Statistical performance indicators (SPI): Pillar 1 data use score in Russia
Russia: Statistical performance indicators (SPI): Pillar 1 data use score was 76.6 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 1 data use score in Russia, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Russia recorded 76.6 scale 0-100 for statistical performance indicators (spi): pillar 1 data use score in 2024.
The figure is up 27.7% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Russia peaked at 83.4 scale 0-100 in 2017 and was at its lowest, 40 scale 0-100, in 2004.
Russia ranks 124th of 217 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 21 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 40 scale 0-100 | 40 scale 0-100 | 40 scale 0-100 | 6 |
| 2010s | 70.02 scale 0-100 | 60 scale 0-100 | 83.4 scale 0-100 | 10 |
| 2020s | 80.68 scale 0-100 | 76.6 scale 0-100 | 83.4 scale 0-100 | 5 |
Countries ranked near Russia
- 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 San Marino 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 Russia
- Arms imports 467.00 million SIPRI trend indicator values (2024)
- Tax revenue 10.9% (2024)
- Taxes on income, profits and capital gains 4.6% (2024)
- Taxes on goods and services 23.8% (2024)
- Net investment in nonfinancial assets 1.3% (2024)
- Net lending (+) / net borrowing (-) 1.6% (2024)
- Interest payments 2.4% (2020)
- Grants and other revenue 49.0% (2024)
- Interest payments 2.4% (2020)
- Other taxes 0.0% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Russia?
- Statistical performance indicators (spi): pillar 1 data use score in Russia was 76.6 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 Russia?
- The highest recorded value was 83.4 scale 0-100 in 2017.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Russia?
- The lowest recorded value was 40 scale 0-100 in 2004.
- How does Russia rank for statistical performance indicators (spi): pillar 1 data use score?
- Russia ranks 124th out of 217 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Russia?
- Over the last ten years it is up 27.7%. The long-run trend across the full record is rising.
- Where does this Russia 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.