Guatemala vs Laos: Dimension 4.3: Geospatial Data

Guatemala
0.367
in 2023
Laos
0.367
in 2023
Guatemala rank
49th
Laos rank
49th

Dimension 4.3: Geospatial Data over time

  • Guatemala
  • Laos
0.10.20.30.4201520192023

How they compare

Guatemala currently reports 0.367 against 0.367 in Laos, a difference of 0.

The two have swapped places 3 times across 9 shared years of data; in 2015 it was Guatemala ahead.

Guatemala ranks 49th and Laos ranks 49th of 177 countries.

Across the 2 decades both report, Guatemala averaged higher in 1 and Laos in 1.

Head to head by decade

Decade Guatemala Laos Difference Ahead
2010s 0.1898 0.1972 0.0074 Laos
2020s 0.346 0.3145 0.0315 Guatemala

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Guatemala or Laos?
Guatemala, at 0.367 against 0.367 in Laos as of 2023.
What is the difference in dimension 4.3: geospatial data between Guatemala and Laos?
0, with Guatemala ahead.
How many years of comparable data are there for Guatemala and Laos?
9 years are reported by both, from 2015 to 2023.
How do Guatemala and Laos rank globally for dimension 4.3: geospatial data?
Guatemala ranks 49th and Laos ranks 49th 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.