Dimension 4.3: Geospatial Data in Djibouti
Djibouti: Dimension 4.3: Geospatial Data was 0.19 in 2023. ◆ Volatile
Dimension 4.3: Geospatial Data in Djibouti, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Djibouti recorded 0.19 for dimension 4.3: geospatial data in 2023. That is the highest value across all 9 years on record.
The figure is up 50.8% over ten years.
Over the whole period, dimension 4.3: geospatial data in Djibouti peaked at 0.19 in 2022 and was at its lowest, 0.043, in 2017.
That places Djibouti 132nd out of 180 countries with data for 2023, putting it in the middle of the range.
Dimension 4.3: Geospatial Data in Djibouti, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.126 | — |
| 2016 | 0.076 | -39.7% |
| 2017 | 0.043 | -43.4% |
| 2018 | 0.043 | +0.0% |
| 2019 | 0.043 | +0.0% |
| 2020 | 0.169 | +293.0% |
| 2021 | 0.169 | +0.0% |
| 2022 | 0.19 | +12.4% |
| 2023 | 0.19 | +0.0% |
Djibouti compared with similar countries
- Djibouti's 0.19 is below the median for lower middle income countries, which is 0.268, 71% of the median. (46 countries reporting)
- Djibouti's 0.19 is below the median for Middle East, North Africa, Afghanistan & Pakistan, which is 0.262, 73% of the median. (23 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.0662 | 0.043 | 0.126 | 5 |
| 2020s | 0.1795 | 0.169 | 0.19 | 4 |
Countries ranked near Djibouti
More reference data data for Djibouti
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0052 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.2231 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2286 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0003 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2286 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0175 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0092 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.01 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.04 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0016 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Djibouti?
- Dimension 4.3: geospatial data in Djibouti was 0.19 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 Djibouti?
- The highest recorded value was 0.19 in 2022.
- What is the lowest dimension 4.3: geospatial data recorded in Djibouti?
- The lowest recorded value was 0.043 in 2017.
- How does Djibouti rank for dimension 4.3: geospatial data?
- Djibouti ranks 132nd out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Djibouti?
- Over the last ten years it is up 50.8%. The long-run trend across the full record is volatile.
- Where does this Djibouti 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.