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Three north-eastern states -Mizoram, Assam and Arunachal Pradesh are found to be highly vulnerable to climate change “requiring prioritisation of adaptation interventions”. A report titled “Climate Vulnerability Assessment For Adaptation Planning in India Using a Common Framework” has listed these three states in the category of “States with a relatively high vulnerability.” Other five states in the category are Odisha, Jharkhand, Chhattisgarh, Bihar and West Bengal.
Three other states in the region - Tripura, Meghalaya and Manipur are included in the category of states with moderately vulnerability. Two other north-eastern states Sikkim and Nagaland have been categorised as states with low vulnerability.
“This ranking is based on quantified impacts of extreme weather events in terms of fatalities as well as economic losses that have occurred during 1999-2018”, states the report released by the Department of Science and Technology (DST), Government of India. The report has been submitted by the Indian Institute of Technology (IIT), Mandi and IIT, Guwahati In collaboration with the Indian Institute of Science, Bengaluru under the Under the project “Climate vulnerability and risk assessment at the national level using a common framework.”
“The project and the present report are targeted to enhance the capacities of the government departments, academic and public institutions and to assist them in making informed decisions regarding adaptation planning and investment. The target group included national and state government departments, funding agencies, legislators, bureaucrats, local administration, and the general audience”, it adds.
|
States |
Vulnerability Indices |
Ranking |
Relative Vulnerability Category |
|
Jharkhand |
0.674 |
1 |
High vulnerability |
|
Mizoram |
0.645 |
2 |
High vulnerability |
|
Orissa |
0.633 |
3 |
High vulnerability |
|
Chhattisgarh |
0.623 |
4 |
High vulnerability |
|
Assam |
0.620 |
5 |
High vulnerability |
|
Bihar |
0.614 |
6 |
High vulnerability |
|
Arunachal Pradesh |
0.594 |
7 |
High vulnerability |
|
West Bengal |
0.592 |
8 |
High vulnerability |
|
Uttar Pradesh |
0.582 |
9 |
Moderate vulnerability |
|
Tripura |
0.571 |
10 |
Moderate vulnerability |
|
Gujarat |
0.562 |
11 |
Moderate vulnerability |
|
Meghalaya |
0.560 |
12 |
Moderate vulnerability |
|
Erstwhile Jammu &Kashmir |
0.550 |
13 |
Moderate vulnerability |
|
Rajasthan |
0.535 |
14 |
Moderate vulnerability |
|
Madhya Pradesh |
0.528 |
15 |
Moderate vulnerability |
|
Manipur |
0.520 |
16 |
Moderate vulnerability |
|
Andhra Pradesh |
0.510 |
17 |
Moderate vulnerability |
|
Karnataka |
0.503 |
18 |
Moderate vulnerability |
|
Himachal Pradesh |
0.486 |
19 |
Low vulnerability |
|
Telangana |
0.480 |
20 |
Low vulnerability |
|
Sikkim |
0.477 |
21 |
Low vulnerability |
|
Punjab |
0.472 |
22 |
Low vulnerability |
|
Uttarakhand |
0.468 |
23 |
Low vulnerability |
|
Haryana |
0.463 |
24 |
Low vulnerability |
|
Tamil Nadu |
0.462 |
25 |
Low vulnerability |
|
Kerala |
0.437 |
26 |
Low vulnerability |
|
Nagaland |
0.437 |
27 |
Low vulnerability |
|
Goa |
0.434 |
28 |
Low vulnerability |
|
Maharastra |
0.419 |
29 |
Low vulnerability |
The Report also includes a state-wise detailed list of drivers that lead to climate vulnerability. In case of most north-eastern states, very low coverage of crop insurance has been identified as a major driver of climate vulnerability.
|
States |
Major drivers: |
Other drivers |
|
Mizoram |
|
|
|
Assam |
|
|
|
Arunachal Pradesh |
|
|
|
Tripura |
|
|
|
Meghalaya |
|
|
|
Manipur |
|
|
|
Sikkim |
|
|
|
Nagaland |
|
|
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