Indian State of Forest Report - 2023 (Detailed Analysis with Tables)
Indian State of Forest Report - 2023 (Detailed Analysis with Tables)

Indian State of Forest Report 2023
Metric |
ISFR 2019 |
ISFR 2021 |
ISFR 2023 |
Change (2019→2021) |
% Change (2019→2021) |
Change (2021→2023) |
% Change (2021→2023) |
% of India’s Geographical Area (2023) |
Total Forest Cover (sq km) |
712,249 |
713,789 |
715,343 |
+1,540 |
+0.22% |
+1,554 |
+0.22% |
21.76% |
Tree Cover (sq km) |
95,027 |
95,748 |
97,037 |
+721 |
+0.76% |
+1,289 |
+1.35% |
3.41% |
Total Forest & Tree Cover (sq km) |
807,276 |
809,537 |
827,357 |
+2,261 |
+0.28% |
+17,820 |
+2.20% |
25.17% |
Mangrove Cover (sq km) |
4,975 |
4,992 |
5,009 |
+17 |
+0.34% |
+17 |
+0.34% |
~0.15% |
Carbon Stock (million tonnes) |
7,124.6 |
7,204.0 |
7,283.4* |
+79.4 |
+1.11% |
+79.4* |
~+1.10% |
N/A |
Note:
- India’s total geographical area is 3,287,263 sq km.
- *The 2023 carbon stock figure is an estimate based on incremental trends.
- ISFR is released biennially by the Forest Survey of India (FSI) under the Ministry of Environment, Forest and Climate Change.
Explanation of Terminologies (National-Level Data)
1. Total Forest Cover
o Represents the total area (in sq km) under forest as per the FSI definition: land with a tree canopy density of 10% or more.
o Indicates the extent of forests across the country.
2. Tree Cover
o Refers to tree patches (outside recorded forest areas) with an area less than 1 hectare but having a tree canopy density of more than 10%.
o Captures scattered trees, blocks, and other small patches not included in forest cover.
3. Total Forest & Tree Cover
o A combined metric that sums the Total Forest Cover + Tree Cover.
o Gives a holistic picture of both statutory forested lands and scattered tree patches.
4. Mangrove Cover
o Specific measurement of the area covered by mangrove forests along the coastline and estuarine regions.
o Mangroves are critical for coastal protection, biodiversity, and carbon sequestration.
5. Carbon Stock
o The total amount of carbon stored in the country’s forest vegetation, including biomass (above and below ground).
o Reflects the role of forests in mitigating climate change by absorbing CO₂ from the atmosphere.
6. Change (2019→2021) / (2021→2023) and % Change
o Indicates the absolute (sq km) and relative (%) increase or decrease between two assessment years.
o Helps understand trends in forest area gains or losses over time.
7. % of India’s Geographical Area
o The portion of the country’s total area occupied by each metric.
o Offers a comparative context to see how much of India’s landmass is under forest/tree/mangrove cover.
Forest Density Class |
ISFR 2019 (sq km) |
ISFR 2021 (sq km) |
ISFR 2023 (sq km) |
Change (2019→2021) |
% Change (2019→2021) |
Change (2021→2023) |
% Change (2021→2023) |
% of India’s Geographical Area (2023) |
Very Dense Forest (VDF) |
99,278 |
99,779 |
100,280 |
+501 |
+0.50% |
+501 |
+0.50% |
~3.04% |
Moderately Dense Forest (MDF) |
308,472 |
306,890 |
305,050 |
-1,582 |
-0.51% |
-1,840 |
-0.60% |
~9.28% |
Open Forest (OF) |
304,499 |
307,120 |
310,013 |
+2,621 |
+0.86% |
+2,893 |
+0.94% |
~9.44% |
Explanation of Terminologies (Forest Density Classes)
1. Very Dense Forest (VDF)
o Forest with a canopy density of 70% or more.
o Often indicates pristine or near-pristine forest areas with minimal anthropogenic disturbance and high biodiversity.
2. Moderately Dense Forest (MDF)
o Forest with a canopy density between 40% and 70%.
o Generally healthy forests but with somewhat lower canopy coverage compared to VDF.
3. Open Forest (OF)
o Forest with a canopy density between 10% and 40%.
o Often indicates degraded forests or areas transitioning between shrubland and denser forest conditions.
4. Change & % Change
o Shows how the area in each density class has shifted between two time periods, highlighting transitions (e.g., from MDF to OF or vice versa).
5. % of India’s Geographical Area
o The share of each forest density class in relation to the entire landmass of India (3,287,263 sq km).
Metric |
ISFR 2019 |
ISFR 2021 |
ISFR 2023 |
Change (2019→2021) |
% Change (2019→2021) |
Change (2021→2023) |
% Change (2021→2023) |
Bamboo-Bearing Area (sq km) |
160,037 |
149,443 |
147,812 |
-10,594 |
-6.62% |
-1,631 |
-1.09% |
Explanation of Terminologies (Bamboo Resources)
1. Bamboo-Bearing Area
o The total area in forests (and sometimes outside forests) with bamboo presence.
o Bamboo plays a significant role in rural livelihoods, paper and pulp industries, and soil conservation.
2. Change (2019→2021) / (2021→2023) and % Change
o Indicates the decline or increase in the extent of bamboo-bearing areas over time.
o Negative changes highlight potential overharvesting, habitat loss, or other ecological pressures.
Metric |
ISFR 2019 |
ISFR 2021 |
ISFR 2023 |
Change (2021→2023) |
% of Total Forest Cover (2023) |
Forest Fire–Prone Areas (% of total forest cover) |
Data Not Available |
22.27% |
22.35% |
+0.08 percentage points |
22.35% |
Explanation of Terminologies (Forest Fire–Prone Areas)
1. Forest Fire–Prone Areas
o The percentage of total forest cover that is vulnerable to fires, either due to climatic conditions, vegetation type, human activities, or topography.
o A critical metric for disaster management and preventive planning.
2. % of Total Forest Cover
o Indicates how much of the existing forest cover is at risk, rather than just the geographical area.
o Reflects the management challenge in terms of monitoring and mitigating fire incidents.
Top Five States by Largest Forest Cover
State |
ISFR 2021 (sq km) |
ISFR 2023 (sq km) |
Change (2021→2023) |
% Change (2021→2023) |
% of State’s Geographical Area (2023) |
Madhya Pradesh |
77,493 |
77,851 |
+358 |
+0.46% |
25.14% |
Arunachal Pradesh |
66,964 |
66,872 |
-92 |
-0.14% |
79.29% |
Chhattisgarh |
55,611 |
55,721 |
+110 |
+0.20% |
41.15% |
Odisha |
52,156 |
52,248 |
+92 |
+0.18% |
33.53% |
Maharashtra |
50,798 |
50,920 |
+122 |
+0.24% |
16.55% |
States with Highest Percentage of Forest Cover
State |
% of State’s Geographical Area under Forest Cover |
Mizoram |
84.53% |
Arunachal Pradesh |
79.29% |
Meghalaya |
76.00% |
Manipur |
74.34% |
Nagaland |
73.90% |
Explanation of Terminologies (State-Level Data)
1. Largest Forest Cover (sq km)
o Absolute forest area in a state.
o Helps identify states with the highest volumes of forested land, vital for biodiversity and resource management.
2. Change & % Change (2021→2023)
o Shows how the forest cover changed in each state over the stated period.
o Offers insights into deforestation or afforestation rates at the state level.
3. % of State’s Geographical Area
o The proportion of each state’s total area that is forested.
o Can be high in smaller states with dense forests (e.g., Northeast India) and lower in larger or more arid states.
4. Highest Percentage of Forest Cover
o Identifies states that have the largest fraction of their land under forest, even if their absolute forest area might be smaller compared to larger states.
Initiative / Scheme |
Key Objective |
Green India Mission |
Enhancing forest cover and improving ecosystem services in targeted landscapes. |
National Afforestation Programme |
Afforestation and regeneration of degraded forest lands to boost green cover and restore ecological balance. |
Nagar Van Yojana |
Increasing green cover in urban and peri-urban areas (urban forests) to improve the quality of life for city dwellers. |
State/UT Initiatives |
Various local plantation drives, habitat improvement, and watershed management projects supported by States/UTs. |
Explanation of Terminologies (Afforestation Efforts)
1. Green India Mission
o A centrally sponsored program aiming to increase forest cover and enhance ecosystem services (like carbon sequestration, soil and water conservation).
2. National Afforestation Programme
o Focused on regenerating degraded forest areas to improve their ecological value and productivity.
o Implemented through agencies like Forest Development Agencies (FDAs).
3. Nagar Van Yojana
o Targets the creation of city forests (“Nagar Vans”) for recreation, microclimate regulation, and urban biodiversity.
o Helps improve air quality and reduce urban heat island effects.
4. State/UT Initiatives
o Each state/UT runs its own schemes (plantation drives, watershed management, etc.) suited to local conditions and policy priorities.
Aspect |
Description |
Nagar Van Yojana |
Establishing “Urban Forests” across 200+ cities for recreational purposes and ecological benefits. |
Peri-Urban Plantations |
Developing green belts around city outskirts to address pollution, mitigate heat, and improve biodiversity. |
Smart City Projects |
Incorporating green spaces (tree-lined avenues, vertical gardens, etc.) into broader urban development initiatives. |
Explanation of Terminologies (Urban Green Spaces)
1. Nagar Van (Urban Forest)
o Forested areas within or near cities that provide recreational spaces and ecosystem services (e.g., pollution reduction, habitat for urban wildlife).
2. Peri-Urban Plantations
o Tree plantations around the periphery of urban areas, creating buffer zones between city infrastructure and rural/semi-rural areas.
o Helps absorb pollutants and regulate temperature.
3. Smart City Projects
o Integrated urban development initiatives focusing on sustainability, technology, and quality of life.
o Emphasize green infrastructure alongside efficient public services.
· Incremental Increase in Forest & Tree Cover: Small but consistent gains in total forest cover and tree cover between 2019 and 2023.
· Mangroves: Continued growth reflects successful coastal and estuarine conservation efforts.
· Carbon Stock Growth: Demonstrates the potential of Indian forests to mitigate climate change by sequestering more carbon.
· Forest Fire–Prone Areas: Around 22% of total forest cover is vulnerable, necessitating enhanced monitoring and fire management strategies.
· Bamboo Bearing Area Decline: Requires targeted measures to conserve and sustainably harvest bamboo resources.
· Afforestation & Urban Green Initiatives: Governmental programs like Green India Mission, National Afforestation Programme, and Nagar Van Yojana are crucial to sustain and increase green cover, both in rural and urban contexts.