Statistical performance indicators (SPI): Pillar 4 data sources score in Uzbekistan
Uzbekistan: Statistical performance indicators (SPI): Pillar 4 data sources score was 68.21 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Uzbekistan, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 4 data sources score in Uzbekistan stood at 68.21 scale 0-100. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 7.8% on the previous year and up 97.1% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Uzbekistan peaked at 68.21 scale 0-100 in 2024 and was at its lowest, 34.6 scale 0-100, in 2015.
Uzbekistan ranks 71st of 181 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 36.54 scale 0-100 | 34.6 scale 0-100 | 38.42 scale 0-100 | 5 |
| 2020s | 59.3 scale 0-100 | 45.88 scale 0-100 | 68.21 scale 0-100 | 5 |
Countries ranked near Uzbekistan
- 68 Guatemala 69.47 scale 0-100 compare
- 69 United Arab Emirates 68.74 scale 0-100 compare
- 70 Montenegro 68.71 scale 0-100 compare
- 72 Moldova 67.91 scale 0-100 compare
- 73 Cape Verde 67.9 scale 0-100 compare
- 74 Thailand 67.53 scale 0-100 compare
More public sector data for Uzbekistan
- Arms imports 17.00 million SIPRI trend indicator values (2023)
- Tax revenue 11.0% (2023)
- Taxes on income, profits and capital gains 18.8% (2023)
- Taxes on goods and services 31.7% (2023)
- Net investment in nonfinancial assets 1.8% (2023)
- Net lending (+) / net borrowing (-) -4.1% (2023)
- Interest payments 3.3% (2023)
- Grants and other revenue 29.8% (2023)
- Interest payments 2.9% (2023)
- Other taxes 0.0% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Uzbekistan?
- Statistical performance indicators (spi): pillar 4 data sources score in Uzbekistan was 68.21 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Uzbekistan?
- The highest recorded value was 68.21 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Uzbekistan?
- The lowest recorded value was 34.6 scale 0-100 in 2015.
- How does Uzbekistan rank for statistical performance indicators (spi): pillar 4 data sources score?
- Uzbekistan ranks 71st out of 181 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Uzbekistan?
- Over the last ten years it is up 97.1%. The long-run trend across the full record is rising.
- Where does this Uzbekistan data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.