Haiti vs Luxembourg: Dimension 4.3: Geospatial Data

Haiti
0
in 2023
Luxembourg
0
in 2023
Haiti rank
174th
Luxembourg rank
174th

Dimension 4.3: Geospatial Data over time

  • Haiti
  • Luxembourg
00.0250.050.0750.1201520192023

How they compare

Haiti currently reports 0 against 0 in Luxembourg, a difference of 0.

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

Haiti ranks 174th and Luxembourg ranks 174th of 177 countries.

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

Head to head by decade

Decade Haiti Luxembourg Difference Ahead
2010s 0 0.068 0.068 Luxembourg
2020s 0 0.0525 0.0525 Luxembourg

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Haiti or Luxembourg?
Haiti, at 0 against 0 in Luxembourg as of 2023.
What is the difference in dimension 4.3: geospatial data between Haiti and Luxembourg?
0, with Haiti ahead.
How many years of comparable data are there for Haiti and Luxembourg?
8 years are reported by both, from 2016 to 2023.
How do Haiti and Luxembourg rank globally for dimension 4.3: geospatial data?
Haiti ranks 174th and Luxembourg ranks 174th 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.