Cuba vs South Korea: Dimension 4.3: Geospatial Data

Cuba
0.407
in 2023
South Korea
0.398
in 2023
Cuba rank
36th
South Korea rank
38th

Dimension 4.3: Geospatial Data over time

  • Cuba
  • South Korea
0.20.30.40.5201520192023

How they compare

Cuba currently reports 0.407 against 0.398 in South Korea, a difference of 0.009.

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

Cuba ranks 36th and South Korea ranks 38th of 177 countries.

Across the 2 decades both report, Cuba averaged higher in 1 and South Korea in 1.

Head to head by decade

Decade Cuba South Korea Difference Ahead
2010s 0.1825 0.3132 0.1307 South Korea
2020s 0.4015 0.3765 0.025 Cuba

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Cuba or South Korea?
Cuba, at 0.407 against 0.398 in South Korea as of 2023.
What is the difference in dimension 4.3: geospatial data between Cuba and South Korea?
0.009, with Cuba ahead.
How many years of comparable data are there for Cuba and South Korea?
8 years are reported by both, from 2016 to 2023.
How do Cuba and South Korea rank globally for dimension 4.3: geospatial data?
Cuba ranks 36th and South Korea ranks 38th 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.