Dimension 4.3: Geospatial Data in Guyana
Guyana: Dimension 4.3: Geospatial Data was 0.021 in 2023. ◆ Volatile
Dimension 4.3: Geospatial Data in Guyana, 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 Guyana is 0.021, measured in 2023. That is the lowest value across all 9 years on record.
That represents a change of down 86.9% over ten years.
Over the whole period, dimension 4.3: geospatial data in Guyana peaked at 0.16 in 2015 and was at its lowest, 0.021, in 2022.
Guyana ranks 174th of 180 countries on this measure, in the bottom quarter.
Dimension 4.3: Geospatial Data in Guyana, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.16 | — |
| 2016 | 0.136 | -15.0% |
| 2017 | 0.022 | -83.8% |
| 2018 | 0.022 | +0.0% |
| 2019 | 0.022 | +0.0% |
| 2020 | 0.063 | +186.4% |
| 2021 | 0.063 | +0.0% |
| 2022 | 0.021 | -66.7% |
| 2023 | 0.021 | +0.0% |
Guyana compared with similar countries
- Guyana's 0.021 is below the median for high income countries, which is 0.334, 6% of the median. (57 countries reporting)
- Guyana's 0.021 is below the median for Latin America & Caribbean, which is 0.253, 8% of the median. (28 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.0724 | 0.022 | 0.16 | 5 |
| 2020s | 0.042 | 0.021 | 0.063 | 4 |
Countries ranked near Guyana
- 174 Montenegro 0.021 compare
- 174 Venezuela 0.021 compare
- 177 Haiti 0
- 177 Luxembourg 0 compare
- 177 South Sudan 0 compare
- 177 Turkmenistan 0 compare
More reference data data for Guyana
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0396 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0791 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2193 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0297 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2193 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1326 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0457 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.4179 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.05 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.1619 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Guyana?
- Dimension 4.3: geospatial data in Guyana was 0.021 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 Guyana?
- The highest recorded value was 0.16 in 2015.
- What is the lowest dimension 4.3: geospatial data recorded in Guyana?
- The lowest recorded value was 0.021 in 2022.
- How does Guyana rank for dimension 4.3: geospatial data?
- Guyana ranks 174th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Guyana?
- Over the last ten years it is down 86.9%. The long-run trend across the full record is volatile.
- Where does this Guyana 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.