India's reported forest cover has grown. Its natural forest has not, by the same amount.
Data year: India State of Forest Report 2023 · Source: Forest Survey of India · Updated: BiennialIn preparation
India's reported forest cover has grown. Its natural forest has not, by the same amount.
The Forest Survey of India assesses cover every two years from satellite imagery, on a canopy density threshold. Under that definition a commercial plantation, an orchard and an old-growth forest can all register as forest cover.
That is not a flaw to be hidden; it is a definition to be stated. Separating dense natural forest from plantation and open cover gives a different trend line from the headline total, and both belong on the page.
These are the indicators this topic is built from. Each names its source and the year that source refers to, because an official figure is not the same thing as a current one.
| Indicator | Unit | Source and year |
|---|---|---|
| Total forest cover | % of geographic area | Forest Survey of IndiaData year: India State of Forest Report 2023 |
| Very dense forest cover | sq km | Forest Survey of IndiaData year: India State of Forest Report 2023 |
| Change between assessment cycles | sq km | Forest Survey of IndiaData year: India State of Forest Report 2023 |
| Land under degradation | % of land area | Space Applications Centre desertification atlasData year: 2021 atlas (2018-19 assessment) |
A state map of gain and loss with plantation area shown separately from natural forest.
The brief above is written and the sources are identified. What remains is the data build. Until it publishes, no figure for this topic appears anywhere on DataSpeaks — we would rather show nothing than show a placeholder.
Where a source has not reported for a recent year, the gap is shown as a gap. We do not interpolate to make a series look continuous or a map look complete. Where two agencies publish different figures for the same thing, both appear and we say which is which.
Charts from this topic may be reused with credit to DataSpeaks and to the original source named above. The underlying data remains under its own licence — most Government of India datasets permit reuse with attribution, some survey microdata does not.
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