Japan vs Lesotho: Dimension 4.3: Geospatial Data

Japan
0.428
in 2023
Lesotho
0.431
in 2023
Japan rank
29th
Lesotho rank
28th

Dimension 4.3: Geospatial Data over time

  • Japan
  • Lesotho
0.10.20.30.40.5201520192023

How they compare

Lesotho currently reports 0.431 against 0.428 in Japan, a difference of 0.003.

The two have swapped places 1 time across 8 shared years of data; in 2016 it was Japan ahead.

Japan ranks 29th and Lesotho ranks 28th of 177 countries.

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

Head to head by decade

Decade Japan Lesotho Difference Ahead
2010s 0.4 0.1555 0.2445 Japan
2020s 0.4235 0.342 0.0815 Japan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Japan or Lesotho?
Lesotho, at 0.431 against 0.428 in Japan as of 2023.
What is the difference in dimension 4.3: geospatial data between Japan and Lesotho?
0.003, with Lesotho ahead.
How many years of comparable data are there for Japan and Lesotho?
8 years are reported by both, from 2016 to 2023.
How do Japan and Lesotho rank globally for dimension 4.3: geospatial data?
Japan ranks 29th and Lesotho ranks 28th 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.