Statistical performance indicators (SPI): Pillar 3 data products score in Syria
Syria: Statistical performance indicators (SPI): Pillar 3 data products score was 57.89 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 3 data products score in Syria, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 3 data products score in Syria stood at 57.89 scale 0-100.
Compared with earlier readings it is up 54.7% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Syria peaked at 63.18 scale 0-100 in 2008 and was at its lowest, 35.77 scale 0-100, in 2018.
That places Syria 172nd out of 215 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 60.13 scale 0-100 | 54.94 scale 0-100 | 63.18 scale 0-100 | 5 |
| 2010s | 43.81 scale 0-100 | 35.77 scale 0-100 | 57.07 scale 0-100 | 10 |
| 2020s | 52.86 scale 0-100 | 43.49 scale 0-100 | 57.91 scale 0-100 | 5 |
Countries ranked near Syria
- 169 Oman 58.61 scale 0-100 compare
- 170 Central African Republic 58.38 scale 0-100 compare
- 171 Guinea-Bissau 58.2 scale 0-100 compare
- 173 South Sudan 57.54 scale 0-100 compare
- 174 Venezuela 57.31 scale 0-100 compare
- 175 Sudan 57.18 scale 0-100 compare
More public sector data for Syria
- Arms imports 7.00 million SIPRI trend indicator values (2021)
- Military expenditure 4.1% (2010)
- Military expenditure 2.49 billion current USD (2011)
- Armed forces personnel, total 269,000 (2020)
- Armed forces personnel 5.4% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 26.6 scale 0-100 (2024)
- Intentional homicides 2.06 per 100,000 people (2010)
- Military expenditure 120.29 billion current LCU (2011)
- Proportion of seats held by women in national parliaments 4.9% (2025)
- Military expenditure 13.6% (2010)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Syria?
- Statistical performance indicators (spi): pillar 3 data products score in Syria was 57.89 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 Syria?
- The highest recorded value was 63.18 scale 0-100 in 2008.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Syria?
- The lowest recorded value was 35.77 scale 0-100 in 2018.
- How does Syria rank for statistical performance indicators (spi): pillar 3 data products score?
- Syria ranks 172nd out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Syria?
- Over the last ten years it is up 54.7%. The long-run trend across the full record is falling.
- Where does this Syria 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.