Dimension 4.3: Geospatial Data in Luxembourg

Luxembourg: Dimension 4.3: Geospatial Data was 0 in 2023. ◆ Volatile

Latest (2023)
0
World rank
177th
of 180 countries
All-time high
0.105
in 2020
All-time low
0
in 2022
Years of data
8
2016–2023

Dimension 4.3: Geospatial Data in Luxembourg, 2016–2023

00.0250.050.0750.12016201920232016: 0.0982017: 0.0442018: 0.0652019: 0.0652020: 0.1052021: 0.1052022: 02023: 0

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

Analysis

Luxembourg recorded 0 for dimension 4.3: geospatial data in 2023. That is the lowest value across all 8 years on record.

Compared with earlier readings it is down 100.0% over ten years.

Luxembourg ranks 177th of 180 countries on this measure, in the bottom quarter.

Dimension 4.3: Geospatial Data in Luxembourg, year by year

Annual values for Dimension 4.3: Geospatial Data in Luxembourg, 2016 to 2023.
Year Value Change
2016 0.098
2017 0.044 -55.1%
2018 0.065 +47.7%
2019 0.065 +0.0%
2020 0.105 +61.5%
2021 0.105 +0.0%
2022 0 -100.0%
2023 0

Luxembourg compared with similar countries

  • Luxembourg's 0 is below the median for high income countries, which is 0.334. (57 countries reporting)
  • Luxembourg's 0 is below the median for Europe & Central Asia, which is 0.298. (50 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.068 0.044 0.098 4
2020s 0.0525 0 0.105 4

Countries ranked near Luxembourg

  1. 174 Guyana 0.021 compare
  2. 174 Montenegro 0.021 compare
  3. 174 Venezuela 0.021 compare
  4. 177 Haiti 0
  5. 177 South Sudan 0 compare
  6. 177 Turkmenistan 0 compare

See the full ranking of 180 places →

More reference data data for Luxembourg

All data for Luxembourg →

Frequently asked questions

What is dimension 4.3: geospatial data in Luxembourg?
Dimension 4.3: geospatial data in Luxembourg was 0 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 Luxembourg?
The highest recorded value was 0.105 in 2020.
What is the lowest dimension 4.3: geospatial data recorded in Luxembourg?
The lowest recorded value was 0 in 2022.
How does Luxembourg rank for dimension 4.3: geospatial data?
Luxembourg ranks 177th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Luxembourg?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this Luxembourg 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 Luxembourg. 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/luxembourg/

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