Fiji vs Uruguay: Dimension 4.3: Geospatial Data

Fiji
0.136
in 2023
Uruguay
0.136
in 2023
Fiji rank
143rd
Uruguay rank
143rd

Dimension 4.3: Geospatial Data over time

  • Fiji
  • Uruguay
00.10.20.3201520192023

How they compare

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

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

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

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

Head to head by decade

Decade Fiji Uruguay Difference Ahead
2010s 0.0326 0.1568 0.1242 Uruguay
2020s 0.1145 0.1465 0.032 Uruguay

Averages of every year both report within each decade.

Frequently asked questions

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