Guyana vs Montenegro: Dimension 4.3: Geospatial Data

Guyana
0.021
in 2023
Montenegro
0.021
in 2023
Guyana rank
171st
Montenegro rank
171st

Dimension 4.3: Geospatial Data over time

  • Guyana
  • Montenegro
00.050.10.15201520192023

How they compare

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

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

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

Across the 2 decades both report, Guyana averaged higher in 1 and Montenegro in 1.

Head to head by decade

Decade Guyana Montenegro Difference Ahead
2010s 0.0724 0.0902 0.0178 Montenegro
2020s 0.042 0.021 0.021 Guyana

Averages of every year both report within each decade.

Frequently asked questions

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