Alterações

              
    

          
          
        
        

            
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{
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{
            
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  "SDGs": [],
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  "SDGs": [],
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "fields",
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      "key": "fields",
            
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      "value": "id, year, state_name, state_code, climate_vul_in, 
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      "value": "id, year, state_name, state_code, climate_vul_in, 
            
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geo_land_area, forest_land_area, agri_land_area, waste_land_area, 
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geo_land_area, forest_land_area, agri_land_area, waste_land_area, 
            
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irrigated_area, population, literacy, gdp_const_price, 
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irrigated_area, population, literacy, gdp_const_price, 
            
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households_below_poverty, infant_mortality, poverty_rate, 
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households_below_poverty, infant_mortality, poverty_rate, 
            
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income_from_natural_resources, out_peren_trees_to_total_agri_out, 
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income_from_natural_resources, out_peren_trees_to_total_agri_out, 
            
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mar_small_op_land_holding, yield_variability, area_under_pmfby_wbcis, 
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mar_small_op_land_holding, yield_variability, area_under_pmfby_wbcis, 
            
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rainfed_agriculture, forest_land_area_per_population, women_workforce, 
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rainfed_agriculture, forest_land_area_per_population, women_workforce, 
            
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employed_under_mgnrega, road_rail_density, 
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employed_under_mgnrega, road_rail_density, 
            
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health_workers_per_population, vector_diseases_per_population, 
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health_workers_per_population, vector_diseases_per_population, 
            
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water_diseases_per_population, id, year, state_code, state_name, 
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water_diseases_per_population, id, year, state_code, state_name, 
            
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district_code, district_name, climate_vul_in, mar_small_land, 
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district_code, district_name, climate_vul_in, mar_small_land, 
            
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area_crop_insur, area_rainfed_agri, area_forest_per_hun_population, 
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area_crop_insur, area_rainfed_agri, area_forest_per_hun_population, 
            
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women_workforce, avg_days_employement, road_density, health_centre, 
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women_workforce, avg_days_employement, road_density, health_centre, 
            
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infant_mortality, household_electricity, household_drinking_water, 
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infant_mortality, household_electricity, household_drinking_water, 
            
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yield_variability, per_capita_income, livestock, area_forest_cover, 
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yield_variability, per_capita_income, livestock, area_forest_cover, 
            
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out_total_horticulture_agriculture, unirrigated_area, 
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out_total_horticulture_agriculture, unirrigated_area, 
            
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groundwater_extracted, households_kisan_creditcard, 
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groundwater_extracted, households_kisan_creditcard, 
            
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shg_per_population, doctors_per_population, population_below_poverty, 
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shg_per_population, doctors_per_population, population_below_poverty, 
            
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income_tertiary_sector, area_forest_per_thous_population, 
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income_tertiary_sector, area_forest_per_thous_population, 
            
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horticulture_agriculture, irrigated_area, groundwater_available, 
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horticulture_agriculture, irrigated_area, groundwater_available, 
            
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population_multi_hazard, rural_banks, vector_diseases, water_diseases, 
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population_multi_hazard, rural_banks, vector_diseases, water_diseases, 
            
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agricultural_labour, agri_output_horti_output, 
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agricultural_labour, agri_output_horti_output, 
            
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irrgated_area_sown_area, road_length, household_banking_services, 
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irrgated_area_sown_area, road_length, household_banking_services, 
            
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area_insured, sown_area_horticulture, household_sanitation, 
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area_insured, sown_area_horticulture, household_sanitation, 
            
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female_literacy, net_agri_geo_area, unirrigated_sown_area, 
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female_literacy, net_agri_geo_area, unirrigated_sown_area, 
            
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household_highest_earning, household_no_land, net_irrigated_sown_area, 
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household_highest_earning, household_no_land, net_irrigated_sown_area, 
            
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drainage_density, natural_resource_management, anganwadi, 
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drainage_density, natural_resource_management, anganwadi, 
            
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agri_area_under_slope, total_crop, main_local_market, water_scarcity, 
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agri_area_under_slope, total_crop, main_local_market, water_scarcity, 
            
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soil_fertility, crop_divsi_in, road_connect, market_access, 
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soil_fertility, crop_divsi_in, road_connect, market_access, 
            
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income_divsi_agri, water_available, area_water_bodies, 
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income_divsi_agri, water_available, area_water_bodies, 
            
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fair_price_shops, toal_female_workforce, groundwater_development, 
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fair_price_shops, toal_female_workforce, groundwater_development, 
            
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crop_intensity, area_commer_crops, variability, water_fish_culture, 
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crop_intensity, area_commer_crops, variability, water_fish_culture, 
            
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forest_depend_tribal, minor_forest_produce, 
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forest_depend_tribal, minor_forest_produce, 
            
42
depend_ratio_below_poverty, establishment, health_care, 
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depend_ratio_below_poverty, establishment, health_care, 
            
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household_health_scheme"
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household_health_scheme"
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314",
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  "id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "odc-by",
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  "license_id": "odc-by",
            
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  "license_title": "Open Data Commons Attribution License",
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  "license_title": "Open Data Commons Attribution License",
            
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  "license_url": "http://www.opendefinition.org/licenses/odc-by",
51
  "license_url": "http://www.opendefinition.org/licenses/odc-by",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-10-06T06:44:18.892167",
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  "metadata_created": "2023-10-06T06:44:18.892167",
            
n
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  "metadata_modified": "2025-12-19T08:10:13.452768",
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  "metadata_modified": "2025-12-19T08:10:15.151985",
            
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  "methodology": "",
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  "methodology": "",
            
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  "name": "climate-vulnerability-indicators",
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  "name": "climate-vulnerability-indicators",
            
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  "notes": "Climate Vulnerability Indicators dataset carries out 
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  "notes": "Climate Vulnerability Indicators dataset carries out 
            
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vulnerability assessment for India based on various indicators related 
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vulnerability assessment for India based on various indicators related 
            
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to infrastructure, agriculture, employment, disease, and the 
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to infrastructure, agriculture, employment, disease, and the 
            
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environment. Climate change is a serious threat to socio-economic 
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environment. Climate change is a serious threat to socio-economic 
            
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development globally and in India. Adapting to the present and future 
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development globally and in India. Adapting to the present and future 
            
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impacts of climate change is crucial to secure hard-won gains and 
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impacts of climate change is crucial to secure hard-won gains and 
            
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increase the resilience of vulnerable communities, in particular for 
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increase the resilience of vulnerable communities, in particular for 
            
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those living in fragile mountain ecosystems.",
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those living in fragile mountain ecosystems.",
            
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  "num_resources": 2,
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  "num_resources": 2,
            
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  "num_tags": 2,
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  "num_tags": 2,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2022-12-05T03:44:54.080358",
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    "created": "2022-12-05T03:44:54.080358",
            
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    "description": "",
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    "description": "",
            
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    "id": "94317457-d297-4549-9640-7865034682c5",
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    "id": "94317457-d297-4549-9640-7865034682c5",
            
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "idp-organization",
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    "name": "idp-organization",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "IDP organization",
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    "title": "IDP organization",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "additional_info": "nan",
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      "additional_info": "nan",
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-10-06T06:44:19.343589",
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      "created": "2023-10-06T06:44:19.343589",
            
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      "data_extraction_page": "https://ndap.niti.gov.in/dataset/7160",
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      "data_extraction_page": "https://ndap.niti.gov.in/dataset/7160",
            
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      "data_insights": "The vulnerability assessment can assist in 
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      "data_insights": "The vulnerability assessment can assist in 
            
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ranking and identification of the most vulnerable states and help 
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ranking and identification of the most vulnerable states and help 
            
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states prioritise adaptation planning and investments.This data-driven 
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states prioritise adaptation planning and investments.This data-driven 
            
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approach provides a clear roadmap for states to allocate resources 
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approach provides a clear roadmap for states to allocate resources 
            
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efficiently and take proactive measures to safeguard their communities 
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efficiently and take proactive measures to safeguard their communities 
            
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and ecosystems in the face of climate change. It may also aid to plan 
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and ecosystems in the face of climate change. It may also aid to plan 
            
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disaster management.It is aimed at policymakers and decisionmakers as 
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disaster management.It is aimed at policymakers and decisionmakers as 
            
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a first step to prioritise locations for addressing climate risk at a 
98
a first step to prioritise locations for addressing climate risk at a 
            
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holistic level within a vulnerability-hazard-exposure framework",
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holistic level within a vulnerability-hazard-exposure framework",
            
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      "data_last_updated": "2022-04-04 00:00:00",
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      "data_last_updated": "2022-04-04 00:00:00",
            
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      "data_retreival_date": "2022-06-15 00:00:00",
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      "data_retreival_date": "2022-06-15 00:00:00",
            
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      "datastore_active": true,
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      "datastore_active": true,
            
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      "description": "State Level Climate Vulnerability Indicators 
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      "description": "State Level Climate Vulnerability Indicators 
            
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dataset carries out vulnerability assessment for India based on 
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dataset carries out vulnerability assessment for India based on 
            
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various indicators related to infrastructure, agriculture, employment, 
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various indicators related to infrastructure, agriculture, employment, 
            
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disease, and the environment. Climate change is a serious threat to 
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disease, and the environment. Climate change is a serious threat to 
            
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socio-economic development globally and in India. Adapting to the 
107
socio-economic development globally and in India. Adapting to the 
            
108
present and future impacts of climate change is crucial to secure 
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present and future impacts of climate change is crucial to secure 
            
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hard-won gains and increase the resilience of vulnerable communities, 
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hard-won gains and increase the resilience of vulnerable communities, 
            
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in particular for those living in fragile mountain ecosystems.",
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in particular for those living in fragile mountain ecosystems.",
            
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      "district_no": "",
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      "district_no": "",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "frequency": "Once",
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      "frequency": "Once",
            
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      "geo_columns": [
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      "geo_columns": [
            
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        "state_code"
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        "state_code"
            
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      ],
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      ],
            
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      "gp_no": "",
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      "gp_no": "",
            
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      "granularity": "State",
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      "granularity": "State",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "9c02edb9-feac-4ae0-8685-bdf5db5cbfe4",
120
      "id": "9c02edb9-feac-4ae0-8685-bdf5db5cbfe4",
            
121
      "idp_ready": true,
121
      "idp_ready": true,
            
122
      "last_modified": "2023-11-15T10:56:51.062068",
122
      "last_modified": "2023-11-15T10:56:51.062068",
            
123
      "lgd_mapping": "yes",
123
      "lgd_mapping": "yes",
            
124
      "metadata_modified": "2025-12-19T08:10:13.457617",
124
      "metadata_modified": "2025-12-19T08:10:13.457617",
            
125
      "methodology": "The methodology for vulnerability assessment is 
125
      "methodology": "The methodology for vulnerability assessment is 
            
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a systematic process involving the definition of scope, selection of 
126
a systematic process involving the definition of scope, selection of 
            
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assessment type, tier methods, sector, spatial scale, and assessment 
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assessment type, tier methods, sector, spatial scale, and assessment 
            
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period. Indicators crucial for vulnerability evaluation are identified 
128
period. Indicators crucial for vulnerability evaluation are identified 
            
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and quantified, with normalization techniques ensuring consistency. 
129
and quantified, with normalization techniques ensuring consistency. 
            
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Indicators are then weighted and aggregated, providing a comprehensive 
130
Indicators are then weighted and aggregated, providing a comprehensive 
            
131
representation of vulnerability. Through this structured approach, 
131
representation of vulnerability. Through this structured approach, 
            
132
vulnerabilities are ranked, allowing for focused adaptation planning",
132
vulnerabilities are ranked, allowing for focused adaptation planning",
            
133
      "mimetype": null,
133
      "mimetype": null,
            
134
      "mimetype_inner": null,
134
      "mimetype_inner": null,
            
135
      "name": "Climate Vulnerability Indicators State wise",
135
      "name": "Climate Vulnerability Indicators State wise",
            
136
      "no_indicators": "25",
136
      "no_indicators": "25",
            
137
      "package_id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314",
137
      "package_id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_type": null,
139
      "resource_type": null,
            
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      "similar_resources": "",
140
      "similar_resources": "",
            
141
      "size": 6609,
141
      "size": 6609,
            
142
      "sku": "most-climate_vulnerability_assessment-st-yr-aaa",
142
      "sku": "most-climate_vulnerability_assessment-st-yr-aaa",
            
143
      "state": "active",
143
      "state": "active",
            
144
      "states_uts_no": "36",
144
      "states_uts_no": "36",
            
145
      "tehsil_no": "",
145
      "tehsil_no": "",
            
146
      "url": 
146
      "url": 
            
147
df5db5cbfe4/download/climate-vulnerability-indicators-state-wise.csv",
147
df5db5cbfe4/download/climate-vulnerability-indicators-state-wise.csv",
            
148
      "url_type": "upload",
148
      "url_type": "upload",
            
149
      "years_covered": "2019"
149
      "years_covered": "2019"
            
150
    },
150
    },
            
151
    {
151
    {
            
152
      "additional_info": "",
152
      "additional_info": "",
            
153
      "cache_last_updated": null,
153
      "cache_last_updated": null,
            
154
      "cache_url": null,
154
      "cache_url": null,
            
155
      "created": "2023-10-06T10:15:46.370515",
155
      "created": "2023-10-06T10:15:46.370515",
            
156
      "data_extraction_page": "https://ndap.niti.gov.in/dataset/7160",
156
      "data_extraction_page": "https://ndap.niti.gov.in/dataset/7160",
            
157
      "data_insights": "By ranking and pinpointing the most vulnerable 
157
      "data_insights": "By ranking and pinpointing the most vulnerable 
            
158
districts and states, these insights empower policymakers and 
158
districts and states, these insights empower policymakers and 
            
159
decision-makers to strategically prioritize locations for climate risk 
159
decision-makers to strategically prioritize locations for climate risk 
            
160
mitigation. This data-driven approach not only informs adaptation 
160
mitigation. This data-driven approach not only informs adaptation 
            
161
planning but also guides targeted investments in key sectors such as 
161
planning but also guides targeted investments in key sectors such as 
            
162
agriculture, water resources, and healthcare. With a focus on 
162
agriculture, water resources, and healthcare. With a focus on 
            
163
vulnerable regions like the Himalayas and coastal areas, these 
163
vulnerable regions like the Himalayas and coastal areas, these 
            
164
insights enable the development of high-impact projects for 
164
insights enable the development of high-impact projects for 
            
165
climate-focused funds such as the Green Climate Fund and Adaptation 
165
climate-focused funds such as the Green Climate Fund and Adaptation 
            
166
Fund. Moreover, these findings facilitate the fulfillment of 
166
Fund. Moreover, these findings facilitate the fulfillment of 
            
167
Nationally Determined Contributions, ensuring a more resilient 
167
Nationally Determined Contributions, ensuring a more resilient 
            
168
response to climate change. By integrating this data into disaster 
168
response to climate change. By integrating this data into disaster 
            
169
management strategies, these insights pave the way for proactive and 
169
management strategies, these insights pave the way for proactive and 
            
170
effective risk reduction, making a substantial difference in climate 
170
effective risk reduction, making a substantial difference in climate 
            
171
resilience efforts.",
171
resilience efforts.",
            
172
      "data_last_updated": "2022-03-16 00:00:00",
172
      "data_last_updated": "2022-03-16 00:00:00",
            
173
      "data_retreival_date": "2022-06-12 00:00:00",
173
      "data_retreival_date": "2022-06-12 00:00:00",
            
174
      "datastore_active": true,
174
      "datastore_active": true,
            
175
      "description": "District Level Climate Vulnerability Indicators 
175
      "description": "District Level Climate Vulnerability Indicators 
            
176
dataset carries out vulnerability assessment for India based on 
176
dataset carries out vulnerability assessment for India based on 
            
177
various indicators related to infrastructure, agriculture, employment, 
177
various indicators related to infrastructure, agriculture, employment, 
            
178
disease, and the environment.\u00a0Climate change is a serious threat 
178
disease, and the environment.\u00a0Climate change is a serious threat 
            
179
to socio-economic development globally and in India. Adapting to the 
179
to socio-economic development globally and in India. Adapting to the 
            
180
present and future impacts of climate change is crucial to secure 
180
present and future impacts of climate change is crucial to secure 
            
181
hard-won gains and increase the resilience of vulnerable communities, 
181
hard-won gains and increase the resilience of vulnerable communities, 
            
182
in particular for those living in fragile mountain ecosystems.",
182
in particular for those living in fragile mountain ecosystems.",
            
183
      "district_no": "",
183
      "district_no": "",
            
184
      "format": "CSV",
184
      "format": "CSV",
            
185
      "frequency": "Once",
185
      "frequency": "Once",
            
n
n
186
      "geo_columns": [
            
187
        "state_code",
            
188
        "district_code"
            
189
      ],
            
186
      "gp_no": "",
190
      "gp_no": "",
            
187
      "granularity": "District",
191
      "granularity": "District",
            
188
      "hash": "",
192
      "hash": "",
            
189
      "id": "98947c1d-e9ff-4e5a-9407-6c77c6ef851e",
193
      "id": "98947c1d-e9ff-4e5a-9407-6c77c6ef851e",
            
190
      "idp_ready": true,
194
      "idp_ready": true,
            
191
      "last_modified": "2023-10-06T10:15:46.333711",
195
      "last_modified": "2023-10-06T10:15:46.333711",
            
192
      "lgd_mapping": "yes",
196
      "lgd_mapping": "yes",
            
t
193
      "metadata_modified": "2024-08-22T10:11:44.440922",
t
197
      "metadata_modified": "2025-12-19T08:10:15.156531",
            
194
      "methodology": "The methodology for vulnerability assessment is 
198
      "methodology": "The methodology for vulnerability assessment is 
            
195
a systematic process involving the definition of scope, selection of 
199
a systematic process involving the definition of scope, selection of 
            
196
assessment type, tier methods, sector, spatial scale, and assessment 
200
assessment type, tier methods, sector, spatial scale, and assessment 
            
197
period. Indicators crucial for vulnerability evaluation are identified 
201
period. Indicators crucial for vulnerability evaluation are identified 
            
198
and quantified, with normalization techniques ensuring consistency. 
202
and quantified, with normalization techniques ensuring consistency. 
            
199
Indicators are then weighted and aggregated, providing a comprehensive 
203
Indicators are then weighted and aggregated, providing a comprehensive 
            
200
representation of vulnerability. Through this structured approach, 
204
representation of vulnerability. Through this structured approach, 
            
201
vulnerabilities are ranked, allowing for focused adaptation planning",
205
vulnerabilities are ranked, allowing for focused adaptation planning",
            
202
      "mimetype": "",
206
      "mimetype": "",
            
203
      "mimetype_inner": null,
207
      "mimetype_inner": null,
            
204
      "name": "Climate Vulnerability Indicators District Wise",
208
      "name": "Climate Vulnerability Indicators District Wise",
            
205
      "no_indicators": "73",
209
      "no_indicators": "73",
            
206
      "package_id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314",
210
      "package_id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314",
            
207
      "position": 1,
211
      "position": 1,
            
208
      "resource_type": null,
212
      "resource_type": null,
            
209
      "similar_datasets": "",
213
      "similar_datasets": "",
            
210
      "size": 211933,
214
      "size": 211933,
            
211
      "sku": "most-climate_vulnerability_assessment-dt-yr-aaa",
215
      "sku": "most-climate_vulnerability_assessment-dt-yr-aaa",
            
212
      "state": "active",
216
      "state": "active",
            
213
      "states_uts_no": "28",
217
      "states_uts_no": "28",
            
214
      "tags": "",
218
      "tags": "",
            
215
      "tehsil_no": "",
219
      "tehsil_no": "",
            
216
      "url": 
220
      "url": 
            
217
c6ef851e/download/climate-vulnerability-indicators-district-wise.csv",
221
c6ef851e/download/climate-vulnerability-indicators-district-wise.csv",
            
218
      "url_type": "upload",
222
      "url_type": "upload",
            
219
      "village_no": "",
223
      "village_no": "",
            
220
      "years_covered": "2021.0"
224
      "years_covered": "2021.0"
            
221
    }
225
    }
            
222
  ],
226
  ],
            
223
  "sector": [
227
  "sector": [
            
224
    "Climate and Weather",
228
    "Climate and Weather",
            
225
    "Science and Technology"
229
    "Science and Technology"
            
226
  ],
230
  ],
            
227
  "source_name": "Department of Science and Technology",
231
  "source_name": "Department of Science and Technology",
            
228
  "state": "active",
232
  "state": "active",
            
229
  "title": "Climate Vulnerability Indicators",
233
  "title": "Climate Vulnerability Indicators",
            
230
  "type": "dataset",
234
  "type": "dataset",
            
231
  "url": 
235
  "url": 
            
232
"https://dst.gov.in/sites/default/files/Full%20Report%20%281%29.pdf",
236
"https://dst.gov.in/sites/default/files/Full%20Report%20%281%29.pdf",
            
233
  "version": null
237
  "version": null
            
234
}
238
}