Dimension 4.3: Geospatial Data in United Arab Emirates
United Arab Emirates: Dimension 4.3: Geospatial Data was 0.401 in 2023. ▲ Rising
Dimension 4.3: Geospatial Data in United Arab Emirates, 2016–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
United Arab Emirates recorded 0.401 for dimension 4.3: geospatial data in 2023. That is the highest value across all 8 years on record.
The figure is up 28.5% over ten years.
That places United Arab Emirates 37th out of 180 countries with data for 2023, putting it in the top quarter.
Dimension 4.3: Geospatial Data in United Arab Emirates, year by year
| Year | Value | Change |
|---|---|---|
| 2016 | 0.312 | — |
| 2017 | 0.181 | -42.0% |
| 2018 | 0.237 | +30.9% |
| 2019 | 0.237 | +0.0% |
| 2020 | 0.367 | +54.9% |
| 2021 | 0.367 | +0.0% |
| 2022 | 0.401 | +9.3% |
| 2023 | 0.401 | +0.0% |
United Arab Emirates compared with similar countries
- United Arab Emirates's 0.401 is above the median for high income countries, which is 0.334, 1.2× the median. (57 countries reporting)
- United Arab Emirates's 0.401 is above the median for Middle East, North Africa, Afghanistan & Pakistan, which is 0.262, 1.5× the median. (23 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2417 | 0.181 | 0.312 | 4 |
| 2020s | 0.384 | 0.367 | 0.401 | 4 |
Countries ranked near United Arab Emirates
- 34 Netherlands 0.411 compare
- 35 Macao 0.408 compare
- 36 Cuba 0.407 compare
- 38 South Korea 0.398 compare
- 38 Kyrgyzstan 0.398 compare
- 38 Uzbekistan 0.398 compare
More reference data data for United Arab Emirates
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0407 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.4839 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.6291 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0001 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.6291 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1364 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0486 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.91 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 2.53 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0008 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in United Arab Emirates?
- Dimension 4.3: geospatial data in United Arab Emirates was 0.401 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 United Arab Emirates?
- The highest recorded value was 0.401 in 2022.
- What is the lowest dimension 4.3: geospatial data recorded in United Arab Emirates?
- The lowest recorded value was 0.181 in 2017.
- How does United Arab Emirates rank for dimension 4.3: geospatial data?
- United Arab Emirates ranks 37th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in United Arab Emirates?
- Over the last ten years it is up 28.5%. The long-run trend across the full record is rising.
- Where does this United Arab Emirates 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 — 8 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.