Papua New Guinea vs Saudi Arabia: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Papua New Guinea
- Saudi Arabia
How they compare
Papua New Guinea currently reports 0.238 against 0.229 in Saudi Arabia, a difference of 0.009.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Papua New Guinea ahead.
Papua New Guinea ranks 119th and Saudi Arabia ranks 120th of 180 countries.
Saudi Arabia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Papua New Guinea | Saudi Arabia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2216 | 0.2462 | 0.0246 | Saudi Arabia |
| 2020s | 0.1655 | 0.235 | 0.0695 | Saudi Arabia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Papua New Guinea or Saudi Arabia?
- Papua New Guinea, at 0.238 against 0.229 in Saudi Arabia as of 2023.
- What is the difference in dimension 4.3: geospatial data between Papua New Guinea and Saudi Arabia?
- 0.009, with Papua New Guinea ahead.
- How many years of comparable data are there for Papua New Guinea and Saudi Arabia?
- 9 years are reported by both, from 2015 to 2023.
- How do Papua New Guinea and Saudi Arabia rank globally for dimension 4.3: geospatial data?
- Papua New Guinea ranks 119th and Saudi Arabia ranks 120th of 180 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.