Mauritius vs Somalia: Dimension 4.3: Geospatial Data

Mauritius
0.042
in 2023
Somalia
0.042
in 2023
Mauritius rank
166th
Somalia rank
166th

Dimension 4.3: Geospatial Data over time

  • Mauritius
  • Somalia
00.050.10.15201520192023

How they compare

Mauritius currently reports 0.042 against 0.042 in Somalia, a difference of 0.

The two have swapped places 1 time across 7 shared years of data; in 2017 it was Mauritius ahead.

Mauritius ranks 166th and Somalia ranks 166th of 177 countries.

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

Head to head by decade

Decade Mauritius Somalia Difference Ahead
2010s 0.0937 0 0.0937 Mauritius
2020s 0.0845 0.0465 0.038 Mauritius

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Mauritius or Somalia?
Mauritius, at 0.042 against 0.042 in Somalia as of 2023.
What is the difference in dimension 4.3: geospatial data between Mauritius and Somalia?
0, with Mauritius ahead.
How many years of comparable data are there for Mauritius and Somalia?
7 years are reported by both, from 2017 to 2023.
How do Mauritius and Somalia rank globally for dimension 4.3: geospatial data?
Mauritius ranks 166th and Somalia ranks 166th 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.