Dimension 4.3: Geospatial Data in Dominican Republic
Dominican Republic: Dimension 4.3: Geospatial Data was 0.313 in 2023. ▬ Flat
Dimension 4.3: Geospatial Data in Dominican Republic, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
In 2023, dimension 4.3: geospatial data in Dominican Republic stood at 0.313.
That represents a change of down 25.3% over ten years.
Over the whole period, dimension 4.3: geospatial data in Dominican Republic peaked at 0.419 in 2015 and was at its lowest, 0.099, in 2017.
Dominican Republic ranks 69th of 180 countries on this measure, in the middle of the range.
Dimension 4.3: Geospatial Data in Dominican Republic, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.419 | — |
| 2016 | 0.252 | -39.9% |
| 2017 | 0.099 | -60.7% |
| 2018 | 0.144 | +45.5% |
| 2019 | 0.144 | +0.0% |
| 2020 | 0.208 | +44.4% |
| 2021 | 0.208 | +0.0% |
| 2022 | 0.313 | +50.5% |
| 2023 | 0.313 | +0.0% |
Dominican Republic compared with similar countries
- Dominican Republic's 0.313 is above the median for upper middle income countries, which is 0.2785, 1.1× the median. (54 countries reporting)
- Dominican Republic's 0.313 is above the median for Latin America & Caribbean, which is 0.253, 1.2× the median. (28 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2116 | 0.099 | 0.419 | 5 |
| 2020s | 0.2605 | 0.208 | 0.313 | 4 |
Countries ranked near Dominican Republic
More reference data data for Dominican Republic
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7575 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.46 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.79 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0601 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.79 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.54 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.9595 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 7.91 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 13.84 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.3273 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Dominican Republic?
- Dimension 4.3: geospatial data in Dominican Republic was 0.313 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 Dominican Republic?
- The highest recorded value was 0.419 in 2015.
- What is the lowest dimension 4.3: geospatial data recorded in Dominican Republic?
- The lowest recorded value was 0.099 in 2017.
- How does Dominican Republic rank for dimension 4.3: geospatial data?
- Dominican Republic ranks 69th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Dominican Republic?
- Over the last ten years it is down 25.3%. The long-run trend across the full record is flat.
- Where does this Dominican Republic 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.