United Arab Emirates vs Uzbekistan: Statistical performance indicators (SPI): Pillar 4 data sources score

United Arab Emirates
68.74 scale 0-100
in 2024
Uzbekistan
68.21 scale 0-100
in 2024
United Arab Emirates rank
69th
Uzbekistan rank
71st

Statistical performance indicators (SPI): Pillar 4 data sources score over time

  • United Arab Emirates
  • Uzbekistan
0204060201520192024

How they compare

United Arab Emirates currently reports 68.74 scale 0-100 against 68.21 scale 0-100 in Uzbekistan, a difference of 0.53 scale 0-100.

The two have swapped places 2 times across 9 shared years of data; in 2016 it was United Arab Emirates ahead.

United Arab Emirates ranks 69th and Uzbekistan ranks 71st of 182 countries.

United Arab Emirates has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade United Arab Emirates Uzbekistan Difference Ahead
2010s 51.03 scale 0-100 37.02 scale 0-100 14.01 scale 0-100 United Arab Emirates
2020s 61.27 scale 0-100 59.3 scale 0-100 1.97 scale 0-100 United Arab Emirates

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 4 data sources score, United Arab Emirates or Uzbekistan?
United Arab Emirates, at 68.74 scale 0-100 against 68.21 scale 0-100 in Uzbekistan as of 2024.
What is the difference in statistical performance indicators (spi): pillar 4 data sources score between United Arab Emirates and Uzbekistan?
0.53 scale 0-100, with United Arab Emirates ahead.
How many years of comparable data are there for United Arab Emirates and Uzbekistan?
9 years are reported by both, from 2016 to 2024.
How do United Arab Emirates and Uzbekistan rank globally for statistical performance indicators (spi): pillar 4 data sources score?
United Arab Emirates ranks 69th and Uzbekistan ranks 71st of 182 countries.
Where does this data come from?
Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

United Arab Emirates vs Uzbekistan: Statistical performance indicators (SPI): Pillar 4 data sources score. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 24 August 2026, from https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/united-arab-emirates/uzbekistan/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/united-arab-emirates/uzbekistan/">United Arab Emirates vs Uzbekistan: Statistical performance indicators (SPI): Pillar 4 data sources score</a> — Statizoid

About this data

Indicator
Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
186 places, 1,766 data points, 2015–2024
Last refreshed

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.