Dimension 2.2: Online access - Machine Readability Score in Azerbaijan
Azerbaijan: Dimension 2.2: Online access - Machine Readability Score was 0.95 in 2023. ▲ Rising
Dimension 2.2: Online access - Machine Readability Score in Azerbaijan, 2015–2023
Source: Open Data Watch.
Analysis
The most recent figure for dimension 2.2: online access - machine readability score in Azerbaijan is 0.95, measured in 2023. That is the highest value across all 9 years on record.
Compared with earlier readings it is up 88.9% over ten years.
Over the whole period, dimension 2.2: online access - machine readability score in Azerbaijan peaked at 0.95 in 2022 and was at its lowest, 0.503, in 2015.
Azerbaijan ranks 23rd of 180 countries on this measure, in the top quarter.
Dimension 2.2: Online access - Machine Readability Score in Azerbaijan, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.503 | — |
| 2016 | 0.869 | +72.8% |
| 2017 | 0.934 | +7.5% |
| 2018 | 0.934 | +0.0% |
| 2019 | 0.934 | +0.0% |
| 2020 | 0.919 | -1.6% |
| 2021 | 0.919 | +0.0% |
| 2022 | 0.95 | +3.4% |
| 2023 | 0.95 | +0.0% |
Azerbaijan compared with similar countries
- Azerbaijan's 0.95 is above the median for upper middle income countries, which is 0.6035, 1.6× the median. (54 countries reporting)
- Azerbaijan's 0.95 is above the median for Europe & Central Asia, which is 0.9, 1.1× the median. (50 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.8348 | 0.503 | 0.934 | 5 |
| 2020s | 0.9345 | 0.919 | 0.95 | 4 |
Countries ranked near Azerbaijan
- 20 Australia 0.952 compare
- 20 Ireland 0.952 compare
- 20 Oman 0.952 compare
- 23 Switzerland 0.95 compare
- 25 South Korea 0.936 compare
- 26 Colombia 0.933 compare
- 26 Czechia 0.933 compare
- 26 Ecuador 0.933 compare
- 26 Finland 0.933 compare
- 26 Italy 0.933 compare
- 26 Mexico 0.933 compare
- 26 Netherlands 0.933 compare
- 26 New Zealand 0.933 compare
- 26 Slovakia 0.933 compare
- 26 Turkey 0.933 compare
More reference data data for Azerbaijan
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.1322 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.94 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.34 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1063 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.34 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.4434 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.1605 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 9.23 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 11.11 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.5787 (2050)
Frequently asked questions
- What is dimension 2.2: online access - machine readability score in Azerbaijan?
- Dimension 2.2: online access - machine readability score in Azerbaijan was 0.95 in 2023, according to Open Data Watch.
- What is the highest dimension 2.2: online access - machine readability score recorded in Azerbaijan?
- The highest recorded value was 0.95 in 2022.
- What is the lowest dimension 2.2: online access - machine readability score recorded in Azerbaijan?
- The lowest recorded value was 0.503 in 2015.
- How does Azerbaijan rank for dimension 2.2: online access - machine readability score?
- Azerbaijan ranks 23rd out of 180 countries with data for 2023.
- Is dimension 2.2: online access - machine readability score rising or falling in Azerbaijan?
- Over the last ten years it is up 88.9%. The long-run trend across the full record is rising.
- Where does this Azerbaijan 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.