Montenegro vs Venezuela: Dimension 4.3: Geospatial Data

Montenegro
0.021
in 2023
Venezuela
0.021
in 2023
Montenegro rank
171st
Venezuela rank
171st

Dimension 4.3: Geospatial Data over time

  • Montenegro
  • Venezuela
00.050.10.150.20.25201520192023

How they compare

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

Across all 9 years both countries report, Venezuela has been ahead every year.

Montenegro ranks 171st and Venezuela ranks 171st of 177 countries.

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

Head to head by decade

Decade Montenegro Venezuela Difference Ahead
2010s 0.0902 0.1902 0.1 Venezuela
2020s 0.021 0.0925 0.0715 Venezuela

Averages of every year both report within each decade.

Frequently asked questions

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