Dimension 4.3: Geospatial Data in Solomon Islands
Solomon Islands: Dimension 4.3: Geospatial Data was 0.211 in 2023. ▼ Falling
Dimension 4.3: Geospatial Data in Solomon Islands, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
The most recent figure for dimension 4.3: geospatial data in Solomon Islands is 0.211, measured in 2023.
That represents a change of up 50.7% over ten years.
Over the whole period, dimension 4.3: geospatial data in Solomon Islands peaked at 0.3 in 2016 and was at its lowest, 0.127, in 2020.
That places Solomon Islands 127th out of 180 countries with data for 2023, putting it in the middle of the range.
Dimension 4.3: Geospatial Data in Solomon Islands, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.14 | — |
| 2016 | 0.3 | +114.3% |
| 2017 | 0.196 | -34.7% |
| 2018 | 0.218 | +11.2% |
| 2019 | 0.218 | +0.0% |
| 2020 | 0.127 | -41.7% |
| 2021 | 0.127 | +0.0% |
| 2022 | 0.211 | +66.1% |
| 2023 | 0.211 | +0.0% |
Solomon Islands compared with similar countries
- Solomon Islands's 0.211 is below the median for lower middle income countries, which is 0.268, 79% of the median. (46 countries reporting)
- Solomon Islands's 0.211 is below the median for East Asia & Pacific, which is 0.3355, 63% of the median. (26 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2144 | 0.14 | 0.3 | 5 |
| 2020s | 0.169 | 0.127 | 0.211 | 4 |
Countries ranked near Solomon Islands
More reference data data for Solomon Islands
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0077 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0075 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0154 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0002 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0154 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0259 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.02 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0427 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0894 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0009 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Solomon Islands?
- Dimension 4.3: geospatial data in Solomon Islands was 0.211 in 2023, according to Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
- What is the highest dimension 4.3: geospatial data recorded in Solomon Islands?
- The highest recorded value was 0.3 in 2016.
- What is the lowest dimension 4.3: geospatial data recorded in Solomon Islands?
- The lowest recorded value was 0.127 in 2020.
- How does Solomon Islands rank for dimension 4.3: geospatial data?
- Solomon Islands ranks 127th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Solomon Islands?
- Over the last ten years it is up 50.7%. The long-run trend across the full record is falling.
- Where does this Solomon Islands data come from?
- The figures come from Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as part of Dimension 4.3: Geospatial Data. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.