Canvis

              
    

          
          
        
        

            
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": "2025-12-19T08:08:41.613571",
n
95
  "metadata_modified": "2025-12-19T08:08:42.979789",
            
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",
            
213
      "geo_columns": [
213
      "geo_columns": [
            
214
        "state_code"
214
        "state_code"
            
215
      ],
215
      ],
            
216
      "gp_no": "",
216
      "gp_no": "",
            
217
      "granularity": "State",
217
      "granularity": "State",
            
218
      "hash": "",
218
      "hash": "",
            
219
      "id": "213706cf-3668-419f-860b-d659137ebdf6",
219
      "id": "213706cf-3668-419f-860b-d659137ebdf6",
            
220
      "idp_ready": true,
220
      "idp_ready": true,
            
221
      "last_modified": "2023-10-07T10:00:05.149957",
221
      "last_modified": "2023-10-07T10:00:05.149957",
            
222
      "lgd_mapping": "yes",
222
      "lgd_mapping": "yes",
            
223
      "metadata_modified": "2025-12-19T08:08:41.618522",
223
      "metadata_modified": "2025-12-19T08:08:41.618522",
            
224
      "methodology": "This dataset represents the condition of census 
224
      "methodology": "This dataset represents the condition of census 
            
225
houses utilized as residences and as both residences and other uses, 
225
houses utilized as residences and as both residences and other uses, 
            
226
across urban and rural regions of different states in India. The 
226
across urban and rural regions of different states in India. The 
            
227
conditions are categorized into \"Good\", \"Livable\", and 
227
conditions are categorized into \"Good\", \"Livable\", and 
            
228
\"Dilapidated\". It offers a nuanced view of housing conditions and 
228
\"Dilapidated\". It offers a nuanced view of housing conditions and 
            
229
multi-use housing situations in different parts of the country.",
229
multi-use housing situations in different parts of the country.",
            
230
      "mimetype": "",
230
      "mimetype": "",
            
231
      "mimetype_inner": null,
231
      "mimetype_inner": null,
            
232
      "name": "Census House Condition and Usage",
232
      "name": "Census House Condition and Usage",
            
233
      "no_indicators": "12",
233
      "no_indicators": "12",
            
234
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
234
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            
235
      "position": 1,
235
      "position": 1,
            
236
      "resource_type": null,
236
      "resource_type": null,
            
237
      "similar_datasets": "",
237
      "similar_datasets": "",
            
238
      "size": 3689,
238
      "size": 3689,
            
239
      "sku": "moha-census_houses_by_residential_use-st-dc-aaa",
239
      "sku": "moha-census_houses_by_residential_use-st-dc-aaa",
            
240
      "state": "active",
240
      "state": "active",
            
241
      "states_uts_no": "35",
241
      "states_uts_no": "35",
            
242
      "tags": "",
242
      "tags": "",
            
243
      "tehsil_no": "",
243
      "tehsil_no": "",
            
244
      "url": 
244
      "url": 
            
245
419f-860b-d659137ebdf6/download/census-house-condition-and-usage.csv",
245
419f-860b-d659137ebdf6/download/census-house-condition-and-usage.csv",
            
246
      "url_type": "upload",
246
      "url_type": "upload",
            
247
      "village_no": "",
247
      "village_no": "",
            
248
      "years_covered": "2011"
248
      "years_covered": "2011"
            
249
    },
249
    },
            
250
    {
250
    {
            
251
      "additional_info": "Table : H-03 C: Census houses by predominant 
251
      "additional_info": "Table : H-03 C: Census houses by predominant 
            
252
material of the floor (excluding locked/vacant houses)",
252
material of the floor (excluding locked/vacant houses)",
            
253
      "cache_last_updated": null,
253
      "cache_last_updated": null,
            
254
      "cache_url": null,
254
      "cache_url": null,
            
255
      "created": "2023-10-08T09:20:59.732769",
255
      "created": "2023-10-08T09:20:59.732769",
            
256
      "data_extraction_page": 
256
      "data_extraction_page": 
            
257
"https://censusindia.gov.in/census.website/data/census-tables",
257
"https://censusindia.gov.in/census.website/data/census-tables",
            
258
      "data_insights": "Data Insights that can be drawn:\nRegional 
258
      "data_insights": "Data Insights that can be drawn:\nRegional 
            
259
preferences in floor materials between rural and urban areas.\nTrend 
259
preferences in floor materials between rural and urban areas.\nTrend 
            
260
analysis to see the evolution of floor material preferences over the 
260
analysis to see the evolution of floor material preferences over the 
            
261
years.\nState-wise adoption of modern floor materials like 
261
years.\nState-wise adoption of modern floor materials like 
            
262
machine-made tiles, plastic, or concrete.\nPotential correlations 
262
machine-made tiles, plastic, or concrete.\nPotential correlations 
            
263
between the development of a state and its urban floor material 
263
between the development of a state and its urban floor material 
            
264
choices.\nThe dominance of traditional floor materials like grass, 
264
choices.\nThe dominance of traditional floor materials like grass, 
            
265
thatch, bamboo, or wood in certain regions.\nThe state-by-state 
265
thatch, bamboo, or wood in certain regions.\nThe state-by-state 
            
266
percentage of houses that use unconventional or rare materials.",
266
percentage of houses that use unconventional or rare materials.",
            
267
      "data_last_updated": "2011",
267
      "data_last_updated": "2011",
            
268
      "data_retreival_date": "6/23/2022",
268
      "data_retreival_date": "6/23/2022",
            
269
      "datastore_active": true,
269
      "datastore_active": true,
            
270
      "description": "The \"Census House floor material\" provides 
270
      "description": "The \"Census House floor material\" provides 
            
271
detailed information about the types of floor materials used in census 
271
detailed information about the types of floor materials used in census 
            
272
houses across different states in India, divided into rural and urban 
272
houses across different states in India, divided into rural and urban 
            
273
regions. It offers insights into the varied materials people use in 
273
regions. It offers insights into the varied materials people use in 
            
274
different environments and how these choices change over time.",
274
different environments and how these choices change over time.",
            
275
      "district_no": "",
275
      "district_no": "",
            
276
      "format": "CSV",
276
      "format": "CSV",
            
277
      "frequency": "Decadal",
277
      "frequency": "Decadal",
            
n
n
278
      "geo_columns": [
            
279
        "state_code"
            
280
      ],
            
278
      "gp_no": "",
281
      "gp_no": "",
            
279
      "granularity": "State",
282
      "granularity": "State",
            
280
      "hash": "",
283
      "hash": "",
            
281
      "id": "84e920c3-f4d9-4392-b65b-8a901ac668df",
284
      "id": "84e920c3-f4d9-4392-b65b-8a901ac668df",
            
282
      "idp_ready": true,
285
      "idp_ready": true,
            
283
      "last_modified": "2024-09-23T08:06:48.337766",
286
      "last_modified": "2024-09-23T08:06:48.337766",
            
284
      "lgd_mapping": "yes",
287
      "lgd_mapping": "yes",
            
t
285
      "metadata_modified": "2024-09-23T08:06:50.487270",
t
288
      "metadata_modified": "2025-12-19T08:08:42.985006",
            
286
      "methodology": "The data has been sourced from the official 
289
      "methodology": "The data has been sourced from the official 
            
287
Census of India website, which conducts a detailed enumeration of the 
290
Census of India website, which conducts a detailed enumeration of the 
            
288
country's population and their living conditions once every decade. 
291
country's population and their living conditions once every decade. 
            
289
The dataset is likely based on survey responses from households across 
292
The dataset is likely based on survey responses from households across 
            
290
the nation, which is then aggregated at the state level for 
293
the nation, which is then aggregated at the state level for 
            
291
presentation.",
294
presentation.",
            
292
      "mimetype": "text/csv",
295
      "mimetype": "text/csv",
            
293
      "mimetype_inner": null,
296
      "mimetype_inner": null,
            
294
      "name": "Census House Floor Material",
297
      "name": "Census House Floor Material",
            
295
      "no_indicators": "24",
298
      "no_indicators": "24",
            
296
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
299
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            
297
      "position": 2,
300
      "position": 2,
            
298
      "resource_type": null,
301
      "resource_type": null,
            
299
      "similar_datasets": [],
302
      "similar_datasets": [],
            
300
      "size": 8792,
303
      "size": 8792,
            
301
      "sku": "moha-census_houses_by_floor_material-st-dc-aaa",
304
      "sku": "moha-census_houses_by_floor_material-st-dc-aaa",
            
302
      "state": "active",
305
      "state": "active",
            
303
      "states_uts_no": "35",
306
      "states_uts_no": "35",
            
304
      "tags": [
307
      "tags": [
            
305
        "India Census",
308
        "India Census",
            
306
        "House construction",
309
        "House construction",
            
307
        "Floor materials",
310
        "Floor materials",
            
308
        "Rural vs Urban",
311
        "Rural vs Urban",
            
309
        "Housing trends"
312
        "Housing trends"
            
310
      ],
313
      ],
            
311
      "tehsil_no": "",
314
      "tehsil_no": "",
            
312
      "url": 
315
      "url": 
            
313
f4d9-4392-b65b-8a901ac668df/download/census-house-floor-material.csv",
316
f4d9-4392-b65b-8a901ac668df/download/census-house-floor-material.csv",
            
314
      "url_type": "upload",
317
      "url_type": "upload",
            
315
      "village_no": "",
318
      "village_no": "",
            
316
      "years_covered": "2011"
319
      "years_covered": "2011"
            
317
    },
320
    },
            
318
    {
321
    {
            
319
      "additional_info": "",
322
      "additional_info": "",
            
320
      "cache_last_updated": null,
323
      "cache_last_updated": null,
            
321
      "cache_url": null,
324
      "cache_url": null,
            
322
      "created": "2023-10-08T09:28:36.250289",
325
      "created": "2023-10-08T09:28:36.250289",
            
323
      "data_extraction_page": "H-01: Census houses and the uses to 
326
      "data_extraction_page": "H-01: Census houses and the uses to 
            
324
which they are put",
327
which they are put",
            
325
      "data_insights": "Data Insights that can be drawn:State-wise 
328
      "data_insights": "Data Insights that can be drawn:State-wise 
            
326
distribution of vacant houses in both rural and urban areas.State-wise 
329
distribution of vacant houses in both rural and urban areas.State-wise 
            
327
breakdown of houses based on their primary use in both urban and rural 
330
breakdown of houses based on their primary use in both urban and rural 
            
328
settings.Analysis of houses that are locked and potentially not in 
331
settings.Analysis of houses that are locked and potentially not in 
            
329
use.Comparative analysis of the number of houses used for commercial 
332
use.Comparative analysis of the number of houses used for commercial 
            
330
purposes versus those used for residential purposes.Insights into 
333
purposes versus those used for residential purposes.Insights into 
            
331
infrastructure development, e.g., the number of houses used as schools 
334
infrastructure development, e.g., the number of houses used as schools 
            
332
or hospitals, which can give an idea about the educational and health 
335
or hospitals, which can give an idea about the educational and health 
            
333
infrastructure of a region.Patterns of house utilization across 
336
infrastructure of a region.Patterns of house utilization across 
            
334
different states and years, potentially revealing urbanization trends 
337
different states and years, potentially revealing urbanization trends 
            
335
or migration patterns.",
338
or migration patterns.",
            
336
      "data_last_updated": "2011",
339
      "data_last_updated": "2011",
            
337
      "data_retreival_date": "6/23/2022",
340
      "data_retreival_date": "6/23/2022",
            
338
      "datastore_active": true,
341
      "datastore_active": true,
            
339
      "description": "The dataset \"Census houses and the uses to 
342
      "description": "The dataset \"Census houses and the uses to 
            
340
which they are put\" has been sourced from the official Census of 
343
which they are put\" has been sourced from the official Census of 
            
341
India website. It primarily focuses on the number and purpose of 
344
India website. It primarily focuses on the number and purpose of 
            
342
census houses across different states in India, differentiating 
345
census houses across different states in India, differentiating 
            
343
between rural and urban settings. The dataset tracks the use of each 
346
between rural and urban settings. The dataset tracks the use of each 
            
344
house, such as for residential purposes, commercial (like shops or 
347
house, such as for residential purposes, commercial (like shops or 
            
345
offices), educational institutions, hotels or lodges, hospitals, 
348
offices), educational institutions, hotels or lodges, hospitals, 
            
346
factories, places of worship, or other non-residential purposes. 
349
factories, places of worship, or other non-residential purposes. 
            
347
Additionally, the dataset also provides information on the number of 
350
Additionally, the dataset also provides information on the number of 
            
348
locked houses and vacant houses in both urban and rural areas.",
351
locked houses and vacant houses in both urban and rural areas.",
            
349
      "district_no": "",
352
      "district_no": "",
            
350
      "format": "CSV",
353
      "format": "CSV",
            
351
      "frequency": "Decadal",
354
      "frequency": "Decadal",
            
352
      "gp_no": "",
355
      "gp_no": "",
            
353
      "granularity": "State",
356
      "granularity": "State",
            
354
      "hash": "",
357
      "hash": "",
            
355
      "id": "d7f13f0d-dc00-4250-bde0-4f91bec4d536",
358
      "id": "d7f13f0d-dc00-4250-bde0-4f91bec4d536",
            
356
      "idp_ready": true,
359
      "idp_ready": true,
            
357
      "last_modified": "2023-10-08T09:28:36.227251",
360
      "last_modified": "2023-10-08T09:28:36.227251",
            
358
      "lgd_mapping": "yes",
361
      "lgd_mapping": "yes",
            
359
      "metadata_modified": "2024-08-22T10:11:52.250988",
362
      "metadata_modified": "2024-08-22T10:11:52.250988",
            
360
      "methodology": "The data is collected as a part of the official 
363
      "methodology": "The data is collected as a part of the official 
            
361
Census process, which is carried out once every decade. Enumerators 
364
Census process, which is carried out once every decade. Enumerators 
            
362
visit every house in their designated area and collect data through a 
365
visit every house in their designated area and collect data through a 
            
363
predefined questionnaire. This information is then aggregated at the 
366
predefined questionnaire. This information is then aggregated at the 
            
364
state and national levels. The data is segmented between urban and 
367
state and national levels. The data is segmented between urban and 
            
365
rural areas to understand the varying patterns of housing utilization 
368
rural areas to understand the varying patterns of housing utilization 
            
366
across different environments.",
369
across different environments.",
            
367
      "mimetype": "",
370
      "mimetype": "",
            
368
      "mimetype_inner": null,
371
      "mimetype_inner": null,
            
369
      "name": "Census House Utilization",
372
      "name": "Census House Utilization",
            
370
      "no_indicators": "22",
373
      "no_indicators": "22",
            
371
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
374
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            
372
      "position": 3,
375
      "position": 3,
            
373
      "resource_type": null,
376
      "resource_type": null,
            
374
      "similar_datasets": "",
377
      "similar_datasets": "",
            
375
      "size": 7986,
378
      "size": 7986,
            
376
      "sku": "moha-census_houses_by_uses-st-dc-aaa",
379
      "sku": "moha-census_houses_by_uses-st-dc-aaa",
            
377
      "state": "active",
380
      "state": "active",
            
378
      "states_uts_no": "35",
381
      "states_uts_no": "35",
            
379
      "tags": "",
382
      "tags": "",
            
380
      "tehsil_no": "",
383
      "tehsil_no": "",
            
381
      "url": 
384
      "url": 
            
382
0d-dc00-4250-bde0-4f91bec4d536/download/census-house-utilization.csv",
385
0d-dc00-4250-bde0-4f91bec4d536/download/census-house-utilization.csv",
            
383
      "url_type": "upload",
386
      "url_type": "upload",
            
384
      "village_no": "",
387
      "village_no": "",
            
385
      "years_covered": "2011"
388
      "years_covered": "2011"
            
386
    },
389
    },
            
387
    {
390
    {
            
388
      "additional_info": "nan",
391
      "additional_info": "nan",
            
389
      "cache_last_updated": null,
392
      "cache_last_updated": null,
            
390
      "cache_url": null,
393
      "cache_url": null,
            
391
      "created": "2023-10-29T13:19:03.435691",
394
      "created": "2023-10-29T13:19:03.435691",
            
392
      "data_extraction_page": 
395
      "data_extraction_page": 
            
393
"https://censusindia.gov.in/DigitalLibrary/TablesSeries2001.aspx",
396
"https://censusindia.gov.in/DigitalLibrary/TablesSeries2001.aspx",
            
394
      "data_insights": "Data Insights that can be drawn:Geographical 
397
      "data_insights": "Data Insights that can be drawn:Geographical 
            
395
Distribution: Allows for regional comparisons at the state and 
398
Distribution: Allows for regional comparisons at the state and 
            
396
district levels.Household Condition: Insight into the condition of 
399
district levels.Household Condition: Insight into the condition of 
            
397
households, ranging from good to dilapidated.Material Used: Provides a 
400
households, ranging from good to dilapidated.Material Used: Provides a 
            
398
view on the materials predominantly used for construction in different 
401
view on the materials predominantly used for construction in different 
            
399
regions.Household Amenities: Captures availability of facilities such 
402
regions.Household Amenities: Captures availability of facilities such 
            
400
as drinking water, source of light, cooking facilities, sanitation, 
403
as drinking water, source of light, cooking facilities, sanitation, 
            
401
etc.Household Assets: Insights into the prevalence of assets like TV, 
404
etc.Household Assets: Insights into the prevalence of assets like TV, 
            
402
radio, computers, and vehicles among households.Household Size & 
405
radio, computers, and vehicles among households.Household Size & 
            
403
Structure: Information on the number of rooms, household size, and 
406
Structure: Information on the number of rooms, household size, and 
            
404
ownership status.Banking & Technology: Indicators on banking services 
407
ownership status.Banking & Technology: Indicators on banking services 
            
405
and tech amenities within households.",
408
and tech amenities within households.",
            
406
      "data_last_updated": "2011",
409
      "data_last_updated": "2011",
            
407
      "data_retreival_date": "2020-21",
410
      "data_retreival_date": "2020-21",
            
408
      "datastore_active": true,
411
      "datastore_active": true,
            
409
      "description": "The dataset captures detailed information on 
412
      "description": "The dataset captures detailed information on 
            
410
household amenities across different states and districts of India, 
413
household amenities across different states and districts of India, 
            
411
including household conditions, materials used in construction, 
414
including household conditions, materials used in construction, 
            
412
availability of facilities and services, and household assets.",
415
availability of facilities and services, and household assets.",
            
413
      "district_no": "640",
416
      "district_no": "640",
            
414
      "format": "CSV",
417
      "format": "CSV",
            
415
      "frequency": "Decadal",
418
      "frequency": "Decadal",
            
416
      "gp_no": "",
419
      "gp_no": "",
            
417
      "granularity": "District",
420
      "granularity": "District",
            
418
      "hash": "",
421
      "hash": "",
            
419
      "id": "77f1ec00-8cd5-4df3-bbfe-029c73610754",
422
      "id": "77f1ec00-8cd5-4df3-bbfe-029c73610754",
            
420
      "idp_ready": true,
423
      "idp_ready": true,
            
421
      "indicators": [],
424
      "indicators": [],
            
422
      "last_modified": "2024-09-23T07:54:50.987122",
425
      "last_modified": "2024-09-23T07:54:50.987122",
            
423
      "lgd_mapping": "yes",
426
      "lgd_mapping": "yes",
            
424
      "metadata_modified": "2024-09-30T05:16:58.116536",
427
      "metadata_modified": "2024-09-30T05:16:58.116536",
            
425
      "methodology": "The data was collected during census operations, 
428
      "methodology": "The data was collected during census operations, 
            
426
where enumerators visited households and collected responses to 
429
where enumerators visited households and collected responses to 
            
427
standardized questions.The collected data was then compiled, verified, 
430
standardized questions.The collected data was then compiled, verified, 
            
428
and digitized to ensure accuracy and completeness.The dataset covers 
431
and digitized to ensure accuracy and completeness.The dataset covers 
            
429
all states and districts of India and categorizes households into 
432
all states and districts of India and categorizes households into 
            
430
rural or urban.",
433
rural or urban.",
            
431
      "mimetype": null,
434
      "mimetype": null,
            
432
      "mimetype_inner": null,
435
      "mimetype_inner": null,
            
433
      "name": "Census Household Amenities",
436
      "name": "Census Household Amenities",
            
434
      "no_indicators": "142",
437
      "no_indicators": "142",
            
435
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
438
      "package_id": "04ca228f-0b3f-45f9-8bce-d16371d5aa17",
            
436
      "position": 4,
439
      "position": 4,
            
437
      "resource_type": null,
440
      "resource_type": null,
            
438
      "similar_resources": "",
441
      "similar_resources": "",
            
439
      "size": 1355351,
442
      "size": 1355351,
            
440
      "sku": "moha-census_household_amenities-dt-dc-abc",
443
      "sku": "moha-census_household_amenities-dt-dc-abc",
            
441
      "state": "active",
444
      "state": "active",
            
442
      "states_uts_no": "35",
445
      "states_uts_no": "35",
            
443
      "tehsil_no": "",
446
      "tehsil_no": "",
            
444
      "url": 
447
      "url": 
            
445
-8cd5-4df3-bbfe-029c73610754/download/census-household-amenities.csv",
448
-8cd5-4df3-bbfe-029c73610754/download/census-household-amenities.csv",
            
446
      "url_type": "upload",
449
      "url_type": "upload",
            
447
      "years_covered": "2011"
450
      "years_covered": "2011"
            
448
    }
451
    }
            
449
  ],
452
  ],
            
450
  "sector": [
453
  "sector": [
            
451
    "Economy",
454
    "Economy",
            
452
    "Infrastructure",
455
    "Infrastructure",
            
453
    "Socio Economic"
456
    "Socio Economic"
            
454
  ],
457
  ],
            
455
  "source_name": "Ministry of Home Affairs (MHA)",
458
  "source_name": "Ministry of Home Affairs (MHA)",
            
456
  "state": "active",
459
  "state": "active",
            
457
  "tags": [
460
  "tags": [
            
458
    {
461
    {
            
459
      "display_name": "Housing",
462
      "display_name": "Housing",
            
460
      "id": "98cccc91-9f5e-4729-b27e-ef63f428e209",
463
      "id": "98cccc91-9f5e-4729-b27e-ef63f428e209",
            
461
      "name": "Housing",
464
      "name": "Housing",
            
462
      "state": "active",
465
      "state": "active",
            
463
      "vocabulary_id": null
466
      "vocabulary_id": null
            
464
    }
467
    }
            
465
  ],
468
  ],
            
466
  "title": "Census Housing",
469
  "title": "Census Housing",
            
467
  "type": "dataset",
470
  "type": "dataset",
            
468
  "url": "https://censusindia.gov.in/",
471
  "url": "https://censusindia.gov.in/",
            
469
  "version": null
472
  "version": null
            
470
}
473
}