Sierra Leone vs Sri Lanka: Dimension 4.3: Geospatial Data

Sierra Leone
0.604
in 2023
Sri Lanka
0.619
in 2023
Sierra Leone rank
5th
Sri Lanka rank
4th

Dimension 4.3: Geospatial Data over time

  • Sierra Leone
  • Sri Lanka
0.20.30.40.50.6201520192023

How they compare

Sri Lanka currently reports 0.619 against 0.604 in Sierra Leone, a difference of 0.015.

Across all 9 years both countries report, Sri Lanka has been ahead every year.

Sierra Leone ranks 5th and Sri Lanka ranks 4th of 177 countries.

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

Head to head by decade

Decade Sierra Leone Sri Lanka Difference Ahead
2010s 0.2816 0.405 0.1234 Sri Lanka
2020s 0.5175 0.619 0.1015 Sri Lanka

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Sierra Leone or Sri Lanka?
Sri Lanka, at 0.619 against 0.604 in Sierra Leone as of 2023.
What is the difference in dimension 4.3: geospatial data between Sierra Leone and Sri Lanka?
0.015, with Sri Lanka ahead.
How many years of comparable data are there for Sierra Leone and Sri Lanka?
9 years are reported by both, from 2015 to 2023.
How do Sierra Leone and Sri Lanka rank globally for dimension 4.3: geospatial data?
Sierra Leone ranks 5th and Sri Lanka ranks 4th 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.