Changes
On December 19, 2025, 8:10:15 AM UTC,
IDP Admin:
-
Added field
geo_columns
with value['state_code', 'district_code']
to resource Climate Vulnerability Indicators District Wise in Climate Vulnerability Indicators
| f | 1 | { | f | 1 | { |
| 2 | "SDGs": [], | 2 | "SDGs": [], | ||
| 3 | "author": null, | 3 | "author": null, | ||
| 4 | "author_email": null, | 4 | "author_email": null, | ||
| 5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | 5 | "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442", | ||
| 6 | "extras": [ | 6 | "extras": [ | ||
| 7 | { | 7 | { | ||
| 8 | "key": "fields", | 8 | "key": "fields", | ||
| 9 | "value": "id, year, state_name, state_code, climate_vul_in, | 9 | "value": "id, year, state_name, state_code, climate_vul_in, | ||
| 10 | geo_land_area, forest_land_area, agri_land_area, waste_land_area, | 10 | geo_land_area, forest_land_area, agri_land_area, waste_land_area, | ||
| 11 | irrigated_area, population, literacy, gdp_const_price, | 11 | irrigated_area, population, literacy, gdp_const_price, | ||
| 12 | households_below_poverty, infant_mortality, poverty_rate, | 12 | households_below_poverty, infant_mortality, poverty_rate, | ||
| 13 | income_from_natural_resources, out_peren_trees_to_total_agri_out, | 13 | income_from_natural_resources, out_peren_trees_to_total_agri_out, | ||
| 14 | mar_small_op_land_holding, yield_variability, area_under_pmfby_wbcis, | 14 | mar_small_op_land_holding, yield_variability, area_under_pmfby_wbcis, | ||
| 15 | rainfed_agriculture, forest_land_area_per_population, women_workforce, | 15 | rainfed_agriculture, forest_land_area_per_population, women_workforce, | ||
| 16 | employed_under_mgnrega, road_rail_density, | 16 | employed_under_mgnrega, road_rail_density, | ||
| 17 | health_workers_per_population, vector_diseases_per_population, | 17 | health_workers_per_population, vector_diseases_per_population, | ||
| 18 | water_diseases_per_population, id, year, state_code, state_name, | 18 | water_diseases_per_population, id, year, state_code, state_name, | ||
| 19 | district_code, district_name, climate_vul_in, mar_small_land, | 19 | district_code, district_name, climate_vul_in, mar_small_land, | ||
| 20 | area_crop_insur, area_rainfed_agri, area_forest_per_hun_population, | 20 | area_crop_insur, area_rainfed_agri, area_forest_per_hun_population, | ||
| 21 | women_workforce, avg_days_employement, road_density, health_centre, | 21 | women_workforce, avg_days_employement, road_density, health_centre, | ||
| 22 | infant_mortality, household_electricity, household_drinking_water, | 22 | infant_mortality, household_electricity, household_drinking_water, | ||
| 23 | yield_variability, per_capita_income, livestock, area_forest_cover, | 23 | yield_variability, per_capita_income, livestock, area_forest_cover, | ||
| 24 | out_total_horticulture_agriculture, unirrigated_area, | 24 | out_total_horticulture_agriculture, unirrigated_area, | ||
| 25 | groundwater_extracted, households_kisan_creditcard, | 25 | groundwater_extracted, households_kisan_creditcard, | ||
| 26 | shg_per_population, doctors_per_population, population_below_poverty, | 26 | shg_per_population, doctors_per_population, population_below_poverty, | ||
| 27 | income_tertiary_sector, area_forest_per_thous_population, | 27 | income_tertiary_sector, area_forest_per_thous_population, | ||
| 28 | horticulture_agriculture, irrigated_area, groundwater_available, | 28 | horticulture_agriculture, irrigated_area, groundwater_available, | ||
| 29 | population_multi_hazard, rural_banks, vector_diseases, water_diseases, | 29 | population_multi_hazard, rural_banks, vector_diseases, water_diseases, | ||
| 30 | agricultural_labour, agri_output_horti_output, | 30 | agricultural_labour, agri_output_horti_output, | ||
| 31 | irrgated_area_sown_area, road_length, household_banking_services, | 31 | irrgated_area_sown_area, road_length, household_banking_services, | ||
| 32 | area_insured, sown_area_horticulture, household_sanitation, | 32 | area_insured, sown_area_horticulture, household_sanitation, | ||
| 33 | female_literacy, net_agri_geo_area, unirrigated_sown_area, | 33 | female_literacy, net_agri_geo_area, unirrigated_sown_area, | ||
| 34 | household_highest_earning, household_no_land, net_irrigated_sown_area, | 34 | household_highest_earning, household_no_land, net_irrigated_sown_area, | ||
| 35 | drainage_density, natural_resource_management, anganwadi, | 35 | drainage_density, natural_resource_management, anganwadi, | ||
| 36 | agri_area_under_slope, total_crop, main_local_market, water_scarcity, | 36 | agri_area_under_slope, total_crop, main_local_market, water_scarcity, | ||
| 37 | soil_fertility, crop_divsi_in, road_connect, market_access, | 37 | soil_fertility, crop_divsi_in, road_connect, market_access, | ||
| 38 | income_divsi_agri, water_available, area_water_bodies, | 38 | income_divsi_agri, water_available, area_water_bodies, | ||
| 39 | fair_price_shops, toal_female_workforce, groundwater_development, | 39 | fair_price_shops, toal_female_workforce, groundwater_development, | ||
| 40 | crop_intensity, area_commer_crops, variability, water_fish_culture, | 40 | crop_intensity, area_commer_crops, variability, water_fish_culture, | ||
| 41 | forest_depend_tribal, minor_forest_produce, | 41 | forest_depend_tribal, minor_forest_produce, | ||
| 42 | depend_ratio_below_poverty, establishment, health_care, | 42 | depend_ratio_below_poverty, establishment, health_care, | ||
| 43 | household_health_scheme" | 43 | household_health_scheme" | ||
| 44 | } | 44 | } | ||
| 45 | ], | 45 | ], | ||
| 46 | "groups": [], | 46 | "groups": [], | ||
| 47 | "id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314", | 47 | "id": "e4ccd3aa-beb8-436c-9ceb-db3998a10314", | ||
| 48 | "isopen": true, | 48 | "isopen": true, | ||
| 49 | "license_id": "odc-by", | 49 | "license_id": "odc-by", | ||
| 50 | "license_title": "Open Data Commons Attribution License", | 50 | "license_title": "Open Data Commons Attribution License", | ||
| 51 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | 51 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | ||
| 52 | "maintainer": null, | 52 | "maintainer": null, | ||
| 53 | "maintainer_email": null, | 53 | "maintainer_email": null, | ||
| 54 | "metadata_created": "2023-10-06T06:44:18.892167", | 54 | "metadata_created": "2023-10-06T06:44:18.892167", | ||
| n | 55 | "metadata_modified": "2025-12-19T08:10:13.452768", | n | 55 | "metadata_modified": "2025-12-19T08:10:15.151985", |
| 56 | "methodology": "", | 56 | "methodology": "", | ||
| 57 | "name": "climate-vulnerability-indicators", | 57 | "name": "climate-vulnerability-indicators", | ||
| 58 | "notes": "Climate Vulnerability Indicators dataset carries out | 58 | "notes": "Climate Vulnerability Indicators dataset carries out | ||
| 59 | vulnerability assessment for India based on various indicators related | 59 | vulnerability assessment for India based on various indicators related | ||
| 60 | to infrastructure, agriculture, employment, disease, and the | 60 | to infrastructure, agriculture, employment, disease, and the | ||
| 61 | environment. Climate change is a serious threat to socio-economic | 61 | environment. Climate change is a serious threat to socio-economic | ||
| 62 | development globally and in India. Adapting to the present and future | 62 | development globally and in India. Adapting to the present and future | ||
| 63 | impacts of climate change is crucial to secure hard-won gains and | 63 | impacts of climate change is crucial to secure hard-won gains and | ||
| 64 | increase the resilience of vulnerable communities, in particular for | 64 | increase the resilience of vulnerable communities, in particular for | ||
| 65 | those living in fragile mountain ecosystems.", | 65 | those living in fragile mountain ecosystems.", | ||
| 66 | "num_resources": 2, | 66 | "num_resources": 2, | ||
| 67 | "num_tags": 2, | 67 | "num_tags": 2, | ||
| 68 | "organization": { | 68 | "organization": { | ||
| 69 | "approval_status": "approved", | 69 | "approval_status": "approved", | ||
| 70 | "created": "2022-12-05T03:44:54.080358", | 70 | "created": "2022-12-05T03:44:54.080358", | ||
| 71 | "description": "", | 71 | "description": "", | ||
| 72 | "id": "94317457-d297-4549-9640-7865034682c5", | 72 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 73 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 73 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 74 | "is_organization": true, | 74 | "is_organization": true, | ||
| 75 | "name": "idp-organization", | 75 | "name": "idp-organization", | ||
| 76 | "state": "active", | 76 | "state": "active", | ||
| 77 | "title": "IDP organization", | 77 | "title": "IDP organization", | ||
| 78 | "type": "organization" | 78 | "type": "organization" | ||
| 79 | }, | 79 | }, | ||
| 80 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 80 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 81 | "private": false, | 81 | "private": false, | ||
| 82 | "relationships_as_object": [], | 82 | "relationships_as_object": [], | ||
| 83 | "relationships_as_subject": [], | 83 | "relationships_as_subject": [], | ||
| 84 | "resources": [ | 84 | "resources": [ | ||
| 85 | { | 85 | { | ||
| 86 | "additional_info": "nan", | 86 | "additional_info": "nan", | ||
| 87 | "cache_last_updated": null, | 87 | "cache_last_updated": null, | ||
| 88 | "cache_url": null, | 88 | "cache_url": null, | ||
| 89 | "created": "2023-10-06T06:44:19.343589", | 89 | "created": "2023-10-06T06:44:19.343589", | ||
| 90 | "data_extraction_page": "https://ndap.niti.gov.in/dataset/7160", | 90 | "data_extraction_page": "https://ndap.niti.gov.in/dataset/7160", | ||
| 91 | "data_insights": "The vulnerability assessment can assist in | 91 | "data_insights": "The vulnerability assessment can assist in | ||
| 92 | ranking and identification of the most vulnerable states and help | 92 | ranking and identification of the most vulnerable states and help | ||
| 93 | states prioritise adaptation planning and investments.This data-driven | 93 | states prioritise adaptation planning and investments.This data-driven | ||
| 94 | approach provides a clear roadmap for states to allocate resources | 94 | approach provides a clear roadmap for states to allocate resources | ||
| 95 | efficiently and take proactive measures to safeguard their communities | 95 | efficiently and take proactive measures to safeguard their communities | ||
| 96 | and ecosystems in the face of climate change. It may also aid to plan | 96 | and ecosystems in the face of climate change. It may also aid to plan | ||
| 97 | disaster management.It is aimed at policymakers and decisionmakers as | 97 | disaster management.It is aimed at policymakers and decisionmakers as | ||
| 98 | 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 | ||
| 99 | holistic level within a vulnerability-hazard-exposure framework", | 99 | holistic level within a vulnerability-hazard-exposure framework", | ||
| 100 | "data_last_updated": "2022-04-04 00:00:00", | 100 | "data_last_updated": "2022-04-04 00:00:00", | ||
| 101 | "data_retreival_date": "2022-06-15 00:00:00", | 101 | "data_retreival_date": "2022-06-15 00:00:00", | ||
| 102 | "datastore_active": true, | 102 | "datastore_active": true, | ||
| 103 | "description": "State Level Climate Vulnerability Indicators | 103 | "description": "State Level Climate Vulnerability Indicators | ||
| 104 | dataset carries out vulnerability assessment for India based on | 104 | dataset carries out vulnerability assessment for India based on | ||
| 105 | various indicators related to infrastructure, agriculture, employment, | 105 | various indicators related to infrastructure, agriculture, employment, | ||
| 106 | disease, and the environment. Climate change is a serious threat to | 106 | disease, and the environment. Climate change is a serious threat to | ||
| 107 | 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 | 108 | present and future impacts of climate change is crucial to secure | ||
| 109 | hard-won gains and increase the resilience of vulnerable communities, | 109 | hard-won gains and increase the resilience of vulnerable communities, | ||
| 110 | in particular for those living in fragile mountain ecosystems.", | 110 | in particular for those living in fragile mountain ecosystems.", | ||
| 111 | "district_no": "", | 111 | "district_no": "", | ||
| 112 | "format": "CSV", | 112 | "format": "CSV", | ||
| 113 | "frequency": "Once", | 113 | "frequency": "Once", | ||
| 114 | "geo_columns": [ | 114 | "geo_columns": [ | ||
| 115 | "state_code" | 115 | "state_code" | ||
| 116 | ], | 116 | ], | ||
| 117 | "gp_no": "", | 117 | "gp_no": "", | ||
| 118 | "granularity": "State", | 118 | "granularity": "State", | ||
| 119 | "hash": "", | 119 | "hash": "", | ||
| 120 | "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 | ||
| 126 | a systematic process involving the definition of scope, selection of | 126 | a systematic process involving the definition of scope, selection of | ||
| 127 | assessment type, tier methods, sector, spatial scale, and assessment | 127 | assessment type, tier methods, sector, spatial scale, and assessment | ||
| 128 | period. Indicators crucial for vulnerability evaluation are identified | 128 | period. Indicators crucial for vulnerability evaluation are identified | ||
| 129 | and quantified, with normalization techniques ensuring consistency. | 129 | and quantified, with normalization techniques ensuring consistency. | ||
| 130 | 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", | ||
| 138 | "position": 0, | 138 | "position": 0, | ||
| 139 | "resource_type": null, | 139 | "resource_type": null, | ||
| 140 | "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 | } |