Liberia vs Solomon Islands: Dimension 4.3: Geospatial Data

Liberia
0.208
in 2023
Solomon Islands
0.211
in 2023
Liberia rank
126th
Solomon Islands rank
125th

Dimension 4.3: Geospatial Data over time

  • Liberia
  • Solomon Islands
00.10.20.3201520192023

How they compare

Solomon Islands currently reports 0.211 against 0.208 in Liberia, a difference of 0.003.

The two have swapped places 3 times across 9 shared years of data; in 2015 it was Liberia ahead.

Liberia ranks 126th and Solomon Islands ranks 125th of 177 countries.

Across the 2 decades both report, Liberia averaged higher in 1 and Solomon Islands in 1.

Head to head by decade

Decade Liberia Solomon Islands Difference Ahead
2010s 0.1912 0.2144 0.0232 Solomon Islands
2020s 0.1735 0.169 0.0045 Liberia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Liberia or Solomon Islands?
Solomon Islands, at 0.211 against 0.208 in Liberia as of 2023.
What is the difference in dimension 4.3: geospatial data between Liberia and Solomon Islands?
0.003, with Solomon Islands ahead.
How many years of comparable data are there for Liberia and Solomon Islands?
9 years are reported by both, from 2015 to 2023.
How do Liberia and Solomon Islands rank globally for dimension 4.3: geospatial data?
Liberia ranks 126th and Solomon Islands ranks 125th 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.