Belarus vs Ghana: Dimension 4.3: Geospatial Data

Belarus
0.416
in 2023
Ghana
0.419
in 2023
Belarus rank
33rd
Ghana rank
32nd

Dimension 4.3: Geospatial Data over time

  • Belarus
  • Ghana
00.10.20.30.4201520192023

How they compare

Ghana currently reports 0.419 against 0.416 in Belarus, a difference of 0.003.

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

Belarus ranks 33rd and Ghana ranks 32nd of 177 countries.

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

Head to head by decade

Decade Belarus Ghana Difference Ahead
2010s 0.3064 0.301 0.0054 Belarus
2020s 0.3645 0.351 0.0135 Belarus

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Belarus or Ghana?
Ghana, at 0.419 against 0.416 in Belarus as of 2023.
What is the difference in dimension 4.3: geospatial data between Belarus and Ghana?
0.003, with Ghana ahead.
How many years of comparable data are there for Belarus and Ghana?
9 years are reported by both, from 2015 to 2023.
How do Belarus and Ghana rank globally for dimension 4.3: geospatial data?
Belarus ranks 33rd and Ghana ranks 32nd 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.