Peru vs Sudan: Dimension 4.3: Geospatial Data

Peru
0.19
in 2023
Sudan
0.186
in 2023
Peru rank
130th
Sudan rank
131st

Dimension 4.3: Geospatial Data over time

  • Peru
  • Sudan
00.10.20.3201520192023

How they compare

Peru currently reports 0.19 against 0.186 in Sudan, a difference of 0.004.

The two have swapped places 4 times across 9 shared years of data; in 2015 it was Peru ahead.

Peru ranks 130th and Sudan ranks 131st of 177 countries.

Across the 2 decades both report, Peru averaged higher in 1 and Sudan in 1.

Head to head by decade

Decade Peru Sudan Difference Ahead
2010s 0.2374 0.1844 0.053 Peru
2020s 0.1795 0.186 0.0065 Sudan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Peru or Sudan?
Peru, at 0.19 against 0.186 in Sudan as of 2023.
What is the difference in dimension 4.3: geospatial data between Peru and Sudan?
0.004, with Peru ahead.
How many years of comparable data are there for Peru and Sudan?
9 years are reported by both, from 2015 to 2023.
How do Peru and Sudan rank globally for dimension 4.3: geospatial data?
Peru ranks 130th and Sudan ranks 131st 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.