Alterações

              
    

          
          
        
        

            
f
1
{
f
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{
            
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  "SDGs": [],
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  "SDGs": [],
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "12259aba-a89a-458d-bf04-1db040b05bfd",
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  "id": "12259aba-a89a-458d-bf04-1db040b05bfd",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "odc-by",
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  "license_id": "odc-by",
            
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  "license_title": "Open Data Commons Attribution License",
10
  "license_title": "Open Data Commons Attribution License",
            
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  "license_url": "http://www.opendefinition.org/licenses/odc-by",
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  "license_url": "http://www.opendefinition.org/licenses/odc-by",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-09-27T11:25:58.444854",
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  "metadata_created": "2023-09-27T11:25:58.444854",
            
n
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  "metadata_modified": "2025-12-19T10:22:02.314729",
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  "metadata_modified": "2025-12-19T10:22:03.914802",
            
16
  "methodology": "",
16
  "methodology": "",
            
17
  "name": 
17
  "name": 
            
18
"mgnrega-mahatma-gandhi-national-rural-employment-guarantee-act",
18
"mgnrega-mahatma-gandhi-national-rural-employment-guarantee-act",
            
19
  "notes": "The MGNREGA package provides comprehensive datasets 
19
  "notes": "The MGNREGA package provides comprehensive datasets 
            
20
related to the implementation and impact of the Mahatma Gandhi 
20
related to the implementation and impact of the Mahatma Gandhi 
            
21
National Rural Employment Guarantee Act in India. MGNREGA is a social 
21
National Rural Employment Guarantee Act in India. MGNREGA is a social 
            
22
security measure aimed at guaranteeing the 'right to work' and 
22
security measure aimed at guaranteeing the 'right to work' and 
            
23
enhancing livelihood security in rural areas by providing at least 100 
23
enhancing livelihood security in rural areas by providing at least 100 
            
24
days of wage employment in a financial year to every household whose 
24
days of wage employment in a financial year to every household whose 
            
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adult members volunteer to do unskilled manual work. This package 
25
adult members volunteer to do unskilled manual work. This package 
            
26
includes multiple resources that detail various aspects of the 
26
includes multiple resources that detail various aspects of the 
            
27
program, such as worker demographics, employment statistics, and 
27
program, such as worker demographics, employment statistics, and 
            
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financial inclusion.",
28
financial inclusion.",
            
29
  "num_resources": 3,
29
  "num_resources": 3,
            
30
  "num_tags": 1,
30
  "num_tags": 1,
            
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  "organization": {
31
  "organization": {
            
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    "approval_status": "approved",
32
    "approval_status": "approved",
            
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    "created": "2022-12-05T03:44:54.080358",
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    "created": "2022-12-05T03:44:54.080358",
            
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    "description": "",
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    "description": "",
            
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    "id": "94317457-d297-4549-9640-7865034682c5",
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    "id": "94317457-d297-4549-9640-7865034682c5",
            
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "idp-organization",
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    "name": "idp-organization",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "IDP organization",
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    "title": "IDP organization",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "additional_info": "",
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      "additional_info": "",
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-10-08T07:16:44.306295",
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      "created": "2023-10-08T07:16:44.306295",
            
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      "data_extraction_page": 
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      "data_extraction_page": 
            
54
022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA",
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022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA",
            
55
      "data_insights": "A deep dive into the dataset reveals an 
55
      "data_insights": "A deep dive into the dataset reveals an 
            
56
intricate tapestry of employment patterns, worker registrations, and 
56
intricate tapestry of employment patterns, worker registrations, and 
            
57
job card activations, each threaded with detailed sub-categories. One 
57
job card activations, each threaded with detailed sub-categories. One 
            
58
of the prominent threads in this tapestry is the explicit data on 
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of the prominent threads in this tapestry is the explicit data on 
            
59
female workers - a categorical insight that allows an in-depth 
59
female workers - a categorical insight that allows an in-depth 
            
60
analysis of women's participation in the workforce. This feature, 
60
analysis of women's participation in the workforce. This feature, 
            
61
combined with the comprehensive data on Scheduled Castes, Scheduled 
61
combined with the comprehensive data on Scheduled Castes, Scheduled 
            
62
Tribes, and other categories, transforms the dataset into a valuable 
62
Tribes, and other categories, transforms the dataset into a valuable 
            
63
resource for gender-specific and social group-specific analyses across 
63
resource for gender-specific and social group-specific analyses across 
            
64
various geographical demarcations.",
64
various geographical demarcations.",
            
65
      "data_last_updated": "2023-10-05 00:00:00",
65
      "data_last_updated": "2023-10-05 00:00:00",
            
66
      "data_retreival_date": "2023-31-08",
66
      "data_retreival_date": "2023-31-08",
            
67
      "datastore_active": true,
67
      "datastore_active": true,
            
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      "description": "The dataset encapsulates vital statistics on 
68
      "description": "The dataset encapsulates vital statistics on 
            
69
rural employment in India, offering granular insights into job card 
69
rural employment in India, offering granular insights into job card 
            
70
allocations and worker registrations. Segregated by states, districts, 
70
allocations and worker registrations. Segregated by states, districts, 
            
71
and Gram Panchayats, it illuminates the depth of outreach and 
71
and Gram Panchayats, it illuminates the depth of outreach and 
            
72
inclusivity of the initiative. Notably, the dataset highlights female 
72
inclusivity of the initiative. Notably, the dataset highlights female 
            
73
participation, serving as a benchmark resource for evaluating gender 
73
participation, serving as a benchmark resource for evaluating gender 
            
74
inclusivity in rural employment drives.\r\n\r\nNOTE: Our Data Experts 
74
inclusivity in rural employment drives.\r\n\r\nNOTE: Our Data Experts 
            
75
are working round the clock to provide you with LGD Mapped Datasets 
75
are working round the clock to provide you with LGD Mapped Datasets 
            
76
like others on this portal. This dataset will be updated in a short 
76
like others on this portal. This dataset will be updated in a short 
            
77
while.",
77
while.",
            
78
      "district_no": "746",
78
      "district_no": "746",
            
79
      "format": "CSV",
79
      "format": "CSV",
            
80
      "frequency": "Yearly",
80
      "frequency": "Yearly",
            
81
      "geo_columns": [],
81
      "geo_columns": [],
            
82
      "gp_no": "212047",
82
      "gp_no": "212047",
            
83
      "granularity": "Gram Panchayat",
83
      "granularity": "Gram Panchayat",
            
84
      "hash": "",
84
      "hash": "",
            
85
      "id": "739aae45-0a9f-4ef0-a37b-f6c723d8685d",
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      "id": "739aae45-0a9f-4ef0-a37b-f6c723d8685d",
            
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      "idp_ready": true,
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      "idp_ready": true,
            
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      "last_modified": "2023-10-08T07:16:44.288372",
87
      "last_modified": "2023-10-08T07:16:44.288372",
            
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      "lgd_mapping": "no",
88
      "lgd_mapping": "no",
            
89
      "metadata_modified": "2025-12-19T10:22:00.834621",
89
      "metadata_modified": "2025-12-19T10:22:00.834621",
            
90
      "methodology": "The  dataset is sourced directly from the 
90
      "methodology": "The  dataset is sourced directly from the 
            
91
official MGNREGA portal, managed by the Government of India. Data 
91
official MGNREGA portal, managed by the Government of India. Data 
            
92
submissions, made by individual states, districts, and Gram 
92
submissions, made by individual states, districts, and Gram 
            
93
Panchayats, undergo a validation process to ensure accuracy. Once 
93
Panchayats, undergo a validation process to ensure accuracy. Once 
            
94
verified, the data is consolidated to reflect comprehensive rural 
94
verified, the data is consolidated to reflect comprehensive rural 
            
95
employment statistics for the specified year.",
95
employment statistics for the specified year.",
            
96
      "mimetype": "",
96
      "mimetype": "",
            
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      "mimetype_inner": null,
97
      "mimetype_inner": null,
            
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      "name": "Category Wise Workers",
98
      "name": "Category Wise Workers",
            
99
      "no_indicators": "13",
99
      "no_indicators": "13",
            
100
      "package_id": "12259aba-a89a-458d-bf04-1db040b05bfd",
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      "package_id": "12259aba-a89a-458d-bf04-1db040b05bfd",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "similar_datasets": "",
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      "similar_datasets": "",
            
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      "size": 386956974,
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      "size": 386956974,
            
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      "sku": "mord-mgnrega_category_wise_worker-gp-yr-aaa",
105
      "sku": "mord-mgnrega_category_wise_worker-gp-yr-aaa",
            
106
      "state": "active",
106
      "state": "active",
            
107
      "states_uts_no": "34",
107
      "states_uts_no": "34",
            
108
      "tags": "",
108
      "tags": "",
            
109
      "tehsil_no": "",
109
      "tehsil_no": "",
            
110
      "url": 
110
      "url": 
            
111
aae45-0a9f-4ef0-a37b-f6c723d8685d/download/category-wise-workers.csv",
111
aae45-0a9f-4ef0-a37b-f6c723d8685d/download/category-wise-workers.csv",
            
112
      "url_type": "upload",
112
      "url_type": "upload",
            
113
      "village_no": "",
113
      "village_no": "",
            
114
      "years_covered": "2014-2023"
114
      "years_covered": "2014-2023"
            
115
    },
115
    },
            
116
    {
116
    {
            
117
      "additional_info": "nan",
117
      "additional_info": "nan",
            
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      "cache_last_updated": null,
118
      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-10-08T10:22:53.698461",
120
      "created": "2023-10-08T10:22:53.698461",
            
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      "data_extraction_page": 
121
      "data_extraction_page": 
            
122
022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA",
122
022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA",
            
123
      "data_insights": "The dataset highlights a consistent growth 
123
      "data_insights": "The dataset highlights a consistent growth 
            
124
trajectory in the number of registered households and individuals over 
124
trajectory in the number of registered households and individuals over 
            
125
the years, indicating the expanding reach of employment schemes. 
125
the years, indicating the expanding reach of employment schemes. 
            
126
Detailed breakdowns of job card issuance for various demographic 
126
Detailed breakdowns of job card issuance for various demographic 
            
127
categories provide insights into targeted social inclusion efforts. 
127
categories provide insights into targeted social inclusion efforts. 
            
128
Cumulative job card counts offer a longitudinal perspective, enabling 
128
Cumulative job card counts offer a longitudinal perspective, enabling 
            
129
assessments of the programs' long-term impact and outreach 
129
assessments of the programs' long-term impact and outreach 
            
130
effectiveness. Discrepancies between employment demands and 
130
effectiveness. Discrepancies between employment demands and 
            
131
opportunities, as reflected in the dataset, provide valuable cues for 
131
opportunities, as reflected in the dataset, provide valuable cues for 
            
132
policy refinement and targeted interventions.",
132
policy refinement and targeted interventions.",
            
133
      "data_last_updated": "2023",
133
      "data_last_updated": "2023",
            
134
      "data_retreival_date": "2023-08-17 00:00:00",
134
      "data_retreival_date": "2023-08-17 00:00:00",
            
135
      "datastore_active": true,
135
      "datastore_active": true,
            
136
      "description": "This dataset is a comprehensive repository of 
136
      "description": "This dataset is a comprehensive repository of 
            
137
information related to rural employment schemes and job card 
137
information related to rural employment schemes and job card 
            
138
distribution across diverse regions. It provides an extensive overview 
138
distribution across diverse regions. It provides an extensive overview 
            
139
of government initiatives aimed at generating livelihood opportunities 
139
of government initiatives aimed at generating livelihood opportunities 
            
140
in rural areas. The dataset encompasses critical data points, 
140
in rural areas. The dataset encompasses critical data points, 
            
141
including the registration of households, issuance of job cards, 
141
including the registration of households, issuance of job cards, 
            
142
employment demands, and participation rates among various demographic 
142
employment demands, and participation rates among various demographic 
            
143
categories, such as Scheduled Castes and Scheduled Tribes.",
143
categories, such as Scheduled Castes and Scheduled Tribes.",
            
144
      "district_no": "746",
144
      "district_no": "746",
            
145
      "format": "CSV",
145
      "format": "CSV",
            
146
      "frequency": "Yearly",
146
      "frequency": "Yearly",
            
147
      "geo_columns": [],
147
      "geo_columns": [],
            
148
      "gp_no": "211365",
148
      "gp_no": "211365",
            
149
      "granularity": "Gram Panchayat",
149
      "granularity": "Gram Panchayat",
            
150
      "hash": "",
150
      "hash": "",
            
151
      "id": "c8027530-9633-4cd7-aff2-7975cc52a482",
151
      "id": "c8027530-9633-4cd7-aff2-7975cc52a482",
            
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      "idp_ready": true,
152
      "idp_ready": true,
            
153
      "last_modified": "2024-10-04T05:09:13.821496",
153
      "last_modified": "2024-10-04T05:09:13.821496",
            
154
      "lgd_mapping": "no",
154
      "lgd_mapping": "no",
            
155
      "metadata_modified": "2025-12-19T10:22:02.319666",
155
      "metadata_modified": "2025-12-19T10:22:02.319666",
            
156
      "methodology": "The dataset originates from the official MGNREGA 
156
      "methodology": "The dataset originates from the official MGNREGA 
            
157
portal, overseen by the Government of India. Individual states, 
157
portal, overseen by the Government of India. Individual states, 
            
158
districts, and Gram Panchayats contribute data submissions, which 
158
districts, and Gram Panchayats contribute data submissions, which 
            
159
undergo meticulous validation procedures to guarantee accuracy. Once 
159
undergo meticulous validation procedures to guarantee accuracy. Once 
            
160
validated, the data is aggregated, providing a comprehensive overview 
160
validated, the data is aggregated, providing a comprehensive overview 
            
161
of rural employment statistics for the designated year",
161
of rural employment statistics for the designated year",
            
162
      "mimetype": "text/csv",
162
      "mimetype": "text/csv",
            
163
      "mimetype_inner": null,
163
      "mimetype_inner": null,
            
164
      "name": "Employment Generated",
164
      "name": "Employment Generated",
            
165
      "no_indicators": "22",
165
      "no_indicators": "22",
            
166
      "package_id": "12259aba-a89a-458d-bf04-1db040b05bfd",
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      "package_id": "12259aba-a89a-458d-bf04-1db040b05bfd",
            
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      "position": 1,
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      "position": 1,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "similar_datasets": [],
169
      "similar_datasets": [],
            
170
      "size": 489566919,
170
      "size": 489566919,
            
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      "sku": "mord-mgnrega_employment_generated-gp-yr-aaa",
171
      "sku": "mord-mgnrega_employment_generated-gp-yr-aaa",
            
172
      "state": "active",
172
      "state": "active",
            
173
      "states_uts_no": "34",
173
      "states_uts_no": "34",
            
174
      "tags": [
174
      "tags": [
            
175
        "Employment",
175
        "Employment",
            
176
        "Rural Development",
176
        "Rural Development",
            
177
        "Job Cards"
177
        "Job Cards"
            
178
      ],
178
      ],
            
179
      "tehsil_no": "",
179
      "tehsil_no": "",
            
180
      "url": 
180
      "url": 
            
181
027530-9633-4cd7-aff2-7975cc52a482/download/employment-generated.csv",
181
027530-9633-4cd7-aff2-7975cc52a482/download/employment-generated.csv",
            
182
      "url_type": "upload",
182
      "url_type": "upload",
            
183
      "village_no": "",
183
      "village_no": "",
            
184
      "years_covered": "2014-2023"
184
      "years_covered": "2014-2023"
            
185
    },
185
    },
            
186
    {
186
    {
            
187
      "additional_info": "nan",
187
      "additional_info": "nan",
            
188
      "cache_last_updated": null,
188
      "cache_last_updated": null,
            
189
      "cache_url": null,
189
      "cache_url": null,
            
190
      "created": "2023-10-08T11:45:03.803120",
190
      "created": "2023-10-08T11:45:03.803120",
            
191
      "data_extraction_page": 
191
      "data_extraction_page": 
            
192
022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA",
192
022-2023&source=national&labels=labels&Digest=kODLAkQv8M9FT6WbXb7zhA",
            
193
      "data_insights": "The dataset provides a multi-dimensional view 
193
      "data_insights": "The dataset provides a multi-dimensional view 
            
194
into the state of financial inclusion for women in rural areas under 
194
into the state of financial inclusion for women in rural areas under 
            
195
the MGNREGA scheme. By detailing the number of joint and total 
195
the MGNREGA scheme. By detailing the number of joint and total 
            
196
accounts women have, and juxtaposing it with the number of women 
196
accounts women have, and juxtaposing it with the number of women 
            
197
beneficiary workers with and without accounts, it paints a picture of 
197
beneficiary workers with and without accounts, it paints a picture of 
            
198
the financial landscape for women in rural India. This information can 
198
the financial landscape for women in rural India. This information can 
            
199
aid policymakers, researchers, and NGOs in understanding the scope of 
199
aid policymakers, researchers, and NGOs in understanding the scope of 
            
200
financial literacy and inclusion for women in the rural regions of the 
200
financial literacy and inclusion for women in the rural regions of the 
            
201
countr",
201
countr",
            
202
      "data_last_updated": "2023",
202
      "data_last_updated": "2023",
            
203
      "data_retreival_date": "2023-01-08 00:00:00",
203
      "data_retreival_date": "2023-01-08 00:00:00",
            
204
      "datastore_active": true,
204
      "datastore_active": true,
            
205
      "description": "This dataset offers a comprehensive view of 
205
      "description": "This dataset offers a comprehensive view of 
            
206
women's financial inclusion, it showcases the statistics related to 
206
women's financial inclusion, it showcases the statistics related to 
            
207
the joint bank accounts held by women, their total bank accounts, and 
207
the joint bank accounts held by women, their total bank accounts, and 
            
208
the correlation between account possession and their beneficiary 
208
the correlation between account possession and their beneficiary 
            
209
status under the MGNREGA scheme. The granularity of the data extends 
209
status under the MGNREGA scheme. The granularity of the data extends 
            
210
from a state level to the specifics of Gram Panchayats. ",
210
from a state level to the specifics of Gram Panchayats. ",
            
211
      "district_no": "739",
211
      "district_no": "739",
            
212
      "format": "CSV",
212
      "format": "CSV",
            
213
      "frequency": "Yearly",
213
      "frequency": "Yearly",
            
n
n
214
      "geo_columns": [],
            
214
      "gp_no": "211408",
215
      "gp_no": "211408",
            
215
      "granularity": "Gram Panchayat",
216
      "granularity": "Gram Panchayat",
            
216
      "hash": "",
217
      "hash": "",
            
217
      "id": "5da27e18-b317-417a-8de9-301b55ad31b2",
218
      "id": "5da27e18-b317-417a-8de9-301b55ad31b2",
            
218
      "idp_ready": true,
219
      "idp_ready": true,
            
219
      "last_modified": "2024-10-04T09:34:37.630984",
220
      "last_modified": "2024-10-04T09:34:37.630984",
            
220
      "lgd_mapping": "no",
221
      "lgd_mapping": "no",
            
t
221
      "metadata_modified": "2024-10-04T10:27:23.316772",
t
222
      "metadata_modified": "2025-12-19T10:22:03.919367",
            
222
      "methodology": " The methodology involves a systematic, 
223
      "methodology": " The methodology involves a systematic, 
            
223
multi-tiered approach. Initial data collection occurs at the 
224
multi-tiered approach. Initial data collection occurs at the 
            
224
grassroots level, with local Gram Panchayat officials gathering 
225
grassroots level, with local Gram Panchayat officials gathering 
            
225
detailed information on women holding joint and individual bank 
226
detailed information on women holding joint and individual bank 
            
226
accounts. This data, sourced from bank records and verified through a 
227
accounts. This data, sourced from bank records and verified through a 
            
227
rigorous process, is then aggregated at block and district levels. 
228
rigorous process, is then aggregated at block and district levels. 
            
228
Accuracy and consistency checks ensure the data's reliability before 
229
Accuracy and consistency checks ensure the data's reliability before 
            
229
it's consolidated into the national dataset accessible via the NREGA 
230
it's consolidated into the national dataset accessible via the NREGA 
            
230
portal.\n\n\n",
231
portal.\n\n\n",
            
231
      "mimetype": "text/csv",
232
      "mimetype": "text/csv",
            
232
      "mimetype_inner": null,
233
      "mimetype_inner": null,
            
233
      "name": "Women Joint Accounts",
234
      "name": "Women Joint Accounts",
            
234
      "no_indicators": "4",
235
      "no_indicators": "4",
            
235
      "package_id": "12259aba-a89a-458d-bf04-1db040b05bfd",
236
      "package_id": "12259aba-a89a-458d-bf04-1db040b05bfd",
            
236
      "position": 2,
237
      "position": 2,
            
237
      "resource_type": null,
238
      "resource_type": null,
            
238
      "similar_datasets": [],
239
      "similar_datasets": [],
            
239
      "size": 245983842,
240
      "size": 245983842,
            
240
      "sku": "mord-mgnrega_women_joint_acc-gp-yr-aaa",
241
      "sku": "mord-mgnrega_women_joint_acc-gp-yr-aaa",
            
241
      "state": "active",
242
      "state": "active",
            
242
      "states_uts_no": "34",
243
      "states_uts_no": "34",
            
243
      "tags": [
244
      "tags": [
            
244
        "NREGA",
245
        "NREGA",
            
245
        "Financial Inclusion",
246
        "Financial Inclusion",
            
246
        "Women Empowerment",
247
        "Women Empowerment",
            
247
        "Rural Development",
248
        "Rural Development",
            
248
        "Bank Accounts",
249
        "Bank Accounts",
            
249
        "Beneficiary Status"
250
        "Beneficiary Status"
            
250
      ],
251
      ],
            
251
      "tehsil_no": "",
252
      "tehsil_no": "",
            
252
      "url": 
253
      "url": 
            
253
a27e18-b317-417a-8de9-301b55ad31b2/download/women-joint-accounts.csv",
254
a27e18-b317-417a-8de9-301b55ad31b2/download/women-joint-accounts.csv",
            
254
      "url_type": "upload",
255
      "url_type": "upload",
            
255
      "village_no": "",
256
      "village_no": "",
            
256
      "years_covered": "2014-2023"
257
      "years_covered": "2014-2023"
            
257
    }
258
    }
            
258
  ],
259
  ],
            
259
  "sector": [
260
  "sector": [
            
260
    "Rural Development"
261
    "Rural Development"
            
261
  ],
262
  ],
            
262
  "source_name": "Ministry of Rural Development",
263
  "source_name": "Ministry of Rural Development",
            
263
  "state": "active",
264
  "state": "active",
            
264
  "title": "MGNREGA (Mahatma Gandhi National Rural Employment 
265
  "title": "MGNREGA (Mahatma Gandhi National Rural Employment 
            
265
Guarantee Act)",
266
Guarantee Act)",
            
266
  "type": "dataset",
267
  "type": "dataset",
            
267
  "url": "https://nreganarep.nic.in/netnrega/MISreport4.aspx",
268
  "url": "https://nreganarep.nic.in/netnrega/MISreport4.aspx",
            
268
  "version": null
269
  "version": null
            
269
}
270
}