Dimension 4.3: Geospatial Data in Liberia
Liberia: Dimension 4.3: Geospatial Data was 0.208 in 2023. ▼ Falling
Dimension 4.3: Geospatial Data in Liberia, 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 Liberia is 0.208, measured in 2023.
That represents a change of down 3.7% over ten years.
Over the whole period, dimension 4.3: geospatial data in Liberia peaked at 0.216 in 2015 and was at its lowest, 0.139, in 2020.
That places Liberia 128th out of 180 countries with data for 2023, putting it in the middle of the range.
Dimension 4.3: Geospatial Data in Liberia, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.216 | — |
| 2016 | 0.203 | -6.0% |
| 2017 | 0.153 | -24.6% |
| 2018 | 0.192 | +25.5% |
| 2019 | 0.192 | +0.0% |
| 2020 | 0.139 | -27.6% |
| 2021 | 0.139 | +0.0% |
| 2022 | 0.208 | +49.6% |
| 2023 | 0.208 | +0.0% |
Liberia compared with similar countries
- Liberia's 0.208 is below the median for low income countries, which is 0.247, 84% of the median. (22 countries reporting)
- Liberia's 0.208 is below the median for Sub-Saharan Africa, which is 0.253, 82% of the median. (44 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.1912 | 0.153 | 0.216 | 5 |
| 2020s | 0.1735 | 0.139 | 0.208 | 4 |
Countries ranked near Liberia
- 127 Solomon Islands 0.211 compare
- 129 Afghanistan 0.199 compare
- 129 Burundi 0.199 compare
- 129 Nicaragua 0.199 compare
More reference data data for Liberia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0476 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1282 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.229 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0532 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.229 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1597 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.183 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5564 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.2 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.2896 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Liberia?
- Dimension 4.3: geospatial data in Liberia was 0.208 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 Liberia?
- The highest recorded value was 0.216 in 2015.
- What is the lowest dimension 4.3: geospatial data recorded in Liberia?
- The lowest recorded value was 0.139 in 2020.
- How does Liberia rank for dimension 4.3: geospatial data?
- Liberia ranks 128th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Liberia?
- Over the last ten years it is down 3.7%. The long-run trend across the full record is falling.
- Where does this Liberia 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.