Jamaica vs Uruguay: Dimension 4.3: Geospatial Data

Jamaica
0.136
in 2023
Uruguay
0.136
in 2023
Jamaica rank
143rd
Uruguay rank
143rd

Dimension 4.3: Geospatial Data over time

  • Jamaica
  • Uruguay
0.10.150.20.250.3201520192023

How they compare

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

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

Jamaica ranks 143rd and Uruguay ranks 143rd of 177 countries.

Across the 2 decades both report, Jamaica averaged higher in 1 and Uruguay in 1.

Head to head by decade

Decade Jamaica Uruguay Difference Ahead
2010s 0.1438 0.1568 0.013 Uruguay
2020s 0.184 0.1465 0.0375 Jamaica

Averages of every year both report within each decade.

Frequently asked questions

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