Democratic Republic of Congo vs Papua New Guinea: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Democratic Republic of Congo
- Papua New Guinea
How they compare
Democratic Republic of Congo currently reports 0.241 against 0.238 in Papua New Guinea, a difference of 0.003.
Across all 9 years both countries report, Democratic Republic of Congo has been ahead every year.
Democratic Republic of Congo ranks 114th and Papua New Guinea ranks 117th of 177 countries.
Democratic Republic of Congo has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Democratic Republic of Congo | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2646 | 0.2216 | 0.043 | Democratic Republic of Congo |
| 2020s | 0.2515 | 0.1655 | 0.086 | Democratic Republic of Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Democratic Republic of Congo or Papua New Guinea?
- Democratic Republic of Congo, at 0.241 against 0.238 in Papua New Guinea as of 2023.
- What is the difference in dimension 4.3: geospatial data between Democratic Republic of Congo and Papua New Guinea?
- 0.003, with Democratic Republic of Congo ahead.
- How many years of comparable data are there for Democratic Republic of Congo and Papua New Guinea?
- 9 years are reported by both, from 2015 to 2023.
- How do Democratic Republic of Congo and Papua New Guinea rank globally for dimension 4.3: geospatial data?
- Democratic Republic of Congo 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
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.