Cambios

              
    

          
          
        
        

            
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, state_name, state_code, district_name, 
9
      "value": "id, state_name, state_code, district_name, 
            
10
district_code, block_name, block_code, gp_name, gp_code, village_name, 
10
district_code, block_name, block_code, gp_name, gp_code, village_name, 
            
11
village_code, shg_name, shg_code, shg_type, total_mem_details, 
11
village_code, shg_name, shg_code, shg_type, total_mem_details, 
            
12
mem_with_aadhar, mem_with_bankac, mem_with_aadharseededac, 
12
mem_with_aadhar, mem_with_bankac, mem_with_aadharseededac, 
            
13
mem_with_secc_tin_no, mem_without_aadhar, mem_without_bankac, 
13
mem_with_secc_tin_no, mem_without_aadhar, mem_without_bankac, 
            
14
mem_without_aadharseedac, id, state_name, district_name, block_name, 
14
mem_without_aadharseedac, id, state_name, district_name, block_name, 
            
15
gp_name, village_name, shg_name, shg_id, date_of_formation, shg_type, 
15
gp_name, village_name, shg_name, shg_id, date_of_formation, shg_type, 
            
16
promoted_by, bank_name, bank_branch_name, date_of_opening_of_account, 
16
promoted_by, bank_name, bank_branch_name, date_of_opening_of_account, 
            
17
total_members, female, male, scheduled_caste, scheduled_tribe, 
17
total_members, female, male, scheduled_caste, scheduled_tribe, 
            
18
other_backwards_class, other_social_category, self_disabled, 
18
other_backwards_class, other_social_category, self_disabled, 
            
19
family_member_disabled, hindu, christian, muslim, sikh, buddhist, 
19
family_member_disabled, hindu, christian, muslim, sikh, buddhist, 
            
20
jain, parsi, apl, bpl, pip_category_pop, pip_category_poor"
20
jain, parsi, apl, bpl, pip_category_pop, pip_category_poor"
            
21
    }
21
    }
            
22
  ],
22
  ],
            
23
  "groups": [],
23
  "groups": [],
            
24
  "id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
24
  "id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
            
25
  "isopen": true,
25
  "isopen": true,
            
26
  "license_id": "odc-by",
26
  "license_id": "odc-by",
            
27
  "license_title": "Open Data Commons Attribution License",
27
  "license_title": "Open Data Commons Attribution License",
            
28
  "license_url": "http://www.opendefinition.org/licenses/odc-by",
28
  "license_url": "http://www.opendefinition.org/licenses/odc-by",
            
29
  "maintainer": null,
29
  "maintainer": null,
            
30
  "maintainer_email": null,
30
  "maintainer_email": null,
            
31
  "metadata_created": "2023-10-08T18:33:51.409038",
31
  "metadata_created": "2023-10-08T18:33:51.409038",
            
n
32
  "metadata_modified": "2025-05-23T04:14:41.657770",
n
32
  "metadata_modified": "2025-05-23T04:15:54.028420",
            
33
  "name": "nrlm-national-rural-livelihoods-mission",
33
  "name": "nrlm-national-rural-livelihoods-mission",
            
34
  "notes": "The package offers a powerful lens into the rural 
34
  "notes": "The package offers a powerful lens into the rural 
            
35
self-help group (SHG) ecosystem in India, capturing detailed data on 
35
self-help group (SHG) ecosystem in India, capturing detailed data on 
            
36
member demographics, financial inclusion, and institutional support. 
36
member demographics, financial inclusion, and institutional support. 
            
37
It includes indicators on gender, caste, religion, disability, and 
37
It includes indicators on gender, caste, religion, disability, and 
            
38
poverty levels, alongside insights into Aadhaar linkage, bank account 
38
poverty levels, alongside insights into Aadhaar linkage, bank account 
            
39
access, and SECC integration. The data also tracks SHG formation, 
39
access, and SECC integration. The data also tracks SHG formation, 
            
40
promotion, and credit flow at the block level, helping users assess 
40
promotion, and credit flow at the block level, helping users assess 
            
41
the reach, depth, and impact of rural financial systems. Ideal for 
41
the reach, depth, and impact of rural financial systems. Ideal for 
            
42
researchers and practitioners, this package provides a grounded, 
42
researchers and practitioners, this package provides a grounded, 
            
43
data-rich foundation for understanding and improving grassroots 
43
data-rich foundation for understanding and improving grassroots 
            
44
development.",
44
development.",
            
45
  "num_resources": 3,
45
  "num_resources": 3,
            
46
  "num_tags": 4,
46
  "num_tags": 4,
            
47
  "organization": {
47
  "organization": {
            
48
    "approval_status": "approved",
48
    "approval_status": "approved",
            
49
    "created": "2022-12-05T03:44:54.080358",
49
    "created": "2022-12-05T03:44:54.080358",
            
50
    "description": "",
50
    "description": "",
            
51
    "id": "94317457-d297-4549-9640-7865034682c5",
51
    "id": "94317457-d297-4549-9640-7865034682c5",
            
52
    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
52
    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
53
    "is_organization": true,
53
    "is_organization": true,
            
54
    "name": "idp-organization",
54
    "name": "idp-organization",
            
55
    "state": "active",
55
    "state": "active",
            
56
    "title": "IDP organization",
56
    "title": "IDP organization",
            
57
    "type": "organization"
57
    "type": "organization"
            
58
  },
58
  },
            
59
  "owner_org": "94317457-d297-4549-9640-7865034682c5",
59
  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
60
  "private": false,
60
  "private": false,
            
61
  "relationships_as_object": [],
61
  "relationships_as_object": [],
            
62
  "relationships_as_subject": [],
62
  "relationships_as_subject": [],
            
63
  "resources": [
63
  "resources": [
            
64
    {
64
    {
            
65
      "additional_info": "nan",
65
      "additional_info": "nan",
            
66
      "cache_last_updated": null,
66
      "cache_last_updated": null,
            
67
      "cache_url": null,
67
      "cache_url": null,
            
68
      "created": "2023-10-10T11:02:29.733483",
68
      "created": "2023-10-10T11:02:29.733483",
            
69
      "data_extraction_page": 
69
      "data_extraction_page": 
            
70
gov.in/SHGandMemberProfileMonitoringAction.do?methodName=showViewNew",
70
gov.in/SHGandMemberProfileMonitoringAction.do?methodName=showViewNew",
            
71
      "data_insights": "The dataset reveals noteworthy disparities in 
71
      "data_insights": "The dataset reveals noteworthy disparities in 
            
72
Aadhar card adoption, banking accessibility, and demographic factors 
72
Aadhar card adoption, banking accessibility, and demographic factors 
            
73
across regions. Varied percentages of members lacking Aadhar cards and 
73
across regions. Varied percentages of members lacking Aadhar cards and 
            
74
bank accounts underscore socio-economic challenges. These insights 
74
bank accounts underscore socio-economic challenges. These insights 
            
75
offer a detailed picture of the community landscape, guiding targeted 
75
offer a detailed picture of the community landscape, guiding targeted 
            
76
interventions and policy decisions aimed at bridging disparities and 
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interventions and policy decisions aimed at bridging disparities and 
            
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fostering equitable development.",
77
fostering equitable development.",
            
78
      "data_last_updated": "2023",
78
      "data_last_updated": "2023",
            
79
      "data_retreival_date": "2023-08-15 00:00:00",
79
      "data_retreival_date": "2023-08-15 00:00:00",
            
80
      "datastore_active": true,
80
      "datastore_active": true,
            
81
      "description": "This dataset provides comprehensive 
81
      "description": "This dataset provides comprehensive 
            
82
socio-economic insights, encompassing vital information from 
82
socio-economic insights, encompassing vital information from 
            
83
state-level data down to individual self-help groups. It offers a 
83
state-level data down to individual self-help groups. It offers a 
            
84
detailed view of demographics, Aadhar card adoption, banking 
84
detailed view of demographics, Aadhar card adoption, banking 
            
85
accessibility, and more, facilitating a nuanced understanding of 
85
accessibility, and more, facilitating a nuanced understanding of 
            
86
regional disparities and community challenges. Researchers and 
86
regional disparities and community challenges. Researchers and 
            
87
policymakers can leverage this data to inform targeted interventions, 
87
policymakers can leverage this data to inform targeted interventions, 
            
88
fostering inclusive development and informed decision-making.",
88
fostering inclusive development and informed decision-making.",
            
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      "district_no": "739",
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      "district_no": "739",
            
90
      "format": "CSV",
90
      "format": "CSV",
            
91
      "frequency": "Other",
91
      "frequency": "Other",
            
92
      "gp_no": "212305",
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      "gp_no": "212305",
            
93
      "granularity": "SHG",
93
      "granularity": "SHG",
            
94
      "hash": "",
94
      "hash": "",
            
95
      "id": "f2196535-38e3-462c-a4c1-2930eb76678f",
95
      "id": "f2196535-38e3-462c-a4c1-2930eb76678f",
            
96
      "idp_ready": true,
96
      "idp_ready": true,
            
97
      "last_modified": "2023-10-10T11:02:29.678307",
97
      "last_modified": "2023-10-10T11:02:29.678307",
            
98
      "lgd_mapping": "yes",
98
      "lgd_mapping": "yes",
            
99
      "metadata_modified": "2024-09-03T12:20:50.862221",
99
      "metadata_modified": "2024-09-03T12:20:50.862221",
            
100
      "methodology": "The dataset was meticulously compiled through 
100
      "methodology": "The dataset was meticulously compiled through 
            
101
on-ground surveys and interviews conducted by trained enumerators. 
101
on-ground surveys and interviews conducted by trained enumerators. 
            
102
Standardized questionnaires were used, covering diverse topics like 
102
Standardized questionnaires were used, covering diverse topics like 
            
103
household demographics, financial inclusivity, and government program 
103
household demographics, financial inclusivity, and government program 
            
104
participation. Rigorous data validation and quality control measures 
104
participation. Rigorous data validation and quality control measures 
            
105
were applied to ensure accuracy and consistency, resulting in a 
105
were applied to ensure accuracy and consistency, resulting in a 
            
106
reliable and comprehensive dataset.",
106
reliable and comprehensive dataset.",
            
107
      "mimetype": null,
107
      "mimetype": null,
            
108
      "mimetype_inner": null,
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      "mimetype_inner": null,
            
109
      "name": "SHG And Member Profile",
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      "name": "SHG And Member Profile",
            
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      "no_indicators": "8",
110
      "no_indicators": "8",
            
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      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
111
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
            
112
      "position": 0,
112
      "position": 0,
            
113
      "resource_type": null,
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      "resource_type": null,
            
114
      "similar_resources": "feef1df7-59c6-43e3-b6ff-3594da5de862",
114
      "similar_resources": "feef1df7-59c6-43e3-b6ff-3594da5de862",
            
115
      "size": 1423000529,
115
      "size": 1423000529,
            
116
      "sku": "mord-nrlm_shg_profile-shg-ot-aaa",
116
      "sku": "mord-nrlm_shg_profile-shg-ot-aaa",
            
117
      "state": "active",
117
      "state": "active",
            
118
      "states_uts_no": "34",
118
      "states_uts_no": "34",
            
119
      "tehsil_no": "",
119
      "tehsil_no": "",
            
120
      "url": 
120
      "url": 
            
121
6535-38e3-462c-a4c1-2930eb76678f/download/shg-and-member-profile.csv",
121
6535-38e3-462c-a4c1-2930eb76678f/download/shg-and-member-profile.csv",
            
122
      "url_type": "upload",
122
      "url_type": "upload",
            
123
      "years_covered": "2016-2023"
123
      "years_covered": "2016-2023"
            
124
    },
124
    },
            
125
    {
125
    {
            
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      "additional_info": "Data for Ladakh not available on source",
126
      "additional_info": "Data for Ladakh not available on source",
            
127
      "cache_last_updated": null,
127
      "cache_last_updated": null,
            
128
      "cache_url": null,
128
      "cache_url": null,
            
129
      "created": "2024-09-03T00:56:48.313048",
129
      "created": "2024-09-03T00:56:48.313048",
            
130
      "data_extraction_page": 
130
      "data_extraction_page": 
            
131
"https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise",
131
"https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise",
            
132
      "data_insights": "The dataset offers a wealth of insights into 
132
      "data_insights": "The dataset offers a wealth of insights into 
            
133
the operational and demographic characteristics of Self-Help Groups 
133
the operational and demographic characteristics of Self-Help Groups 
            
134
(SHGs). Analyzing the geographic distribution, including state, 
134
(SHGs). Analyzing the geographic distribution, including state, 
            
135
district, block, Gram Panchayat, and village information, reveals the 
135
district, block, Gram Panchayat, and village information, reveals the 
            
136
spatial spread and concentration of SHGs, highlighting regions with 
136
spatial spread and concentration of SHGs, highlighting regions with 
            
137
varying levels of SHG activity. This can inform targeted support and 
137
varying levels of SHG activity. This can inform targeted support and 
            
138
resource allocation. The formation dates and SHG types enable the 
138
resource allocation. The formation dates and SHG types enable the 
            
139
tracking of trends over time, shedding light on the growth patterns 
139
tracking of trends over time, shedding light on the growth patterns 
            
140
and focus areas of SHG initiatives. Membership data, including total 
140
and focus areas of SHG initiatives. Membership data, including total 
            
141
numbers, gender distribution, and socio-economic classifications such 
141
numbers, gender distribution, and socio-economic classifications such 
            
142
as Scheduled Caste, Scheduled Tribe, and Other Backward Classes, 
142
as Scheduled Caste, Scheduled Tribe, and Other Backward Classes, 
            
143
provides a nuanced understanding of the demographic composition and 
143
provides a nuanced understanding of the demographic composition and 
            
144
inclusivity of SHGs. Insights into disability status and economic 
144
inclusivity of SHGs. Insights into disability status and economic 
            
145
classifications, such as Above Poverty Line (APL), Below Poverty Line 
145
classifications, such as Above Poverty Line (APL), Below Poverty Line 
            
146
(BPL), and Poorest of the Poor, further reveal the socio-economic 
146
(BPL), and Poorest of the Poor, further reveal the socio-economic 
            
147
challenges faced by SHG members. Overall, this dataset facilitates a 
147
challenges faced by SHG members. Overall, this dataset facilitates a 
            
148
comprehensive analysis of SHG dynamics, supporting evidence-based 
148
comprehensive analysis of SHG dynamics, supporting evidence-based 
            
149
policy-making and strategic planning aimed at enhancing the 
149
policy-making and strategic planning aimed at enhancing the 
            
150
effectiveness and reach of SHG programs.",
150
effectiveness and reach of SHG programs.",
            
151
      "data_last_updated": "2024",
151
      "data_last_updated": "2024",
            
152
      "data_retreival_date": "2024-08-18 00:00:00",
152
      "data_retreival_date": "2024-08-18 00:00:00",
            
153
      "datastore_active": true,
153
      "datastore_active": true,
            
154
      "description": "This dataset provides an extensive and nuanced 
154
      "description": "This dataset provides an extensive and nuanced 
            
155
profile of Self-Help Groups (SHGs) across diverse geographic and 
155
profile of Self-Help Groups (SHGs) across diverse geographic and 
            
156
socio-economic contexts. It includes detailed information on the SHG's 
156
socio-economic contexts. It includes detailed information on the SHG's 
            
157
location, specifying the state, district, block, Gram Panchayat, and 
157
location, specifying the state, district, block, Gram Panchayat, and 
            
158
village, alongside a unique SHG identifier and its name. Key 
158
village, alongside a unique SHG identifier and its name. Key 
            
159
administrative details such as the date of formation, type of SHG, 
159
administrative details such as the date of formation, type of SHG, 
            
160
promoting entity, and banking information\u2014including the bank 
160
promoting entity, and banking information\u2014including the bank 
            
161
name, branch, and account opening date\u2014are also recorded. The 
161
name, branch, and account opening date\u2014are also recorded. The 
            
162
dataset meticulously documents membership demographics, including 
162
dataset meticulously documents membership demographics, including 
            
163
total membership counts, gender distribution, and classifications by 
163
total membership counts, gender distribution, and classifications by 
            
164
social categories such as Scheduled Caste, Scheduled Tribe, Other 
164
social categories such as Scheduled Caste, Scheduled Tribe, Other 
            
165
Backward Classes, and Other Social Categories. Additionally, it 
165
Backward Classes, and Other Social Categories. Additionally, it 
            
166
captures data on members with disabilities, both self-disabled and 
166
captures data on members with disabilities, both self-disabled and 
            
167
those with disabled family members, and provides insights into 
167
those with disabled family members, and provides insights into 
            
168
religious affiliations (Hindu, Christian, Muslim, Sikh, Buddhist, 
168
religious affiliations (Hindu, Christian, Muslim, Sikh, Buddhist, 
            
169
Jain, Parsi) and economic status, distinguishing between Above Poverty 
169
Jain, Parsi) and economic status, distinguishing between Above Poverty 
            
170
Line (APL), Below Poverty Line (BPL), and Poorest of the Poor under 
170
Line (APL), Below Poverty Line (BPL), and Poorest of the Poor under 
            
171
the PIP category.",
171
the PIP category.",
            
172
      "district_no": "740",
172
      "district_no": "740",
            
173
      "format": "CSV",
173
      "format": "CSV",
            
174
      "frequency": "Other",
174
      "frequency": "Other",
            
175
      "gp_no": "242220",
175
      "gp_no": "242220",
            
176
      "granularity": "SHG",
176
      "granularity": "SHG",
            
177
      "hash": "",
177
      "hash": "",
            
178
      "id": "feef1df7-59c6-43e3-b6ff-3594da5de862",
178
      "id": "feef1df7-59c6-43e3-b6ff-3594da5de862",
            
179
      "idp_ready": true,
179
      "idp_ready": true,
            
180
      "indicators": [],
180
      "indicators": [],
            
181
      "last_modified": "2024-09-21T04:50:45.199805",
181
      "last_modified": "2024-09-21T04:50:45.199805",
            
182
      "lgd_mapping": "no",
182
      "lgd_mapping": "no",
            
183
      "metadata_modified": "2024-09-21T06:59:39.824499",
183
      "metadata_modified": "2024-09-21T06:59:39.824499",
            
184
      "methodology": "Data collection for Self-Help Groups (SHGs) 
184
      "methodology": "Data collection for Self-Help Groups (SHGs) 
            
185
under the National Rural Employment Guarantee Scheme (NRLM) follows a 
185
under the National Rural Employment Guarantee Scheme (NRLM) follows a 
            
186
structured methodology to ensure comprehensive and accurate 
186
structured methodology to ensure comprehensive and accurate 
            
187
information. The process begins with collecting basic SHG details, 
187
information. The process begins with collecting basic SHG details, 
            
188
including state, district, block, Gram Panchayat, village, SHG name, 
188
including state, district, block, Gram Panchayat, village, SHG name, 
            
189
formation date, type, promotion entity, and bank account information. 
189
formation date, type, promotion entity, and bank account information. 
            
190
Essential data points such as meeting frequency, bank linkage, savings 
190
Essential data points such as meeting frequency, bank linkage, savings 
            
191
per member, and loan account details are recorded. The methodology 
191
per member, and loan account details are recorded. The methodology 
            
192
also involves assessing the preparedness of SHGs through questions 
192
also involves assessing the preparedness of SHGs through questions 
            
193
about micro planning, basic training, bookkeeping practices, and the 
193
about micro planning, basic training, bookkeeping practices, and the 
            
194
identification of a bookkeeper.To support financial inclusion, the 
194
identification of a bookkeeper.To support financial inclusion, the 
            
195
data collection framework includes guidelines and multiple handbooks 
195
data collection framework includes guidelines and multiple handbooks 
            
196
outlining the roles and responsibilities of mission units at various 
196
outlining the roles and responsibilities of mission units at various 
            
197
levels. These handbooks provide standardized procedures and best 
197
levels. These handbooks provide standardized procedures and best 
            
198
practices for ensuring effective SHG bank linkages and financial 
198
practices for ensuring effective SHG bank linkages and financial 
            
199
management. The collected data is then used to analyze SHG performance 
199
management. The collected data is then used to analyze SHG performance 
            
200
and impact, informing strategic decisions and program enhancements.",
200
and impact, informing strategic decisions and program enhancements.",
            
201
      "mimetype": null,
201
      "mimetype": null,
            
202
      "mimetype_inner": null,
202
      "mimetype_inner": null,
            
203
      "name": "SHG Financial and Member Profile Details",
203
      "name": "SHG Financial and Member Profile Details",
            
204
      "no_indicators": "20",
204
      "no_indicators": "20",
            
205
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
205
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
            
206
      "position": 1,
206
      "position": 1,
            
207
      "resource_type": null,
207
      "resource_type": null,
            
208
      "similar_resources": "f2196535-38e3-462c-a4c1-2930eb76678f",
208
      "similar_resources": "f2196535-38e3-462c-a4c1-2930eb76678f",
            
209
      "size": 2523573543,
209
      "size": 2523573543,
            
210
      "sku": "mord-nrlm_social_category_wise-shg-ot-abc",
210
      "sku": "mord-nrlm_social_category_wise-shg-ot-abc",
            
211
      "state": "active",
211
      "state": "active",
            
212
      "states_uts_no": "33",
212
      "states_uts_no": "33",
            
213
      "tehsil_no": "",
213
      "tehsil_no": "",
            
214
      "url": 
214
      "url": 
            
215
f-3594da5de862/download/shg-financial-and-member-profile-details.csv",
215
f-3594da5de862/download/shg-financial-and-member-profile-details.csv",
            
216
      "url_type": "upload",
216
      "url_type": "upload",
            
217
      "years_covered": "nan"
217
      "years_covered": "nan"
            
218
    },
218
    },
            
219
    {
219
    {
            
220
      "additional_info": "nan",
220
      "additional_info": "nan",
            
221
      "cache_last_updated": null,
221
      "cache_last_updated": null,
            
222
      "cache_url": null,
222
      "cache_url": null,
            
223
      "created": "2025-05-23T04:14:33.087989",
223
      "created": "2025-05-23T04:14:33.087989",
            
224
      "data_extraction_page": 
224
      "data_extraction_page": 
            
225
://nrlm.gov.in/NRLMBankLinkageLoanReportAction.do?methodName=showshg",
225
://nrlm.gov.in/NRLMBankLinkageLoanReportAction.do?methodName=showshg",
            
226
      "data_insights": "By analyzing this dataset, users can uncover 
226
      "data_insights": "By analyzing this dataset, users can uncover 
            
227
regional disparities in SHG financing, track block-wise credit access, 
227
regional disparities in SHG financing, track block-wise credit access, 
            
228
and identify areas with high or low loan disbursement volumes. It 
228
and identify areas with high or low loan disbursement volumes. It 
            
229
supports evidence-based planning for financial literacy programs, 
229
supports evidence-based planning for financial literacy programs, 
            
230
resource allocation for rural credit schemes, and impact assessment of 
230
resource allocation for rural credit schemes, and impact assessment of 
            
231
SHG-linked livelihood interventions. Trends over time or across 
231
SHG-linked livelihood interventions. Trends over time or across 
            
232
geography can guide strategic decisions in rural development finance 
232
geography can guide strategic decisions in rural development finance 
            
233
and gender-focused economic empowerment initiatives.",
233
and gender-focused economic empowerment initiatives.",
            
234
      "data_last_updated": "24-04-2025",
234
      "data_last_updated": "24-04-2025",
            
235
      "data_retreival_date": "24-04-2025",
235
      "data_retreival_date": "24-04-2025",
            
236
      "datastore_active": true,
236
      "datastore_active": true,
            
237
      "description": "The SHG Loan Details Block Level dataset 
237
      "description": "The SHG Loan Details Block Level dataset 
            
238
provides a granular view of Self-Help Group (SHG) loan distributions 
238
provides a granular view of Self-Help Group (SHG) loan distributions 
            
239
across Indian blocks. Sourced from the National Rural Livelihoods 
239
across Indian blocks. Sourced from the National Rural Livelihoods 
            
240
Mission (NRLM), this dataset includes the number of SHGs and the total 
240
Mission (NRLM), this dataset includes the number of SHGs and the total 
            
241
loan amount disbursed at the block level. It is a valuable resource 
241
loan amount disbursed at the block level. It is a valuable resource 
            
242
for financial inclusion researchers, rural development analysts, and 
242
for financial inclusion researchers, rural development analysts, and 
            
243
policymakers aiming to evaluate microfinance outreach and impact 
243
policymakers aiming to evaluate microfinance outreach and impact 
            
244
across regions.",
244
across regions.",
            
245
      "district_no": "751",
245
      "district_no": "751",
            
246
      "format": "CSV",
246
      "format": "CSV",
            
247
      "frequency": "Other",
247
      "frequency": "Other",
            
n
n
248
      "gp_no": "",
            
248
      "granularity": "Block",
249
      "granularity": "Block",
            
249
      "hash": "",
250
      "hash": "",
            
250
      "id": "4f882423-ce12-4fde-8582-7b7696861f30",
251
      "id": "4f882423-ce12-4fde-8582-7b7696861f30",
            
251
      "idp_ready": false,
252
      "idp_ready": false,
            
n
n
253
      "indicators": [],
            
252
      "last_modified": "2025-05-23T04:14:33.055544",
254
      "last_modified": "2025-05-23T04:14:33.055544",
            
n
n
255
      "lgd_mapping": "partial",
            
256
      "mapping_status": 50,
            
253
      "metadata_modified": "2025-05-23T04:14:41.398796",
257
      "metadata_modified": "2025-05-23T04:15:54.033187",
            
254
      "methodology": "The SHG Loan Details Block Level dataset is 
258
      "methodology": "The SHG Loan Details Block Level dataset is 
            
255
compiled through a structured framework established by the National 
259
compiled through a structured framework established by the National 
            
256
Rural Livelihoods Mission (NRLM). Designated nodal officers at various 
260
Rural Livelihoods Mission (NRLM). Designated nodal officers at various 
            
257
administrative levels oversee data entry and verification processes, 
261
administrative levels oversee data entry and verification processes, 
            
258
which include SHG registrations, bank linkage records, and loan 
262
which include SHG registrations, bank linkage records, and loan 
            
259
disbursements.",
263
disbursements.",
            
n
260
      "mimetype": "text/csv",
n
264
      "mimetype": null,
            
261
      "mimetype_inner": null,
265
      "mimetype_inner": null,
            
262
      "name": "SHG Loan Details Block Level",
266
      "name": "SHG Loan Details Block Level",
            
263
      "no_indicators": "2",
267
      "no_indicators": "2",
            
264
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
268
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
            
265
      "position": 2,
269
      "position": 2,
            
266
      "resource_type": null,
270
      "resource_type": null,
            
n
267
      "similar_datasets": [],
n
271
      "similar_resources": "",
            
268
      "size": 537482,
272
      "size": 537482,
            
269
      "sku": "mord-nrlm_bank_linkage-bl-ot-abc",
273
      "sku": "mord-nrlm_bank_linkage-bl-ot-abc",
            
270
      "state": "active",
274
      "state": "active",
            
271
      "states_uts_no": "34",
275
      "states_uts_no": "34",
            
t
272
      "tags": [
t

            
273
        "Self-Help Groups",

            
274
        "Microfinance",

            
275
        "Rural Development",

            
276
        "Financial Inclusion",

            
277
        "NRLM",

            
278
        "SHG Loans",

            
279
        "Livelihood Programs"

            
280
      ],

            
281
      "tehsil_no": "6938",
276
      "tehsil_no": "6938",
            
282
      "url": 
277
      "url": 
            
283
e12-4fde-8582-7b7696861f30/download/shg-loan-details-block-level.csv",
278
e12-4fde-8582-7b7696861f30/download/shg-loan-details-block-level.csv",
            
284
      "url_type": "upload",
279
      "url_type": "upload",
            
285
      "years_covered": "nan"
280
      "years_covered": "nan"
            
286
    }
281
    }
            
287
  ],
282
  ],
            
288
  "sector": [
283
  "sector": [
            
289
    "Financial Inclusion",
284
    "Financial Inclusion",
            
290
    "Rural Development"
285
    "Rural Development"
            
291
  ],
286
  ],
            
292
  "source_name": "Ministry of Rural Development",
287
  "source_name": "Ministry of Rural Development",
            
293
  "state": "active",
288
  "state": "active",
            
294
  "tags": [
289
  "tags": [
            
295
    {
290
    {
            
296
      "display_name": "rural development",
291
      "display_name": "rural development",
            
297
      "id": "9724ee9f-a0d8-446a-83f4-8a75bb8227b8",
292
      "id": "9724ee9f-a0d8-446a-83f4-8a75bb8227b8",
            
298
      "name": "rural development",
293
      "name": "rural development",
            
299
      "state": "active",
294
      "state": "active",
            
300
      "vocabulary_id": null
295
      "vocabulary_id": null
            
301
    },
296
    },
            
302
    {
297
    {
            
303
      "display_name": "shg",
298
      "display_name": "shg",
            
304
      "id": "79f0010b-d5ef-401c-a097-cb4db494e7ca",
299
      "id": "79f0010b-d5ef-401c-a097-cb4db494e7ca",
            
305
      "name": "shg",
300
      "name": "shg",
            
306
      "state": "active",
301
      "state": "active",
            
307
      "vocabulary_id": null
302
      "vocabulary_id": null
            
308
    }
303
    }
            
309
  ],
304
  ],
            
310
  "title": "NRLM (National Rural Livelihoods Mission)",
305
  "title": "NRLM (National Rural Livelihoods Mission)",
            
311
  "type": "dataset",
306
  "type": "dataset",
            
312
  "url": "https://nrlm.gov.in/",
307
  "url": "https://nrlm.gov.in/",
            
313
  "version": null
308
  "version": null
            
314
}
309
}