Dimension 4.3: Geospatial Data in Indonesia

Indonesia: Dimension 4.3: Geospatial Data was 0.542 in 2023. ▲ Rising

Latest (2023)
0.542
Change on year
unchanged
World rank
10th
of 180 countries
All-time high
0.542
in 2022
All-time low
0.285
in 2018
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Indonesia, 2015–2023

00.20.40.62015201920232015: 0.4722016: 0.3332017: 0.4172018: 0.2852019: 0.2852020: 0.3462021: 0.3462022: 0.5422023: 0.542

Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).

Analysis

Indonesia recorded 0.542 for dimension 4.3: geospatial data in 2023. That is the highest value across all 9 years on record.

Compared with earlier readings it is up 14.8% over ten years.

Over the whole period, dimension 4.3: geospatial data in Indonesia peaked at 0.542 in 2022 and was at its lowest, 0.285, in 2018.

Indonesia ranks 10th of 180 countries on this measure, in the top 10%.

Dimension 4.3: Geospatial Data in Indonesia, year by year

Annual values for Dimension 4.3: Geospatial Data in Indonesia, 2015 to 2023.
Year Value Change
2015 0.472
2016 0.333 -29.4%
2017 0.417 +25.2%
2018 0.285 -31.7%
2019 0.285 +0.0%
2020 0.346 +21.4%
2021 0.346 +0.0%
2022 0.542 +56.6%
2023 0.542 +0.0%

Indonesia compared with similar countries

  • Indonesia's 0.542 is above the median for upper middle income countries, which is 0.2785, 1.9× the median. (54 countries reporting)
  • Indonesia's 0.542 is above the median for East Asia & Pacific, which is 0.3355, 1.6× the median. (26 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.3584 0.285 0.472 5
2020s 0.444 0.346 0.542 4

Countries ranked near Indonesia

  1. 8 Norway 0.554 compare
  2. 9 Denmark 0.55 compare
  3. 10 Mexico 0.542 compare
  4. 12 Bahrain 0.512 compare
  5. 12 Spain 0.512 compare

See the full ranking of 180 places →

More reference data data for Indonesia

All data for Indonesia →

Frequently asked questions

What is dimension 4.3: geospatial data in Indonesia?
Dimension 4.3: geospatial data in Indonesia was 0.542 in 2023, according to Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
What is the highest dimension 4.3: geospatial data recorded in Indonesia?
The highest recorded value was 0.542 in 2022.
What is the lowest dimension 4.3: geospatial data recorded in Indonesia?
The lowest recorded value was 0.285 in 2018.
How does Indonesia rank for dimension 4.3: geospatial data?
Indonesia ranks 10th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Indonesia?
Over the last ten years it is up 14.8%. The long-run trend across the full record is rising.
Where does this Indonesia data come from?
The figures come from Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as part of Dimension 4.3: Geospatial Data. Statizoid updates them automatically from the source API.

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CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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Dimension 4.3: Geospatial Data in Indonesia. Statizoid, drawing on Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators). Retrieved 24 September 2026, from https://reference.statizoid.com/stat/dimension-4-3-geospatial-data/indonesia/

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About this data

Indicator
Dimension 4.3: Geospatial Data
Source
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
180 places, 1,560 data points, 2015–2023
Last refreshed

Geospatial data available at 1st Admin Level. We recognize that this data source provides only limited coverage but consider that it does at least provide some indication of the ability of the national statistical system to produce geospatial data. A major research and data collection effort is needed via GGIM to fill in this information, so that a more comprehensive picture of geospatial data capability at the national level can be produced. Until this is done, it we cannot even assess the scale of the data gaps in a comparable way.