Dimension 4.3: Geospatial Data in Portugal

Portugal: Dimension 4.3: Geospatial Data was 0.277 in 2023. ▼ Falling

Latest (2023)
0.277
Change on year
unchanged
World rank
91st
of 180 countries
All-time high
0.366
in 2016
All-time low
0.208
in 2020
Years of data
8
2016–2023

Dimension 4.3: Geospatial Data in Portugal, 2016–2023

00.10.20.30.42016201920232016: 0.3662017: 0.2282018: 0.2452019: 0.2452020: 0.2082021: 0.2082022: 0.2772023: 0.277

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 Portugal is 0.277, measured in 2023.

The figure is down 24.3% over ten years.

That places Portugal 91st out of 180 countries with data for 2023, putting it in the middle of the range.

Dimension 4.3: Geospatial Data in Portugal, year by year

Annual values for Dimension 4.3: Geospatial Data in Portugal, 2016 to 2023.
Year Value Change
2016 0.366
2017 0.228 -37.7%
2018 0.245 +7.5%
2019 0.245 +0.0%
2020 0.208 -15.1%
2021 0.208 +0.0%
2022 0.277 +33.2%
2023 0.277 +0.0%

Portugal compared with similar countries

  • Portugal's 0.277 is below the median for high income countries, which is 0.334, 83% of the median. (57 countries reporting)
  • Portugal's 0.277 is below the median for Europe & Central Asia, which is 0.298, 93% of the median. (50 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.271 0.228 0.366 4
2020s 0.2425 0.208 0.277 4

Countries ranked near Portugal

  1. 91 Italy 0.277 compare
  2. 91 Rwanda 0.277 compare
  3. 94 Costa Rica 0.274 compare
  4. 94 Ecuador 0.274 compare
  5. 94 Tanzania 0.274 compare

See the full ranking of 180 places →

More reference data data for Portugal

All data for Portugal →

Frequently asked questions

What is dimension 4.3: geospatial data in Portugal?
Dimension 4.3: geospatial data in Portugal was 0.277 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 Portugal?
The highest recorded value was 0.366 in 2016.
What is the lowest dimension 4.3: geospatial data recorded in Portugal?
The lowest recorded value was 0.208 in 2020.
How does Portugal rank for dimension 4.3: geospatial data?
Portugal ranks 91st out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Portugal?
Over the last ten years it is down 24.3%. The long-run trend across the full record is falling.
Where does this Portugal 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 Portugal. 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/portugal/

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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.