Hungary vs Zambia: Dimension 4.3: Geospatial Data

Hungary
0.292
in 2023
Zambia
0.292
in 2023
Hungary rank
81st
Zambia rank
81st

Dimension 4.3: Geospatial Data over time

  • Hungary
  • Zambia
00.10.20.30.4201520192023

How they compare

Hungary currently reports 0.292 against 0.292 in Zambia, a difference of 0.

The two have swapped places 2 times across 8 shared years of data; in 2016 it was Zambia ahead.

Hungary ranks 81st and Zambia ranks 81st of 177 countries.

Across the 2 decades both report, Hungary averaged higher in 1 and Zambia in 1.

Head to head by decade

Decade Hungary Zambia Difference Ahead
2010s 0.17 0.3363 0.1663 Zambia
2020s 0.3265 0.313 0.0135 Hungary

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Hungary or Zambia?
Hungary, at 0.292 against 0.292 in Zambia as of 2023.
What is the difference in dimension 4.3: geospatial data between Hungary and Zambia?
0, with Hungary ahead.
How many years of comparable data are there for Hungary and Zambia?
8 years are reported by both, from 2016 to 2023.
How do Hungary and Zambia rank globally for dimension 4.3: geospatial data?
Hungary ranks 81st and Zambia ranks 81st 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.