Jordan vs Laos: Dimension 4.3: Geospatial Data

Jordan
0.377
in 2023
Laos
0.367
in 2023
Jordan rank
48th
Laos rank
49th

Dimension 4.3: Geospatial Data over time

  • Jordan
  • Laos
00.10.20.30.40.5201520192023

How they compare

Jordan currently reports 0.377 against 0.367 in Laos, a difference of 0.01.

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

Jordan ranks 48th and Laos ranks 49th of 177 countries.

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

Head to head by decade

Decade Jordan Laos Difference Ahead
2010s 0.3434 0.1972 0.1462 Jordan
2020s 0.309 0.3145 0.0055 Laos

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Jordan or Laos?
Jordan, at 0.377 against 0.367 in Laos as of 2023.
What is the difference in dimension 4.3: geospatial data between Jordan and Laos?
0.01, with Jordan ahead.
How many years of comparable data are there for Jordan and Laos?
9 years are reported by both, from 2015 to 2023.
How do Jordan and Laos rank globally for dimension 4.3: geospatial data?
Jordan ranks 48th 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.