Dimension 4.3: Geospatial Data in Lebanon
Lebanon: Dimension 4.3: Geospatial Data was 0.22 in 2023. ▬ Flat
Dimension 4.3: Geospatial Data in Lebanon, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Lebanon recorded 0.22 for dimension 4.3: geospatial data in 2023. That is the lowest value across all 9 years on record.
The figure is down 8.3% over ten years.
Over the whole period, dimension 4.3: geospatial data in Lebanon peaked at 0.325 in 2020 and was at its lowest, 0.22, in 2022.
That places Lebanon 122nd out of 180 countries with data for 2023, putting it in the middle of the range.
Dimension 4.3: Geospatial Data in Lebanon, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.24 | — |
| 2016 | 0.279 | +16.3% |
| 2017 | 0.263 | -5.7% |
| 2018 | 0.241 | -8.4% |
| 2019 | 0.241 | +0.0% |
| 2020 | 0.325 | +34.9% |
| 2021 | 0.325 | +0.0% |
| 2022 | 0.22 | -32.3% |
| 2023 | 0.22 | +0.0% |
Lebanon compared with similar countries
- Lebanon's 0.22 is below the median for lower middle income countries, which is 0.268, 82% of the median. (46 countries reporting)
- Lebanon's 0.22 is below the median for Middle East, North Africa, Afghanistan & Pakistan, which is 0.262, 84% of the median. (23 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2528 | 0.24 | 0.279 | 5 |
| 2020s | 0.2725 | 0.22 | 0.325 | 4 |
Countries ranked near Lebanon
- 119 Papua New Guinea 0.238 compare
- 120 Saudi Arabia 0.229 compare
- 121 Belgium 0.223 compare
- 122 Madagascar 0.22 compare
- 122 Mauritania 0.22 compare
- 122 Moldova 0.22 compare
- 122 Namibia 0.22 compare
More reference data data for Lebanon
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0413 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1892 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.3495 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0181 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.3495 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1386 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0543 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.9479 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.65 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0986 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Lebanon?
- Dimension 4.3: geospatial data in Lebanon was 0.22 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 Lebanon?
- The highest recorded value was 0.325 in 2020.
- What is the lowest dimension 4.3: geospatial data recorded in Lebanon?
- The lowest recorded value was 0.22 in 2022.
- How does Lebanon rank for dimension 4.3: geospatial data?
- Lebanon ranks 122nd out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Lebanon?
- Over the last ten years it is down 8.3%. The long-run trend across the full record is flat.
- Where does this Lebanon 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.