Kenya vs Malawi: Dimension 4.3: Geospatial Data

Kenya
0.325
in 2023
Malawi
0.327
in 2023
Kenya rank
65th
Malawi rank
64th

Dimension 4.3: Geospatial Data over time

  • Kenya
  • Malawi
00.10.20.30.4201520192023

How they compare

Malawi currently reports 0.327 against 0.325 in Kenya, a difference of 0.002.

The two have swapped places 2 times across 9 shared years of data; in 2015 it was Malawi ahead.

Kenya ranks 65th and Malawi ranks 64th of 177 countries.

Kenya has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Kenya Malawi Difference Ahead
2010s 0.239 0.2302 0.0088 Kenya
2020s 0.357 0.314 0.043 Kenya

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Kenya or Malawi?
Malawi, at 0.327 against 0.325 in Kenya as of 2023.
What is the difference in dimension 4.3: geospatial data between Kenya and Malawi?
0.002, with Malawi ahead.
How many years of comparable data are there for Kenya and Malawi?
9 years are reported by both, from 2015 to 2023.
How do Kenya and Malawi rank globally for dimension 4.3: geospatial data?
Kenya ranks 65th and Malawi ranks 64th of 177 countries.
Where does this data come from?
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 4.3: Geospatial Data. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

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
179 places, 1,551 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.