Mongolia vs Sweden: Dimension 4.3: Geospatial Data

Mongolia
0.479
in 2023
Sweden
0.485
in 2023
Mongolia rank
19th
Sweden rank
18th

Dimension 4.3: Geospatial Data over time

  • Mongolia
  • Sweden
00.20.40.6201520192023

How they compare

Sweden currently reports 0.485 against 0.479 in Mongolia, a difference of 0.006.

Across all 8 years both countries report, Sweden has been ahead every year.

Mongolia ranks 19th and Sweden ranks 18th of 177 countries.

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

Head to head by decade

Decade Mongolia Sweden Difference Ahead
2010s 0.3245 0.4313 0.1068 Sweden
2020s 0.458 0.4625 0.0045 Sweden

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Mongolia or Sweden?
Sweden, at 0.485 against 0.479 in Mongolia as of 2023.
What is the difference in dimension 4.3: geospatial data between Mongolia and Sweden?
0.006, with Sweden ahead.
How many years of comparable data are there for Mongolia and Sweden?
8 years are reported by both, from 2016 to 2023.
How do Mongolia and Sweden rank globally for dimension 4.3: geospatial data?
Mongolia ranks 19th and Sweden ranks 18th 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.