Changes
On December 19, 2025, 8:08:28 AM UTC,
-
Added field
geo_columns
with value['state_code', 'district_code', 'block_code', 'gp_code']
to resource Panchayat Level Infrastructure in Mission Antyodaya
| 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": "date, state_name, state_code, district_name, | 9 | "value": "date, state_name, state_code, district_name, | ||
| 10 | district_code, block_name, block_code, villages_surveyed, tot_pop, | 10 | district_code, block_name, block_code, villages_surveyed, tot_pop, | ||
| 11 | pop_male, pop_female, tot_hh, bank, bank_dist_l1km, bank_dist_2km, | 11 | pop_male, pop_female, tot_hh, bank, bank_dist_l1km, bank_dist_2km, | ||
| 12 | bank_dist_5km, bank_dist_10km, bank_dist_g10_km, bc_w_internet, atm, | 12 | bank_dist_5km, bank_dist_10km, bank_dist_g10_km, bc_w_internet, atm, | ||
| 13 | internet_bb, all_weather_road, cc_road_full, cc_road_partial, | 13 | internet_bb, all_weather_road, cc_road_full, cc_road_partial, | ||
| 14 | cc_road_not, pub_trans_bus, pub_trans_van, pub_trans_auto, | 14 | cc_road_not, pub_trans_bus, pub_trans_van, pub_trans_auto, | ||
| 15 | pub_trans_no, railway, csc_panchayat, csc_seperate, csc_not, | 15 | pub_trans_no, railway, csc_panchayat, csc_seperate, csc_not, | ||
| 16 | elec_domes_1hrs, elec_domes_4hrs, elec_domes_8hrs, elec_domes_12hrs, | 16 | elec_domes_1hrs, elec_domes_4hrs, elec_domes_8hrs, elec_domes_12hrs, | ||
| 17 | elec_domes_no, elec_msme, pds, mandi, reg_mkt, weekly_haat, mkt_na, | 17 | elec_domes_no, elec_msme, pds, mandi, reg_mkt, weekly_haat, mkt_na, | ||
| 18 | tap_100, tap_50, tap_l50, tap_one_hab, tap_na, tel_ll, tel_mob, | 18 | tap_100, tap_50, tap_l50, tap_one_hab, tap_na, tel_ll, tel_mob, | ||
| 19 | tel_both, tel_na, clean_energy_hhs, solar_wind_elect, kuccha_hhs, | 19 | tel_both, tel_na, clean_energy_hhs, solar_wind_elect, kuccha_hhs, | ||
| 20 | po_sub_po, panch_bhawan, pib_na, pib_av_upd, pib_av_not_upd, | 20 | po_sub_po, panch_bhawan, pib_na, pib_av_upd, pib_av_not_upd, | ||
| 21 | prim_school, middle_school, high_school, high_second_school, | 21 | prim_school, middle_school, high_school, high_second_school, | ||
| 22 | degree_clg, school_college_na, public_library, indoor_sports, | 22 | degree_clg, school_college_na, public_library, indoor_sports, | ||
| 23 | outdoor_sports, both_sports, no_sports, vocational, chc, phc, | 23 | outdoor_sports, both_sports, no_sports, vocational, chc, phc, | ||
| 24 | subcentre, no_health, subcentre_l1km, subcentre_2km, subcentre_5km, | 24 | subcentre, no_health, subcentre_l1km, subcentre_2km, subcentre_5km, | ||
| 25 | subcentre_10km, subcentre_g10km, veterinary, veterinary_l1km, | 25 | subcentre_10km, subcentre_g10km, veterinary, veterinary_l1km, | ||
| 26 | veterinary_2km, veterinary_5km, veterinary_10km, veterinary_g10km, | 26 | veterinary_2km, veterinary_5km, veterinary_10km, veterinary_g10km, | ||
| 27 | closed_drain, pucca_slab_drain, pucca_uncovered_drain, kuchha_drain, | 27 | closed_drain, pucca_slab_drain, pucca_uncovered_drain, kuchha_drain, | ||
| 28 | no_drain, pcomm_pasture, id, id, year, state_name, state_code, | 28 | no_drain, pcomm_pasture, id, id, year, state_name, state_code, | ||
| 29 | district_name, district_code, villages_surveyed, tot_pop, pop_male, | 29 | district_name, district_code, villages_surveyed, tot_pop, pop_male, | ||
| 30 | pop_female, tot_hh, bank, bank_dist_l1km, bank_dist_2km, | 30 | pop_female, tot_hh, bank, bank_dist_l1km, bank_dist_2km, | ||
| 31 | bank_dist_5km, bank_dist_10km, bank_dist_g10_km, bc_w_internet, atm, | 31 | bank_dist_5km, bank_dist_10km, bank_dist_g10_km, bc_w_internet, atm, | ||
| 32 | internet_bb, all_weather_road, cc_road_full, cc_road_partial, | 32 | internet_bb, all_weather_road, cc_road_full, cc_road_partial, | ||
| 33 | cc_road_not, pub_trans_bus, pub_trans_van, pub_trans_auto, | 33 | cc_road_not, pub_trans_bus, pub_trans_van, pub_trans_auto, | ||
| 34 | pub_trans_no, railway, csc_panchayat, csc_seperate, csc_not, | 34 | pub_trans_no, railway, csc_panchayat, csc_seperate, csc_not, | ||
| 35 | elec_domes_1hrs, elec_domes_4hrs, elec_domes_8hrs, elec_domes_12hrs, | 35 | elec_domes_1hrs, elec_domes_4hrs, elec_domes_8hrs, elec_domes_12hrs, | ||
| 36 | elec_domes_no, elec_msme, pds, mandi, reg_mkt, weekly_haat, mkt_na, | 36 | elec_domes_no, elec_msme, pds, mandi, reg_mkt, weekly_haat, mkt_na, | ||
| 37 | tap_100, tap_50, tap_l50, tap_one_hab, tap_na, tel_ll, tel_mob, | 37 | tap_100, tap_50, tap_l50, tap_one_hab, tap_na, tel_ll, tel_mob, | ||
| 38 | tel_both, tel_na, clean_energy_hhs, solar_wind_elect, kuccha_hhs, | 38 | tel_both, tel_na, clean_energy_hhs, solar_wind_elect, kuccha_hhs, | ||
| 39 | po_sub_po, panch_bhawan, pib_na, pib_av_upd, pib_av_not_upd, | 39 | po_sub_po, panch_bhawan, pib_na, pib_av_upd, pib_av_not_upd, | ||
| 40 | prim_school, middle_school, high_school, high_second_school, | 40 | prim_school, middle_school, high_school, high_second_school, | ||
| 41 | degree_clg, school_college_na, public_library, indoor_sports, | 41 | degree_clg, school_college_na, public_library, indoor_sports, | ||
| 42 | outdoor_sports, both_sports, no_sports, vocational, chc, phc, | 42 | outdoor_sports, both_sports, no_sports, vocational, chc, phc, | ||
| 43 | subcentre, no_health, subcentre_l1km, subcentre_2km, subcentre_5km, | 43 | subcentre, no_health, subcentre_l1km, subcentre_2km, subcentre_5km, | ||
| 44 | subcentre_10km, subcentre_g10km, veterinary, veterinary_l1km, | 44 | subcentre_10km, subcentre_g10km, veterinary, veterinary_l1km, | ||
| 45 | veterinary_2km, veterinary_5km, veterinary_10km, veterinary_g10km, | 45 | veterinary_2km, veterinary_5km, veterinary_10km, veterinary_g10km, | ||
| 46 | closed_drain, pucca_slab_drain, pucca_uncovered_drain, kuchha_drain, | 46 | closed_drain, pucca_slab_drain, pucca_uncovered_drain, kuchha_drain, | ||
| 47 | no_drain, pcomm_pasture, id, year, state_name, state_code, | 47 | no_drain, pcomm_pasture, id, year, state_name, state_code, | ||
| 48 | district_name, district_code, block_name, block_code, gp_name, | 48 | district_name, district_code, block_name, block_code, gp_name, | ||
| 49 | gp_code, villages_surveyed, tot_pop, pop_male, pop_female, tot_hh, | 49 | gp_code, villages_surveyed, tot_pop, pop_male, pop_female, tot_hh, | ||
| 50 | bank, bank_dist_l1km, bank_dist_2km, bank_dist_5km, bank_dist_10km, | 50 | bank, bank_dist_l1km, bank_dist_2km, bank_dist_5km, bank_dist_10km, | ||
| 51 | bank_dist_g10_km, bc_w_internet, atm, internet_bb, all_weather_road, | 51 | bank_dist_g10_km, bc_w_internet, atm, internet_bb, all_weather_road, | ||
| 52 | cc_road_full, cc_road_partial, cc_road_not, pub_trans_bus, | 52 | cc_road_full, cc_road_partial, cc_road_not, pub_trans_bus, | ||
| 53 | pub_trans_van, pub_trans_auto, pub_trans_no, railway, csc_panchayat, | 53 | pub_trans_van, pub_trans_auto, pub_trans_no, railway, csc_panchayat, | ||
| 54 | csc_seperate, csc_not, elec_domes_1hrs, elec_domes_4hrs, | 54 | csc_seperate, csc_not, elec_domes_1hrs, elec_domes_4hrs, | ||
| 55 | elec_domes_8hrs, elec_domes_12hrs, elec_domes_no, elec_msme, pds, | 55 | elec_domes_8hrs, elec_domes_12hrs, elec_domes_no, elec_msme, pds, | ||
| 56 | mandi, reg_mkt, weekly_haat, mkt_na, tap_100, tap_50, tap_l50, | 56 | mandi, reg_mkt, weekly_haat, mkt_na, tap_100, tap_50, tap_l50, | ||
| 57 | tap_one_hab, tap_na, tel_ll, tel_mob, tel_both, tel_na, | 57 | tap_one_hab, tap_na, tel_ll, tel_mob, tel_both, tel_na, | ||
| 58 | clean_energy_hhs, solar_wind_elect, kuccha_hhs, po_sub_po, | 58 | clean_energy_hhs, solar_wind_elect, kuccha_hhs, po_sub_po, | ||
| 59 | panch_bhawan, pib_na, pib_av_upd, pib_av_not_upd, prim_school, | 59 | panch_bhawan, pib_na, pib_av_upd, pib_av_not_upd, prim_school, | ||
| 60 | middle_school, high_school, high_second_school, degree_clg, | 60 | middle_school, high_school, high_second_school, degree_clg, | ||
| 61 | school_college_na, public_library, indoor_sports, outdoor_sports, | 61 | school_college_na, public_library, indoor_sports, outdoor_sports, | ||
| 62 | both_sports, no_sports, vocational, chc, phc, subcentre, no_health, | 62 | both_sports, no_sports, vocational, chc, phc, subcentre, no_health, | ||
| 63 | subcentre_l1km, subcentre_2km, subcentre_5km, subcentre_10km, | 63 | subcentre_l1km, subcentre_2km, subcentre_5km, subcentre_10km, | ||
| 64 | subcentre_g10km, veterinary, veterinary_l1km, veterinary_2km, | 64 | subcentre_g10km, veterinary, veterinary_l1km, veterinary_2km, | ||
| 65 | veterinary_5km, veterinary_10km, veterinary_g10km, closed_drain, | 65 | veterinary_5km, veterinary_10km, veterinary_g10km, closed_drain, | ||
| 66 | pucca_slab_drain, pucca_uncovered_drain, kuchha_drain, no_drain, | 66 | pucca_slab_drain, pucca_uncovered_drain, kuchha_drain, no_drain, | ||
| 67 | pcomm_pasture, id, year, state_name, state_code, villages_surveyed, | 67 | pcomm_pasture, id, year, state_name, state_code, villages_surveyed, | ||
| 68 | tot_pop, pop_male, pop_female, tot_hh, bank, bank_dist_l1km, | 68 | tot_pop, pop_male, pop_female, tot_hh, bank, bank_dist_l1km, | ||
| 69 | bank_dist_2km, bank_dist_5km, bank_dist_10km, bank_dist_g10_km, | 69 | bank_dist_2km, bank_dist_5km, bank_dist_10km, bank_dist_g10_km, | ||
| 70 | bc_w_internet, atm, internet_bb, all_weather_road, cc_road_full, | 70 | bc_w_internet, atm, internet_bb, all_weather_road, cc_road_full, | ||
| 71 | cc_road_partial, cc_road_not, pub_trans_bus, pub_trans_van, | 71 | cc_road_partial, cc_road_not, pub_trans_bus, pub_trans_van, | ||
| 72 | pub_trans_auto, pub_trans_no, railway, csc_panchayat, csc_seperate, | 72 | pub_trans_auto, pub_trans_no, railway, csc_panchayat, csc_seperate, | ||
| 73 | csc_not, elec_domes_1hrs, elec_domes_4hrs, elec_domes_8hrs, | 73 | csc_not, elec_domes_1hrs, elec_domes_4hrs, elec_domes_8hrs, | ||
| 74 | elec_domes_12hrs, elec_domes_no, elec_msme, pds, mandi, reg_mkt, | 74 | elec_domes_12hrs, elec_domes_no, elec_msme, pds, mandi, reg_mkt, | ||
| 75 | weekly_haat, mkt_na, tap_100, tap_50, tap_l50, tap_one_hab, tap_na, | 75 | weekly_haat, mkt_na, tap_100, tap_50, tap_l50, tap_one_hab, tap_na, | ||
| 76 | tel_ll, tel_mob, tel_both, tel_na, clean_energy_hhs, solar_wind_elect, | 76 | tel_ll, tel_mob, tel_both, tel_na, clean_energy_hhs, solar_wind_elect, | ||
| 77 | kuccha_hhs, po_sub_po, panch_bhawan, pib_na, pib_av_upd, | 77 | kuccha_hhs, po_sub_po, panch_bhawan, pib_na, pib_av_upd, | ||
| 78 | pib_av_not_upd, prim_school, middle_school, high_school, | 78 | pib_av_not_upd, prim_school, middle_school, high_school, | ||
| 79 | high_second_school, degree_clg, school_college_na, public_library, | 79 | high_second_school, degree_clg, school_college_na, public_library, | ||
| 80 | indoor_sports, outdoor_sports, both_sports, no_sports, vocational, | 80 | indoor_sports, outdoor_sports, both_sports, no_sports, vocational, | ||
| 81 | chc, phc, subcentre, no_health, subcentre_l1km, subcentre_2km, | 81 | chc, phc, subcentre, no_health, subcentre_l1km, subcentre_2km, | ||
| 82 | subcentre_5km, subcentre_10km, subcentre_g10km, veterinary, | 82 | subcentre_5km, subcentre_10km, subcentre_g10km, veterinary, | ||
| 83 | veterinary_l1km, veterinary_2km, veterinary_5km, veterinary_10km, | 83 | veterinary_l1km, veterinary_2km, veterinary_5km, veterinary_10km, | ||
| 84 | veterinary_g10km, closed_drain, pucca_slab_drain, | 84 | veterinary_g10km, closed_drain, pucca_slab_drain, | ||
| 85 | pucca_uncovered_drain, kuchha_drain, no_drain, pcomm_pasture, id, | 85 | pucca_uncovered_drain, kuchha_drain, no_drain, pcomm_pasture, id, | ||
| 86 | year, state_code, state_name, district_code, district_name, | 86 | year, state_code, state_name, district_code, district_name, | ||
| 87 | block_code, block_name, gp_code, gp_name, village_code, village_name, | 87 | block_code, block_name, gp_code, gp_name, village_code, village_name, | ||
| 88 | tot_pop, pop_male, pop_female, tot_hh, bank, bank_distance, | 88 | tot_pop, pop_male, pop_female, tot_hh, bank, bank_distance, | ||
| 89 | bc_w_internet, atm, internet_bb, all_weather_road, cc_road, pub_trans, | 89 | bc_w_internet, atm, internet_bb, all_weather_road, cc_road, pub_trans, | ||
| 90 | railway, csc_avail, elec_domes, elec_msme, pds, avl_market, tap_water, | 90 | railway, csc_avail, elec_domes, elec_msme, pds, avl_market, tap_water, | ||
| 91 | telepone, clean_energy_hhs, solar_wind_elect, kuccha_hhs, po_sub_po, | 91 | telepone, clean_energy_hhs, solar_wind_elect, kuccha_hhs, po_sub_po, | ||
| 92 | panch_bhawan, pib, prim_school, middle_school, high_school, | 92 | panch_bhawan, pib, prim_school, middle_school, high_school, | ||
| 93 | high_second_school, degree_clg, public_library, rec_sports, | 93 | high_second_school, degree_clg, public_library, rec_sports, | ||
| 94 | vocational, subcentre, subcentre_dist, veterinary, veterinary_dist, | 94 | vocational, subcentre, subcentre_dist, veterinary, veterinary_dist, | ||
| 95 | drainage, pcomm_pasture" | 95 | drainage, pcomm_pasture" | ||
| 96 | } | 96 | } | ||
| 97 | ], | 97 | ], | ||
| 98 | "groups": [], | 98 | "groups": [], | ||
| 99 | "id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 99 | "id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 100 | "isopen": true, | 100 | "isopen": true, | ||
| 101 | "license_id": "odc-by", | 101 | "license_id": "odc-by", | ||
| 102 | "license_title": "Open Data Commons Attribution License", | 102 | "license_title": "Open Data Commons Attribution License", | ||
| 103 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | 103 | "license_url": "http://www.opendefinition.org/licenses/odc-by", | ||
| 104 | "maintainer": null, | 104 | "maintainer": null, | ||
| 105 | "maintainer_email": null, | 105 | "maintainer_email": null, | ||
| 106 | "metadata_created": "2023-09-07T14:44:57.235325", | 106 | "metadata_created": "2023-09-07T14:44:57.235325", | ||
| n | 107 | "metadata_modified": "2025-12-19T08:08:26.833102", | n | 107 | "metadata_modified": "2025-12-19T08:08:28.315634", |
| 108 | "name": "mission-antyodaya", | 108 | "name": "mission-antyodaya", | ||
| 109 | "notes": "Mission Antyodaya is an initiative launched by the | 109 | "notes": "Mission Antyodaya is an initiative launched by the | ||
| 110 | Department of Rural Development under the Ministry of Rural | 110 | Department of Rural Development under the Ministry of Rural | ||
| 111 | Development, Government of India, aimed at creating poverty-free Gram | 111 | Development, Government of India, aimed at creating poverty-free Gram | ||
| 112 | Panchayats in a time-bound manner. The mission strives to ensure the | 112 | Panchayats in a time-bound manner. The mission strives to ensure the | ||
| 113 | holistic development of villages by focusing on various parameters | 113 | holistic development of villages by focusing on various parameters | ||
| 114 | such as health, nutrition, education, sanitation, and livelihood. It | 114 | such as health, nutrition, education, sanitation, and livelihood. It | ||
| 115 | adopts a convergence model, uniting the efforts of multiple government | 115 | adopts a convergence model, uniting the efforts of multiple government | ||
| 116 | schemes and programs to amplify their impact and ensure effective | 116 | schemes and programs to amplify their impact and ensure effective | ||
| 117 | resource utilization. The initiative encourages active participation | 117 | resource utilization. The initiative encourages active participation | ||
| 118 | from local communities, ensuring that development efforts are tailored | 118 | from local communities, ensuring that development efforts are tailored | ||
| 119 | to the specific needs of individual Gram Panchayats. Overall, Mission | 119 | to the specific needs of individual Gram Panchayats. Overall, Mission | ||
| 120 | Antyodaya represents a comprehensive approach to rural transformation, | 120 | Antyodaya represents a comprehensive approach to rural transformation, | ||
| 121 | aiming to uplift the most vulnerable sections of society.", | 121 | aiming to uplift the most vulnerable sections of society.", | ||
| 122 | "num_resources": 9, | 122 | "num_resources": 9, | ||
| 123 | "num_tags": 1, | 123 | "num_tags": 1, | ||
| 124 | "organization": { | 124 | "organization": { | ||
| 125 | "approval_status": "approved", | 125 | "approval_status": "approved", | ||
| 126 | "created": "2022-12-05T03:44:54.080358", | 126 | "created": "2022-12-05T03:44:54.080358", | ||
| 127 | "description": "", | 127 | "description": "", | ||
| 128 | "id": "94317457-d297-4549-9640-7865034682c5", | 128 | "id": "94317457-d297-4549-9640-7865034682c5", | ||
| 129 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | 129 | "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", | ||
| 130 | "is_organization": true, | 130 | "is_organization": true, | ||
| 131 | "name": "idp-organization", | 131 | "name": "idp-organization", | ||
| 132 | "state": "active", | 132 | "state": "active", | ||
| 133 | "title": "IDP organization", | 133 | "title": "IDP organization", | ||
| 134 | "type": "organization" | 134 | "type": "organization" | ||
| 135 | }, | 135 | }, | ||
| 136 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | 136 | "owner_org": "94317457-d297-4549-9640-7865034682c5", | ||
| 137 | "private": false, | 137 | "private": false, | ||
| 138 | "relationships_as_object": [], | 138 | "relationships_as_object": [], | ||
| 139 | "relationships_as_subject": [], | 139 | "relationships_as_subject": [], | ||
| 140 | "resources": [ | 140 | "resources": [ | ||
| 141 | { | 141 | { | ||
| 142 | "additional_info": "", | 142 | "additional_info": "", | ||
| 143 | "cache_last_updated": null, | 143 | "cache_last_updated": null, | ||
| 144 | "cache_url": null, | 144 | "cache_url": null, | ||
| 145 | "created": "2023-09-07T14:53:37.426798", | 145 | "created": "2023-09-07T14:53:37.426798", | ||
| 146 | "data_extraction_page": | 146 | "data_extraction_page": | ||
| 147 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | 147 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | ||
| 148 | "data_insights": "The State Infrastructure Index dataset is | 148 | "data_insights": "The State Infrastructure Index dataset is | ||
| 149 | compiled by the Ministry of Rural Development, Government of India, | 149 | compiled by the Ministry of Rural Development, Government of India, | ||
| 150 | based on data collected through the Mission Antyodaya Survey. The | 150 | based on data collected through the Mission Antyodaya Survey. The | ||
| 151 | survey is conducted in rural areas of the country and collects data on | 151 | survey is conducted in rural areas of the country and collects data on | ||
| 152 | a range of socio-economic indicators, including infrastructure status. | 152 | a range of socio-economic indicators, including infrastructure status. | ||
| 153 | The data is collected through a combination of household surveys and | 153 | The data is collected through a combination of household surveys and | ||
| 154 | direct observations of infrastructure in the area. The data is then | 154 | direct observations of infrastructure in the area. The data is then | ||
| 155 | aggregated at the state level to create the State Infrastructure | 155 | aggregated at the state level to create the State Infrastructure | ||
| 156 | Index. The dataset is updated periodically to reflect changes in the | 156 | Index. The dataset is updated periodically to reflect changes in the | ||
| 157 | infrastructure status of different states", | 157 | infrastructure status of different states", | ||
| 158 | "data_last_updated": "2019-2020", | 158 | "data_last_updated": "2019-2020", | ||
| 159 | "data_retreival_date": "2019-2020", | 159 | "data_retreival_date": "2019-2020", | ||
| 160 | "datastore_active": true, | 160 | "datastore_active": true, | ||
| 161 | "description": "Mission Antyodaya Adopted in Union Budget | 161 | "description": "Mission Antyodaya Adopted in Union Budget | ||
| 162 | 2017-18, Mission Antyodaya is a convergence and accountability | 162 | 2017-18, Mission Antyodaya is a convergence and accountability | ||
| 163 | framework aiming to bring optimum use and management of resources | 163 | framework aiming to bring optimum use and management of resources | ||
| 164 | allocated by 27 Ministries/ Department of the Government of India | 164 | allocated by 27 Ministries/ Department of the Government of India | ||
| 165 | under various programmes for the development of rural areas. It is | 165 | under various programmes for the development of rural areas. It is | ||
| 166 | envisaged as state-led initiative with Gram Panchayats as focal points | 166 | envisaged as state-led initiative with Gram Panchayats as focal points | ||
| 167 | of convergence efforts. This data gives us block level lnfrastructure | 167 | of convergence efforts. This data gives us block level lnfrastructure | ||
| 168 | lnfo.", | 168 | lnfo.", | ||
| 169 | "district_no": "711", | 169 | "district_no": "711", | ||
| 170 | "format": "CSV", | 170 | "format": "CSV", | ||
| 171 | "frequency": "Yearly", | 171 | "frequency": "Yearly", | ||
| 172 | "geo_columns": [ | 172 | "geo_columns": [ | ||
| 173 | "state_code", | 173 | "state_code", | ||
| 174 | "district_code", | 174 | "district_code", | ||
| 175 | "block_code" | 175 | "block_code" | ||
| 176 | ], | 176 | ], | ||
| 177 | "gp_no": "", | 177 | "gp_no": "", | ||
| 178 | "granularity": "Block", | 178 | "granularity": "Block", | ||
| 179 | "hash": "", | 179 | "hash": "", | ||
| 180 | "id": "04f08b14-f875-48b7-a3d6-d892392f99e6", | 180 | "id": "04f08b14-f875-48b7-a3d6-d892392f99e6", | ||
| 181 | "idp_ready": true, | 181 | "idp_ready": true, | ||
| 182 | "last_modified": "2023-09-20T11:38:29.397271", | 182 | "last_modified": "2023-09-20T11:38:29.397271", | ||
| 183 | "lgd_mapping": "yes", | 183 | "lgd_mapping": "yes", | ||
| 184 | "metadata_modified": "2025-12-19T08:08:25.371423", | 184 | "metadata_modified": "2025-12-19T08:08:25.371423", | ||
| 185 | "methodology": "Annual survey in Gram Panchayats across the | 185 | "methodology": "Annual survey in Gram Panchayats across the | ||
| 186 | country is an important aspect of Mission Antyodaya framework. Data on | 186 | country is an important aspect of Mission Antyodaya framework. Data on | ||
| 187 | 29 transferred subjects at GP-level are collected through the Survey | 187 | 29 transferred subjects at GP-level are collected through the Survey | ||
| 188 | and are used for generating GP-wise ranking and Gap Reports. While the | 188 | and are used for generating GP-wise ranking and Gap Reports. While the | ||
| 189 | ranking exercise would provide some understanding over the relative | 189 | ranking exercise would provide some understanding over the relative | ||
| 190 | success of convergent planning at GP-level, the Gap Reports serves as | 190 | success of convergent planning at GP-level, the Gap Reports serves as | ||
| 191 | critical inputs for the GPDP planning.", | 191 | critical inputs for the GPDP planning.", | ||
| 192 | "mimetype": "", | 192 | "mimetype": "", | ||
| 193 | "mimetype_inner": null, | 193 | "mimetype_inner": null, | ||
| 194 | "name": "Block Level Infrastructure", | 194 | "name": "Block Level Infrastructure", | ||
| 195 | "no_indicators": "87", | 195 | "no_indicators": "87", | ||
| 196 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 196 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 197 | "position": 0, | 197 | "position": 0, | ||
| 198 | "resource_type": null, | 198 | "resource_type": null, | ||
| 199 | "similar_datasets": "", | 199 | "similar_datasets": "", | ||
| 200 | "size": 2076892, | 200 | "size": 2076892, | ||
| 201 | "sku": "mord-mission_antyodaya-bl-ot-wbc", | 201 | "sku": "mord-mission_antyodaya-bl-ot-wbc", | ||
| 202 | "state": "active", | 202 | "state": "active", | ||
| 203 | "states_uts_no": "32", | 203 | "states_uts_no": "32", | ||
| 204 | "tags": "", | 204 | "tags": "", | ||
| 205 | "tehsil_no": "7104", | 205 | "tehsil_no": "7104", | ||
| 206 | "url": | 206 | "url": | ||
| 207 | 04f08b14-f875-48b7-a3d6-d892392f99e6/download/ma_blocklevel_2020.csv", | 207 | 04f08b14-f875-48b7-a3d6-d892392f99e6/download/ma_blocklevel_2020.csv", | ||
| 208 | "url_type": "upload", | 208 | "url_type": "upload", | ||
| 209 | "village_no": "", | 209 | "village_no": "", | ||
| 210 | "years_covered": "2020" | 210 | "years_covered": "2020" | ||
| 211 | }, | 211 | }, | ||
| 212 | { | 212 | { | ||
| 213 | "additional_info": | 213 | "additional_info": | ||
| 214 | siotyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | 214 | siotyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | ||
| 215 | "cache_last_updated": null, | 215 | "cache_last_updated": null, | ||
| 216 | "cache_url": null, | 216 | "cache_url": null, | ||
| 217 | "created": "2023-09-18T07:15:43.257374", | 217 | "created": "2023-09-18T07:15:43.257374", | ||
| 218 | "data_extraction_page": | 218 | "data_extraction_page": | ||
| 219 | odaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html ", | 219 | odaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html ", | ||
| 220 | "data_insights": "Government employees can use this dataset to | 220 | "data_insights": "Government employees can use this dataset to | ||
| 221 | identify the gaps in infrastructure in various states and plan for | 221 | identify the gaps in infrastructure in various states and plan for | ||
| 222 | targeted interventions to improve the infrastructure status. Social | 222 | targeted interventions to improve the infrastructure status. Social | ||
| 223 | scientists can use this dataset to analyze the relationship between | 223 | scientists can use this dataset to analyze the relationship between | ||
| 224 | infrastructure status and socio-economic indicators in different | 224 | infrastructure status and socio-economic indicators in different | ||
| 225 | states. Policy think tanks can use this dataset to identify best | 225 | states. Policy think tanks can use this dataset to identify best | ||
| 226 | practices in infrastructure development and inform policy decisions. | 226 | practices in infrastructure development and inform policy decisions. | ||
| 227 | Media houses and newsrooms can use this dataset to report on the | 227 | Media houses and newsrooms can use this dataset to report on the | ||
| 228 | infrastructure status of different states and highlight areas that | 228 | infrastructure status of different states and highlight areas that | ||
| 229 | need attention.", | 229 | need attention.", | ||
| 230 | "data_last_updated": "2019-2020", | 230 | "data_last_updated": "2019-2020", | ||
| 231 | "data_retreival_date": "2019-2020", | 231 | "data_retreival_date": "2019-2020", | ||
| 232 | "datastore_active": true, | 232 | "datastore_active": true, | ||
| 233 | "description": "Mission Antyodaya Adopted in Union Budget | 233 | "description": "Mission Antyodaya Adopted in Union Budget | ||
| 234 | 2017-18, Mission Antyodaya is a convergence and accountability | 234 | 2017-18, Mission Antyodaya is a convergence and accountability | ||
| 235 | framework aiming to bring optimum use and management of resources | 235 | framework aiming to bring optimum use and management of resources | ||
| 236 | allocated by 27 Ministries/ Department of the Government of India | 236 | allocated by 27 Ministries/ Department of the Government of India | ||
| 237 | under various programmes for the development of rural areas. It is | 237 | under various programmes for the development of rural areas. It is | ||
| 238 | envisaged as state-led initiative with Gram Panchayats as focal points | 238 | envisaged as state-led initiative with Gram Panchayats as focal points | ||
| 239 | of convergence efforts. This data gives us district level info.", | 239 | of convergence efforts. This data gives us district level info.", | ||
| 240 | "district_no": "706", | 240 | "district_no": "706", | ||
| 241 | "format": "CSV", | 241 | "format": "CSV", | ||
| 242 | "frequency": "Yearly", | 242 | "frequency": "Yearly", | ||
| 243 | "geo_columns": [ | 243 | "geo_columns": [ | ||
| 244 | "state_code", | 244 | "state_code", | ||
| 245 | "district_code" | 245 | "district_code" | ||
| 246 | ], | 246 | ], | ||
| 247 | "gp_no": "", | 247 | "gp_no": "", | ||
| 248 | "granularity": "District", | 248 | "granularity": "District", | ||
| 249 | "hash": "", | 249 | "hash": "", | ||
| 250 | "id": "a413187a-63b1-4ad4-95e4-75fba209e4a7", | 250 | "id": "a413187a-63b1-4ad4-95e4-75fba209e4a7", | ||
| 251 | "idp_ready": true, | 251 | "idp_ready": true, | ||
| 252 | "last_modified": "2024-09-30T11:08:10.029869", | 252 | "last_modified": "2024-09-30T11:08:10.029869", | ||
| 253 | "lgd_mapping": "yes", | 253 | "lgd_mapping": "yes", | ||
| 254 | "metadata_modified": "2025-12-19T08:08:26.838363", | 254 | "metadata_modified": "2025-12-19T08:08:26.838363", | ||
| 255 | "methodology": "The State Infrastructure Index dataset is | 255 | "methodology": "The State Infrastructure Index dataset is | ||
| 256 | compiled by the Ministry of Rural Development, Government of India, | 256 | compiled by the Ministry of Rural Development, Government of India, | ||
| 257 | based on data collected through the Mission Antyodaya Survey. The | 257 | based on data collected through the Mission Antyodaya Survey. The | ||
| 258 | survey is conducted in rural areas of the country and collects data on | 258 | survey is conducted in rural areas of the country and collects data on | ||
| 259 | a range of socio-economic indicators, including infrastructure status. | 259 | a range of socio-economic indicators, including infrastructure status. | ||
| 260 | The data is collected through a combination of household surveys and | 260 | The data is collected through a combination of household surveys and | ||
| 261 | direct observations of infrastructure in the area. The data is then | 261 | direct observations of infrastructure in the area. The data is then | ||
| 262 | aggregated at the state level to create the State Infrastructure | 262 | aggregated at the state level to create the State Infrastructure | ||
| 263 | Index. The dataset is updated periodically to reflect changes in the | 263 | Index. The dataset is updated periodically to reflect changes in the | ||
| 264 | infrastructure status of different states", | 264 | infrastructure status of different states", | ||
| 265 | "mimetype": "text/csv", | 265 | "mimetype": "text/csv", | ||
| 266 | "mimetype_inner": null, | 266 | "mimetype_inner": null, | ||
| 267 | "name": "District Level Infrastructure", | 267 | "name": "District Level Infrastructure", | ||
| 268 | "no_indicators": "90", | 268 | "no_indicators": "90", | ||
| 269 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 269 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 270 | "position": 1, | 270 | "position": 1, | ||
| 271 | "resource_type": null, | 271 | "resource_type": null, | ||
| 272 | "similar_datasets": [], | 272 | "similar_datasets": [], | ||
| 273 | "size": 384048, | 273 | "size": 384048, | ||
| 274 | "sku": "mord-mission_antyodaya-dt-ot-yqu", | 274 | "sku": "mord-mission_antyodaya-dt-ot-yqu", | ||
| 275 | "state": "active", | 275 | "state": "active", | ||
| 276 | "states_uts_no": "32", | 276 | "states_uts_no": "32", | ||
| 277 | "tags": [ | 277 | "tags": [ | ||
| 278 | "State", | 278 | "State", | ||
| 279 | "District", | 279 | "District", | ||
| 280 | "Village", | 280 | "Village", | ||
| 281 | "Bank", | 281 | "Bank", | ||
| 282 | "Railway Station", | 282 | "Railway Station", | ||
| 283 | "School", | 283 | "School", | ||
| 284 | "Hospital\n Road" | 284 | "Hospital\n Road" | ||
| 285 | ], | 285 | ], | ||
| 286 | "tehsil_no": "", | 286 | "tehsil_no": "", | ||
| 287 | "url": | 287 | "url": | ||
| 288 | b1-4ad4-95e4-75fba209e4a7/download/district-level-infrastructure.csv", | 288 | b1-4ad4-95e4-75fba209e4a7/download/district-level-infrastructure.csv", | ||
| 289 | "url_type": "upload", | 289 | "url_type": "upload", | ||
| 290 | "village_no": "", | 290 | "village_no": "", | ||
| 291 | "years_covered": "2019" | 291 | "years_covered": "2019" | ||
| 292 | }, | 292 | }, | ||
| 293 | { | 293 | { | ||
| 294 | "additional_info": "nan", | 294 | "additional_info": "nan", | ||
| 295 | "cache_last_updated": null, | 295 | "cache_last_updated": null, | ||
| 296 | "cache_url": null, | 296 | "cache_url": null, | ||
| 297 | "created": "2023-10-08T06:16:46.212534", | 297 | "created": "2023-10-08T06:16:46.212534", | ||
| 298 | "data_extraction_page": | 298 | "data_extraction_page": | ||
| 299 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | 299 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | ||
| 300 | "data_insights": "Data insights that can be drawn:\nDemographic | 300 | "data_insights": "Data insights that can be drawn:\nDemographic | ||
| 301 | Analysis: Understand population distribution across different states, | 301 | Analysis: Understand population distribution across different states, | ||
| 302 | districts, and blocks, and identify gender ratios at these | 302 | districts, and blocks, and identify gender ratios at these | ||
| 303 | levels.\nInfrastructure Insights: Gauge the availability and | 303 | levels.\nInfrastructure Insights: Gauge the availability and | ||
| 304 | distribution of essential amenities such as banks, ATMs, internet | 304 | distribution of essential amenities such as banks, ATMs, internet | ||
| 305 | connectivity, and road infrastructure.\nUtility Services: Analyze the | 305 | connectivity, and road infrastructure.\nUtility Services: Analyze the | ||
| 306 | availability and frequency of electricity for domestic and MSME units, | 306 | availability and frequency of electricity for domestic and MSME units, | ||
| 307 | water supply infrastructure, and the use of clean energy | 307 | water supply infrastructure, and the use of clean energy | ||
| 308 | sources.\nPublic Amenities: Determine the availability of public | 308 | sources.\nPublic Amenities: Determine the availability of public | ||
| 309 | transportation, markets, post offices, and public information | 309 | transportation, markets, post offices, and public information | ||
| 310 | boards.\nEducational & Recreational Facilities: Understand the | 310 | boards.\nEducational & Recreational Facilities: Understand the | ||
| 311 | accessibility to various educational institutions, libraries, sports, | 311 | accessibility to various educational institutions, libraries, sports, | ||
| 312 | and recreational facilities at the village level.\nHealthcare | 312 | and recreational facilities at the village level.\nHealthcare | ||
| 313 | Facilities: Examine the healthcare infrastructure, including the | 313 | Facilities: Examine the healthcare infrastructure, including the | ||
| 314 | availability of CHCs, PHCs, sub-centres, and the proximity to these | 314 | availability of CHCs, PHCs, sub-centres, and the proximity to these | ||
| 315 | facilities.\nDrainage System Analysis: Gauge the type and quality of | 315 | facilities.\nDrainage System Analysis: Gauge the type and quality of | ||
| 316 | drainage facilities available.", | 316 | drainage facilities available.", | ||
| 317 | "data_last_updated": "2019-2020", | 317 | "data_last_updated": "2019-2020", | ||
| 318 | "data_retreival_date": "2019-2020", | 318 | "data_retreival_date": "2019-2020", | ||
| 319 | "datastore_active": true, | 319 | "datastore_active": true, | ||
| 320 | "description": "The 'Panchayat Level Infrastructure' dataset | 320 | "description": "The 'Panchayat Level Infrastructure' dataset | ||
| 321 | offers a comprehensive insight into the infrastructure facilities | 321 | offers a comprehensive insight into the infrastructure facilities | ||
| 322 | available at the Gram Panchayat (village council) level in various | 322 | available at the Gram Panchayat (village council) level in various | ||
| 323 | states of India. The data encompasses a myriad of details, from basic | 323 | states of India. The data encompasses a myriad of details, from basic | ||
| 324 | demographic information to intricate specifics about amenities, | 324 | demographic information to intricate specifics about amenities, | ||
| 325 | including public transportation, health facilities, education | 325 | including public transportation, health facilities, education | ||
| 326 | institutions, and utilities, among others.", | 326 | institutions, and utilities, among others.", | ||
| 327 | "district_no": 711, | 327 | "district_no": 711, | ||
| 328 | "format": "CSV", | 328 | "format": "CSV", | ||
| 329 | "frequency": "Yearly", | 329 | "frequency": "Yearly", | ||
| n | n | 330 | "geo_columns": [ | ||
| 331 | "state_code", | ||||
| 332 | "district_code", | ||||
| 333 | "block_code", | ||||
| 334 | "gp_code" | ||||
| 335 | ], | ||||
| 330 | "gp_no": 267126, | 336 | "gp_no": 267126, | ||
| 331 | "granularity": "Panchayat", | 337 | "granularity": "Panchayat", | ||
| 332 | "hash": "", | 338 | "hash": "", | ||
| 333 | "id": "382942ce-d369-48b4-925b-476d0483f65f", | 339 | "id": "382942ce-d369-48b4-925b-476d0483f65f", | ||
| 334 | "idp_ready": true, | 340 | "idp_ready": true, | ||
| 335 | "last_modified": "2024-01-02T07:08:09.744965", | 341 | "last_modified": "2024-01-02T07:08:09.744965", | ||
| 336 | "lgd_mapping": "yes", | 342 | "lgd_mapping": "yes", | ||
| t | 337 | "metadata_modified": "2024-08-22T10:10:42.122745", | t | 343 | "metadata_modified": "2025-12-19T08:08:28.321222", |
| 338 | "methodology": "Data for this dataset appears to be gathered | 344 | "methodology": "Data for this dataset appears to be gathered | ||
| 339 | through direct surveys conducted at the Gram Panchayat level across | 345 | through direct surveys conducted at the Gram Panchayat level across | ||
| 340 | different states in India. The data points seem to be primarily | 346 | different states in India. The data points seem to be primarily | ||
| 341 | quantitative in nature, possibly derived from village council reports | 347 | quantitative in nature, possibly derived from village council reports | ||
| 342 | or direct survey metrics.", | 348 | or direct survey metrics.", | ||
| 343 | "mimetype": "text/csv", | 349 | "mimetype": "text/csv", | ||
| 344 | "mimetype_inner": null, | 350 | "mimetype_inner": null, | ||
| 345 | "name": "Panchayat Level Infrastructure", | 351 | "name": "Panchayat Level Infrastructure", | ||
| 346 | "no_indicators": 87, | 352 | "no_indicators": 87, | ||
| 347 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 353 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 348 | "position": 2, | 354 | "position": 2, | ||
| 349 | "resource_type": null, | 355 | "resource_type": null, | ||
| 350 | "similar_datasets": "", | 356 | "similar_datasets": "", | ||
| 351 | "size": 120543086, | 357 | "size": 120543086, | ||
| 352 | "sku": "mord-mission_antyodaya-gp-ot-bmd", | 358 | "sku": "mord-mission_antyodaya-gp-ot-bmd", | ||
| 353 | "state": "active", | 359 | "state": "active", | ||
| 354 | "states_uts_no": 32, | 360 | "states_uts_no": 32, | ||
| 355 | "tags": "", | 361 | "tags": "", | ||
| 356 | "tehsil_no": 7104, | 362 | "tehsil_no": 7104, | ||
| 357 | "url": | 363 | "url": | ||
| 358 | 9-48b4-925b-476d0483f65f/download/panchayat-level-infrastructure.csv", | 364 | 9-48b4-925b-476d0483f65f/download/panchayat-level-infrastructure.csv", | ||
| 359 | "url_type": "upload", | 365 | "url_type": "upload", | ||
| 360 | "village_no": 648245, | 366 | "village_no": 648245, | ||
| 361 | "years_covered": "2020.0" | 367 | "years_covered": "2020.0" | ||
| 362 | }, | 368 | }, | ||
| 363 | { | 369 | { | ||
| 364 | "additional_info": | 370 | "additional_info": | ||
| 365 | siotyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | 371 | siotyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | ||
| 366 | "cache_last_updated": null, | 372 | "cache_last_updated": null, | ||
| 367 | "cache_url": null, | 373 | "cache_url": null, | ||
| 368 | "created": "2023-10-29T13:43:38.940580", | 374 | "created": "2023-10-29T13:43:38.940580", | ||
| 369 | "data_extraction_page": | 375 | "data_extraction_page": | ||
| 370 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | 376 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | ||
| 371 | "data_insights": "Government employees can use this dataset to | 377 | "data_insights": "Government employees can use this dataset to | ||
| 372 | identify the gaps in infrastructure in various states and plan for | 378 | identify the gaps in infrastructure in various states and plan for | ||
| 373 | targeted interventions to improve the infrastructure status. Social | 379 | targeted interventions to improve the infrastructure status. Social | ||
| 374 | scientists can use this dataset to analyze the relationship between | 380 | scientists can use this dataset to analyze the relationship between | ||
| 375 | infrastructure status and socio-economic indicators in different | 381 | infrastructure status and socio-economic indicators in different | ||
| 376 | states. Policy think tanks can use this dataset to identify best | 382 | states. Policy think tanks can use this dataset to identify best | ||
| 377 | practices in infrastructure development and inform policy decisions. | 383 | practices in infrastructure development and inform policy decisions. | ||
| 378 | Media houses and newsrooms can use this dataset to report on the | 384 | Media houses and newsrooms can use this dataset to report on the | ||
| 379 | infrastructure status of different states and highlight areas that | 385 | infrastructure status of different states and highlight areas that | ||
| 380 | need attention.", | 386 | need attention.", | ||
| 381 | "data_last_updated": "2019-2020", | 387 | "data_last_updated": "2019-2020", | ||
| 382 | "data_retreival_date": "2019-2020", | 388 | "data_retreival_date": "2019-2020", | ||
| 383 | "datastore_active": true, | 389 | "datastore_active": true, | ||
| 384 | "description": "Mission Antyodaya Adopted in Union Budget | 390 | "description": "Mission Antyodaya Adopted in Union Budget | ||
| 385 | 2017-18, Mission Antyodaya is a convergence and accountability | 391 | 2017-18, Mission Antyodaya is a convergence and accountability | ||
| 386 | framework aiming to bring optimum use and management of resources | 392 | framework aiming to bring optimum use and management of resources | ||
| 387 | allocated by 27 Ministries/ Department of the Government of India | 393 | allocated by 27 Ministries/ Department of the Government of India | ||
| 388 | under various programmes for the development of rural areas. It is | 394 | under various programmes for the development of rural areas. It is | ||
| 389 | envisaged as state-led initiative with Gram Panchayats as focal points | 395 | envisaged as state-led initiative with Gram Panchayats as focal points | ||
| 390 | of convergence efforts. This data gives us State level info.", | 396 | of convergence efforts. This data gives us State level info.", | ||
| 391 | "format": "CSV", | 397 | "format": "CSV", | ||
| 392 | "frequency": "Yearly", | 398 | "frequency": "Yearly", | ||
| 393 | "granularity": "State", | 399 | "granularity": "State", | ||
| 394 | "hash": "", | 400 | "hash": "", | ||
| 395 | "id": "574af123-928c-4f07-b30f-a3571aa1c852", | 401 | "id": "574af123-928c-4f07-b30f-a3571aa1c852", | ||
| 396 | "idp_read": "False", | 402 | "idp_read": "False", | ||
| 397 | "last_modified": "2023-10-29T13:43:38.889382", | 403 | "last_modified": "2023-10-29T13:43:38.889382", | ||
| 398 | "lgd_mapping": "yes", | 404 | "lgd_mapping": "yes", | ||
| 399 | "metadata_modified": "2024-08-22T10:10:42.762670", | 405 | "metadata_modified": "2024-08-22T10:10:42.762670", | ||
| 400 | "methodology": "The State Infrastructure Index dataset is | 406 | "methodology": "The State Infrastructure Index dataset is | ||
| 401 | compiled by the Ministry of Rural Development, Government of India, | 407 | compiled by the Ministry of Rural Development, Government of India, | ||
| 402 | based on data collected through the Mission Antyodaya Survey. The | 408 | based on data collected through the Mission Antyodaya Survey. The | ||
| 403 | survey is conducted in rural areas of the country and collects data on | 409 | survey is conducted in rural areas of the country and collects data on | ||
| 404 | a range of socio-economic indicators, including infrastructure status. | 410 | a range of socio-economic indicators, including infrastructure status. | ||
| 405 | The data is collected through a combination of household surveys and | 411 | The data is collected through a combination of household surveys and | ||
| 406 | direct observations of infrastructure in the area. The data is then | 412 | direct observations of infrastructure in the area. The data is then | ||
| 407 | aggregated at the state level to create the State Infrastructure | 413 | aggregated at the state level to create the State Infrastructure | ||
| 408 | Index. The dataset is updated periodically to reflect changes in the | 414 | Index. The dataset is updated periodically to reflect changes in the | ||
| 409 | infrastructure status of different states", | 415 | infrastructure status of different states", | ||
| 410 | "mimetype": "text/csv", | 416 | "mimetype": "text/csv", | ||
| 411 | "mimetype_inner": null, | 417 | "mimetype_inner": null, | ||
| 412 | "name": "State Level Infrastructure", | 418 | "name": "State Level Infrastructure", | ||
| 413 | "no_indicators": "90", | 419 | "no_indicators": "90", | ||
| 414 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 420 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 415 | "position": 3, | 421 | "position": 3, | ||
| 416 | "resource_type": null, | 422 | "resource_type": null, | ||
| 417 | "similar_datasets": [], | 423 | "similar_datasets": [], | ||
| 418 | "size": 20918, | 424 | "size": 20918, | ||
| 419 | "sku": "mord-mission_antyodaya-st-ot-rho", | 425 | "sku": "mord-mission_antyodaya-st-ot-rho", | ||
| 420 | "state": "active", | 426 | "state": "active", | ||
| 421 | "states_uts_no": "33", | 427 | "states_uts_no": "33", | ||
| 422 | "tags": [ | 428 | "tags": [ | ||
| 423 | "State", | 429 | "State", | ||
| 424 | "District", | 430 | "District", | ||
| 425 | "Village", | 431 | "Village", | ||
| 426 | "Bank", | 432 | "Bank", | ||
| 427 | "Railway Station", | 433 | "Railway Station", | ||
| 428 | "School", | 434 | "School", | ||
| 429 | "Hospital\n Road" | 435 | "Hospital\n Road" | ||
| 430 | ], | 436 | ], | ||
| 431 | "url": | 437 | "url": | ||
| 432 | -928c-4f07-b30f-a3571aa1c852/download/state-level-infrastructure.csv", | 438 | -928c-4f07-b30f-a3571aa1c852/download/state-level-infrastructure.csv", | ||
| 433 | "url_type": "upload", | 439 | "url_type": "upload", | ||
| 434 | "years_covered": "2020" | 440 | "years_covered": "2020" | ||
| 435 | }, | 441 | }, | ||
| 436 | { | 442 | { | ||
| 437 | "additional_info": "nan", | 443 | "additional_info": "nan", | ||
| 438 | "cache_last_updated": null, | 444 | "cache_last_updated": null, | ||
| 439 | "cache_url": null, | 445 | "cache_url": null, | ||
| 440 | "created": "2024-06-27T04:35:34.634848", | 446 | "created": "2024-06-27T04:35:34.634848", | ||
| 441 | "data_extraction_page": | 447 | "data_extraction_page": | ||
| 442 | nantyodaya.nic.in/ma2020/preloginStateInfrastructureReports2020.html", | 448 | nantyodaya.nic.in/ma2020/preloginStateInfrastructureReports2020.html", | ||
| 443 | "data_insights": "The \"Mission Antyodaya\" dataset offers | 449 | "data_insights": "The \"Mission Antyodaya\" dataset offers | ||
| 444 | valuable insights into rural development, including:Infrastructure | 450 | valuable insights into rural development, including:Infrastructure | ||
| 445 | Gaps: Identifies areas needing improvements in roads, electricity, and | 451 | Gaps: Identifies areas needing improvements in roads, electricity, and | ||
| 446 | internet facilities.Service Accessibility: Highlights gaps in access | 452 | internet facilities.Service Accessibility: Highlights gaps in access | ||
| 447 | to banking, healthcare, and education services.Population | 453 | to banking, healthcare, and education services.Population | ||
| 448 | Demographics: Provides data on gender distribution and household sizes | 454 | Demographics: Provides data on gender distribution and household sizes | ||
| 449 | to inform social programs.Economic Activities: Assesses market access | 455 | to inform social programs.Economic Activities: Assesses market access | ||
| 450 | and support for local businesses.Educational Infrastructure: Evaluates | 456 | and support for local businesses.Educational Infrastructure: Evaluates | ||
| 451 | the presence and condition of schools and vocational | 457 | the presence and condition of schools and vocational | ||
| 452 | centers.Healthcare Availability: Shows the availability of health | 458 | centers.Healthcare Availability: Shows the availability of health | ||
| 453 | facilities and clean energy usage.Environmental Practices: Indicates | 459 | facilities and clean energy usage.Environmental Practices: Indicates | ||
| 454 | adoption of sustainable practices like solar/wind energy and drainage | 460 | adoption of sustainable practices like solar/wind energy and drainage | ||
| 455 | facilities.", | 461 | facilities.", | ||
| 456 | "data_last_updated": "28-05-2024", | 462 | "data_last_updated": "28-05-2024", | ||
| 457 | "data_retreival_date": "28-05-2024", | 463 | "data_retreival_date": "28-05-2024", | ||
| 458 | "datastore_active": true, | 464 | "datastore_active": true, | ||
| 459 | "description": "The \"Mission Antyodaya\" dataset provides a | 465 | "description": "The \"Mission Antyodaya\" dataset provides a | ||
| 460 | comprehensive overview of village-level infrastructure and | 466 | comprehensive overview of village-level infrastructure and | ||
| 461 | socio-economic indicators across India. Collected under the Mission | 467 | socio-economic indicators across India. Collected under the Mission | ||
| 462 | Antyodaya initiative, this dataset aims to support the government's | 468 | Antyodaya initiative, this dataset aims to support the government's | ||
| 463 | efforts in improving rural infrastructure and services. It includes | 469 | efforts in improving rural infrastructure and services. It includes | ||
| 464 | detailed information on population demographics, availability of | 470 | detailed information on population demographics, availability of | ||
| 465 | essential services, and the presence of various facilities within | 471 | essential services, and the presence of various facilities within | ||
| 466 | villages. This dataset serves as a vital tool for policymakers, | 472 | villages. This dataset serves as a vital tool for policymakers, | ||
| 467 | researchers, and development practitioners working towards rural | 473 | researchers, and development practitioners working towards rural | ||
| 468 | development and poverty alleviation.", | 474 | development and poverty alleviation.", | ||
| 469 | "district_no": "711", | 475 | "district_no": "711", | ||
| 470 | "format": "CSV", | 476 | "format": "CSV", | ||
| 471 | "frequency": "Yearly", | 477 | "frequency": "Yearly", | ||
| 472 | "gp_no": "253692", | 478 | "gp_no": "253692", | ||
| 473 | "granularity": "Village", | 479 | "granularity": "Village", | ||
| 474 | "hash": "", | 480 | "hash": "", | ||
| 475 | "id": "c453c04a-e34b-43cf-8a10-c357c5bd5f55", | 481 | "id": "c453c04a-e34b-43cf-8a10-c357c5bd5f55", | ||
| 476 | "idp_ready": true, | 482 | "idp_ready": true, | ||
| 477 | "indicators": [], | 483 | "indicators": [], | ||
| 478 | "last_modified": "2024-06-27T04:35:34.601722", | 484 | "last_modified": "2024-06-27T04:35:34.601722", | ||
| 479 | "lgd_mapping": "yes", | 485 | "lgd_mapping": "yes", | ||
| 480 | "metadata_modified": "2024-09-16T09:48:31.609019", | 486 | "metadata_modified": "2024-09-16T09:48:31.609019", | ||
| 481 | "methodology": "The data for the \"Mission Antyodaya\" dataset | 487 | "methodology": "The data for the \"Mission Antyodaya\" dataset | ||
| 482 | is collected annually by the Ministry of Rural Development, Government | 488 | is collected annually by the Ministry of Rural Development, Government | ||
| 483 | of India, through a systematic village-level survey. The survey covers | 489 | of India, through a systematic village-level survey. The survey covers | ||
| 484 | various aspects of rural infrastructure and services, including | 490 | various aspects of rural infrastructure and services, including | ||
| 485 | banking facilities, internet connectivity, public transport, and | 491 | banking facilities, internet connectivity, public transport, and | ||
| 486 | educational institutions, among others. Data is gathered by trained | 492 | educational institutions, among others. Data is gathered by trained | ||
| 487 | enumerators who visit each village and record the availability and | 493 | enumerators who visit each village and record the availability and | ||
| 488 | accessibility of these facilities. The data is then compiled and | 494 | accessibility of these facilities. The data is then compiled and | ||
| 489 | verified at multiple levels to ensure accuracy and reliability before | 495 | verified at multiple levels to ensure accuracy and reliability before | ||
| 490 | being published.", | 496 | being published.", | ||
| 491 | "mimetype": null, | 497 | "mimetype": null, | ||
| 492 | "mimetype_inner": null, | 498 | "mimetype_inner": null, | ||
| 493 | "name": "Village Level Infrastructure", | 499 | "name": "Village Level Infrastructure", | ||
| 494 | "no_indicators": "12", | 500 | "no_indicators": "12", | ||
| 495 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 501 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 496 | "position": 4, | 502 | "position": 4, | ||
| 497 | "resource_type": null, | 503 | "resource_type": null, | ||
| 498 | "similar_resources": "", | 504 | "similar_resources": "", | ||
| 499 | "size": 267182809, | 505 | "size": 267182809, | ||
| 500 | "sku": "mord-mission_antyodaya-vl-ot-rho", | 506 | "sku": "mord-mission_antyodaya-vl-ot-rho", | ||
| 501 | "state": "active", | 507 | "state": "active", | ||
| 502 | "states_uts_no": "32", | 508 | "states_uts_no": "32", | ||
| 503 | "tehsil_no": "0", | 509 | "tehsil_no": "0", | ||
| 504 | "url": | 510 | "url": | ||
| 505 | 34b-43cf-8a10-c357c5bd5f55/download/village-level-infrastructure.csv", | 511 | 34b-43cf-8a10-c357c5bd5f55/download/village-level-infrastructure.csv", | ||
| 506 | "url_type": "upload", | 512 | "url_type": "upload", | ||
| 507 | "years_covered": "2020.0" | 513 | "years_covered": "2020.0" | ||
| 508 | }, | 514 | }, | ||
| 509 | { | 515 | { | ||
| 510 | "additional_info": "nan", | 516 | "additional_info": "nan", | ||
| 511 | "cache_last_updated": null, | 517 | "cache_last_updated": null, | ||
| 512 | "cache_url": null, | 518 | "cache_url": null, | ||
| 513 | "created": "2024-09-16T06:13:06.379094", | 519 | "created": "2024-09-16T06:13:06.379094", | ||
| 514 | "data_extraction_page": "nan", | 520 | "data_extraction_page": "nan", | ||
| 515 | "data_insights": "The village agriculture report offers valuable | 521 | "data_insights": "The village agriculture report offers valuable | ||
| 516 | insights into the agricultural infrastructure and practices across | 522 | insights into the agricultural infrastructure and practices across | ||
| 517 | various regions. By analyzing the data, one can assess the | 523 | various regions. By analyzing the data, one can assess the | ||
| 518 | distribution and availability of essential agricultural resources such | 524 | distribution and availability of essential agricultural resources such | ||
| 519 | as government seed centers, watershed development projects, and | 525 | as government seed centers, watershed development projects, and | ||
| 520 | community rainwater harvesting systems. The report can also reveal the | 526 | community rainwater harvesting systems. The report can also reveal the | ||
| 521 | extent of farm and non-farm activities within households and the | 527 | extent of farm and non-farm activities within households and the | ||
| 522 | presence of facilities like warehouses, primary processing units, and | 528 | presence of facilities like warehouses, primary processing units, and | ||
| 523 | custom hiring centers. Additionally, evaluating these elements at | 529 | custom hiring centers. Additionally, evaluating these elements at | ||
| 524 | different administrative levels (state, district, block, village) can | 530 | different administrative levels (state, district, block, village) can | ||
| 525 | help identify disparities and target areas for development to enhance | 531 | help identify disparities and target areas for development to enhance | ||
| 526 | agricultural productivity and sustainability.", | 532 | agricultural productivity and sustainability.", | ||
| 527 | "data_last_updated": "13-09-2024", | 533 | "data_last_updated": "13-09-2024", | ||
| 528 | "data_retreival_date": "13-09-2024", | 534 | "data_retreival_date": "13-09-2024", | ||
| 529 | "datastore_active": true, | 535 | "datastore_active": true, | ||
| 530 | "description": "The Village Agriculture Report provides a | 536 | "description": "The Village Agriculture Report provides a | ||
| 531 | detailed analysis of agricultural infrastructure and activities across | 537 | detailed analysis of agricultural infrastructure and activities across | ||
| 532 | villages. It includes data on households involved in farm and non-farm | 538 | villages. It includes data on households involved in farm and non-farm | ||
| 533 | activities, availability of government seed centers, watershed | 539 | activities, availability of government seed centers, watershed | ||
| 534 | development projects, and community rainwater harvesting systems. The | 540 | development projects, and community rainwater harvesting systems. The | ||
| 535 | report also tracks the presence of farmer collectives, warehouses for | 541 | report also tracks the presence of farmer collectives, warehouses for | ||
| 536 | food grain storage, primary processing facilities, and custom hiring | 542 | food grain storage, primary processing facilities, and custom hiring | ||
| 537 | centers, offering insights into the agricultural support systems in | 543 | centers, offering insights into the agricultural support systems in | ||
| 538 | place for enhancing productivity and rural livelihoods. The data, | 544 | place for enhancing productivity and rural livelihoods. The data, | ||
| 539 | categorized by states, districts, and villages, aids in understanding | 545 | categorized by states, districts, and villages, aids in understanding | ||
| 540 | the agricultural landscape and identifying gaps in resources.", | 546 | the agricultural landscape and identifying gaps in resources.", | ||
| 541 | "district_no": "711", | 547 | "district_no": "711", | ||
| 542 | "format": "CSV", | 548 | "format": "CSV", | ||
| 543 | "frequency": "Yearly", | 549 | "frequency": "Yearly", | ||
| 544 | "gp_no": "253689", | 550 | "gp_no": "253689", | ||
| 545 | "granularity": "Village", | 551 | "granularity": "Village", | ||
| 546 | "hash": "", | 552 | "hash": "", | ||
| 547 | "id": "053f4797-3515-4268-bf5a-a3348d567a18", | 553 | "id": "053f4797-3515-4268-bf5a-a3348d567a18", | ||
| 548 | "idp_ready": true, | 554 | "idp_ready": true, | ||
| 549 | "indicators": [], | 555 | "indicators": [], | ||
| 550 | "last_modified": "2024-09-16T06:13:06.331622", | 556 | "last_modified": "2024-09-16T06:13:06.331622", | ||
| 551 | "lgd_mapping": "yes", | 557 | "lgd_mapping": "yes", | ||
| 552 | "metadata_modified": "2024-09-16T09:49:02.681785", | 558 | "metadata_modified": "2024-09-16T09:49:02.681785", | ||
| 553 | "methodology": "Annual survey in Village Agriculture Report | 559 | "methodology": "Annual survey in Village Agriculture Report | ||
| 554 | across the country is an important aspect of Mission Antyodaya | 560 | across the country is an important aspect of Mission Antyodaya | ||
| 555 | framework. Data at Village-level are collected through the Survey and | 561 | framework. Data at Village-level are collected through the Survey and | ||
| 556 | are used for generating Village-wise ranking and Gap Reports. While | 562 | are used for generating Village-wise ranking and Gap Reports. While | ||
| 557 | the ranking exercise would provide some understanding over the | 563 | the ranking exercise would provide some understanding over the | ||
| 558 | relative success of convergent planning at Village-level, the Gap | 564 | relative success of convergent planning at Village-level, the Gap | ||
| 559 | Reports serves as critical inputs for the GPDP planning.", | 565 | Reports serves as critical inputs for the GPDP planning.", | ||
| 560 | "mimetype": null, | 566 | "mimetype": null, | ||
| 561 | "mimetype_inner": null, | 567 | "mimetype_inner": null, | ||
| 562 | "name": "Village Agriculture Report", | 568 | "name": "Village Agriculture Report", | ||
| 563 | "no_indicators": "3", | 569 | "no_indicators": "3", | ||
| 564 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 570 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 565 | "position": 5, | 571 | "position": 5, | ||
| 566 | "resource_type": null, | 572 | "resource_type": null, | ||
| 567 | "similar_resources": "", | 573 | "similar_resources": "", | ||
| 568 | "size": 102911552, | 574 | "size": 102911552, | ||
| 569 | "sku": "mord-mission_antyodaya_agri-vl-yr-rrr", | 575 | "sku": "mord-mission_antyodaya_agri-vl-yr-rrr", | ||
| 570 | "state": "active", | 576 | "state": "active", | ||
| 571 | "states_uts_no": "32", | 577 | "states_uts_no": "32", | ||
| 572 | "tehsil_no": "7106", | 578 | "tehsil_no": "7106", | ||
| 573 | "url": | 579 | "url": | ||
| 574 | -3515-4268-bf5a-a3348d567a18/download/village-agriculture-report.csv", | 580 | -3515-4268-bf5a-a3348d567a18/download/village-agriculture-report.csv", | ||
| 575 | "url_type": "upload", | 581 | "url_type": "upload", | ||
| 576 | "years_covered": "2020.0" | 582 | "years_covered": "2020.0" | ||
| 577 | }, | 583 | }, | ||
| 578 | { | 584 | { | ||
| 579 | "additional_info": "nan", | 585 | "additional_info": "nan", | ||
| 580 | "cache_last_updated": null, | 586 | "cache_last_updated": null, | ||
| 581 | "cache_url": null, | 587 | "cache_url": null, | ||
| 582 | "created": "2024-09-16T08:07:42.511038", | 588 | "created": "2024-09-16T08:07:42.511038", | ||
| 583 | "data_extraction_page": "nan", | 589 | "data_extraction_page": "nan", | ||
| 584 | "data_insights": "The Mission Antyodaya Village Basic Facilities | 590 | "data_insights": "The Mission Antyodaya Village Basic Facilities | ||
| 585 | provides insights into infrastructure gaps, helping identify villages | 591 | provides insights into infrastructure gaps, helping identify villages | ||
| 586 | lacking essential services like roads, electricity, and water supply. | 592 | lacking essential services like roads, electricity, and water supply. | ||
| 587 | It also reveals disparities in access to education, healthcare, and | 593 | It also reveals disparities in access to education, healthcare, and | ||
| 588 | banking facilities, aiding in targeted resource allocation. The data | 594 | banking facilities, aiding in targeted resource allocation. The data | ||
| 589 | supports rural development planning by highlighting areas needing | 595 | supports rural development planning by highlighting areas needing | ||
| 590 | government facilities and services. Additionally, it offers insights | 596 | government facilities and services. Additionally, it offers insights | ||
| 591 | into sustainability efforts, such as waste management and bio-gas | 597 | into sustainability efforts, such as waste management and bio-gas | ||
| 592 | initiatives, crucial for improving rural living conditions and | 598 | initiatives, crucial for improving rural living conditions and | ||
| 593 | ensuring equitable development.", | 599 | ensuring equitable development.", | ||
| 594 | "data_last_updated": "09-09-2024", | 600 | "data_last_updated": "09-09-2024", | ||
| 595 | "data_retreival_date": "09-09-2024", | 601 | "data_retreival_date": "09-09-2024", | ||
| 596 | "datastore_active": true, | 602 | "datastore_active": true, | ||
| 597 | "description": "The Mission Antyodaya Village Basic Facilities | 603 | "description": "The Mission Antyodaya Village Basic Facilities | ||
| 598 | dataset provides detailed, village-level information across multiple | 604 | dataset provides detailed, village-level information across multiple | ||
| 599 | administrative levels. It encompasses essential infrastructure and | 605 | administrative levels. It encompasses essential infrastructure and | ||
| 600 | services such as banking facilities, ATM availability, all-weather and | 606 | services such as banking facilities, ATM availability, all-weather and | ||
| 601 | internal pucca roads, public transportation, electricity access, water | 607 | internal pucca roads, public transportation, electricity access, water | ||
| 602 | supply, telecommunications, and postal services. Additionally, the | 608 | supply, telecommunications, and postal services. Additionally, the | ||
| 603 | dataset includes educational institutions from primary to vocational | 609 | dataset includes educational institutions from primary to vocational | ||
| 604 | levels, healthcare facilities, drainage systems, soil testing centers, | 610 | levels, healthcare facilities, drainage systems, soil testing centers, | ||
| 605 | and waste management solutions. By capturing these diverse aspects, | 611 | and waste management solutions. By capturing these diverse aspects, | ||
| 606 | the dataset facilitates comprehensive monitoring and planning to | 612 | the dataset facilitates comprehensive monitoring and planning to | ||
| 607 | enhance rural development and ensure villages are well-equipped with | 613 | enhance rural development and ensure villages are well-equipped with | ||
| 608 | necessary amenities and connectivity.", | 614 | necessary amenities and connectivity.", | ||
| 609 | "district_no": "711", | 615 | "district_no": "711", | ||
| 610 | "format": "CSV", | 616 | "format": "CSV", | ||
| 611 | "frequency": "Yearly", | 617 | "frequency": "Yearly", | ||
| 612 | "gp_no": "253682", | 618 | "gp_no": "253682", | ||
| 613 | "granularity": "Village", | 619 | "granularity": "Village", | ||
| 614 | "hash": "", | 620 | "hash": "", | ||
| 615 | "id": "44a0619d-3136-46ec-b27f-1282bdbcff9d", | 621 | "id": "44a0619d-3136-46ec-b27f-1282bdbcff9d", | ||
| 616 | "idp_ready": true, | 622 | "idp_ready": true, | ||
| 617 | "indicators": [], | 623 | "indicators": [], | ||
| 618 | "last_modified": "2024-09-16T08:07:42.474444", | 624 | "last_modified": "2024-09-16T08:07:42.474444", | ||
| 619 | "lgd_mapping": "yes", | 625 | "lgd_mapping": "yes", | ||
| 620 | "metadata_modified": "2024-09-16T09:49:34.040895", | 626 | "metadata_modified": "2024-09-16T09:49:34.040895", | ||
| 621 | "methodology": "Annual survey in Village across the country is | 627 | "methodology": "Annual survey in Village across the country is | ||
| 622 | an important aspect of Mission Antyodaya framework. Data at | 628 | an important aspect of Mission Antyodaya framework. Data at | ||
| 623 | Village-level are collected through the Survey and are used for | 629 | Village-level are collected through the Survey and are used for | ||
| 624 | generating Village-wise ranking and Gap Reports. While the ranking | 630 | generating Village-wise ranking and Gap Reports. While the ranking | ||
| 625 | exercise would provide some understanding over the relative success of | 631 | exercise would provide some understanding over the relative success of | ||
| 626 | convergent planning at Village-level, the Gap Reports serves as | 632 | convergent planning at Village-level, the Gap Reports serves as | ||
| 627 | critical inputs for the GPDP planning.", | 633 | critical inputs for the GPDP planning.", | ||
| 628 | "mimetype": null, | 634 | "mimetype": null, | ||
| 629 | "mimetype_inner": null, | 635 | "mimetype_inner": null, | ||
| 630 | "name": "Village Basic Facilities", | 636 | "name": "Village Basic Facilities", | ||
| 631 | "no_indicators": "0", | 637 | "no_indicators": "0", | ||
| 632 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 638 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 633 | "position": 6, | 639 | "position": 6, | ||
| 634 | "resource_type": null, | 640 | "resource_type": null, | ||
| 635 | "similar_resources": "", | 641 | "similar_resources": "", | ||
| 636 | "size": 193234037, | 642 | "size": 193234037, | ||
| 637 | "sku": "mord-mission_antyodaya_basic_facility-vl-yr-rrr", | 643 | "sku": "mord-mission_antyodaya_basic_facility-vl-yr-rrr", | ||
| 638 | "state": "active", | 644 | "state": "active", | ||
| 639 | "states_uts_no": "32", | 645 | "states_uts_no": "32", | ||
| 640 | "tehsil_no": "7106", | 646 | "tehsil_no": "7106", | ||
| 641 | "url": | 647 | "url": | ||
| 642 | 9d-3136-46ec-b27f-1282bdbcff9d/download/village-basic-facilities.csv", | 648 | 9d-3136-46ec-b27f-1282bdbcff9d/download/village-basic-facilities.csv", | ||
| 643 | "url_type": "upload", | 649 | "url_type": "upload", | ||
| 644 | "years_covered": "2020.0" | 650 | "years_covered": "2020.0" | ||
| 645 | }, | 651 | }, | ||
| 646 | { | 652 | { | ||
| 647 | "additional_info": "nan", | 653 | "additional_info": "nan", | ||
| 648 | "cache_last_updated": null, | 654 | "cache_last_updated": null, | ||
| 649 | "cache_url": null, | 655 | "cache_url": null, | ||
| 650 | "created": "2024-09-16T08:47:23.992318", | 656 | "created": "2024-09-16T08:47:23.992318", | ||
| 651 | "data_extraction_page": "nan", | 657 | "data_extraction_page": "nan", | ||
| 652 | "data_insights": "From the Mission Antyodaya Village Basic | 658 | "data_insights": "From the Mission Antyodaya Village Basic | ||
| 653 | Facilities dataset, insights can be gained into the distribution and | 659 | Facilities dataset, insights can be gained into the distribution and | ||
| 654 | accessibility of water resources across villages. This includes | 660 | accessibility of water resources across villages. This includes | ||
| 655 | understanding the percentage of households with piped tap water | 661 | understanding the percentage of households with piped tap water | ||
| 656 | connections and identifying areas with inadequate access. The data | 662 | connections and identifying areas with inadequate access. The data | ||
| 657 | helps evaluate regional disparities in water infrastructure, assess | 663 | helps evaluate regional disparities in water infrastructure, assess | ||
| 658 | the effectiveness of water supply programs, and guide targeted | 664 | the effectiveness of water supply programs, and guide targeted | ||
| 659 | improvements. By analyzing this information, policymakers can | 665 | improvements. By analyzing this information, policymakers can | ||
| 660 | prioritize regions needing infrastructure upgrades and ensure more | 666 | prioritize regions needing infrastructure upgrades and ensure more | ||
| 661 | equitable distribution of water resources.", | 667 | equitable distribution of water resources.", | ||
| 662 | "data_last_updated": "09-09-2024", | 668 | "data_last_updated": "09-09-2024", | ||
| 663 | "data_retreival_date": "09-09-2024", | 669 | "data_retreival_date": "09-09-2024", | ||
| 664 | "datastore_active": true, | 670 | "datastore_active": true, | ||
| 665 | "description": "The Mission Antyodaya Village Basic Facilities | 671 | "description": "The Mission Antyodaya Village Basic Facilities | ||
| 666 | dataset provides village-level details on water access and household | 672 | dataset provides village-level details on water access and household | ||
| 667 | infrastructure. Key metrics include the total number of households, | 673 | infrastructure. Key metrics include the total number of households, | ||
| 668 | availability of piped tap water, and the count of households with | 674 | availability of piped tap water, and the count of households with | ||
| 669 | piped water connections. This dataset helps assess water accessibility | 675 | piped water connections. This dataset helps assess water accessibility | ||
| 670 | and infrastructure coverage at the village level, guiding water | 676 | and infrastructure coverage at the village level, guiding water | ||
| 671 | resource management and planning efforts.", | 677 | resource management and planning efforts.", | ||
| 672 | "district_no": "711", | 678 | "district_no": "711", | ||
| 673 | "format": "CSV", | 679 | "format": "CSV", | ||
| 674 | "frequency": "Yearly", | 680 | "frequency": "Yearly", | ||
| 675 | "gp_no": "7106", | 681 | "gp_no": "7106", | ||
| 676 | "granularity": "Village", | 682 | "granularity": "Village", | ||
| 677 | "hash": "", | 683 | "hash": "", | ||
| 678 | "id": "575df5a4-e1f6-449c-bdaa-1122b975ba32", | 684 | "id": "575df5a4-e1f6-449c-bdaa-1122b975ba32", | ||
| 679 | "idp_ready": true, | 685 | "idp_ready": true, | ||
| 680 | "indicators": [], | 686 | "indicators": [], | ||
| 681 | "last_modified": "2024-09-16T08:47:23.963304", | 687 | "last_modified": "2024-09-16T08:47:23.963304", | ||
| 682 | "lgd_mapping": "yes", | 688 | "lgd_mapping": "yes", | ||
| 683 | "metadata_modified": "2024-09-16T09:51:54.278656", | 689 | "metadata_modified": "2024-09-16T09:51:54.278656", | ||
| 684 | "methodology": "The data collection methodology for the Mission | 690 | "methodology": "The data collection methodology for the Mission | ||
| 685 | Antyodaya Village Basic Facilities dataset involves field surveys | 691 | Antyodaya Village Basic Facilities dataset involves field surveys | ||
| 686 | where enumerators gather information directly from villages using | 692 | where enumerators gather information directly from villages using | ||
| 687 | standardized questionnaires. This is supplemented by data from local | 693 | standardized questionnaires. This is supplemented by data from local | ||
| 688 | government records and administrative reports. Collected data | 694 | government records and administrative reports. Collected data | ||
| 689 | undergoes verification and validation processes to ensure accuracy and | 695 | undergoes verification and validation processes to ensure accuracy and | ||
| 690 | reliability. Information is then aggregated at higher administrative | 696 | reliability. Information is then aggregated at higher administrative | ||
| 691 | levels, creating a comprehensive dataset. Periodic updates are made to | 697 | levels, creating a comprehensive dataset. Periodic updates are made to | ||
| 692 | keep the data current and reflective of ongoing changes and | 698 | keep the data current and reflective of ongoing changes and | ||
| 693 | improvements in village infrastructure and services.", | 699 | improvements in village infrastructure and services.", | ||
| 694 | "mimetype": null, | 700 | "mimetype": null, | ||
| 695 | "mimetype_inner": null, | 701 | "mimetype_inner": null, | ||
| 696 | "name": "Village Level Drinking water", | 702 | "name": "Village Level Drinking water", | ||
| 697 | "no_indicators": "2", | 703 | "no_indicators": "2", | ||
| 698 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 704 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 699 | "position": 7, | 705 | "position": 7, | ||
| 700 | "resource_type": null, | 706 | "resource_type": null, | ||
| 701 | "similar_resources": "", | 707 | "similar_resources": "", | ||
| 702 | "size": 91532576, | 708 | "size": 91532576, | ||
| 703 | "sku": "mord-mission_antyodaya_drinking_water-vl-yr-rrr", | 709 | "sku": "mord-mission_antyodaya_drinking_water-vl-yr-rrr", | ||
| 704 | "state": "active", | 710 | "state": "active", | ||
| 705 | "states_uts_no": "32", | 711 | "states_uts_no": "32", | ||
| 706 | "tehsil_no": "7106", | 712 | "tehsil_no": "7106", | ||
| 707 | "url": | 713 | "url": | ||
| 708 | 1f6-449c-bdaa-1122b975ba32/download/village-level-drinking-water.csv", | 714 | 1f6-449c-bdaa-1122b975ba32/download/village-level-drinking-water.csv", | ||
| 709 | "url_type": "upload", | 715 | "url_type": "upload", | ||
| 710 | "years_covered": "2020.0" | 716 | "years_covered": "2020.0" | ||
| 711 | }, | 717 | }, | ||
| 712 | { | 718 | { | ||
| 713 | "additional_info": "nan", | 719 | "additional_info": "nan", | ||
| 714 | "cache_last_updated": null, | 720 | "cache_last_updated": null, | ||
| 715 | "cache_url": null, | 721 | "cache_url": null, | ||
| 716 | "created": "2024-09-16T09:21:33.827809", | 722 | "created": "2024-09-16T09:21:33.827809", | ||
| 717 | "data_extraction_page": "nan", | 723 | "data_extraction_page": "nan", | ||
| 718 | "data_insights": "The dataset provides valuable insights into | 724 | "data_insights": "The dataset provides valuable insights into | ||
| 719 | housing conditions and government support in rural villages over time. | 725 | housing conditions and government support in rural villages over time. | ||
| 720 | By analyzing columns like hh_kutcha_wall_roof and | 726 | By analyzing columns like hh_kutcha_wall_roof and | ||
| 721 | perct_hh_kutcha_wall_roof, one can assess the prevalence of households | 727 | perct_hh_kutcha_wall_roof, one can assess the prevalence of households | ||
| 722 | with substandard housing (kutcha walls and roofs) in different states, | 728 | with substandard housing (kutcha walls and roofs) in different states, | ||
| 723 | districts, and villages. It also offers data on the reach and | 729 | districts, and villages. It also offers data on the reach and | ||
| 724 | effectiveness of housing schemes, such as PMAY (Pradhan Mantri Awas | 730 | effectiveness of housing schemes, such as PMAY (Pradhan Mantri Awas | ||
| 725 | Yojana) and state housing programs, by tracking the number of | 731 | Yojana) and state housing programs, by tracking the number of | ||
| 726 | households covered under these schemes, those on waiting lists, and | 732 | households covered under these schemes, those on waiting lists, and | ||
| 727 | beneficiaries of any state-specific housing assistance. This enables | 733 | beneficiaries of any state-specific housing assistance. This enables | ||
| 728 | an understanding of housing gaps and the distribution of government | 734 | an understanding of housing gaps and the distribution of government | ||
| 729 | intervention efforts in rural India.", | 735 | intervention efforts in rural India.", | ||
| 730 | "data_last_updated": "13-09-2024", | 736 | "data_last_updated": "13-09-2024", | ||
| 731 | "data_retreival_date": "13-09-2024", | 737 | "data_retreival_date": "13-09-2024", | ||
| 732 | "datastore_active": true, | 738 | "datastore_active": true, | ||
| 733 | "description": "It focuses on assessing housing conditions in | 739 | "description": "It focuses on assessing housing conditions in | ||
| 734 | villages under the Mission Antyodaya initiative, aimed at uplifting | 740 | villages under the Mission Antyodaya initiative, aimed at uplifting | ||
| 735 | the most underprivileged rural communities in India. It provides | 741 | the most underprivileged rural communities in India. It provides | ||
| 736 | detailed insights into housing availability, quality, and | 742 | detailed insights into housing availability, quality, and | ||
| 737 | infrastructure in rural areas, highlighting progress and challenges in | 743 | infrastructure in rural areas, highlighting progress and challenges in | ||
| 738 | achieving better living standards. The report plays a crucial role in | 744 | achieving better living standards. The report plays a crucial role in | ||
| 739 | guiding government policies for rural development and poverty | 745 | guiding government policies for rural development and poverty | ||
| 740 | alleviation, ensuring that essential housing needs are met for all.", | 746 | alleviation, ensuring that essential housing needs are met for all.", | ||
| 741 | "district_no": "711", | 747 | "district_no": "711", | ||
| 742 | "format": "CSV", | 748 | "format": "CSV", | ||
| 743 | "frequency": "Yearly", | 749 | "frequency": "Yearly", | ||
| 744 | "gp_no": "253688", | 750 | "gp_no": "253688", | ||
| 745 | "granularity": "Village", | 751 | "granularity": "Village", | ||
| 746 | "hash": "", | 752 | "hash": "", | ||
| 747 | "id": "893579c3-1ad4-4878-8b85-d5c5e6e972da", | 753 | "id": "893579c3-1ad4-4878-8b85-d5c5e6e972da", | ||
| 748 | "idp_ready": true, | 754 | "idp_ready": true, | ||
| 749 | "indicators": [], | 755 | "indicators": [], | ||
| 750 | "last_modified": "2024-09-16T09:21:33.787632", | 756 | "last_modified": "2024-09-16T09:21:33.787632", | ||
| 751 | "lgd_mapping": "yes", | 757 | "lgd_mapping": "yes", | ||
| 752 | "metadata_modified": "2024-09-16T09:52:24.619409", | 758 | "metadata_modified": "2024-09-16T09:52:24.619409", | ||
| 753 | "methodology": "The data collection methodology for the Mission | 759 | "methodology": "The data collection methodology for the Mission | ||
| 754 | Antyodaya Village Basic Facilities dataset involves field surveys | 760 | Antyodaya Village Basic Facilities dataset involves field surveys | ||
| 755 | where enumerators gather information directly from villages using | 761 | where enumerators gather information directly from villages using | ||
| 756 | standardized questionnaires. This is supplemented by data from local | 762 | standardized questionnaires. This is supplemented by data from local | ||
| 757 | government records and administrative reports. Collected data | 763 | government records and administrative reports. Collected data | ||
| 758 | undergoes verification and validation processes to ensure accuracy and | 764 | undergoes verification and validation processes to ensure accuracy and | ||
| 759 | reliability. Information is then aggregated at higher administrative | 765 | reliability. Information is then aggregated at higher administrative | ||
| 760 | levels, creating a comprehensive dataset. Periodic updates are made to | 766 | levels, creating a comprehensive dataset. Periodic updates are made to | ||
| 761 | keep the data current and reflective of ongoing changes and | 767 | keep the data current and reflective of ongoing changes and | ||
| 762 | improvements in village infrastructure and services.", | 768 | improvements in village infrastructure and services.", | ||
| 763 | "mimetype": null, | 769 | "mimetype": null, | ||
| 764 | "mimetype_inner": null, | 770 | "mimetype_inner": null, | ||
| 765 | "name": "Rural Housing Report", | 771 | "name": "Rural Housing Report", | ||
| 766 | "no_indicators": "6", | 772 | "no_indicators": "6", | ||
| 767 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | 773 | "package_id": "827d5a47-647f-4c00-8b21-a17ea43ce450", | ||
| 768 | "position": 8, | 774 | "position": 8, | ||
| 769 | "resource_type": null, | 775 | "resource_type": null, | ||
| 770 | "similar_resources": "", | 776 | "similar_resources": "", | ||
| 771 | "size": 87654113, | 777 | "size": 87654113, | ||
| 772 | "sku": "mord-mission_antyodaya_rural_housing-vl-gp-rrr", | 778 | "sku": "mord-mission_antyodaya_rural_housing-vl-gp-rrr", | ||
| 773 | "state": "active", | 779 | "state": "active", | ||
| 774 | "states_uts_no": "32", | 780 | "states_uts_no": "32", | ||
| 775 | "tehsil_no": "7106", | 781 | "tehsil_no": "7106", | ||
| 776 | "url": | 782 | "url": | ||
| 777 | 79c3-1ad4-4878-8b85-d5c5e6e972da/download/village-housing-report.csv", | 783 | 79c3-1ad4-4878-8b85-d5c5e6e972da/download/village-housing-report.csv", | ||
| 778 | "url_type": "upload", | 784 | "url_type": "upload", | ||
| 779 | "years_covered": "2020.0" | 785 | "years_covered": "2020.0" | ||
| 780 | } | 786 | } | ||
| 781 | ], | 787 | ], | ||
| 782 | "sector": [ | 788 | "sector": [ | ||
| 783 | "Socio Economic" | 789 | "Socio Economic" | ||
| 784 | ], | 790 | ], | ||
| 785 | "source_name": "Mission Antyodaya Survey 2020", | 791 | "source_name": "Mission Antyodaya Survey 2020", | ||
| 786 | "state": "active", | 792 | "state": "active", | ||
| 787 | "title": "Mission Antyodaya", | 793 | "title": "Mission Antyodaya", | ||
| 788 | "type": "dataset", | 794 | "type": "dataset", | ||
| 789 | "url": | 795 | "url": | ||
| 790 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | 796 | nantyodaya.nic.in/ma2019/preloginStateInfrastructureReports2019.html", | ||
| 791 | "version": null | 797 | "version": null | ||
| 792 | } | 798 | } |