Brazil vs Mongolia: Dimension 4.3: Geospatial Data

Brazil
0.473
in 2023
Mongolia
0.479
in 2023
Brazil rank
20th
Mongolia rank
19th

Dimension 4.3: Geospatial Data over time

  • Brazil
  • Mongolia
00.20.40.6201520192023

How they compare

Mongolia currently reports 0.479 against 0.473 in Brazil, a difference of 0.006.

The two have swapped places 2 times across 9 shared years of data; in 2015 it was Mongolia ahead.

Brazil ranks 20th and Mongolia ranks 19th of 177 countries.

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

Head to head by decade

Decade Brazil Mongolia Difference Ahead
2010s 0.3162 0.368 0.0518 Mongolia
2020s 0.431 0.458 0.027 Mongolia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Brazil or Mongolia?
Mongolia, at 0.479 against 0.473 in Brazil as of 2023.
What is the difference in dimension 4.3: geospatial data between Brazil and Mongolia?
0.006, with Mongolia ahead.
How many years of comparable data are there for Brazil and Mongolia?
9 years are reported by both, from 2015 to 2023.
How do Brazil and Mongolia rank globally for dimension 4.3: geospatial data?
Brazil ranks 20th and Mongolia ranks 19th 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.