Dimension 4.3: Geospatial Data in Cote d'Ivoire
Cote d'Ivoire: Dimension 4.3: Geospatial Data was 0.042 in 2023. ▼ Falling
Dimension 4.3: Geospatial Data in Cote d'Ivoire, 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 Cote d'Ivoire is 0.042, measured in 2023. That is the lowest value across all 9 years on record.
The figure is down 75.9% over ten years.
Over the whole period, dimension 4.3: geospatial data in Cote d'Ivoire peaked at 0.174 in 2015 and was at its lowest, 0.042, in 2022.
That places Cote d'Ivoire 169th out of 180 countries with data for 2023, putting it in the bottom quarter.
Dimension 4.3: Geospatial Data in Cote d'Ivoire, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.174 | — |
| 2016 | 0.109 | -37.4% |
| 2017 | 0.097 | -11.0% |
| 2018 | 0.086 | -11.3% |
| 2019 | 0.086 | +0.0% |
| 2020 | 0.139 | +61.6% |
| 2021 | 0.139 | +0.0% |
| 2022 | 0.042 | -69.8% |
| 2023 | 0.042 | +0.0% |
Cote d'Ivoire compared with similar countries
- Cote d'Ivoire's 0.042 is below the median for lower middle income countries, which is 0.268, 16% of the median. (46 countries reporting)
- Cote d'Ivoire's 0.042 is below the median for Sub-Saharan Africa, which is 0.253, 17% of the median. (44 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.1104 | 0.086 | 0.174 | 5 |
| 2020s | 0.0905 | 0.042 | 0.139 | 4 |
Countries ranked near Cote d'Ivoire
More reference data data for Cote d'Ivoire
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2383 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.2 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.93 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1744 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.93 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.799 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.8419 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 5.89 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 9.83 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.9495 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Cote d'Ivoire?
- Dimension 4.3: geospatial data in Cote d'Ivoire was 0.042 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 Cote d'Ivoire?
- The highest recorded value was 0.174 in 2015.
- What is the lowest dimension 4.3: geospatial data recorded in Cote d'Ivoire?
- The lowest recorded value was 0.042 in 2022.
- How does Cote d'Ivoire rank for dimension 4.3: geospatial data?
- Cote d'Ivoire ranks 169th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Cote d'Ivoire?
- Over the last ten years it is down 75.9%. The long-run trend across the full record is falling.
- Where does this Cote d'Ivoire 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.