Germany vs Malta: Dimension 4.3: Geospatial Data

Germany
0.467
in 2023
Malta
0.461
in 2023
Germany rank
22nd
Malta rank
23rd

Dimension 4.3: Geospatial Data over time

  • Germany
  • Malta
00.10.20.30.40.5201620192023

How they compare

Germany currently reports 0.467 against 0.461 in Malta, a difference of 0.006.

The two have swapped places 3 times across 8 shared years of data; in 2016 it was Malta ahead.

Germany ranks 22nd and Malta ranks 23rd of 177 countries.

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

Head to head by decade

Decade Germany Malta Difference Ahead
2010s 0.3417 0.382 0.0403 Malta
2020s 0.4415 0.4525 0.011 Malta

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Germany or Malta?
Germany, at 0.467 against 0.461 in Malta as of 2023.
What is the difference in dimension 4.3: geospatial data between Germany and Malta?
0.006, with Germany ahead.
How many years of comparable data are there for Germany and Malta?
8 years are reported by both, from 2016 to 2023.
How do Germany and Malta rank globally for dimension 4.3: geospatial data?
Germany ranks 22nd 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.