Statistical performance indicators (SPI): Pillar 1 data use score in Somalia
Somalia: Statistical performance indicators (SPI): Pillar 1 data use score was 60 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in Somalia, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 1 data use score in Somalia stood at 60 scale 0-100. That is the highest value across all 21 years on record.
Compared with earlier readings it is up 28.8% over five years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Somalia peaked at 60 scale 0-100 in 2020 and was at its lowest, 0 scale 0-100, in 2005.
That places Somalia 147th out of 217 countries with data for 2024, putting it 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 | 16.67 scale 0-100 | 0 scale 0-100 | 20 scale 0-100 | 6 |
| 2010s | 14.64 scale 0-100 | 0 scale 0-100 | 46.6 scale 0-100 | 10 |
| 2020s | 60 scale 0-100 | 60 scale 0-100 | 60 scale 0-100 | 5 |
Countries ranked near Somalia
- 146 Chad 63.4 scale 0-100 compare
- 147 Algeria 60 scale 0-100 compare
- 147 Andorra 60 scale 0-100 compare
- 147 Angola 60 scale 0-100 compare
- 147 Bahrain 60 scale 0-100 compare
- 147 British Virgin Islands 60 scale 0-100 compare
- 147 Cambodia 60 scale 0-100 compare
- 147 Curacao 60 scale 0-100 compare
- 147 Gabon 60 scale 0-100 compare
- 147 Guyana 60 scale 0-100 compare
- 147 Iraq 60 scale 0-100 compare
- 147 Kuwait 60 scale 0-100 compare
- 147 Liberia 60 scale 0-100 compare
- 147 Monaco 60 scale 0-100 compare
- 147 Morocco 60 scale 0-100 compare
- 147 Nepal 60 scale 0-100 compare
- 147 New Caledonia 60 scale 0-100 compare
- 147 Nicaragua 60 scale 0-100 compare
- 147 Sao Tome and Principe 60 scale 0-100 compare
- 147 Solomon Islands 60 scale 0-100 compare
- 147 Saint Kitts and Nevis 60 scale 0-100 compare
- 147 Turkmenistan 60 scale 0-100 compare
- 147 Venezuela 60 scale 0-100 compare
More public sector data for Somalia
- Arms imports 4.00 million SIPRI trend indicator values (2024)
- Tax revenue 2.2% (2024)
- Taxes on income, profits and capital gains 4.0% (2024)
- Taxes on goods and services 5.8% (2024)
- Net investment in nonfinancial assets 0.2% (2024)
- Net lending (+) / net borrowing (-) 0.2% (2024)
- Interest payments 0.6% (2024)
- Grants and other revenue 70.6% (2024)
- Other taxes 1.1% (2024)
- Compensation of employees 42.0% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Somalia?
- Statistical performance indicators (spi): pillar 1 data use score in Somalia was 60 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 Somalia?
- The highest recorded value was 60 scale 0-100 in 2020.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Somalia?
- The lowest recorded value was 0 scale 0-100 in 2005.
- How does Somalia rank for statistical performance indicators (spi): pillar 1 data use score?
- Somalia ranks 147th out of 217 countries with data for 2024.
- Where does this Somalia 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
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.