Sparsely natural vegetated areas — Area from CCI_LC in Bangladesh
Bangladesh: Sparsely natural vegetated areas — Area from CCI_LC was 8.52 1000 ha in 2022. ◆ Volatile
Sparsely natural vegetated areas — Area from CCI_LC in Bangladesh, 1992–2022
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 ha.
Analysis
In 2022, sparsely natural vegetated areas — area from cci_lc in Bangladesh stood at 8.52 1000 ha.
That represents a change of up 0.1% over ten years.
Over the whole period, sparsely natural vegetated areas — area from cci_lc in Bangladesh peaked at 8.59 1000 ha in 2013 and was at its lowest, 1.96 1000 ha, in 1992.
Bangladesh ranks 100th of 224 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Sparsely natural vegetated areas — Area from CCI_LC in Bangladesh, year by year
| Year | 1000 ha | Change |
|---|---|---|
| 1992 | 1.96 1000 ha | — |
| 1993 | 1.96 1000 ha | +0.0% |
| 1994 | 1.96 1000 ha | +0.0% |
| 1995 | 1.96 1000 ha | +0.0% |
| 1996 | 1.99 1000 ha | +1.5% |
| 1997 | 2.01 1000 ha | +1.0% |
| 1998 | 2.07 1000 ha | +3.0% |
| 1999 | 2.09 1000 ha | +1.0% |
| 2000 | 2.13 1000 ha | +1.9% |
| 2001 | 2.43 1000 ha | +14.1% |
| 2002 | 3.23 1000 ha | +32.9% |
| 2003 | 3.3 1000 ha | +2.2% |
| 2004 | 3.77 1000 ha | +14.2% |
| 2005 | 3.93 1000 ha | +4.2% |
| 2006 | 4.45 1000 ha | +13.2% |
| 2007 | 5.24 1000 ha | +17.8% |
| 2008 | 5.6 1000 ha | +6.9% |
| 2009 | 6.83 1000 ha | +22.0% |
| 2010 | 7.64 1000 ha | +11.9% |
| 2011 | 8.22 1000 ha | +7.6% |
| 2012 | 8.51 1000 ha | +3.5% |
| 2013 | 8.59 1000 ha | +0.9% |
| 2014 | 8.59 1000 ha | +0.0% |
| 2015 | 8.59 1000 ha | +0.0% |
| 2016 | 8.54 1000 ha | -0.6% |
| 2017 | 8.54 1000 ha | +0.0% |
| 2018 | 8.54 1000 ha | +0.0% |
| 2019 | 8.52 1000 ha | -0.2% |
| 2020 | 8.52 1000 ha | +0.0% |
| 2021 | 8.52 1000 ha | +0.0% |
| 2022 | 8.52 1000 ha | +0.0% |
Bangladesh compared with similar countries
- Bangladesh's 8.52 1000 ha is above the median for lower middle income countries, which is 8.52 1000 ha, 1.0× the median. (41 countries reporting)
- Bangladesh's 8.52 1000 ha is above the median for South Asia, which is 8 1000 ha, 1.1× the median. (6 countries reporting)
Biggest year-on-year movements
Years where Sparsely natural vegetated areas — Area from CCI_LC in Bangladesh changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2002 | +32.9% | 2.43 1000 ha | 3.23 1000 ha |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 2 1000 ha | 1.96 1000 ha | 2.09 1000 ha | 8 |
| 2000s | 4.09 1000 ha | 2.13 1000 ha | 6.83 1000 ha | 10 |
| 2010s | 8.43 1000 ha | 7.64 1000 ha | 8.59 1000 ha | 10 |
| 2020s | 8.52 1000 ha | 8.52 1000 ha | 8.52 1000 ha | 3 |
Countries ranked near Bangladesh
- 97 Kuwait 10.9 1000 ha compare
- 98 Antarctica 10.16 1000 ha compare
- 99 Poland 9.64 1000 ha compare
- 101 Montenegro 8.48 1000 ha compare
- 102 Fiji 8.44 1000 ha compare
- 103 Heard Island and McDonald Islands 7.63 1000 ha compare
More environment data for Bangladesh
- Historical exposure to drought — Land soil moisture anomaly -2.59 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -2.3 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.236 °C (2025)
- Temperature change 1.67 °C (2025)
- Wood-based panels — Production, annual growth rate 0 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 2.31 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate -2.43 % change on previous year (2024)
Frequently asked questions
- What is sparsely natural vegetated areas — area from cci_lc in Bangladesh?
- Sparsely natural vegetated areas — area from cci_lc in Bangladesh was 8.52 1000 ha in 2022, according to Food and Agriculture Organization of the United Nations.
- What is the highest sparsely natural vegetated areas — area from cci_lc recorded in Bangladesh?
- The highest recorded value was 8.59 1000 ha in 2013.
- What is the lowest sparsely natural vegetated areas — area from cci_lc recorded in Bangladesh?
- The lowest recorded value was 1.96 1000 ha in 1992.
- How does Bangladesh rank for sparsely natural vegetated areas — area from cci_lc?
- Bangladesh ranks 100th out of 224 countries with data for 2022.
- Is sparsely natural vegetated areas — area from cci_lc rising or falling in Bangladesh?
- Over the last ten years it is up 0.1%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sparsely natural vegetated areas — Area from CCI_LC. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 31 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT domain on Land Cover data under the Agri-Environmental Indicators section contains land cover information organized by the land cover classes of the international standard system for Environmental and Economic Accounting Central Framework (SEEA CF). The land cover information is compiled from publicly available Global Land Cover (GLC) maps: a) MODIS land cover types based on the Land Cover Classification System, LCCS; b) The European Spatial Agency (ESA) Climate Change Initiative (CCI) annual land cover maps produced by the Université catholique de Louvain (UCL)-Geomatics and now under the European Copernicus Program; c) The annual land cover maps which were produced under the European Copernicus Global Land Service (CGLS) (CGLS land cover, containing discrete land cover categorization), with spatial resolution 100m; and d) the WorldCover maps of the European Space Agency, produced at 10m resolution.