Dimension 4.3: Geospatial Data in Denmark

Denmark: Dimension 4.3: Geospatial Data was 0.55 in 2023. ▲ Rising

Latest (2023)
0.55
Change on year
unchanged
World rank
9th
of 180 countries
All-time high
0.584
in 2020
All-time low
0.35
in 2016
Years of data
8
2016–2023

Dimension 4.3: Geospatial Data in Denmark, 2016–2023

00.20.40.62016201920232016: 0.352017: 0.3542018: 0.5072019: 0.5072020: 0.5842021: 0.5842022: 0.552023: 0.55

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

Analysis

The most recent figure for dimension 4.3: geospatial data in Denmark is 0.55, measured in 2023.

That represents a change of up 57.1% over ten years.

Denmark ranks 9th of 180 countries on this measure, in the top 10%.

Dimension 4.3: Geospatial Data in Denmark, year by year

Annual values for Dimension 4.3: Geospatial Data in Denmark, 2016 to 2023.
Year Value Change
2016 0.35
2017 0.354 +1.1%
2018 0.507 +43.2%
2019 0.507 +0.0%
2020 0.584 +15.2%
2021 0.584 +0.0%
2022 0.55 -5.8%
2023 0.55 +0.0%

Denmark compared with similar countries

  • Denmark's 0.55 is above the median for high income countries, which is 0.334, 1.6× the median. (57 countries reporting)
  • Denmark's 0.55 is above the median for Europe & Central Asia, which is 0.298, 1.8× the median. (50 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.4295 0.35 0.507 4
2020s 0.567 0.55 0.584 4

Countries ranked near Denmark

  1. 6 Canada 0.593 compare
  2. 6 Finland 0.593 compare
  3. 8 Norway 0.554 compare
  4. 10 Indonesia 0.542 compare
  5. 10 Mexico 0.542 compare
  6. 12 Bahrain 0.512 compare
  7. 12 Spain 0.512 compare

See the full ranking of 180 places →

More reference data data for Denmark

All data for Denmark →

Frequently asked questions

What is dimension 4.3: geospatial data in Denmark?
Dimension 4.3: geospatial data in Denmark was 0.55 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 Denmark?
The highest recorded value was 0.584 in 2020.
What is the lowest dimension 4.3: geospatial data recorded in Denmark?
The lowest recorded value was 0.35 in 2016.
How does Denmark rank for dimension 4.3: geospatial data?
Denmark ranks 9th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Denmark?
Over the last ten years it is up 57.1%. The long-run trend across the full record is rising.
Where does this Denmark 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 — 8 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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Dimension 4.3: Geospatial Data in Denmark. 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/denmark/

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<a href="https://reference.statizoid.com/stat/dimension-4-3-geospatial-data/denmark/">Dimension 4.3: Geospatial Data in Denmark</a> — Statizoid

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.