Data Dictionary

Column	Type	Label	Description
id	int4	index
year	text	Year
state_code	text	State Code
state_name	text	State Name
district_code	text	District Code
district_name	text	District Name
climate_vul_in	numeric	Climate vulnerability index
area_crop_insur	numeric	Area covered under crop insurance (%)
area_rainfed_agri	numeric	Proportion of the area under rainfed agriculture
area_forest_per_hun_population	numeric	Total area of forest per 100 rural population
women_workforce	numeric	Women participation in the workforce (%)
avg_days_employement	numeric	Average days of employment provided per household under mgnrega in a year (%)
road_density	numeric	Road density
health_centre	numeric	Functional health centres per thousand population
infant_mortality	numeric	Infant mortality rate
household_drinking_water	numeric	Households with the improved drinking water source (%)
yield_variability	numeric	Yield variability of food grains
livestock	numeric	Livestock per population (%)
female_literacy	numeric	Female literacy rate (%)
household_highest_earning	numeric	Households with monthly income of highest earning household members in a rural area less than rs. 5,000/- (%)

Additional Information

Field	Value
Data last updated	June 24, 2024
Metadata last updated	June 25, 2024
Created	June 24, 2024
Format	CSV
License	Open Data Commons Attribution License
Additional info	nan
Data extraction page	https://dst.gov.in/sites/default/files/Full%20Report%20%281%29.pdf
Data insights	By assessing and ranking the most vulnerable districts and states, this information equips policymakers and decision-makers in Himachal Pradesh to strategically prioritize locations for climate risk mitigation efforts. These insights, driven by data, not only inform adaptation planning but also guide targeted investments in critical sectors such as agriculture, water resources, and healthcare. Focusing on vulnerable regions like the Himalayas and coastal areas, these findings support the development of impactful projects eligible for climate-focused funds such as the Green Climate Fund and Adaptation Fund. Additionally, they aid in meeting Nationally Determined Contributions, ensuring a more resilient response to climate change. Integrating this data into disaster management strategies enables proactive and effective risk reduction, contributing significantly to efforts aimed at enhancing climate resilience.
Data last updated	2022-03-16 00:00:00
Data retreival date	2022-06-12 00:00:00
Datastore active	True
Frequency	Once
Granularity	District
Has views	True
Id	b447c1e7-4e5c-4f1a-94ca-4e787e44e645
Idp ready	True
Methodology	The methodology for vulnerability assessment is a systematic process involving the definition of scope, selection of assessment type, tier methods, sector, spatial scale, and assessment period. Indicators crucial for vulnerability evaluation are identified and quantified, with normalization techniques ensuring consistency. Indicators are then weighted and aggregated, providing a comprehensive representation of vulnerability. Through this structured approach, vulnerabilities are ranked, allowing for focused adaptation planning
No indicators	14
Package id	751c6036-f456-46cc-b7b7-f937bdcd2da3
Position	0
Size	1.8 KiB
Sku	most-climate_vulnerability_assessment-dt-yr-him
State	active
States uts no	1
Url type	upload
Years covered	2019-2020
Methodology	The methodology for vulnerability assessment is a systematic process involving the definition of scope, selection of assessment type, tier methods, sector, spatial scale, and assessment period. Indicators crucial for vulnerability evaluation are identified and quantified, with normalization techniques ensuring consistency. Indicators are then weighted and aggregated, providing a comprehensive representation of vulnerability. Through this structured approach, vulnerabilities are ranked, allowing for focused adaptation planning
Similar Resources
Granularity Level	District
Data Extraction Page	https://dst.gov.in/sites/default/files/Full%20Report%20%281%29.pdf
Data Retreival Date	2022-06-12 00:00:00
Data Last Updated	2022-03-16 00:00:00
Sku	most-climate_vulnerability_assessment-dt-yr-him
Dataset Frequency	Once
Years Covered	2019-2020
No of States/UT(s)	1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	nan
Number of Indicators	14
Insights from the dataset	By assessing and ranking the most vulnerable districts and states, this information equips policymakers and decision-makers in Himachal Pradesh to strategically prioritize locations for climate risk mitigation efforts. These insights, driven by data, not only inform adaptation planning but also guide targeted investments in critical sectors such as agriculture, water resources, and healthcare. Focusing on vulnerable regions like the Himalayas and coastal areas, these findings support the development of impactful projects eligible for climate-focused funds such as the Green Climate Fund and Adaptation Fund. Additionally, they aid in meeting Nationally Determined Contributions, ensuring a more resilient response to climate change. Integrating this data into disaster management strategies enables proactive and effective risk reduction, contributing significantly to efforts aimed at enhancing climate resilience.
IDP Ready	Yes