Statistical performance indicators (SPI): Pillar 1 data use score in San Marino
San Marino: Statistical performance indicators (SPI): Pillar 1 data use score was 70 scale 0-100 in 2024. ◆ Volatile
Statistical performance indicators (SPI): Pillar 1 data use score in San Marino, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
San Marino recorded 70 scale 0-100 for statistical performance indicators (spi): pillar 1 data use score in 2024. That is the highest value across all 21 years on record.
That represents a change of up 40.0% on the previous year and up 40.0% over five years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in San Marino peaked at 70 scale 0-100 in 2024 and was at its lowest, 0 scale 0-100, in 2004.
San Marino ranks 126th of 217 countries on this measure, 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 | 0 scale 0-100 | 0 scale 0-100 | 0 scale 0-100 | 6 |
| 2010s | 23 scale 0-100 | 0 scale 0-100 | 50 scale 0-100 | 10 |
| 2020s | 54 scale 0-100 | 50 scale 0-100 | 70 scale 0-100 | 5 |
Countries ranked near San Marino
- 124 Russia 76.6 scale 0-100 compare
- 125 China 73.4 scale 0-100 compare
- 126 Bahamas 70 scale 0-100 compare
- 126 Bhutan 70 scale 0-100 compare
- 126 Bosnia and Herzegovina 70 scale 0-100 compare
- 126 Cameroon 70 scale 0-100 compare
- 126 Ghana 70 scale 0-100 compare
- 126 Madagascar 70 scale 0-100 compare
- 126 Maldives 70 scale 0-100 compare
- 126 Myanmar 70 scale 0-100 compare
- 126 Nauru 70 scale 0-100 compare
- 126 Oman 70 scale 0-100 compare
- 126 Palau 70 scale 0-100 compare
- 126 Paraguay 70 scale 0-100 compare
- 126 Sierra Leone 70 scale 0-100 compare
- 126 Trinidad and Tobago 70 scale 0-100 compare
- 126 Uganda 70 scale 0-100 compare
- 126 Palestine 70 scale 0-100 compare
More public sector data for San Marino
- Tax revenue 17.3% (2023)
- Taxes on income, profits and capital gains 21.8% (2024)
- Taxes on goods and services 18.8% (2024)
- Net investment in nonfinancial assets 1.3% (2023)
- Net lending (+) / net borrowing (-) 1.2% (2023)
- Interest payments 5.0% (2024)
- Grants and other revenue 26.0% (2024)
- Interest payments 5.9% (2023)
- Other taxes 2.3% (2024)
- Compensation of employees 23.5% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in San Marino?
- Statistical performance indicators (spi): pillar 1 data use score in San Marino was 70 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 San Marino?
- The highest recorded value was 70 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in San Marino?
- The lowest recorded value was 0 scale 0-100 in 2004.
- How does San Marino rank for statistical performance indicators (spi): pillar 1 data use score?
- San Marino ranks 126th out of 217 countries with data for 2024.
- Where does this San Marino 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.