Djibouti vs Sri Lanka: Dimension 4.3: Geospatial Data

Djibouti
0.19
in 2023
Sri Lanka
0.619
in 2023
Djibouti rank
1st
Sri Lanka rank
4th

Dimension 4.3: Geospatial Data over time

  • Djibouti
  • Sri Lanka
00.20.40.6201520192023

How they compare

Sri Lanka currently reports 0.619 against 0.19 in Djibouti, a difference of 0.429.

That makes Sri Lanka's figure about 3.3 times Djibouti's.

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

Djibouti ranks 1st and Sri Lanka ranks 4th of 1 regions.

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

Head to head by decade

Decade Djibouti Sri Lanka Difference Ahead
2010s 0.0662 0.405 0.3388 Sri Lanka
2020s 0.1795 0.619 0.4395 Sri Lanka

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Djibouti or Sri Lanka?
Sri Lanka, at 0.619 against 0.19 in Djibouti as of 2023.
What is the difference in dimension 4.3: geospatial data between Djibouti and Sri Lanka?
0.429, with Sri Lanka ahead.
How many years of comparable data are there for Djibouti and Sri Lanka?
9 years are reported by both, from 2015 to 2023.
How do Djibouti and Sri Lanka rank globally for dimension 4.3: geospatial data?
Djibouti ranks 1st and Sri Lanka ranks 4th of 1 regions.
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.