Dimension 4.3: Geospatial Data in Angola

Angola: Dimension 4.3: Geospatial Data was 0.241 in 2023. ◆ Volatile

Latest (2023)
0.241
Change on year
unchanged
World rank
116th
of 180 countries
All-time high
0.262
in 2020
All-time low
0.022
in 2018
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Angola, 2015–2023

00.050.10.150.20.252015201920232015: 0.0732016: 0.0882017: 0.062018: 0.0222019: 0.0222020: 0.2622021: 0.2622022: 0.2412023: 0.241

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 Angola is 0.241, measured in 2023.

The figure is up 230.1% over ten years.

Over the whole period, dimension 4.3: geospatial data in Angola peaked at 0.262 in 2020 and was at its lowest, 0.022, in 2018.

Angola ranks 116th of 180 countries on this measure, in the middle of the range.

Dimension 4.3: Geospatial Data in Angola, year by year

Annual values for Dimension 4.3: Geospatial Data in Angola, 2015 to 2023.
Year Value Change
2015 0.073
2016 0.088 +20.5%
2017 0.06 -31.8%
2018 0.022 -63.3%
2019 0.022 +0.0%
2020 0.262 +1090.9%
2021 0.262 +0.0%
2022 0.241 -8.0%
2023 0.241 +0.0%

Angola compared with similar countries

  • Angola's 0.241 is below the median for lower middle income countries, which is 0.268, 90% of the median. (46 countries reporting)
  • Angola's 0.241 is below the median for Sub-Saharan Africa, which is 0.253, 95% of the median. (44 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.053 0.022 0.088 5
2020s 0.2515 0.241 0.262 4

Countries ranked near Angola

  1. 116 Belize 0.241 compare
  2. 116 Democratic Republic of Congo 0.241 compare
  3. 119 Papua New Guinea 0.238 compare

See the full ranking of 180 places →

More reference data data for Angola

All data for Angola →

Frequently asked questions

What is dimension 4.3: geospatial data in Angola?
Dimension 4.3: geospatial data in Angola was 0.241 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 Angola?
The highest recorded value was 0.262 in 2020.
What is the lowest dimension 4.3: geospatial data recorded in Angola?
The lowest recorded value was 0.022 in 2018.
How does Angola rank for dimension 4.3: geospatial data?
Angola ranks 116th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Angola?
Over the last ten years it is up 230.1%. The long-run trend across the full record is volatile.
Where does this Angola 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 Angola. 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/angola/

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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.