Burundi vs Solomon Islands: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Burundi
- Solomon Islands
How they compare
Solomon Islands currently reports 0.211 against 0.199 in Burundi, a difference of 0.012.
That makes Solomon Islands's figure about 1.1 times Burundi's.
The two have swapped places 1 time across 9 shared years of data; in 2015 it was Burundi ahead.
Burundi ranks 127th and Solomon Islands ranks 125th of 177 countries.
Solomon Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Burundi | Solomon Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1688 | 0.2144 | 0.0456 | Solomon Islands |
| 2020s | 0.131 | 0.169 | 0.038 | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Burundi or Solomon Islands?
- Solomon Islands, at 0.211 against 0.199 in Burundi as of 2023.
- What is the difference in dimension 4.3: geospatial data between Burundi and Solomon Islands?
- 0.012, with Solomon Islands ahead.
- How many years of comparable data are there for Burundi and Solomon Islands?
- 9 years are reported by both, from 2015 to 2023.
- How do Burundi and Solomon Islands rank globally for dimension 4.3: geospatial data?
- Burundi ranks 127th and Solomon Islands ranks 125th 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.