Bolivia vs Jordan: Dimension 4.3: Geospatial Data

Bolivia
0.38
in 2023
Jordan
0.377
in 2023
Bolivia rank
47th
Jordan rank
48th

Dimension 4.3: Geospatial Data over time

  • Bolivia
  • Jordan
0.10.20.30.40.5201520192023

How they compare

Bolivia currently reports 0.38 against 0.377 in Jordan, a difference of 0.003.

The two have swapped places 3 times across 9 shared years of data; in 2015 it was Jordan ahead.

Bolivia ranks 47th and Jordan ranks 48th of 177 countries.

Across the 2 decades both report, Bolivia averaged higher in 1 and Jordan in 1.

Head to head by decade

Decade Bolivia Jordan Difference Ahead
2010s 0.2404 0.3434 0.103 Jordan
2020s 0.321 0.309 0.012 Bolivia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Bolivia or Jordan?
Bolivia, at 0.38 against 0.377 in Jordan as of 2023.
What is the difference in dimension 4.3: geospatial data between Bolivia and Jordan?
0.003, with Bolivia ahead.
How many years of comparable data are there for Bolivia and Jordan?
9 years are reported by both, from 2015 to 2023.
How do Bolivia and Jordan rank globally for dimension 4.3: geospatial data?
Bolivia ranks 47th and Jordan ranks 48th 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.