Changes

              
    

          
          
        
        

            
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": "2025-05-23T04:14:41.393925",
n
32
  "metadata_modified": "2025-05-23T04:14:41.657770",
            
33
  "name": "nrlm-national-rural-livelihoods-mission",
33
  "name": "nrlm-national-rural-livelihoods-mission",
            
n
34
  "notes": "The NRLM (National Rural Livelihood Mission) package 
n
34
  "notes": "The package offers a powerful lens into the rural 
            
35
provides comprehensive datasets for analyzing Self Help Groups (SHGs) 
35
self-help group (SHG) ecosystem in India, capturing detailed data on 
            
36
across various administrative levels. It includes detailed financial 
36
member demographics, financial inclusion, and institutional support. 
            
37
information, such as SHG formation dates, types, and bank account 
37
It includes indicators on gender, caste, religion, disability, and 
            
38
registrations, along with extensive demographic data on members. This 
38
poverty levels, alongside insights into Aadhaar linkage, bank account 
            
39
encompasses categorizations by gender, caste, disability status, 
39
access, and SECC integration. The data also tracks SHG formation, 
            
40
religion, and poverty levels. Additionally, the package offers 
40
promotion, and credit flow at the block level, helping users assess 
            
41
valuable insights into member identification and financial inclusion, 
41
the reach, depth, and impact of rural financial systems. Ideal for 
            
42
detailing the total number of SHG members and their status with 
42
researchers and practitioners, this package provides a grounded, 
            
43
respect to Aadhar cards, bank accounts, and Aadhar-seeded bank 
43
data-rich foundation for understanding and improving grassroots 
            
44
accounts.Together, these datasets facilitate a deep understanding of 
44
development.",
            
45
SHG operations, financial health, and member demographics, supporting 

            
46
robust research and policy development aimed at enhancing rural 

            
47
livelihoods and financial inclusion.",

            
48
  "num_resources": 3,
45
  "num_resources": 3,
            
n
49
  "num_tags": 2,
n
46
  "num_tags": 4,
            
50
  "organization": {
47
  "organization": {
            
51
    "approval_status": "approved",
48
    "approval_status": "approved",
            
52
    "created": "2022-12-05T03:44:54.080358",
49
    "created": "2022-12-05T03:44:54.080358",
            
53
    "description": "",
50
    "description": "",
            
54
    "id": "94317457-d297-4549-9640-7865034682c5",
51
    "id": "94317457-d297-4549-9640-7865034682c5",
            
55
    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
52
    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
56
    "is_organization": true,
53
    "is_organization": true,
            
57
    "name": "idp-organization",
54
    "name": "idp-organization",
            
58
    "state": "active",
55
    "state": "active",
            
59
    "title": "IDP organization",
56
    "title": "IDP organization",
            
60
    "type": "organization"
57
    "type": "organization"
            
61
  },
58
  },
            
62
  "owner_org": "94317457-d297-4549-9640-7865034682c5",
59
  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
63
  "private": false,
60
  "private": false,
            
64
  "relationships_as_object": [],
61
  "relationships_as_object": [],
            
65
  "relationships_as_subject": [],
62
  "relationships_as_subject": [],
            
66
  "resources": [
63
  "resources": [
            
67
    {
64
    {
            
68
      "additional_info": "nan",
65
      "additional_info": "nan",
            
69
      "cache_last_updated": null,
66
      "cache_last_updated": null,
            
70
      "cache_url": null,
67
      "cache_url": null,
            
71
      "created": "2023-10-10T11:02:29.733483",
68
      "created": "2023-10-10T11:02:29.733483",
            
72
      "data_extraction_page": 
69
      "data_extraction_page": 
            
73
gov.in/SHGandMemberProfileMonitoringAction.do?methodName=showViewNew",
70
gov.in/SHGandMemberProfileMonitoringAction.do?methodName=showViewNew",
            
74
      "data_insights": "The dataset reveals noteworthy disparities in 
71
      "data_insights": "The dataset reveals noteworthy disparities in 
            
75
Aadhar card adoption, banking accessibility, and demographic factors 
72
Aadhar card adoption, banking accessibility, and demographic factors 
            
76
across regions. Varied percentages of members lacking Aadhar cards and 
73
across regions. Varied percentages of members lacking Aadhar cards and 
            
77
bank accounts underscore socio-economic challenges. These insights 
74
bank accounts underscore socio-economic challenges. These insights 
            
78
offer a detailed picture of the community landscape, guiding targeted 
75
offer a detailed picture of the community landscape, guiding targeted 
            
79
interventions and policy decisions aimed at bridging disparities and 
76
interventions and policy decisions aimed at bridging disparities and 
            
80
fostering equitable development.",
77
fostering equitable development.",
            
81
      "data_last_updated": "2023",
78
      "data_last_updated": "2023",
            
82
      "data_retreival_date": "2023-08-15 00:00:00",
79
      "data_retreival_date": "2023-08-15 00:00:00",
            
83
      "datastore_active": true,
80
      "datastore_active": true,
            
84
      "description": "This dataset provides comprehensive 
81
      "description": "This dataset provides comprehensive 
            
85
socio-economic insights, encompassing vital information from 
82
socio-economic insights, encompassing vital information from 
            
86
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 
            
87
detailed view of demographics, Aadhar card adoption, banking 
84
detailed view of demographics, Aadhar card adoption, banking 
            
88
accessibility, and more, facilitating a nuanced understanding of 
85
accessibility, and more, facilitating a nuanced understanding of 
            
89
regional disparities and community challenges. Researchers and 
86
regional disparities and community challenges. Researchers and 
            
90
policymakers can leverage this data to inform targeted interventions, 
87
policymakers can leverage this data to inform targeted interventions, 
            
91
fostering inclusive development and informed decision-making.",
88
fostering inclusive development and informed decision-making.",
            
92
      "district_no": "739",
89
      "district_no": "739",
            
93
      "format": "CSV",
90
      "format": "CSV",
            
94
      "frequency": "Other",
91
      "frequency": "Other",
            
95
      "gp_no": "212305",
92
      "gp_no": "212305",
            
96
      "granularity": "SHG",
93
      "granularity": "SHG",
            
97
      "hash": "",
94
      "hash": "",
            
98
      "id": "f2196535-38e3-462c-a4c1-2930eb76678f",
95
      "id": "f2196535-38e3-462c-a4c1-2930eb76678f",
            
99
      "idp_ready": true,
96
      "idp_ready": true,
            
100
      "last_modified": "2023-10-10T11:02:29.678307",
97
      "last_modified": "2023-10-10T11:02:29.678307",
            
101
      "lgd_mapping": "yes",
98
      "lgd_mapping": "yes",
            
102
      "metadata_modified": "2024-09-03T12:20:50.862221",
99
      "metadata_modified": "2024-09-03T12:20:50.862221",
            
103
      "methodology": "The dataset was meticulously compiled through 
100
      "methodology": "The dataset was meticulously compiled through 
            
104
on-ground surveys and interviews conducted by trained enumerators. 
101
on-ground surveys and interviews conducted by trained enumerators. 
            
105
Standardized questionnaires were used, covering diverse topics like 
102
Standardized questionnaires were used, covering diverse topics like 
            
106
household demographics, financial inclusivity, and government program 
103
household demographics, financial inclusivity, and government program 
            
107
participation. Rigorous data validation and quality control measures 
104
participation. Rigorous data validation and quality control measures 
            
108
were applied to ensure accuracy and consistency, resulting in a 
105
were applied to ensure accuracy and consistency, resulting in a 
            
109
reliable and comprehensive dataset.",
106
reliable and comprehensive dataset.",
            
110
      "mimetype": null,
107
      "mimetype": null,
            
111
      "mimetype_inner": null,
108
      "mimetype_inner": null,
            
112
      "name": "SHG And Member Profile",
109
      "name": "SHG And Member Profile",
            
113
      "no_indicators": "8",
110
      "no_indicators": "8",
            
114
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
111
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
            
115
      "position": 0,
112
      "position": 0,
            
116
      "resource_type": null,
113
      "resource_type": null,
            
117
      "similar_resources": "feef1df7-59c6-43e3-b6ff-3594da5de862",
114
      "similar_resources": "feef1df7-59c6-43e3-b6ff-3594da5de862",
            
118
      "size": 1423000529,
115
      "size": 1423000529,
            
119
      "sku": "mord-nrlm_shg_profile-shg-ot-aaa",
116
      "sku": "mord-nrlm_shg_profile-shg-ot-aaa",
            
120
      "state": "active",
117
      "state": "active",
            
121
      "states_uts_no": "34",
118
      "states_uts_no": "34",
            
122
      "tehsil_no": "",
119
      "tehsil_no": "",
            
123
      "url": 
120
      "url": 
            
124
6535-38e3-462c-a4c1-2930eb76678f/download/shg-and-member-profile.csv",
121
6535-38e3-462c-a4c1-2930eb76678f/download/shg-and-member-profile.csv",
            
125
      "url_type": "upload",
122
      "url_type": "upload",
            
126
      "years_covered": "2016-2023"
123
      "years_covered": "2016-2023"
            
127
    },
124
    },
            
128
    {
125
    {
            
129
      "additional_info": "Data for Ladakh not available on source",
126
      "additional_info": "Data for Ladakh not available on source",
            
130
      "cache_last_updated": null,
127
      "cache_last_updated": null,
            
131
      "cache_url": null,
128
      "cache_url": null,
            
132
      "created": "2024-09-03T00:56:48.313048",
129
      "created": "2024-09-03T00:56:48.313048",
            
133
      "data_extraction_page": 
130
      "data_extraction_page": 
            
134
"https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise",
131
"https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise",
            
135
      "data_insights": "The dataset offers a wealth of insights into 
132
      "data_insights": "The dataset offers a wealth of insights into 
            
136
the operational and demographic characteristics of Self-Help Groups 
133
the operational and demographic characteristics of Self-Help Groups 
            
137
(SHGs). Analyzing the geographic distribution, including state, 
134
(SHGs). Analyzing the geographic distribution, including state, 
            
138
district, block, Gram Panchayat, and village information, reveals the 
135
district, block, Gram Panchayat, and village information, reveals the 
            
139
spatial spread and concentration of SHGs, highlighting regions with 
136
spatial spread and concentration of SHGs, highlighting regions with 
            
140
varying levels of SHG activity. This can inform targeted support and 
137
varying levels of SHG activity. This can inform targeted support and 
            
141
resource allocation. The formation dates and SHG types enable the 
138
resource allocation. The formation dates and SHG types enable the 
            
142
tracking of trends over time, shedding light on the growth patterns 
139
tracking of trends over time, shedding light on the growth patterns 
            
143
and focus areas of SHG initiatives. Membership data, including total 
140
and focus areas of SHG initiatives. Membership data, including total 
            
144
numbers, gender distribution, and socio-economic classifications such 
141
numbers, gender distribution, and socio-economic classifications such 
            
145
as Scheduled Caste, Scheduled Tribe, and Other Backward Classes, 
142
as Scheduled Caste, Scheduled Tribe, and Other Backward Classes, 
            
146
provides a nuanced understanding of the demographic composition and 
143
provides a nuanced understanding of the demographic composition and 
            
147
inclusivity of SHGs. Insights into disability status and economic 
144
inclusivity of SHGs. Insights into disability status and economic 
            
148
classifications, such as Above Poverty Line (APL), Below Poverty Line 
145
classifications, such as Above Poverty Line (APL), Below Poverty Line 
            
149
(BPL), and Poorest of the Poor, further reveal the socio-economic 
146
(BPL), and Poorest of the Poor, further reveal the socio-economic 
            
150
challenges faced by SHG members. Overall, this dataset facilitates a 
147
challenges faced by SHG members. Overall, this dataset facilitates a 
            
151
comprehensive analysis of SHG dynamics, supporting evidence-based 
148
comprehensive analysis of SHG dynamics, supporting evidence-based 
            
152
policy-making and strategic planning aimed at enhancing the 
149
policy-making and strategic planning aimed at enhancing the 
            
153
effectiveness and reach of SHG programs.",
150
effectiveness and reach of SHG programs.",
            
154
      "data_last_updated": "2024",
151
      "data_last_updated": "2024",
            
155
      "data_retreival_date": "2024-08-18 00:00:00",
152
      "data_retreival_date": "2024-08-18 00:00:00",
            
156
      "datastore_active": true,
153
      "datastore_active": true,
            
157
      "description": "This dataset provides an extensive and nuanced 
154
      "description": "This dataset provides an extensive and nuanced 
            
158
profile of Self-Help Groups (SHGs) across diverse geographic and 
155
profile of Self-Help Groups (SHGs) across diverse geographic and 
            
159
socio-economic contexts. It includes detailed information on the SHG's 
156
socio-economic contexts. It includes detailed information on the SHG's 
            
160
location, specifying the state, district, block, Gram Panchayat, and 
157
location, specifying the state, district, block, Gram Panchayat, and 
            
161
village, alongside a unique SHG identifier and its name. Key 
158
village, alongside a unique SHG identifier and its name. Key 
            
162
administrative details such as the date of formation, type of SHG, 
159
administrative details such as the date of formation, type of SHG, 
            
163
promoting entity, and banking information\u2014including the bank 
160
promoting entity, and banking information\u2014including the bank 
            
164
name, branch, and account opening date\u2014are also recorded. The 
161
name, branch, and account opening date\u2014are also recorded. The 
            
165
dataset meticulously documents membership demographics, including 
162
dataset meticulously documents membership demographics, including 
            
166
total membership counts, gender distribution, and classifications by 
163
total membership counts, gender distribution, and classifications by 
            
167
social categories such as Scheduled Caste, Scheduled Tribe, Other 
164
social categories such as Scheduled Caste, Scheduled Tribe, Other 
            
168
Backward Classes, and Other Social Categories. Additionally, it 
165
Backward Classes, and Other Social Categories. Additionally, it 
            
169
captures data on members with disabilities, both self-disabled and 
166
captures data on members with disabilities, both self-disabled and 
            
170
those with disabled family members, and provides insights into 
167
those with disabled family members, and provides insights into 
            
171
religious affiliations (Hindu, Christian, Muslim, Sikh, Buddhist, 
168
religious affiliations (Hindu, Christian, Muslim, Sikh, Buddhist, 
            
172
Jain, Parsi) and economic status, distinguishing between Above Poverty 
169
Jain, Parsi) and economic status, distinguishing between Above Poverty 
            
173
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 
            
174
the PIP category.",
171
the PIP category.",
            
175
      "district_no": "740",
172
      "district_no": "740",
            
176
      "format": "CSV",
173
      "format": "CSV",
            
177
      "frequency": "Other",
174
      "frequency": "Other",
            
178
      "gp_no": "242220",
175
      "gp_no": "242220",
            
179
      "granularity": "SHG",
176
      "granularity": "SHG",
            
180
      "hash": "",
177
      "hash": "",
            
181
      "id": "feef1df7-59c6-43e3-b6ff-3594da5de862",
178
      "id": "feef1df7-59c6-43e3-b6ff-3594da5de862",
            
182
      "idp_ready": true,
179
      "idp_ready": true,
            
183
      "indicators": [],
180
      "indicators": [],
            
184
      "last_modified": "2024-09-21T04:50:45.199805",
181
      "last_modified": "2024-09-21T04:50:45.199805",
            
185
      "lgd_mapping": "no",
182
      "lgd_mapping": "no",
            
186
      "metadata_modified": "2024-09-21T06:59:39.824499",
183
      "metadata_modified": "2024-09-21T06:59:39.824499",
            
187
      "methodology": "Data collection for Self-Help Groups (SHGs) 
184
      "methodology": "Data collection for Self-Help Groups (SHGs) 
            
188
under the National Rural Employment Guarantee Scheme (NRLM) follows a 
185
under the National Rural Employment Guarantee Scheme (NRLM) follows a 
            
189
structured methodology to ensure comprehensive and accurate 
186
structured methodology to ensure comprehensive and accurate 
            
190
information. The process begins with collecting basic SHG details, 
187
information. The process begins with collecting basic SHG details, 
            
191
including state, district, block, Gram Panchayat, village, SHG name, 
188
including state, district, block, Gram Panchayat, village, SHG name, 
            
192
formation date, type, promotion entity, and bank account information. 
189
formation date, type, promotion entity, and bank account information. 
            
193
Essential data points such as meeting frequency, bank linkage, savings 
190
Essential data points such as meeting frequency, bank linkage, savings 
            
194
per member, and loan account details are recorded. The methodology 
191
per member, and loan account details are recorded. The methodology 
            
195
also involves assessing the preparedness of SHGs through questions 
192
also involves assessing the preparedness of SHGs through questions 
            
196
about micro planning, basic training, bookkeeping practices, and the 
193
about micro planning, basic training, bookkeeping practices, and the 
            
197
identification of a bookkeeper.To support financial inclusion, the 
194
identification of a bookkeeper.To support financial inclusion, the 
            
198
data collection framework includes guidelines and multiple handbooks 
195
data collection framework includes guidelines and multiple handbooks 
            
199
outlining the roles and responsibilities of mission units at various 
196
outlining the roles and responsibilities of mission units at various 
            
200
levels. These handbooks provide standardized procedures and best 
197
levels. These handbooks provide standardized procedures and best 
            
201
practices for ensuring effective SHG bank linkages and financial 
198
practices for ensuring effective SHG bank linkages and financial 
            
202
management. The collected data is then used to analyze SHG performance 
199
management. The collected data is then used to analyze SHG performance 
            
203
and impact, informing strategic decisions and program enhancements.",
200
and impact, informing strategic decisions and program enhancements.",
            
204
      "mimetype": null,
201
      "mimetype": null,
            
205
      "mimetype_inner": null,
202
      "mimetype_inner": null,
            
206
      "name": "SHG Financial and Member Profile Details",
203
      "name": "SHG Financial and Member Profile Details",
            
207
      "no_indicators": "20",
204
      "no_indicators": "20",
            
208
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
205
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
            
209
      "position": 1,
206
      "position": 1,
            
210
      "resource_type": null,
207
      "resource_type": null,
            
211
      "similar_resources": "f2196535-38e3-462c-a4c1-2930eb76678f",
208
      "similar_resources": "f2196535-38e3-462c-a4c1-2930eb76678f",
            
212
      "size": 2523573543,
209
      "size": 2523573543,
            
213
      "sku": "mord-nrlm_social_category_wise-shg-ot-abc",
210
      "sku": "mord-nrlm_social_category_wise-shg-ot-abc",
            
214
      "state": "active",
211
      "state": "active",
            
215
      "states_uts_no": "33",
212
      "states_uts_no": "33",
            
216
      "tehsil_no": "",
213
      "tehsil_no": "",
            
217
      "url": 
214
      "url": 
            
218
f-3594da5de862/download/shg-financial-and-member-profile-details.csv",
215
f-3594da5de862/download/shg-financial-and-member-profile-details.csv",
            
219
      "url_type": "upload",
216
      "url_type": "upload",
            
220
      "years_covered": "nan"
217
      "years_covered": "nan"
            
221
    },
218
    },
            
222
    {
219
    {
            
223
      "additional_info": "nan",
220
      "additional_info": "nan",
            
224
      "cache_last_updated": null,
221
      "cache_last_updated": null,
            
225
      "cache_url": null,
222
      "cache_url": null,
            
226
      "created": "2025-05-23T04:14:33.087989",
223
      "created": "2025-05-23T04:14:33.087989",
            
227
      "data_extraction_page": 
224
      "data_extraction_page": 
            
228
://nrlm.gov.in/NRLMBankLinkageLoanReportAction.do?methodName=showshg",
225
://nrlm.gov.in/NRLMBankLinkageLoanReportAction.do?methodName=showshg",
            
229
      "data_insights": "By analyzing this dataset, users can uncover 
226
      "data_insights": "By analyzing this dataset, users can uncover 
            
230
regional disparities in SHG financing, track block-wise credit access, 
227
regional disparities in SHG financing, track block-wise credit access, 
            
231
and identify areas with high or low loan disbursement volumes. It 
228
and identify areas with high or low loan disbursement volumes. It 
            
232
supports evidence-based planning for financial literacy programs, 
229
supports evidence-based planning for financial literacy programs, 
            
233
resource allocation for rural credit schemes, and impact assessment of 
230
resource allocation for rural credit schemes, and impact assessment of 
            
234
SHG-linked livelihood interventions. Trends over time or across 
231
SHG-linked livelihood interventions. Trends over time or across 
            
235
geography can guide strategic decisions in rural development finance 
232
geography can guide strategic decisions in rural development finance 
            
236
and gender-focused economic empowerment initiatives.",
233
and gender-focused economic empowerment initiatives.",
            
237
      "data_last_updated": "24-04-2025",
234
      "data_last_updated": "24-04-2025",
            
238
      "data_retreival_date": "24-04-2025",
235
      "data_retreival_date": "24-04-2025",
            
239
      "datastore_active": true,
236
      "datastore_active": true,
            
240
      "description": "The SHG Loan Details Block Level dataset 
237
      "description": "The SHG Loan Details Block Level dataset 
            
241
provides a granular view of Self-Help Group (SHG) loan distributions 
238
provides a granular view of Self-Help Group (SHG) loan distributions 
            
242
across Indian blocks. Sourced from the National Rural Livelihoods 
239
across Indian blocks. Sourced from the National Rural Livelihoods 
            
243
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 
            
244
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 
            
245
for financial inclusion researchers, rural development analysts, and 
242
for financial inclusion researchers, rural development analysts, and 
            
246
policymakers aiming to evaluate microfinance outreach and impact 
243
policymakers aiming to evaluate microfinance outreach and impact 
            
247
across regions.",
244
across regions.",
            
248
      "district_no": "751",
245
      "district_no": "751",
            
249
      "format": "CSV",
246
      "format": "CSV",
            
250
      "frequency": "Other",
247
      "frequency": "Other",
            
251
      "granularity": "Block",
248
      "granularity": "Block",
            
252
      "hash": "",
249
      "hash": "",
            
253
      "id": "4f882423-ce12-4fde-8582-7b7696861f30",
250
      "id": "4f882423-ce12-4fde-8582-7b7696861f30",
            
254
      "idp_ready": false,
251
      "idp_ready": false,
            
255
      "last_modified": "2025-05-23T04:14:33.055544",
252
      "last_modified": "2025-05-23T04:14:33.055544",
            
256
      "metadata_modified": "2025-05-23T04:14:41.398796",
253
      "metadata_modified": "2025-05-23T04:14:41.398796",
            
257
      "methodology": "The SHG Loan Details Block Level dataset is 
254
      "methodology": "The SHG Loan Details Block Level dataset is 
            
258
compiled through a structured framework established by the National 
255
compiled through a structured framework established by the National 
            
259
Rural Livelihoods Mission (NRLM). Designated nodal officers at various 
256
Rural Livelihoods Mission (NRLM). Designated nodal officers at various 
            
260
administrative levels oversee data entry and verification processes, 
257
administrative levels oversee data entry and verification processes, 
            
261
which include SHG registrations, bank linkage records, and loan 
258
which include SHG registrations, bank linkage records, and loan 
            
262
disbursements.",
259
disbursements.",
            
263
      "mimetype": "text/csv",
260
      "mimetype": "text/csv",
            
264
      "mimetype_inner": null,
261
      "mimetype_inner": null,
            
265
      "name": "SHG Loan Details Block Level",
262
      "name": "SHG Loan Details Block Level",
            
266
      "no_indicators": "2",
263
      "no_indicators": "2",
            
267
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
264
      "package_id": "970f9b8f-65bd-4dad-849f-8b57b822c9dd",
            
268
      "position": 2,
265
      "position": 2,
            
269
      "resource_type": null,
266
      "resource_type": null,
            
270
      "similar_datasets": [],
267
      "similar_datasets": [],
            
271
      "size": 537482,
268
      "size": 537482,
            
272
      "sku": "mord-nrlm_bank_linkage-bl-ot-abc",
269
      "sku": "mord-nrlm_bank_linkage-bl-ot-abc",
            
273
      "state": "active",
270
      "state": "active",
            
274
      "states_uts_no": "34",
271
      "states_uts_no": "34",
            
275
      "tags": [
272
      "tags": [
            
276
        "Self-Help Groups",
273
        "Self-Help Groups",
            
277
        "Microfinance",
274
        "Microfinance",
            
278
        "Rural Development",
275
        "Rural Development",
            
279
        "Financial Inclusion",
276
        "Financial Inclusion",
            
280
        "NRLM",
277
        "NRLM",
            
281
        "SHG Loans",
278
        "SHG Loans",
            
282
        "Livelihood Programs"
279
        "Livelihood Programs"
            
283
      ],
280
      ],
            
284
      "tehsil_no": "6938",
281
      "tehsil_no": "6938",
            
285
      "url": 
282
      "url": 
            
286
e12-4fde-8582-7b7696861f30/download/shg-loan-details-block-level.csv",
283
e12-4fde-8582-7b7696861f30/download/shg-loan-details-block-level.csv",
            
287
      "url_type": "upload",
284
      "url_type": "upload",
            
288
      "years_covered": "nan"
285
      "years_covered": "nan"
            
289
    }
286
    }
            
290
  ],
287
  ],
            
t
291
  "sector": [],
t
288
  "sector": [
            
289
    "Financial Inclusion",
            
290
    "Rural Development"
            
291
  ],
            
292
  "source_name": "Ministry of Rural Development",
292
  "source_name": "Ministry of Rural Development",
            
293
  "state": "active",
293
  "state": "active",
            
294
  "tags": [
294
  "tags": [
            
295
    {
295
    {
            
296
      "display_name": "rural development",
296
      "display_name": "rural development",
            
297
      "id": "9724ee9f-a0d8-446a-83f4-8a75bb8227b8",
297
      "id": "9724ee9f-a0d8-446a-83f4-8a75bb8227b8",
            
298
      "name": "rural development",
298
      "name": "rural development",
            
299
      "state": "active",
299
      "state": "active",
            
300
      "vocabulary_id": null
300
      "vocabulary_id": null
            
301
    },
301
    },
            
302
    {
302
    {
            
303
      "display_name": "shg",
303
      "display_name": "shg",
            
304
      "id": "79f0010b-d5ef-401c-a097-cb4db494e7ca",
304
      "id": "79f0010b-d5ef-401c-a097-cb4db494e7ca",
            
305
      "name": "shg",
305
      "name": "shg",
            
306
      "state": "active",
306
      "state": "active",
            
307
      "vocabulary_id": null
307
      "vocabulary_id": null
            
308
    }
308
    }
            
309
  ],
309
  ],
            
310
  "title": "NRLM (National Rural Livelihoods Mission)",
310
  "title": "NRLM (National Rural Livelihoods Mission)",
            
311
  "type": "dataset",
311
  "type": "dataset",
            
312
  "url": "https://nrlm.gov.in/",
312
  "url": "https://nrlm.gov.in/",
            
313
  "version": null
313
  "version": null
            
314
}
314
}