Dimension 4.3: Geospatial Data in Bangladesh
Bangladesh: Dimension 4.3: Geospatial Data was 0.105 in 2023. ◆ Volatile
Dimension 4.3: Geospatial Data in Bangladesh, 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 Bangladesh is 0.105, measured in 2023. That is the lowest value across all 9 years on record.
Compared with earlier readings it is down 73.9% over ten years.
Over the whole period, dimension 4.3: geospatial data in Bangladesh peaked at 0.402 in 2015 and was at its lowest, 0.105, in 2022.
Bangladesh ranks 152nd of 180 countries on this measure, in the bottom quarter.
Dimension 4.3: Geospatial Data in Bangladesh, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.402 | — |
| 2016 | 0.185 | -54.0% |
| 2017 | 0.125 | -32.4% |
| 2018 | 0.125 | +0.0% |
| 2019 | 0.125 | +0.0% |
| 2020 | 0.148 | +18.4% |
| 2021 | 0.148 | +0.0% |
| 2022 | 0.105 | -29.1% |
| 2023 | 0.105 | +0.0% |
Bangladesh compared with similar countries
- Bangladesh's 0.105 is below the median for lower middle income countries, which is 0.268, 39% of the median. (46 countries reporting)
- Bangladesh's 0.105 is below the median for South Asia, which is 0.2995, 35% of the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.1924 | 0.125 | 0.402 | 5 |
| 2020s | 0.1265 | 0.105 | 0.148 | 4 |
Countries ranked near Bangladesh
More reference data data for Bangladesh
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.46 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 9.09 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 24.63 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 24.63 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 8.25 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 2.5 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 37.85 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 105.98 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 14.25 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Bangladesh?
- Dimension 4.3: geospatial data in Bangladesh was 0.105 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 Bangladesh?
- The highest recorded value was 0.402 in 2015.
- What is the lowest dimension 4.3: geospatial data recorded in Bangladesh?
- The lowest recorded value was 0.105 in 2022.
- How does Bangladesh rank for dimension 4.3: geospatial data?
- Bangladesh ranks 152nd out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Bangladesh?
- Over the last ten years it is down 73.9%. The long-run trend across the full record is volatile.
- Where does this Bangladesh 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.