Liechtenstein vs Malta: Dimension 4.3: Geospatial Data

Liechtenstein
0.458
in 2023
Malta
0.461
in 2023
Liechtenstein rank
25th
Malta rank
23rd

Dimension 4.3: Geospatial Data over time

  • Liechtenstein
  • Malta
00.10.20.30.40.5201620192023

How they compare

Malta currently reports 0.461 against 0.458 in Liechtenstein, a difference of 0.003.

The two have swapped places 1 time across 7 shared years of data; in 2017 it was Liechtenstein ahead.

Liechtenstein ranks 25th and Malta ranks 23rd of 177 countries.

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

Head to head by decade

Decade Liechtenstein Malta Difference Ahead
2010s 0.409 0.3793 0.0297 Liechtenstein
2020s 0.4535 0.4525 0.001 Liechtenstein

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Liechtenstein or Malta?
Malta, at 0.461 against 0.458 in Liechtenstein as of 2023.
What is the difference in dimension 4.3: geospatial data between Liechtenstein and Malta?
0.003, with Malta ahead.
How many years of comparable data are there for Liechtenstein and Malta?
7 years are reported by both, from 2017 to 2023.
How do Liechtenstein and Malta rank globally for dimension 4.3: geospatial data?
Liechtenstein ranks 25th and Malta ranks 23rd 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.