Changes

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On December 19, 2025, 8:08:41 AM UTC, IDP Admin:
Added field geo_columns with value ['state_code'] to resource Census House Condition and Usage in Census Housing
              
    
          
          
        
        
            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_code, state_name,  9       "value": "id, year, state_code, state_name, 
            10 total_no_of_census_houses_rural, grass_thatch_bamboo_wood_mud_rural,  10 total_no_of_census_houses_rural, grass_thatch_bamboo_wood_mud_rural, 
            11 plastic_polythene_rural, hand_made_tiles_rural,  11 plastic_polythene_rural, hand_made_tiles_rural, 
            12 machine_made_tiles_rural, burnt_brick_rural, stone_slate_rural,  12 machine_made_tiles_rural, burnt_brick_rural, stone_slate_rural, 
            13 gi_metal_asbestos_sheet_rural, concrete_rural,  13 gi_metal_asbestos_sheet_rural, concrete_rural, 
            14 any_other_material_rural, total_no_of_households_urban,  14 any_other_material_rural, total_no_of_households_urban, 
            15 grass_thatch_bamboo_wood_mud_urban, plastic_polythene_urban,  15 grass_thatch_bamboo_wood_mud_urban, plastic_polythene_urban, 
            16 hand_made_tiles_urban, machine_made_tiles_urban, burnt_brick_urban,  16 hand_made_tiles_urban, machine_made_tiles_urban, burnt_brick_urban, 
            17 stone_slate_urban, gi_metal_asbestos_sheet_urban, concrete_urban,  17 stone_slate_urban, gi_metal_asbestos_sheet_urban, concrete_urban, 
            18 any_other_material_urban, id, year, state_code, state_name,  18 any_other_material_urban, id, year, state_code, state_name, 
            19 resi_good_rural, resi_livable_rural, resi_dilapidated_rural,  19 resi_good_rural, resi_livable_rural, resi_dilapidated_rural, 
            20 resi_cum_other_use_good_rural, resi_cum_other_use_livable_rural,  20 resi_cum_other_use_good_rural, resi_cum_other_use_livable_rural, 
            21 resi_cum_other_use_dilapidated_rural, resi_good_urban,  21 resi_cum_other_use_dilapidated_rural, resi_good_urban, 
            22 resi_livable_urban, resi_dilapidated_urban,  22 resi_livable_urban, resi_dilapidated_urban, 
            23 resi_cum_other_use_good_urban, resi_cum_other_use_livable_urban,  23 resi_cum_other_use_good_urban, resi_cum_other_use_livable_urban, 
            24 resi_cum_other_use_dilapidated_urban, id, year, state_code,  24 resi_cum_other_use_dilapidated_urban, id, year, state_code, 
            25 state_name, total_no_vac_houses_rural, occup_house_resid_rural,  25 state_name, total_no_vac_houses_rural, occup_house_resid_rural, 
            26 occp_houses_resid_cum_other_rural, occup_house_shop_office_rural,  26 occp_houses_resid_cum_other_rural, occup_house_shop_office_rural, 
            27 occup_house_school_college_rural, occup_house_hotel_lodge_rural,  27 occup_house_school_college_rural, occup_house_hotel_lodge_rural, 
            28 occup_house_hosp_rural, occup_houses_fact_rural,  28 occup_house_hosp_rural, occup_houses_fact_rural, 
            29 occp_house_worship_rural, occup_houses_other_rural,  29 occp_house_worship_rural, occup_houses_other_rural, 
            30 no_locked_census_house_rural, total_no_vac_houses_urban,  30 no_locked_census_house_rural, total_no_vac_houses_urban, 
            31 occup_house_resid_urban, occp_houses_resid_cum_other_urban,  31 occup_house_resid_urban, occp_houses_resid_cum_other_urban, 
            32 occup_house_shop_office_urban, occup_house_school_college_urban,  32 occup_house_shop_office_urban, occup_house_school_college_urban, 
            33 occup_house_hotel_lodge_urban, occup_house_hosp_urban,  33 occup_house_hotel_lodge_urban, occup_house_hosp_urban, 
            34 occup_houses_fact_urban, occp_house_worship_urban,  34 occup_houses_fact_urban, occp_house_worship_urban, 
            35 occup_houses_other_urban, no_locked_census_house_urban, id, year,  35 occup_houses_other_urban, no_locked_census_house_urban, id, year, 
            36 state_code, state_name, total_no_vac_houses_rural,  36 state_code, state_name, total_no_vac_houses_rural, 
            37 occup_house_resid_rural, occp_houses_resid_cum_other_rural,  37 occup_house_resid_rural, occp_houses_resid_cum_other_rural, 
            38 occup_house_shop_office_rural, occup_house_school_college_rural,  38 occup_house_shop_office_rural, occup_house_school_college_rural, 
            39 occup_house_hotel_lodge_rural, occup_house_hosp_rural,  39 occup_house_hotel_lodge_rural, occup_house_hosp_rural, 
            40 occup_houses_fact_rural, occp_house_worship_rural,  40 occup_houses_fact_rural, occp_house_worship_rural, 
            41 occup_houses_other_rural, no_locked_census_house_rural,  41 occup_houses_other_rural, no_locked_census_house_rural, 
            42 total_no_vac_houses_urban, occup_house_resid_urban,  42 total_no_vac_houses_urban, occup_house_resid_urban, 
            43 occp_houses_resid_cum_other_urban, occup_house_shop_office_urban,  43 occp_houses_resid_cum_other_urban, occup_house_shop_office_urban, 
            44 occup_house_school_college_urban, occup_house_hotel_lodge_urban,  44 occup_house_school_college_urban, occup_house_hotel_lodge_urban, 
            45 occup_house_hosp_urban, occup_houses_fact_urban,  45 occup_house_hosp_urban, occup_houses_fact_urban, 
            46 occp_house_worship_urban, occup_houses_other_urban,  46 occp_house_worship_urban, occup_houses_other_urban, 
            47 no_locked_census_house_urban, id, census_year, state_name, state_code,  47 no_locked_census_house_urban, id, census_year, state_name, state_code, 
            48 district_name, district_code, hh_category, cond_house_all_total,  48 district_name, district_code, hh_category, cond_house_all_total, 
            49 cond_house_all_good, cond_house_all_livable,  49 cond_house_all_good, cond_house_all_livable, 
            50 cond_house_all_delapidated, cond_house_res_total, cond_house_res_good,  50 cond_house_all_delapidated, cond_house_res_total, cond_house_res_good, 
            51 cond_house_res_livable, cond_house_res_delapidated,  51 cond_house_res_livable, cond_house_res_delapidated, 
            52 cond_house_res_oth_total, cond_house_res_oth_good,  52 cond_house_res_oth_total, cond_house_res_oth_good, 
            53 cond_house_res_oth_livable, cond_house_res_oth_delapidated, mor_grass,  53 cond_house_res_oth_livable, cond_house_res_oth_delapidated, mor_grass, 
            54 mor_plastic, mor_hand_tiles, mor_machine_tiles, mor_burnt_brick,  54 mor_plastic, mor_hand_tiles, mor_machine_tiles, mor_burnt_brick, 
            55 mor_stone_slate, mor_gi_metal, mor_concrete, mor_oth, mow_grass,  55 mor_stone_slate, mor_gi_metal, mor_concrete, mor_oth, mow_grass, 
            56 mow_plastic, mow_mud, mow_wood, mow_stone_unpack, mow_stone_pack,  56 mow_plastic, mow_mud, mow_wood, mow_stone_unpack, mow_stone_pack, 
            57 mow_gi_metal, mow_burnt_brick, mow_concrete, mow_oth, mof_mud,  57 mow_gi_metal, mow_burnt_brick, mow_concrete, mow_oth, mof_mud, 
            58 mof_wood, mof_burnt_brick, mof_stone, mof_cement, mof_mosaic, mof_oth,  58 mof_wood, mof_burnt_brick, mof_stone, mof_cement, mof_mosaic, mof_oth, 
            59 none_dwell_room, one_dwell_room, two_dwell_room, three_dwell_room,  59 none_dwell_room, one_dwell_room, two_dwell_room, three_dwell_room, 
            60 four_dwell_room, five_dwell_room, six_above_dwell_room, hh_size_one,  60 four_dwell_room, five_dwell_room, six_above_dwell_room, hh_size_one, 
            61 hh_size_two, hh_size_three, hh_size_four, hh_size_five,  61 hh_size_two, hh_size_three, hh_size_four, hh_size_five, 
            62 hh_size_six_eight, hh_size_nine_plus, h_owned, h_rented, h_any_others,  62 hh_size_six_eight, hh_size_nine_plus, h_owned, h_rented, h_any_others, 
            63 mc_none, mc_one, mc_two, mc_three, mc_four, mc_five_plus,  63 mc_none, mc_one, mc_two, mc_three, mc_four, mc_five_plus, 
            64 sdw_tap_treated, sdw_tap_untreated, sdw_covered_well,  64 sdw_tap_treated, sdw_tap_untreated, sdw_covered_well, 
            65 sdw_uncovered_well, sdw_handpump, sdw_tube_bore, sdw_spring,  65 sdw_uncovered_well, sdw_handpump, sdw_tube_bore, sdw_spring, 
            66 sdw_river, sdw_tank, sdw_others, idw_within_premise, idw_near_premise,  66 sdw_river, sdw_tank, sdw_others, idw_within_premise, idw_near_premise, 
            67 idw_away_premise, sl_electricity, sl_kerosine, sl_solar, sl_other_oil,  67 idw_away_premise, sl_electricity, sl_kerosine, sl_solar, sl_other_oil, 
            68 sl_any_other, no_light, hhs_lf_within_premise, fl_sewer_piped,  68 sl_any_other, no_light, hhs_lf_within_premise, fl_sewer_piped, 
            69 fl_septic, fl_other, pl_slab, pl_no_slab, soil_disp_open_drain,  69 fl_septic, fl_other, pl_slab, pl_no_slab, soil_disp_open_drain, 
            70 sl_ns_rem_human, sl_ns_rem_animal, hhs_lf_outside_premise, public_l,  70 sl_ns_rem_human, sl_ns_rem_animal, hhs_lf_outside_premise, public_l, 
            71 open_l, hhs_bath_f, hhs_bath_noroof, hhs_no_bath_f,  71 open_l, hhs_bath_f, hhs_bath_noroof, hhs_no_bath_f, 
            72 wwo_close_drainage, wwo_open_drainage, wwo_no_drainage, fc_firewood,  72 wwo_close_drainage, wwo_open_drainage, wwo_no_drainage, fc_firewood, 
            73 fc_crop_residue, fc_cowdung, fc_coal_types, fc_kerosone, fc_lpg,  73 fc_crop_residue, fc_cowdung, fc_coal_types, fc_kerosone, fc_lpg, 
            74 fc_electricity, fc_biogas, fc_other, fc_no_cooking, kf_total,  74 fc_electricity, fc_biogas, fc_other, fc_no_cooking, kf_total, 
            75 kf_inside_house, kf_has_i_k, kf_no_i_k, kf_outside_house, kf_has_o_k,  75 kf_inside_house, kf_has_i_k, kf_no_i_k, kf_outside_house, kf_has_o_k, 
            76 kf_no_o_k, kf_no_cooking, hhs_bank_services, aa_radio, aa_tv,  76 kf_no_o_k, kf_no_cooking, hhs_bank_services, aa_radio, aa_tv, 
            77 aa_comp_int, aa_comp_no_int, aa_ll, aa_mobile, aa_ll_mobile,  77 aa_comp_int, aa_comp_no_int, aa_ll, aa_mobile, aa_ll_mobile, 
            78 aa_bicycle, aa_scooter, aa_car, aa_tv_c_ph_car, aa_none,  78 aa_bicycle, aa_scooter, aa_car, aa_tv_c_ph_car, aa_none, 
            79 tot_cen_house, tot_vacant_cen_house, tot_occup_cen_house, occup_res,  79 tot_cen_house, tot_vacant_cen_house, tot_occup_cen_house, occup_res, 
            80 occup_res_cum_otheruse, occup_shop_off, occup_sch_coll,  80 occup_res_cum_otheruse, occup_shop_off, occup_sch_coll, 
            81 occup_hot_lodg_guesthoose, occup_hosp_dispen,  81 occup_hot_lodg_guesthoose, occup_hosp_dispen, 
            82 occup_fact_workshop_workshed, occup_worship_place,  82 occup_fact_workshop_workshed, occup_worship_place, 
            83 occup_oth_non_residen, occup_lockd_cen_house" 83 occup_oth_non_residen, occup_lockd_cen_house"
            84     } 84     }
            85   ], 85   ],
            86   "groups": [], 86   "groups": [],
            87   "id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17", 87   "id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            88   "isopen": true, 88   "isopen": true,
            89   "license_id": "odc-by", 89   "license_id": "odc-by",
            90   "license_title": "Open Data Commons Attribution License", 90   "license_title": "Open Data Commons Attribution License",
            91   "license_url": "http://www.opendefinition.org/licenses/odc-by", 91   "license_url": "http://www.opendefinition.org/licenses/odc-by",
            92   "maintainer": null, 92   "maintainer": null,
            93   "maintainer_email": null, 93   "maintainer_email": null,
            94   "metadata_created": "2023-10-07T09:13:07.703532", 94   "metadata_created": "2023-10-07T09:13:07.703532",
            n 95   "metadata_modified": "2025-12-19T08:08:40.254003", n 95   "metadata_modified": "2025-12-19T08:08:41.613571",
            96   "methodology": "", 96   "methodology": "",
            97   "name": "census-housing", 97   "name": "census-housing",
            98   "notes": "India's census housing datasets offer a deep dive into the  98   "notes": "India's census housing datasets offer a deep dive into the 
            99 nation's living conditions. They classify dwellings by type and  99 nation's living conditions. They classify dwellings by type and 
            100 construction material, shedding light on construction quality. The  100 construction material, shedding light on construction quality. The 
            101 data also details ownership versus tenancy and essential amenities  101 data also details ownership versus tenancy and essential amenities 
            102 like water and electricity. Insights into housing size and special  102 like water and electricity. Insights into housing size and special 
            103 housing types, such as hostels, further enrich the picture. These  103 housing types, such as hostels, further enrich the picture. These 
            104 datasets are invaluable for understanding and addressing India's  104 datasets are invaluable for understanding and addressing India's 
            105 diverse housing needs.", 105 diverse housing needs.",
            106   "num_resources": 5, 106   "num_resources": 5,
            107   "num_tags": 4, 107   "num_tags": 4,
            108   "organization": { 108   "organization": {
            109     "approval_status": "approved", 109     "approval_status": "approved",
            110     "created": "2022-12-05T03:44:54.080358", 110     "created": "2022-12-05T03:44:54.080358",
            111     "description": "", 111     "description": "",
            112     "id": "94317457-d297-4549-9640-7865034682c5", 112     "id": "94317457-d297-4549-9640-7865034682c5",
            113     "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png", 113     "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            114     "is_organization": true, 114     "is_organization": true,
            115     "name": "idp-organization", 115     "name": "idp-organization",
            116     "state": "active", 116     "state": "active",
            117     "title": "IDP organization", 117     "title": "IDP organization",
            118     "type": "organization" 118     "type": "organization"
            119   }, 119   },
            120   "owner_org": "94317457-d297-4549-9640-7865034682c5", 120   "owner_org": "94317457-d297-4549-9640-7865034682c5",
            121   "private": false, 121   "private": false,
            122   "relationships_as_object": [], 122   "relationships_as_object": [],
            123   "relationships_as_subject": [], 123   "relationships_as_subject": [],
            124   "resources": [ 124   "resources": [
            125     { 125     {
            126       "additional_info": "nan", 126       "additional_info": "nan",
            127       "cache_last_updated": null, 127       "cache_last_updated": null,
            128       "cache_url": null, 128       "cache_url": null,
            129       "created": "2023-10-07T09:36:20.403712", 129       "created": "2023-10-07T09:36:20.403712",
            130       "data_extraction_page": "H-03 B: Census houses by predominant  130       "data_extraction_page": "H-03 B: Census houses by predominant 
            131 material of the walls (excluding locked/vacant houses)", 131 material of the walls (excluding locked/vacant houses)",
            132       "data_insights": " Data Insights that can be drawn:Comparison of  132       "data_insights": " Data Insights that can be drawn:Comparison of 
            133 predominant wall materials used in rural vs. urban regions of  133 predominant wall materials used in rural vs. urban regions of 
            134 individual states.Trend analysis of wall materials over the years, to  134 individual states.Trend analysis of wall materials over the years, to 
            135 observe any shifts in construction preferences.Identifying states with  135 observe any shifts in construction preferences.Identifying states with 
            136 higher usage of certain materials which may indicate regional  136 higher usage of certain materials which may indicate regional 
            137 abundance or lack thereof.Analysis of how the modernization of  137 abundance or lack thereof.Analysis of how the modernization of 
            138 construction practices is taking place across rural and urban  138 construction practices is taking place across rural and urban 
            139 areas.Observing any correlation between the type of wall material and  139 areas.Observing any correlation between the type of wall material and 
            140 state's economic, geographical, or climatic factors.", 140 state's economic, geographical, or climatic factors.",
            141       "data_last_updated": "2011", 141       "data_last_updated": "2011",
            142       "data_retreival_date": "6/23/2022", 142       "data_retreival_date": "6/23/2022",
            143       "datastore_active": true, 143       "datastore_active": true,
            144       "description": "The dataset provides information on the  144       "description": "The dataset provides information on the 
            145 predominant material used for constructing walls in census houses  145 predominant material used for constructing walls in census houses 
            146 across various states of India. The data is bifurcated between rural  146 across various states of India. The data is bifurcated between rural 
            147 and urban areas, offering insights into regional construction  147 and urban areas, offering insights into regional construction 
            148 preferences and infrastructure quality.", 148 preferences and infrastructure quality.",
            149       "district_no": "", 149       "district_no": "",
            150       "format": "CSV", 150       "format": "CSV",
            151       "frequency": "Decadal", 151       "frequency": "Decadal",
            152       "geo_columns": [ 152       "geo_columns": [
            153         "state_code" 153         "state_code"
            154       ], 154       ],
            155       "gp_no": "", 155       "gp_no": "",
            156       "granularity": "State", 156       "granularity": "State",
            157       "hash": "", 157       "hash": "",
            158       "id": "c772874c-1305-45ee-bf09-f488c2ef85d2", 158       "id": "c772874c-1305-45ee-bf09-f488c2ef85d2",
            159       "idp_ready": true, 159       "idp_ready": true,
            160       "last_modified": "2023-10-07T09:36:20.282173", 160       "last_modified": "2023-10-07T09:36:20.282173",
            161       "lgd_mapping": "yes", 161       "lgd_mapping": "yes",
            162       "metadata_modified": "2025-12-19T08:08:40.259027", 162       "metadata_modified": "2025-12-19T08:08:40.259027",
            163       "methodology": "The data has been sourced from the official  163       "methodology": "The data has been sourced from the official 
            164 Census of India website, which conducts a detailed enumeration of the  164 Census of India website, which conducts a detailed enumeration of the 
            165 country's population and their living conditions once every decade.  165 country's population and their living conditions once every decade. 
            166 The dataset is likely based on survey responses from households across  166 The dataset is likely based on survey responses from households across 
            167 the nation, which is then aggregated at the state level for  167 the nation, which is then aggregated at the state level for 
            168 presentation.", 168 presentation.",
            169       "mimetype": "", 169       "mimetype": "",
            170       "mimetype_inner": null, 170       "mimetype_inner": null,
            171       "name": "Census House Wall Material", 171       "name": "Census House Wall Material",
            172       "no_indicators": "20", 172       "no_indicators": "20",
            173       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17", 173       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            174       "position": 0, 174       "position": 0,
            175       "resource_type": null, 175       "resource_type": null,
            176       "similar_datasets": "", 176       "similar_datasets": "",
            177       "size": 5664, 177       "size": 5664,
            178       "sku": "moha-census_houses_by_wall_material-st-dc-aaa", 178       "sku": "moha-census_houses_by_wall_material-st-dc-aaa",
            179       "state": "active", 179       "state": "active",
            180       "states_uts_no": "35", 180       "states_uts_no": "35",
            181       "tags": "", 181       "tags": "",
            182       "tehsil_no": "", 182       "tehsil_no": "",
            183       "url":  183       "url": 
            184 -1305-45ee-bf09-f488c2ef85d2/download/census-house-wall-material.csv", 184 -1305-45ee-bf09-f488c2ef85d2/download/census-house-wall-material.csv",
            185       "url_type": "upload", 185       "url_type": "upload",
            186       "village_no": "", 186       "village_no": "",
            187       "years_covered": "2011.0" 187       "years_covered": "2011.0"
            188     }, 188     },
            189     { 189     {
            190       "additional_info": "", 190       "additional_info": "",
            191       "cache_last_updated": null, 191       "cache_last_updated": null,
            192       "cache_url": null, 192       "cache_url": null,
            193       "created": "2023-10-07T10:00:05.248094", 193       "created": "2023-10-07T10:00:05.248094",
            194       "data_extraction_page": "H-02: Census houses used as residence  194       "data_extraction_page": "H-02: Census houses used as residence 
            195 and residence-cum-other use by condition", 195 and residence-cum-other use by condition",
            196       "data_insights": "Data Insights that can be drawn:Comparison of  196       "data_insights": "Data Insights that can be drawn:Comparison of 
            197 housing conditions across different states.Urban vs. Rural disparities  197 housing conditions across different states.Urban vs. Rural disparities 
            198 in housing conditions.Percentage of houses in dilapidated condition in  198 in housing conditions.Percentage of houses in dilapidated condition in 
            199 urban versus rural areas.States with the most \"Good\" condition  199 urban versus rural areas.States with the most \"Good\" condition 
            200 houses in urban and rural settings.Insights into the number of houses  200 houses in urban and rural settings.Insights into the number of houses 
            201 used for both residential and other purposes and their  201 used for both residential and other purposes and their 
            202 conditions.Trends over the years regarding the condition of houses,  202 conditions.Trends over the years regarding the condition of houses, 
            203 especially if multiple years are present in the dataset.", 203 especially if multiple years are present in the dataset.",
            204       "data_last_updated": "2011", 204       "data_last_updated": "2011",
            205       "data_retreival_date": "2022-06-23 00:00:00", 205       "data_retreival_date": "2022-06-23 00:00:00",
            206       "datastore_active": true, 206       "datastore_active": true,
            207       "description": "This dataset contain data from the Indian Census  207       "description": "This dataset contain data from the Indian Census 
            208 of 2011. It provides information on the condition of rural and urban  208 of 2011. It provides information on the condition of rural and urban 
            209 residential dwellings in each state and union territory of India.", 209 residential dwellings in each state and union territory of India.",
            210       "district_no": "", 210       "district_no": "",
            211       "format": "CSV", 211       "format": "CSV",
            212       "frequency": "Decadal", 212       "frequency": "Decadal",
            n n 213       "geo_columns": [
            214         "state_code"
            215       ],
            213       "gp_no": "", 216       "gp_no": "",
            214       "granularity": "State", 217       "granularity": "State",
            215       "hash": "", 218       "hash": "",
            216       "id": "213706cf-3668-419f-860b-d659137ebdf6", 219       "id": "213706cf-3668-419f-860b-d659137ebdf6",
            217       "idp_ready": true, 220       "idp_ready": true,
            218       "last_modified": "2023-10-07T10:00:05.149957", 221       "last_modified": "2023-10-07T10:00:05.149957",
            219       "lgd_mapping": "yes", 222       "lgd_mapping": "yes",
            t 220       "metadata_modified": "2024-08-22T10:11:51.190912", t 223       "metadata_modified": "2025-12-19T08:08:41.618522",
            221       "methodology": "This dataset represents the condition of census  224       "methodology": "This dataset represents the condition of census 
            222 houses utilized as residences and as both residences and other uses,  225 houses utilized as residences and as both residences and other uses, 
            223 across urban and rural regions of different states in India. The  226 across urban and rural regions of different states in India. The 
            224 conditions are categorized into \"Good\", \"Livable\", and  227 conditions are categorized into \"Good\", \"Livable\", and 
            225 \"Dilapidated\". It offers a nuanced view of housing conditions and  228 \"Dilapidated\". It offers a nuanced view of housing conditions and 
            226 multi-use housing situations in different parts of the country.", 229 multi-use housing situations in different parts of the country.",
            227       "mimetype": "", 230       "mimetype": "",
            228       "mimetype_inner": null, 231       "mimetype_inner": null,
            229       "name": "Census House Condition and Usage", 232       "name": "Census House Condition and Usage",
            230       "no_indicators": "12", 233       "no_indicators": "12",
            231       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17", 234       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            232       "position": 1, 235       "position": 1,
            233       "resource_type": null, 236       "resource_type": null,
            234       "similar_datasets": "", 237       "similar_datasets": "",
            235       "size": 3689, 238       "size": 3689,
            236       "sku": "moha-census_houses_by_residential_use-st-dc-aaa", 239       "sku": "moha-census_houses_by_residential_use-st-dc-aaa",
            237       "state": "active", 240       "state": "active",
            238       "states_uts_no": "35", 241       "states_uts_no": "35",
            239       "tags": "", 242       "tags": "",
            240       "tehsil_no": "", 243       "tehsil_no": "",
            241       "url":  244       "url": 
            242 419f-860b-d659137ebdf6/download/census-house-condition-and-usage.csv", 245 419f-860b-d659137ebdf6/download/census-house-condition-and-usage.csv",
            243       "url_type": "upload", 246       "url_type": "upload",
            244       "village_no": "", 247       "village_no": "",
            245       "years_covered": "2011" 248       "years_covered": "2011"
            246     }, 249     },
            247     { 250     {
            248       "additional_info": "Table : H-03 C: Census houses by predominant  251       "additional_info": "Table : H-03 C: Census houses by predominant 
            249 material of the floor (excluding locked/vacant houses)", 252 material of the floor (excluding locked/vacant houses)",
            250       "cache_last_updated": null, 253       "cache_last_updated": null,
            251       "cache_url": null, 254       "cache_url": null,
            252       "created": "2023-10-08T09:20:59.732769", 255       "created": "2023-10-08T09:20:59.732769",
            253       "data_extraction_page":  256       "data_extraction_page": 
            254 "https://censusindia.gov.in/census.website/data/census-tables", 257 "https://censusindia.gov.in/census.website/data/census-tables",
            255       "data_insights": "Data Insights that can be drawn:\nRegional  258       "data_insights": "Data Insights that can be drawn:\nRegional 
            256 preferences in floor materials between rural and urban areas.\nTrend  259 preferences in floor materials between rural and urban areas.\nTrend 
            257 analysis to see the evolution of floor material preferences over the  260 analysis to see the evolution of floor material preferences over the 
            258 years.\nState-wise adoption of modern floor materials like  261 years.\nState-wise adoption of modern floor materials like 
            259 machine-made tiles, plastic, or concrete.\nPotential correlations  262 machine-made tiles, plastic, or concrete.\nPotential correlations 
            260 between the development of a state and its urban floor material  263 between the development of a state and its urban floor material 
            261 choices.\nThe dominance of traditional floor materials like grass,  264 choices.\nThe dominance of traditional floor materials like grass, 
            262 thatch, bamboo, or wood in certain regions.\nThe state-by-state  265 thatch, bamboo, or wood in certain regions.\nThe state-by-state 
            263 percentage of houses that use unconventional or rare materials.", 266 percentage of houses that use unconventional or rare materials.",
            264       "data_last_updated": "2011", 267       "data_last_updated": "2011",
            265       "data_retreival_date": "6/23/2022", 268       "data_retreival_date": "6/23/2022",
            266       "datastore_active": true, 269       "datastore_active": true,
            267       "description": "The \"Census House floor material\" provides  270       "description": "The \"Census House floor material\" provides 
            268 detailed information about the types of floor materials used in census  271 detailed information about the types of floor materials used in census 
            269 houses across different states in India, divided into rural and urban  272 houses across different states in India, divided into rural and urban 
            270 regions. It offers insights into the varied materials people use in  273 regions. It offers insights into the varied materials people use in 
            271 different environments and how these choices change over time.", 274 different environments and how these choices change over time.",
            272       "district_no": "", 275       "district_no": "",
            273       "format": "CSV", 276       "format": "CSV",
            274       "frequency": "Decadal", 277       "frequency": "Decadal",
            275       "gp_no": "", 278       "gp_no": "",
            276       "granularity": "State", 279       "granularity": "State",
            277       "hash": "", 280       "hash": "",
            278       "id": "84e920c3-f4d9-4392-b65b-8a901ac668df", 281       "id": "84e920c3-f4d9-4392-b65b-8a901ac668df",
            279       "idp_ready": true, 282       "idp_ready": true,
            280       "last_modified": "2024-09-23T08:06:48.337766", 283       "last_modified": "2024-09-23T08:06:48.337766",
            281       "lgd_mapping": "yes", 284       "lgd_mapping": "yes",
            282       "metadata_modified": "2024-09-23T08:06:50.487270", 285       "metadata_modified": "2024-09-23T08:06:50.487270",
            283       "methodology": "The data has been sourced from the official  286       "methodology": "The data has been sourced from the official 
            284 Census of India website, which conducts a detailed enumeration of the  287 Census of India website, which conducts a detailed enumeration of the 
            285 country's population and their living conditions once every decade.  288 country's population and their living conditions once every decade. 
            286 The dataset is likely based on survey responses from households across  289 The dataset is likely based on survey responses from households across 
            287 the nation, which is then aggregated at the state level for  290 the nation, which is then aggregated at the state level for 
            288 presentation.", 291 presentation.",
            289       "mimetype": "text/csv", 292       "mimetype": "text/csv",
            290       "mimetype_inner": null, 293       "mimetype_inner": null,
            291       "name": "Census House Floor Material", 294       "name": "Census House Floor Material",
            292       "no_indicators": "24", 295       "no_indicators": "24",
            293       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17", 296       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            294       "position": 2, 297       "position": 2,
            295       "resource_type": null, 298       "resource_type": null,
            296       "similar_datasets": [], 299       "similar_datasets": [],
            297       "size": 8792, 300       "size": 8792,
            298       "sku": "moha-census_houses_by_floor_material-st-dc-aaa", 301       "sku": "moha-census_houses_by_floor_material-st-dc-aaa",
            299       "state": "active", 302       "state": "active",
            300       "states_uts_no": "35", 303       "states_uts_no": "35",
            301       "tags": [ 304       "tags": [
            302         "India Census", 305         "India Census",
            303         "House construction", 306         "House construction",
            304         "Floor materials", 307         "Floor materials",
            305         "Rural vs Urban", 308         "Rural vs Urban",
            306         "Housing trends" 309         "Housing trends"
            307       ], 310       ],
            308       "tehsil_no": "", 311       "tehsil_no": "",
            309       "url":  312       "url": 
            310 f4d9-4392-b65b-8a901ac668df/download/census-house-floor-material.csv", 313 f4d9-4392-b65b-8a901ac668df/download/census-house-floor-material.csv",
            311       "url_type": "upload", 314       "url_type": "upload",
            312       "village_no": "", 315       "village_no": "",
            313       "years_covered": "2011" 316       "years_covered": "2011"
            314     }, 317     },
            315     { 318     {
            316       "additional_info": "", 319       "additional_info": "",
            317       "cache_last_updated": null, 320       "cache_last_updated": null,
            318       "cache_url": null, 321       "cache_url": null,
            319       "created": "2023-10-08T09:28:36.250289", 322       "created": "2023-10-08T09:28:36.250289",
            320       "data_extraction_page": "H-01: Census houses and the uses to  323       "data_extraction_page": "H-01: Census houses and the uses to 
            321 which they are put", 324 which they are put",
            322       "data_insights": "Data Insights that can be drawn:State-wise  325       "data_insights": "Data Insights that can be drawn:State-wise 
            323 distribution of vacant houses in both rural and urban areas.State-wise  326 distribution of vacant houses in both rural and urban areas.State-wise 
            324 breakdown of houses based on their primary use in both urban and rural  327 breakdown of houses based on their primary use in both urban and rural 
            325 settings.Analysis of houses that are locked and potentially not in  328 settings.Analysis of houses that are locked and potentially not in 
            326 use.Comparative analysis of the number of houses used for commercial  329 use.Comparative analysis of the number of houses used for commercial 
            327 purposes versus those used for residential purposes.Insights into  330 purposes versus those used for residential purposes.Insights into 
            328 infrastructure development, e.g., the number of houses used as schools  331 infrastructure development, e.g., the number of houses used as schools 
            329 or hospitals, which can give an idea about the educational and health  332 or hospitals, which can give an idea about the educational and health 
            330 infrastructure of a region.Patterns of house utilization across  333 infrastructure of a region.Patterns of house utilization across 
            331 different states and years, potentially revealing urbanization trends  334 different states and years, potentially revealing urbanization trends 
            332 or migration patterns.", 335 or migration patterns.",
            333       "data_last_updated": "2011", 336       "data_last_updated": "2011",
            334       "data_retreival_date": "6/23/2022", 337       "data_retreival_date": "6/23/2022",
            335       "datastore_active": true, 338       "datastore_active": true,
            336       "description": "The dataset \"Census houses and the uses to  339       "description": "The dataset \"Census houses and the uses to 
            337 which they are put\" has been sourced from the official Census of  340 which they are put\" has been sourced from the official Census of 
            338 India website. It primarily focuses on the number and purpose of  341 India website. It primarily focuses on the number and purpose of 
            339 census houses across different states in India, differentiating  342 census houses across different states in India, differentiating 
            340 between rural and urban settings. The dataset tracks the use of each  343 between rural and urban settings. The dataset tracks the use of each 
            341 house, such as for residential purposes, commercial (like shops or  344 house, such as for residential purposes, commercial (like shops or 
            342 offices), educational institutions, hotels or lodges, hospitals,  345 offices), educational institutions, hotels or lodges, hospitals, 
            343 factories, places of worship, or other non-residential purposes.  346 factories, places of worship, or other non-residential purposes. 
            344 Additionally, the dataset also provides information on the number of  347 Additionally, the dataset also provides information on the number of 
            345 locked houses and vacant houses in both urban and rural areas.", 348 locked houses and vacant houses in both urban and rural areas.",
            346       "district_no": "", 349       "district_no": "",
            347       "format": "CSV", 350       "format": "CSV",
            348       "frequency": "Decadal", 351       "frequency": "Decadal",
            349       "gp_no": "", 352       "gp_no": "",
            350       "granularity": "State", 353       "granularity": "State",
            351       "hash": "", 354       "hash": "",
            352       "id": "d7f13f0d-dc00-4250-bde0-4f91bec4d536", 355       "id": "d7f13f0d-dc00-4250-bde0-4f91bec4d536",
            353       "idp_ready": true, 356       "idp_ready": true,
            354       "last_modified": "2023-10-08T09:28:36.227251", 357       "last_modified": "2023-10-08T09:28:36.227251",
            355       "lgd_mapping": "yes", 358       "lgd_mapping": "yes",
            356       "metadata_modified": "2024-08-22T10:11:52.250988", 359       "metadata_modified": "2024-08-22T10:11:52.250988",
            357       "methodology": "The data is collected as a part of the official  360       "methodology": "The data is collected as a part of the official 
            358 Census process, which is carried out once every decade. Enumerators  361 Census process, which is carried out once every decade. Enumerators 
            359 visit every house in their designated area and collect data through a  362 visit every house in their designated area and collect data through a 
            360 predefined questionnaire. This information is then aggregated at the  363 predefined questionnaire. This information is then aggregated at the 
            361 state and national levels. The data is segmented between urban and  364 state and national levels. The data is segmented between urban and 
            362 rural areas to understand the varying patterns of housing utilization  365 rural areas to understand the varying patterns of housing utilization 
            363 across different environments.", 366 across different environments.",
            364       "mimetype": "", 367       "mimetype": "",
            365       "mimetype_inner": null, 368       "mimetype_inner": null,
            366       "name": "Census House Utilization", 369       "name": "Census House Utilization",
            367       "no_indicators": "22", 370       "no_indicators": "22",
            368       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17", 371       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            369       "position": 3, 372       "position": 3,
            370       "resource_type": null, 373       "resource_type": null,
            371       "similar_datasets": "", 374       "similar_datasets": "",
            372       "size": 7986, 375       "size": 7986,
            373       "sku": "moha-census_houses_by_uses-st-dc-aaa", 376       "sku": "moha-census_houses_by_uses-st-dc-aaa",
            374       "state": "active", 377       "state": "active",
            375       "states_uts_no": "35", 378       "states_uts_no": "35",
            376       "tags": "", 379       "tags": "",
            377       "tehsil_no": "", 380       "tehsil_no": "",
            378       "url":  381       "url": 
            379 0d-dc00-4250-bde0-4f91bec4d536/download/census-house-utilization.csv", 382 0d-dc00-4250-bde0-4f91bec4d536/download/census-house-utilization.csv",
            380       "url_type": "upload", 383       "url_type": "upload",
            381       "village_no": "", 384       "village_no": "",
            382       "years_covered": "2011" 385       "years_covered": "2011"
            383     }, 386     },
            384     { 387     {
            385       "additional_info": "nan", 388       "additional_info": "nan",
            386       "cache_last_updated": null, 389       "cache_last_updated": null,
            387       "cache_url": null, 390       "cache_url": null,
            388       "created": "2023-10-29T13:19:03.435691", 391       "created": "2023-10-29T13:19:03.435691",
            389       "data_extraction_page":  392       "data_extraction_page": 
            390 "https://censusindia.gov.in/DigitalLibrary/TablesSeries2001.aspx", 393 "https://censusindia.gov.in/DigitalLibrary/TablesSeries2001.aspx",
            391       "data_insights": "Data Insights that can be drawn:Geographical  394       "data_insights": "Data Insights that can be drawn:Geographical 
            392 Distribution: Allows for regional comparisons at the state and  395 Distribution: Allows for regional comparisons at the state and 
            393 district levels.Household Condition: Insight into the condition of  396 district levels.Household Condition: Insight into the condition of 
            394 households, ranging from good to dilapidated.Material Used: Provides a  397 households, ranging from good to dilapidated.Material Used: Provides a 
            395 view on the materials predominantly used for construction in different  398 view on the materials predominantly used for construction in different 
            396 regions.Household Amenities: Captures availability of facilities such  399 regions.Household Amenities: Captures availability of facilities such 
            397 as drinking water, source of light, cooking facilities, sanitation,  400 as drinking water, source of light, cooking facilities, sanitation, 
            398 etc.Household Assets: Insights into the prevalence of assets like TV,  401 etc.Household Assets: Insights into the prevalence of assets like TV, 
            399 radio, computers, and vehicles among households.Household Size &  402 radio, computers, and vehicles among households.Household Size & 
            400 Structure: Information on the number of rooms, household size, and  403 Structure: Information on the number of rooms, household size, and 
            401 ownership status.Banking & Technology: Indicators on banking services  404 ownership status.Banking & Technology: Indicators on banking services 
            402 and tech amenities within households.", 405 and tech amenities within households.",
            403       "data_last_updated": "2011", 406       "data_last_updated": "2011",
            404       "data_retreival_date": "2020-21", 407       "data_retreival_date": "2020-21",
            405       "datastore_active": true, 408       "datastore_active": true,
            406       "description": "The dataset captures detailed information on  409       "description": "The dataset captures detailed information on 
            407 household amenities across different states and districts of India,  410 household amenities across different states and districts of India, 
            408 including household conditions, materials used in construction,  411 including household conditions, materials used in construction, 
            409 availability of facilities and services, and household assets.", 412 availability of facilities and services, and household assets.",
            410       "district_no": "640", 413       "district_no": "640",
            411       "format": "CSV", 414       "format": "CSV",
            412       "frequency": "Decadal", 415       "frequency": "Decadal",
            413       "gp_no": "", 416       "gp_no": "",
            414       "granularity": "District", 417       "granularity": "District",
            415       "hash": "", 418       "hash": "",
            416       "id": "77f1ec00-8cd5-4df3-bbfe-029c73610754", 419       "id": "77f1ec00-8cd5-4df3-bbfe-029c73610754",
            417       "idp_ready": true, 420       "idp_ready": true,
            418       "indicators": [], 421       "indicators": [],
            419       "last_modified": "2024-09-23T07:54:50.987122", 422       "last_modified": "2024-09-23T07:54:50.987122",
            420       "lgd_mapping": "yes", 423       "lgd_mapping": "yes",
            421       "metadata_modified": "2024-09-30T05:16:58.116536", 424       "metadata_modified": "2024-09-30T05:16:58.116536",
            422       "methodology": "The data was collected during census operations,  425       "methodology": "The data was collected during census operations, 
            423 where enumerators visited households and collected responses to  426 where enumerators visited households and collected responses to 
            424 standardized questions.The collected data was then compiled, verified,  427 standardized questions.The collected data was then compiled, verified, 
            425 and digitized to ensure accuracy and completeness.The dataset covers  428 and digitized to ensure accuracy and completeness.The dataset covers 
            426 all states and districts of India and categorizes households into  429 all states and districts of India and categorizes households into 
            427 rural or urban.", 430 rural or urban.",
            428       "mimetype": null, 431       "mimetype": null,
            429       "mimetype_inner": null, 432       "mimetype_inner": null,
            430       "name": "Census Household Amenities", 433       "name": "Census Household Amenities",
            431       "no_indicators": "142", 434       "no_indicators": "142",
            432       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17", 435       "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            433       "position": 4, 436       "position": 4,
            434       "resource_type": null, 437       "resource_type": null,
            435       "similar_resources": "", 438       "similar_resources": "",
            436       "size": 1355351, 439       "size": 1355351,
            437       "sku": "moha-census_household_amenities-dt-dc-abc", 440       "sku": "moha-census_household_amenities-dt-dc-abc",
            438       "state": "active", 441       "state": "active",
            439       "states_uts_no": "35", 442       "states_uts_no": "35",
            440       "tehsil_no": "", 443       "tehsil_no": "",
            441       "url":  444       "url": 
            442 -8cd5-4df3-bbfe-029c73610754/download/census-household-amenities.csv", 445 -8cd5-4df3-bbfe-029c73610754/download/census-household-amenities.csv",
            443       "url_type": "upload", 446       "url_type": "upload",
            444       "years_covered": "2011" 447       "years_covered": "2011"
            445     } 448     }
            446   ], 449   ],
            447   "sector": [ 450   "sector": [
            448     "Economy", 451     "Economy",
            449     "Infrastructure", 452     "Infrastructure",
            450     "Socio Economic" 453     "Socio Economic"
            451   ], 454   ],
            452   "source_name": "Ministry of Home Affairs (MHA)", 455   "source_name": "Ministry of Home Affairs (MHA)",
            453   "state": "active", 456   "state": "active",
            454   "tags": [ 457   "tags": [
            455     { 458     {
            456       "display_name": "Housing", 459       "display_name": "Housing",
            457       "id": "98cccc91-9f5e-4729-b27e-ef63f428e209", 460       "id": "98cccc91-9f5e-4729-b27e-ef63f428e209",
            458       "name": "Housing", 461       "name": "Housing",
            459       "state": "active", 462       "state": "active",
            460       "vocabulary_id": null 463       "vocabulary_id": null
            461     } 464     }
            462   ], 465   ],
            463   "title": "Census Housing", 466   "title": "Census Housing",
            464   "type": "dataset", 467   "type": "dataset",
            465   "url": "https://censusindia.gov.in/", 468   "url": "https://censusindia.gov.in/",
            466   "version": null 469   "version": null
            467 } 470 }