Lesotho vs Maldives: Dimension 4.3: Geospatial Data

Lesotho
0.431
in 2023
Maldives
0.453
in 2023
Lesotho rank
28th
Maldives rank
27th

Dimension 4.3: Geospatial Data over time

  • Lesotho
  • Maldives
0.10.20.30.40.5201520192023

How they compare

Maldives currently reports 0.453 against 0.431 in Lesotho, a difference of 0.022.

That makes Maldives's figure about 1.1 times Lesotho's.

Across all 9 years both countries report, Maldives has been ahead every year.

Lesotho ranks 28th and Maldives ranks 27th of 177 countries.

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

Head to head by decade

Decade Lesotho Maldives Difference Ahead
2010s 0.1642 0.388 0.2238 Maldives
2020s 0.342 0.478 0.136 Maldives

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Lesotho or Maldives?
Maldives, at 0.453 against 0.431 in Lesotho as of 2023.
What is the difference in dimension 4.3: geospatial data between Lesotho and Maldives?
0.022, with Maldives ahead.
How many years of comparable data are there for Lesotho and Maldives?
9 years are reported by both, from 2015 to 2023.
How do Lesotho and Maldives rank globally for dimension 4.3: geospatial data?
Lesotho ranks 28th and Maldives ranks 27th 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.