Marshall Islands vs Niger: Dimension 4.3: Geospatial Data

Marshall Islands
0.291
in 2023
Niger
0.283
in 2023
Marshall Islands rank
86th
Niger rank
87th

Dimension 4.3: Geospatial Data over time

  • Marshall Islands
  • Niger
00.10.20.3201520192023

How they compare

Marshall Islands currently reports 0.291 against 0.283 in Niger, a difference of 0.008.

The two have swapped places 2 times across 9 shared years of data; in 2015 it was Marshall Islands ahead.

Marshall Islands ranks 86th and Niger ranks 87th of 177 countries.

Across the 2 decades both report, Marshall Islands averaged higher in 1 and Niger in 1.

Head to head by decade

Decade Marshall Islands Niger Difference Ahead
2010s 0.2308 0.278 0.0472 Niger
2020s 0.3135 0.268 0.0455 Marshall Islands

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Marshall Islands or Niger?
Marshall Islands, at 0.291 against 0.283 in Niger as of 2023.
What is the difference in dimension 4.3: geospatial data between Marshall Islands and Niger?
0.008, with Marshall Islands ahead.
How many years of comparable data are there for Marshall Islands and Niger?
9 years are reported by both, from 2015 to 2023.
How do Marshall Islands and Niger rank globally for dimension 4.3: geospatial data?
Marshall Islands ranks 86th and Niger ranks 87th 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.