Statistical performance indicators (SPI): Pillar 4 data sources score in Uruguay

Uruguay: Statistical performance indicators (SPI): Pillar 4 data sources score was 69.53 scale 0-100 in 2024. ▲ Rising

Latest (2024)
69.53 scale 0-100
Change on year
up 0.4%
World rank
67th
of 182 countries
All-time high
73.92 scale 0-100
in 2021
All-time low
63.99 scale 0-100
in 2017
Years of data
10
2015–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Uruguay, 2015–2024

0204060802015201920242015: 68.6 scale 0-1002016: 65.2 scale 0-1002017: 64 scale 0-1002018: 65.1 scale 0-1002019: 65.1 scale 0-1002020: 65.6 scale 0-1002021: 73.9 scale 0-1002022: 65.1 scale 0-1002023: 69.2 scale 0-1002024: 69.5 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

Uruguay recorded 69.53 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.

The figure is up 0.4% on the previous year and up 1.3% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Uruguay peaked at 73.92 scale 0-100 in 2021 and was at its lowest, 63.99 scale 0-100, in 2017.

That places Uruguay 67th out of 182 countries with data for 2024, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 65.59 scale 0-100 63.99 scale 0-100 68.64 scale 0-100 5
2020s 68.67 scale 0-100 65.07 scale 0-100 73.92 scale 0-100 5

Countries ranked near Uruguay

  1. 64 Belize 70.22 scale 0-100 compare
  2. 65 Iran 69.9 scale 0-100 compare
  3. 66 Serbia 69.88 scale 0-100 compare
  4. 68 Guatemala 69.47 scale 0-100 compare
  5. 69 United Arab Emirates 68.74 scale 0-100 compare
  6. 70 Montenegro 68.71 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Uruguay

All data for Uruguay →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Uruguay?
Statistical performance indicators (spi): pillar 4 data sources score in Uruguay was 69.53 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 Uruguay?
The highest recorded value was 73.92 scale 0-100 in 2021.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Uruguay?
The lowest recorded value was 63.99 scale 0-100 in 2017.
How does Uruguay rank for statistical performance indicators (spi): pillar 4 data sources score?
Uruguay ranks 67th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Uruguay?
Over the last ten years it is up 1.3%. The long-run trend across the full record is rising.
Where does this Uruguay 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

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.