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

Australia: Statistical performance indicators (SPI): Pillar 4 data sources score was 84.45 scale 0-100 in 2024. ▲ Rising

Latest (2024)
84.45 scale 0-100
Change on year
down 0.2%
World rank
16th
of 181 countries
All-time high
84.65 scale 0-100
in 2022
All-time low
73.97 scale 0-100
in 2020
Years of data
9
2016–2024

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

0204060802016202020242016: 78.3 scale 0-1002017: 74.3 scale 0-1002018: 74.5 scale 0-1002019: 74.5 scale 0-1002020: 74 scale 0-1002021: 82.3 scale 0-1002022: 84.7 scale 0-1002023: 84.7 scale 0-1002024: 84.5 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 Australia stood at 84.45 scale 0-100.

That represents a change of down 0.2% on the previous year and up 7.9% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Australia peaked at 84.65 scale 0-100 in 2022 and was at its lowest, 73.97 scale 0-100, in 2020.

That places Australia 16th out of 181 countries with data for 2024, putting it in the top 10%.

Averages by decade

DecadeAverage LowestHighest Years
2010s 75.39 scale 0-100 74.32 scale 0-100 78.29 scale 0-100 4
2020s 82 scale 0-100 73.97 scale 0-100 84.65 scale 0-100 5

Countries ranked near Australia

  1. 14 Germany 86.1 scale 0-100 compare
  2. 15 Portugal 85.6 scale 0-100 compare
  3. 17 Saudi Arabia 84.38 scale 0-100 compare
  4. 18 Brazil 84.28 scale 0-100 compare
  5. 19 Estonia 84.2 scale 0-100 compare
  6. 19 Switzerland 84.2 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Australia

All data for Australia →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Australia?
Statistical performance indicators (spi): pillar 4 data sources score in Australia was 84.45 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 Australia?
The highest recorded value was 84.65 scale 0-100 in 2022.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Australia?
The lowest recorded value was 73.97 scale 0-100 in 2020.
How does Australia rank for statistical performance indicators (spi): pillar 4 data sources score?
Australia ranks 16th out of 181 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Australia?
Over the last ten years it is up 7.9%. The long-run trend across the full record is rising.
Where does this Australia 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.