Dimension 4.3: Geospatial Data in Burundi

Burundi: Dimension 4.3: Geospatial Data was 0.199 in 2023. ▬ Flat

Latest (2023)
0.199
Change on year
unchanged
World rank
129th
of 180 countries
All-time high
0.199
in 2022
All-time low
0.063
in 2020
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Burundi, 2015–2023

0.050.10.150.22015201920232015: 0.1642016: 0.1752017: 0.1212018: 0.1922019: 0.1922020: 0.0632021: 0.0632022: 0.1992023: 0.199

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 Burundi is 0.199, measured in 2023. That is the highest value across all 9 years on record.

That represents a change of up 21.3% over ten years.

Over the whole period, dimension 4.3: geospatial data in Burundi peaked at 0.199 in 2022 and was at its lowest, 0.063, in 2020.

Burundi ranks 129th of 180 countries on this measure, in the middle of the range.

Dimension 4.3: Geospatial Data in Burundi, year by year

Annual values for Dimension 4.3: Geospatial Data in Burundi, 2015 to 2023.
Year Value Change
2015 0.164
2016 0.175 +6.7%
2017 0.121 -30.9%
2018 0.192 +58.7%
2019 0.192 +0.0%
2020 0.063 -67.2%
2021 0.063 +0.0%
2022 0.199 +215.9%
2023 0.199 +0.0%

Burundi compared with similar countries

  • Burundi's 0.199 is below the median for low income countries, which is 0.247, 81% of the median. (22 countries reporting)
  • Burundi's 0.199 is below the median for Sub-Saharan Africa, which is 0.253, 79% of the median. (44 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.1688 0.121 0.192 5
2020s 0.131 0.063 0.199 4

Countries ranked near Burundi

  1. 127 Solomon Islands 0.211 compare
  2. 128 Liberia 0.208 compare
  3. 129 Afghanistan 0.199 compare
  4. 129 Nicaragua 0.199 compare
  5. 132 Djibouti 0.19 compare
  6. 132 Peru 0.19 compare

See the full ranking of 180 places →

More reference data data for Burundi

All data for Burundi →

Frequently asked questions

What is dimension 4.3: geospatial data in Burundi?
Dimension 4.3: geospatial data in Burundi was 0.199 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 Burundi?
The highest recorded value was 0.199 in 2022.
What is the lowest dimension 4.3: geospatial data recorded in Burundi?
The lowest recorded value was 0.063 in 2020.
How does Burundi rank for dimension 4.3: geospatial data?
Burundi ranks 129th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Burundi?
Over the last ten years it is up 21.3%. The long-run trend across the full record is flat.
Where does this Burundi 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 Burundi. 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/burundi/

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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.