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

Oman: Statistical performance indicators (SPI): Pillar 4 data sources score was 63.66 scale 0-100 in 2024. ▲ Rising

Latest (2024)
63.66 scale 0-100
Change on year
down 0.3%
World rank
82nd
of 181 countries
All-time high
63.88 scale 0-100
in 2021
All-time low
40.92 scale 0-100
in 2016
Years of data
9
2016–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Oman, 2016–2024

02040602016202020242016: 40.9 scale 0-1002017: 52.7 scale 0-1002018: 55.9 scale 0-1002019: 55.9 scale 0-1002020: 58.9 scale 0-1002021: 63.9 scale 0-1002022: 63.9 scale 0-1002023: 63.9 scale 0-1002024: 63.7 scale 0-100

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 Oman stood at 63.66 scale 0-100.

That represents a change of down 0.3% on the previous year and up 55.6% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Oman peaked at 63.88 scale 0-100 in 2021 and was at its lowest, 40.92 scale 0-100, in 2016.

Oman ranks 82nd of 181 countries on this measure, in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 51.35 scale 0-100 40.92 scale 0-100 55.89 scale 0-100 4
2020s 62.84 scale 0-100 58.89 scale 0-100 63.88 scale 0-100 5

Countries ranked near Oman

  1. 79 Russia 65.08 scale 0-100 compare
  2. 80 Sri Lanka 64.07 scale 0-100 compare
  3. 81 Bahrain 63.94 scale 0-100 compare
  4. 83 Peru 63.26 scale 0-100 compare
  5. 84 Tunisia 63.21 scale 0-100 compare
  6. 85 Paraguay 62.7 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Oman

All data for Oman →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Oman?
Statistical performance indicators (spi): pillar 4 data sources score in Oman was 63.66 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 Oman?
The highest recorded value was 63.88 scale 0-100 in 2021.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Oman?
The lowest recorded value was 40.92 scale 0-100 in 2016.
How does Oman rank for statistical performance indicators (spi): pillar 4 data sources score?
Oman ranks 82nd out of 181 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Oman?
Over the last ten years it is up 55.6%. The long-run trend across the full record is rising.
Where does this Oman 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.