Angola vs Papua New Guinea: Dimension 4.3: Geospatial Data

Angola
0.241
in 2023
Papua New Guinea
0.238
in 2023
Angola rank
114th
Papua New Guinea rank
117th

Dimension 4.3: Geospatial Data over time

  • Angola
  • Papua New Guinea
00.10.20.3201520192023

How they compare

Angola currently reports 0.241 against 0.238 in Papua New Guinea, a difference of 0.003.

The two have swapped places 1 time across 9 shared years of data; in 2015 it was Papua New Guinea ahead.

Angola ranks 114th and Papua New Guinea ranks 117th of 177 countries.

Across the 2 decades both report, Angola averaged higher in 1 and Papua New Guinea in 1.

Head to head by decade

Decade Angola Papua New Guinea Difference Ahead
2010s 0.053 0.2216 0.1686 Papua New Guinea
2020s 0.2515 0.1655 0.086 Angola

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Angola or Papua New Guinea?
Angola, at 0.241 against 0.238 in Papua New Guinea as of 2023.
What is the difference in dimension 4.3: geospatial data between Angola and Papua New Guinea?
0.003, with Angola ahead.
How many years of comparable data are there for Angola and Papua New Guinea?
9 years are reported by both, from 2015 to 2023.
How do Angola and Papua New Guinea rank globally for dimension 4.3: geospatial data?
Angola ranks 114th and Papua New Guinea ranks 117th 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.