Moldova vs Papua New Guinea: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Moldova
- Papua New Guinea
How they compare
Papua New Guinea currently reports 0.238 against 0.22 in Moldova, a difference of 0.018.
That makes Papua New Guinea's figure about 1.1 times Moldova's.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Papua New Guinea ahead.
Moldova ranks 120th and Papua New Guinea ranks 117th of 177 countries.
Across the 2 decades both report, Moldova averaged higher in 1 and Papua New Guinea in 1.
Head to head by decade
| Decade | Moldova | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1792 | 0.2216 | 0.0424 | Papua New Guinea |
| 2020s | 0.1945 | 0.1655 | 0.029 | Moldova |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Moldova or Papua New Guinea?
- Papua New Guinea, at 0.238 against 0.22 in Moldova as of 2023.
- What is the difference in dimension 4.3: geospatial data between Moldova and Papua New Guinea?
- 0.018, with Papua New Guinea ahead.
- How many years of comparable data are there for Moldova and Papua New Guinea?
- 9 years are reported by both, from 2015 to 2023.
- How do Moldova and Papua New Guinea rank globally for dimension 4.3: geospatial data?
- Moldova ranks 120th 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.