Dimension 4.3: Geospatial Data in Kenya

Kenya: Dimension 4.3: Geospatial Data was 0.325 in 2023. ▲ Rising

Latest (2023)
0.325
Change on year
unchanged
World rank
65th
of 180 countries
All-time high
0.389
in 2020
All-time low
0.231
in 2018
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Kenya, 2015–2023

00.10.20.30.42015201920232015: 0.2372016: 0.2372017: 0.2592018: 0.2312019: 0.2312020: 0.3892021: 0.3892022: 0.3252023: 0.325

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

Analysis

Kenya recorded 0.325 for dimension 4.3: geospatial data in 2023.

The figure is up 37.1% over ten years.

Over the whole period, dimension 4.3: geospatial data in Kenya peaked at 0.389 in 2020 and was at its lowest, 0.231, in 2018.

Kenya ranks 65th of 180 countries on this measure, in the middle of the range.

Dimension 4.3: Geospatial Data in Kenya, year by year

Annual values for Dimension 4.3: Geospatial Data in Kenya, 2015 to 2023.
Year Value Change
2015 0.237 —
2016 0.237 +0.0%
2017 0.259 +9.3%
2018 0.231 -10.8%
2019 0.231 +0.0%
2020 0.389 +68.4%
2021 0.389 +0.0%
2022 0.325 -16.5%
2023 0.325 +0.0%

Kenya compared with similar countries

  • Kenya's 0.325 is above the median for lower middle income countries, which is 0.268, 1.2× the median. (46 countries reporting)
  • Kenya's 0.325 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 0.239 0.231 0.259 5
2020s 0.357 0.325 0.389 4

Countries ranked near Kenya

  1. 63 China 0.331 compare
  2. 64 Malawi 0.327 compare
  3. 65 Albania 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 Kenya

All data for Kenya →

Frequently asked questions

What is dimension 4.3: geospatial data in Kenya?
Dimension 4.3: geospatial data in Kenya was 0.325 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 Kenya?
The highest recorded value was 0.389 in 2020.
What is the lowest dimension 4.3: geospatial data recorded in Kenya?
The lowest recorded value was 0.231 in 2018.
How does Kenya rank for dimension 4.3: geospatial data?
Kenya ranks 65th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Kenya?
Over the last ten years it is up 37.1%. The long-run trend across the full record is rising.
Where does this Kenya 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 Kenya. 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/kenya/

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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.