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

Indonesia: Statistical performance indicators (SPI): Pillar 4 data sources score was 58.73 scale 0-100 in 2024. ▲ Rising

Latest (2024)
58.73 scale 0-100
Change on year
up 3.2%
World rank
95th
of 181 countries
All-time high
58.73 scale 0-100
in 2024
All-time low
42.14 scale 0-100
in 2018
Years of data
10
2015–2024

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

02040602015201920242015: 46.8 scale 0-1002016: 43.3 scale 0-1002017: 47.1 scale 0-1002018: 42.1 scale 0-1002019: 42.1 scale 0-1002020: 43.7 scale 0-1002021: 52 scale 0-1002022: 56.9 scale 0-1002023: 56.9 scale 0-1002024: 58.7 scale 0-100

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

Analysis

The most recent figure for statistical performance indicators (spi): pillar 4 data sources score in Indonesia is 58.73 scale 0-100, measured in 2024. That is the highest value across all 10 years on record.

That represents a change of up 3.2% on the previous year and up 25.4% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Indonesia peaked at 58.73 scale 0-100 in 2024 and was at its lowest, 42.14 scale 0-100, in 2018.

Indonesia ranks 95th of 181 countries on this measure, in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 44.31 scale 0-100 42.14 scale 0-100 47.09 scale 0-100 5
2020s 53.64 scale 0-100 43.67 scale 0-100 58.73 scale 0-100 5

Countries ranked near Indonesia

  1. 92 Ecuador 60.02 scale 0-100 compare
  2. 93 Tajikistan 59.86 scale 0-100 compare
  3. 94 Jamaica 59.21 scale 0-100 compare
  4. 96 Ukraine 58.28 scale 0-100 compare
  5. 97 Suriname 58.02 scale 0-100 compare
  6. 98 Seychelles 58 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Indonesia

All data for Indonesia →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Indonesia?
Statistical performance indicators (spi): pillar 4 data sources score in Indonesia was 58.73 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 Indonesia?
The highest recorded value was 58.73 scale 0-100 in 2024.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Indonesia?
The lowest recorded value was 42.14 scale 0-100 in 2018.
How does Indonesia rank for statistical performance indicators (spi): pillar 4 data sources score?
Indonesia ranks 95th out of 181 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Indonesia?
Over the last ten years it is up 25.4%. The long-run trend across the full record is rising.
Where does this Indonesia 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.