South Sudan vs Venezuela: Dimension 4.3: Geospatial Data

South Sudan
0
in 2023
Venezuela
0.021
in 2023
South Sudan rank
174th
Venezuela rank
171st

Dimension 4.3: Geospatial Data over time

  • South Sudan
  • Venezuela
00.10.20.3201520192023

How they compare

Venezuela currently reports 0.021 against 0 in South Sudan, a difference of 0.021.

The two have swapped places 1 time across 9 shared years of data; in 2015 it was South Sudan ahead.

South Sudan ranks 174th and Venezuela ranks 171st of 177 countries.

Across the 2 decades both report, South Sudan averaged higher in 1 and Venezuela in 1.

Head to head by decade

Decade South Sudan Venezuela Difference Ahead
2010s 0.239 0.1902 0.0488 South Sudan
2020s 0.0315 0.0925 0.061 Venezuela

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, South Sudan or Venezuela?
Venezuela, at 0.021 against 0 in South Sudan as of 2023.
What is the difference in dimension 4.3: geospatial data between South Sudan and Venezuela?
0.021, with Venezuela ahead.
How many years of comparable data are there for South Sudan and Venezuela?
9 years are reported by both, from 2015 to 2023.
How do South Sudan and Venezuela rank globally for dimension 4.3: geospatial data?
South Sudan ranks 174th and Venezuela ranks 171st 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.