Dimension 4.3: Geospatial Data in Brazil

Brazil: Dimension 4.3: Geospatial Data was 0.473 in 2023. ▲ Rising

Latest (2023)
0.473
Change on year
unchanged
World rank
20th
of 180 countries
All-time high
0.473
in 2022
All-time low
0.195
in 2015
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Brazil, 2015–2023

00.10.20.30.40.52015201920232015: 0.1952016: 0.3052017: 0.2912018: 0.3952019: 0.3952020: 0.3892021: 0.3892022: 0.4732023: 0.473

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

Analysis

In 2023, dimension 4.3: geospatial data in Brazil stood at 0.473. That is the highest value across all 9 years on record.

Compared with earlier readings it is up 142.6% over ten years.

Over the whole period, dimension 4.3: geospatial data in Brazil peaked at 0.473 in 2022 and was at its lowest, 0.195, in 2015.

Brazil ranks 20th of 180 countries on this measure, in the top quarter.

Dimension 4.3: Geospatial Data in Brazil, year by year

Annual values for Dimension 4.3: Geospatial Data in Brazil, 2015 to 2023.
Year Value Change
2015 0.195
2016 0.305 +56.4%
2017 0.291 -4.6%
2018 0.395 +35.7%
2019 0.395 +0.0%
2020 0.389 -1.5%
2021 0.389 +0.0%
2022 0.473 +21.6%
2023 0.473 +0.0%

Brazil compared with similar countries

  • Brazil's 0.473 is above the median for upper middle income countries, which is 0.2785, 1.7× the median. (54 countries reporting)
  • Brazil's 0.473 is above the median for Latin America & Caribbean, which is 0.253, 1.9× the median. (28 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.3162 0.195 0.395 5
2020s 0.431 0.389 0.473 4

Countries ranked near Brazil

  1. 17 Philippines 0.491 compare
  2. 18 Sweden 0.485 compare
  3. 19 Mongolia 0.479 compare
  4. 21 Sao Tome and Principe 0.468 compare
  5. 22 Germany 0.467 compare
  6. 23 Malaysia 0.461 compare
  7. 23 Malta 0.461 compare

See the full ranking of 180 places →

More reference data data for Brazil

All data for Brazil →

Frequently asked questions

What is dimension 4.3: geospatial data in Brazil?
Dimension 4.3: geospatial data in Brazil was 0.473 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 Brazil?
The highest recorded value was 0.473 in 2022.
What is the lowest dimension 4.3: geospatial data recorded in Brazil?
The lowest recorded value was 0.195 in 2015.
How does Brazil rank for dimension 4.3: geospatial data?
Brazil ranks 20th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Brazil?
Over the last ten years it is up 142.6%. The long-run trend across the full record is rising.
Where does this Brazil 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 Brazil. 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/brazil/

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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.