Australia vs Chile: Dimension 4.3: Geospatial Data

Australia
0.386
in 2023
Chile
0.386
in 2023
Australia rank
42nd
Chile rank
42nd

Dimension 4.3: Geospatial Data over time

  • Australia
  • Chile
00.10.20.30.40.5201520192023

How they compare

Australia currently reports 0.386 against 0.386 in Chile, a difference of 0.

The two have swapped places 1 time across 8 shared years of data; in 2016 it was Australia ahead.

Australia ranks 42nd and Chile ranks 42nd of 177 countries.

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

Head to head by decade

Decade Australia Chile Difference Ahead
2010s 0.3488 0.2968 0.052 Australia
2020s 0.339 0.339 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Australia or Chile?
Australia, at 0.386 against 0.386 in Chile as of 2023.
What is the difference in dimension 4.3: geospatial data between Australia and Chile?
0, with Australia ahead.
How many years of comparable data are there for Australia and Chile?
8 years are reported by both, from 2016 to 2023.
How do Australia and Chile rank globally for dimension 4.3: geospatial data?
Australia ranks 42nd and Chile ranks 42nd 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.