El Salvador vs Jamaica: Dimension 4.3: Geospatial Data

El Salvador
0.136
in 2023
Jamaica
0.136
in 2023
El Salvador rank
143rd
Jamaica rank
143rd

Dimension 4.3: Geospatial Data over time

  • El Salvador
  • Jamaica
0.050.10.150.20.25201520192023

How they compare

El Salvador currently reports 0.136 against 0.136 in Jamaica, a difference of 0.

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

El Salvador ranks 143rd and Jamaica ranks 143rd of 177 countries.

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

Head to head by decade

Decade El Salvador Jamaica Difference Ahead
2010s 0.1094 0.1438 0.0344 Jamaica
2020s 0.125 0.184 0.059 Jamaica

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, El Salvador or Jamaica?
El Salvador, at 0.136 against 0.136 in Jamaica as of 2023.
What is the difference in dimension 4.3: geospatial data between El Salvador and Jamaica?
0, with El Salvador ahead.
How many years of comparable data are there for El Salvador and Jamaica?
9 years are reported by both, from 2015 to 2023.
How do El Salvador and Jamaica rank globally for dimension 4.3: geospatial data?
El Salvador ranks 143rd and Jamaica ranks 143rd 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.