Dimension 2.2: Online access - Machine Readability Score in Solomon Islands
Solomon Islands: Dimension 2.2: Online access - Machine Readability Score was 0.114 in 2023. ▲ Rising
Dimension 2.2: Online access - Machine Readability Score in Solomon Islands, 2015–2023
Source: Open Data Watch.
Analysis
The most recent figure for dimension 2.2: online access - machine readability score in Solomon Islands is 0.114, measured in 2023.
The figure is up 2.7% over ten years.
Over the whole period, dimension 2.2: online access - machine readability score in Solomon Islands peaked at 0.155 in 2020 and was at its lowest, 0.063, in 2016.
That places Solomon Islands 156th out of 180 countries with data for 2023, putting it in the bottom quarter.
Dimension 2.2: Online access - Machine Readability Score in Solomon Islands, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.111 | — |
| 2016 | 0.063 | -43.2% |
| 2017 | 0.079 | +25.4% |
| 2018 | 0.098 | +24.1% |
| 2019 | 0.098 | +0.0% |
| 2020 | 0.155 | +58.2% |
| 2021 | 0.155 | +0.0% |
| 2022 | 0.114 | -26.5% |
| 2023 | 0.114 | +0.0% |
Solomon Islands compared with similar countries
- Solomon Islands's 0.114 is below the median for lower middle income countries, which is 0.2655, 43% of the median. (46 countries reporting)
- Solomon Islands's 0.114 is below the median for East Asia & Pacific, which is 0.6525, 17% of the median. (26 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.0898 | 0.063 | 0.111 | 5 |
| 2020s | 0.1345 | 0.114 | 0.155 | 4 |
Countries ranked near Solomon Islands
- 153 Democratic Republic of Congo 0.129 compare
- 154 Togo 0.121 compare
- 155 Kenya 0.117 compare
- 157 Djibouti 0.098 compare
- 157 Madagascar 0.098 compare
- 159 Cote d'Ivoire 0.064 compare
- 159 Mozambique 0.064 compare
- 159 Sierra Leone 0.064 compare
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 2.2: online access - machine readability score in Solomon Islands?
- Dimension 2.2: online access - machine readability score in Solomon Islands was 0.114 in 2023, according to Open Data Watch.
- What is the highest dimension 2.2: online access - machine readability score recorded in Solomon Islands?
- The highest recorded value was 0.155 in 2020.
- What is the lowest dimension 2.2: online access - machine readability score recorded in Solomon Islands?
- The lowest recorded value was 0.063 in 2016.
- How does Solomon Islands rank for dimension 2.2: online access - machine readability score?
- Solomon Islands ranks 156th out of 180 countries with data for 2023.
- Is dimension 2.2: online access - machine readability score rising or falling in Solomon Islands?
- Over the last ten years it is up 2.7%. The long-run trend across the full record is rising.
- Where does this Solomon Islands data come from?
- The figures come from Open Data Watch, published as part of Dimension 2.2: Online access - Machine Readability Score. 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
This openness element measures whether data are made available in machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.