Dimension 4.3: Geospatial Data in Malawi

Malawi: Dimension 4.3: Geospatial Data was 0.327 in 2023. ▲ Rising

Latest (2023)
0.327
Change on year
unchanged
World rank
64th
of 180 countries
All-time high
0.419
in 2015
All-time low
0.153
in 2017
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Malawi, 2015–2023

00.10.20.30.42015201920232015: 0.4192016: 0.2132017: 0.1532018: 0.1832019: 0.1832020: 0.3012021: 0.3012022: 0.3272023: 0.327

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

Analysis

In 2023, dimension 4.3: geospatial data in Malawi stood at 0.327.

The figure is down 22.0% over ten years.

Over the whole period, dimension 4.3: geospatial data in Malawi peaked at 0.419 in 2015 and was at its lowest, 0.153, in 2017.

That places Malawi 64th out of 180 countries with data for 2023, putting it in the middle of the range.

Dimension 4.3: Geospatial Data in Malawi, year by year

Annual values for Dimension 4.3: Geospatial Data in Malawi, 2015 to 2023.
Year Value Change
2015 0.419
2016 0.213 -49.2%
2017 0.153 -28.2%
2018 0.183 +19.6%
2019 0.183 +0.0%
2020 0.301 +64.5%
2021 0.301 +0.0%
2022 0.327 +8.6%
2023 0.327 +0.0%

Malawi compared with similar countries

  • Malawi's 0.327 is above the median for low income countries, which is 0.247, 1.3× the median. (22 countries reporting)
  • Malawi's 0.327 is above the median for Sub-Saharan Africa, which is 0.253, 1.3× the median. (44 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.2302 0.153 0.419 5
2020s 0.314 0.301 0.327 4

Countries ranked near Malawi

  1. 63 China 0.331 compare
  2. 65 Albania 0.325 compare
  3. 65 Kenya 0.325 compare
  4. 67 Ukraine 0.316 compare
  5. 67 Yemen 0.316 compare

See the full ranking of 180 places →

More reference data data for Malawi

All data for Malawi →

Frequently asked questions

What is dimension 4.3: geospatial data in Malawi?
Dimension 4.3: geospatial data in Malawi was 0.327 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 Malawi?
The highest recorded value was 0.419 in 2015.
What is the lowest dimension 4.3: geospatial data recorded in Malawi?
The lowest recorded value was 0.153 in 2017.
How does Malawi rank for dimension 4.3: geospatial data?
Malawi ranks 64th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Malawi?
Over the last ten years it is down 22.0%. The long-run trend across the full record is rising.
Where does this Malawi 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 Malawi. 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/malawi/

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