Ecuador vs Rwanda: Dimension 4.3: Geospatial Data

Ecuador
0.274
in 2023
Rwanda
0.277
in 2023
Ecuador rank
94th
Rwanda rank
91st

Dimension 4.3: Geospatial Data over time

  • Ecuador
  • Rwanda
00.10.20.30.4201520192023

How they compare

Rwanda currently reports 0.277 against 0.274 in Ecuador, a difference of 0.003.

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

Ecuador ranks 94th and Rwanda ranks 91st of 177 countries.

Across the 2 decades both report, Ecuador averaged higher in 1 and Rwanda in 1.

Head to head by decade

Decade Ecuador Rwanda Difference Ahead
2010s 0.2994 0.1228 0.1766 Ecuador
2020s 0.268 0.295 0.027 Rwanda

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Ecuador or Rwanda?
Rwanda, at 0.277 against 0.274 in Ecuador as of 2023.
What is the difference in dimension 4.3: geospatial data between Ecuador and Rwanda?
0.003, with Rwanda ahead.
How many years of comparable data are there for Ecuador and Rwanda?
9 years are reported by both, from 2015 to 2023.
How do Ecuador and Rwanda rank globally for dimension 4.3: geospatial data?
Ecuador ranks 94th and Rwanda ranks 91st 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.