
- 161 Bhutan 40 scale 0-100 compare
- 161 Brunei 40 scale 0-100 compare
- 161 Central African Republic 40 scale 0-100 compare
- 161 Democratic Republic of Congo 40 scale 0-100 compare
- 161 Grenada 40 scale 0-100 compare
- 161 Iraq 40 scale 0-100 compare
- 161 South Sudan 40 scale 0-100 compare
- 161 Saint Vincent and the Grenadines 40 scale 0-100 compare
- 161 Syria 40 scale 0-100 compare
- 161 Vietnam 40 scale 0-100 compare
More public sector data for Comoros
- Arms imports 1.00 million SIPRI trend indicator values (2012)
- Statistical performance indicators (SPI): Pillar 1 data use score 80 scale 0-100 (2024)
- Statistical performance indicators (SPI): Pillar 3 data products score 72.94 scale 0-100 (2024)
- Proportion of seats held by women in national parliaments 18.2% (2025)
- Primary government expenditures as a proportion of original approved b 79.4% (2022)
- CPIA quality of budgetary and financial management rating 2 1=low to 6=high (2025)
- CPIA business regulatory environment rating 3 1=low to 6=high (2025)
- CPIA transparency, accountability, and corruption in the public sector 2 1=low to 6=high (2025)
- CPIA debt policy rating 2.5 1=low to 6=high (2025)
- CPIA structural policies cluster average 3 1=low to 6=high (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Comoros?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Comoros was 40 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Comoros?
- The highest recorded value was 40 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Comoros?
- The lowest recorded value was 20 scale 0-100 in 2016.
- How does Comoros rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Comoros ranks 161st out of 191 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Comoros?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is rising.
- Where does this Comoros data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.