NRLM (National Rural Livelihoods Mission) - SHG Financial and Member Profile Details

This dataset provides an extensive and nuanced profile of Self-Help Groups (SHGs) across diverse geographic and socio-economic contexts. It includes detailed information on the SHG's location, specifying the state, district, block, Gram Panchayat, and village, alongside a unique SHG identifier and its name. Key administrative details such as the date of formation, type of SHG, promoting entity, and banking informationâ€”including the bank name, branch, and account opening dateâ€”are also recorded. The dataset meticulously documents membership demographics, including total membership counts, gender distribution, and classifications by social categories such as Scheduled Caste, Scheduled Tribe, Other Backward Classes, and Other Social Categories. Additionally, it captures data on members with disabilities, both self-disabled and those with disabled family members, and provides insights into religious affiliations (Hindu, Christian, Muslim, Sikh, Buddhist, Jain, Parsi) and economic status, distinguishing between Above Poverty Line (APL), Below Poverty Line (BPL), and Poorest of the Poor under the PIP category.

Data Dictionary

Column	Type	Label
id	int4	index
state_name	text	State Name
district_name	text	District name
block_name	text	Block Name
gp_name	text	Gram Panchayat Name
village_name	text	Village Name
shg_name	text	Self Help Group Name
shg_id	text	Self Help Group ID
formation_date	date	Date of Formation of SHG
shg_type	text	Type of SHG
promoted_by	text	SHG Promoted By
bank_name	text	Name of the bank where SHG is registered
bank_branch	text	Name of the bank branch where SHG is registered
acc_opening_date	text	Date of opening of Bank Account
total_members	numeric	Number of members in SHG
female	numeric	Number of female members in SHG
male	numeric	Number of male members in SHG
sc	numeric	Number of Scheduled Caste members in SHG
st	numeric	Number of Scheduled Tribe members in SHG
obc	numeric	Number of members belonging to Other Backward Classes
other_category	numeric	Number of members belonging to Other Social Categories
disabled	numeric	Number of members with disabilities
family_mem_disabled	numeric	Number of members with a disabled family member
hindu	numeric	Number of Hindu members
christian	numeric	Number of Christian members
muslim	numeric	Number of Muslim members
sikh	numeric	Number of Sikh members
buddhist	numeric	Number of Buddhist members
jain	numeric	Number of Jain members
parsi	numeric	Number of Parsi members
apl	numeric	Number of members categorized as Above Poverty Line (APL)
bpl	numeric	Number of members categorized as Below Poverty Line (BPL)
pop	numeric	Number of members categorized as Poorest of the Poor under PIP category
poor	numeric	Number of members categorized as Poor under PIP category

Column

Type

Label

Description

int4

index

state_name

text

State Name

district_name

text

District name

block_name

text

Block Name

gp_name

text

Gram Panchayat Name

village_name

text

Village Name

shg_name

text

Self Help Group Name

shg_id

text

Self Help Group ID

formation_date

date

Date of Formation of SHG

shg_type

text

Type of SHG

promoted_by

text

SHG Promoted By

bank_name

text

Name of the bank where SHG is registered

bank_branch

text

Name of the bank branch where SHG is registered

acc_opening_date

text

Date of opening of Bank Account

total_members

numeric

Number of members in SHG

female

numeric

Number of female members in SHG

male

numeric

Number of male members in SHG

numeric

Number of Scheduled Caste members in SHG

numeric

Number of Scheduled Tribe members in SHG

obc

numeric

Number of members belonging to Other Backward Classes

other_category

numeric

Number of members belonging to Other Social Categories

disabled

numeric

Number of members with disabilities

family_mem_disabled

numeric

Number of members with a disabled family member

hindu

numeric

Number of Hindu members

christian

numeric

Number of Christian members

muslim

numeric

Number of Muslim members

sikh

numeric

Number of Sikh members

buddhist

numeric

Number of Buddhist members

jain

numeric

Number of Jain members

parsi

numeric

Number of Parsi members

apl

numeric

Number of members categorized as Above Poverty Line (APL)

bpl

numeric

Number of members categorized as Below Poverty Line (BPL)

pop

numeric

Number of members categorized as Poorest of the Poor under PIP category

poor

numeric

Number of members categorized as Poor under PIP category

Additional Information

Field	Value
Data last updated	October 23, 2025
Metadata last updated	October 23, 2025
Created	October 23, 2025
Format	CSV
License	Open Data Commons Attribution License
Additional info	Data for Ladakh not available on source
Data extraction page	https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise
Data insights	The dataset offers a wealth of insights into the operational and demographic characteristics of Self-Help Groups (SHGs). Analyzing the geographic distribution, including state, district, block, Gram Panchayat, and village information, reveals the spatial spread and concentration of SHGs, highlighting regions with varying levels of SHG activity. This can inform targeted support and resource allocation. The formation dates and SHG types enable the tracking of trends over time, shedding light on the growth patterns and focus areas of SHG initiatives. Membership data, including total numbers, gender distribution, and socio-economic classifications such as Scheduled Caste, Scheduled Tribe, and Other Backward Classes, provides a nuanced understanding of the demographic composition and inclusivity of SHGs. Insights into disability status and economic classifications, such as Above Poverty Line (APL), Below Poverty Line (BPL), and Poorest of the Poor, further reveal the socio-economic challenges faced by SHG members. Overall, this dataset facilitates a comprehensive analysis of SHG dynamics, supporting evidence-based policy-making and strategic planning aimed at enhancing the effectiveness and reach of SHG programs.
Data last updated	2,024
Data retreival date	2024-08-18 00:00:00
Datastore active	True
Frequency	Other
Granularity	SHG
Has views	True
Id	b59ae1ae-eb10-48b8-b14b-b1a182eea56b
Idp ready	True
Methodology	Data collection for Self-Help Groups (SHGs) under the National Rural Employment Guarantee Scheme (NRLM) follows a structured methodology to ensure comprehensive and accurate information. The process begins with collecting basic SHG details, including state, district, block, Gram Panchayat, village, SHG name, formation date, type, promotion entity, and bank account information. Essential data points such as meeting frequency, bank linkage, savings per member, and loan account details are recorded. The methodology also involves assessing the preparedness of SHGs through questions about micro planning, basic training, bookkeeping practices, and the identification of a bookkeeper.To support financial inclusion, the data collection framework includes guidelines and multiple handbooks outlining the roles and responsibilities of mission units at various levels. These handbooks provide standardized procedures and best practices for ensuring effective SHG bank linkages and financial management. The collected data is then used to analyze SHG performance and impact, informing strategic decisions and program enhancements.
No indicators	20
Package id	9933342e-f047-4467-a999-0d5ce84de1c0
Position	2
Size	12.6 MiB
Sku	mord-nrlm_social_category_wise-shg-ot-him
State	active
States uts no	1
Url type	upload
Years covered	nan
Methodology	Data collection for Self-Help Groups (SHGs) under the National Rural Employment Guarantee Scheme (NRLM) follows a structured methodology to ensure comprehensive and accurate information. The process begins with collecting basic SHG details, including state, district, block, Gram Panchayat, village, SHG name, formation date, type, promotion entity, and bank account information. Essential data points such as meeting frequency, bank linkage, savings per member, and loan account details are recorded. The methodology also involves assessing the preparedness of SHGs through questions about micro planning, basic training, bookkeeping practices, and the identification of a bookkeeper.To support financial inclusion, the data collection framework includes guidelines and multiple handbooks outlining the roles and responsibilities of mission units at various levels. These handbooks provide standardized procedures and best practices for ensuring effective SHG bank linkages and financial management. The collected data is then used to analyze SHG performance and impact, informing strategic decisions and program enhancements.
Similar Resources
Granularity Level	SHG
Data Extraction Page	https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise
Data Retreival Date	2024-08-18 00:00:00
Data Last Updated	2024
Sku	mord-nrlm_social_category_wise-shg-ot-him
Dataset Frequency	Other
Years Covered	nan
No of States/UT(s)	1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information	Data for Ladakh not available on source
Number of Indicators	20
Insights from the dataset	The dataset offers a wealth of insights into the operational and demographic characteristics of Self-Help Groups (SHGs). Analyzing the geographic distribution, including state, district, block, Gram Panchayat, and village information, reveals the spatial spread and concentration of SHGs, highlighting regions with varying levels of SHG activity. This can inform targeted support and resource allocation. The formation dates and SHG types enable the tracking of trends over time, shedding light on the growth patterns and focus areas of SHG initiatives. Membership data, including total numbers, gender distribution, and socio-economic classifications such as Scheduled Caste, Scheduled Tribe, and Other Backward Classes, provides a nuanced understanding of the demographic composition and inclusivity of SHGs. Insights into disability status and economic classifications, such as Above Poverty Line (APL), Below Poverty Line (BPL), and Poorest of the Poor, further reveal the socio-economic challenges faced by SHG members. Overall, this dataset facilitates a comprehensive analysis of SHG dynamics, supporting evidence-based policy-making and strategic planning aimed at enhancing the effectiveness and reach of SHG programs.
IDP Ready	Yes

Field

Value

Data last updated

October 23, 2025

Metadata last updated

October 23, 2025

Created

October 23, 2025

Format

CSV

License

Open Data Commons Attribution License

Additional info

Data for Ladakh not available on source

Data extraction page

https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise

Data insights

The dataset offers a wealth of insights into the operational and demographic characteristics of Self-Help Groups (SHGs). Analyzing the geographic distribution, including state, district, block, Gram Panchayat, and village information, reveals the spatial spread and concentration of SHGs, highlighting regions with varying levels of SHG activity. This can inform targeted support and resource allocation. The formation dates and SHG types enable the tracking of trends over time, shedding light on the growth patterns and focus areas of SHG initiatives. Membership data, including total numbers, gender distribution, and socio-economic classifications such as Scheduled Caste, Scheduled Tribe, and Other Backward Classes, provides a nuanced understanding of the demographic composition and inclusivity of SHGs. Insights into disability status and economic classifications, such as Above Poverty Line (APL), Below Poverty Line (BPL), and Poorest of the Poor, further reveal the socio-economic challenges faced by SHG members. Overall, this dataset facilitates a comprehensive analysis of SHG dynamics, supporting evidence-based policy-making and strategic planning aimed at enhancing the effectiveness and reach of SHG programs.

Data last updated

2,024

Data retreival date

2024-08-18 00:00:00

Datastore active

True

Frequency

Other

Granularity

SHG

Has views

True

b59ae1ae-eb10-48b8-b14b-b1a182eea56b

Idp ready

True

Methodology

Data collection for Self-Help Groups (SHGs) under the National Rural Employment Guarantee Scheme (NRLM) follows a structured methodology to ensure comprehensive and accurate information. The process begins with collecting basic SHG details, including state, district, block, Gram Panchayat, village, SHG name, formation date, type, promotion entity, and bank account information. Essential data points such as meeting frequency, bank linkage, savings per member, and loan account details are recorded. The methodology also involves assessing the preparedness of SHGs through questions about micro planning, basic training, bookkeeping practices, and the identification of a bookkeeper.To support financial inclusion, the data collection framework includes guidelines and multiple handbooks outlining the roles and responsibilities of mission units at various levels. These handbooks provide standardized procedures and best practices for ensuring effective SHG bank linkages and financial management. The collected data is then used to analyze SHG performance and impact, informing strategic decisions and program enhancements.

No indicators

Package id

9933342e-f047-4467-a999-0d5ce84de1c0

Position

Size

12.6 MiB

Sku

mord-nrlm_social_category_wise-shg-ot-him

State

active

States uts no

Url type

upload

Years covered

nan

Methodology

Similar Resources

Granularity Level

SHG

Data Extraction Page

https://nrlm.gov.in/shgReport.do?methodName=showMojorityStateWise

Data Retreival Date

2024-08-18 00:00:00

Data Last Updated

2024

Sku

mord-nrlm_social_category_wise-shg-ot-him

Dataset Frequency

Other

Years Covered

nan

No of States/UT(s)

No of Districts

No of Tehsils/blocks

No of Gram Panchayats

Additional Information

Data for Ladakh not available on source

Number of Indicators

Insights from the dataset

IDP Ready

Yes

SHG Financial and Member Profile Details

Embed resource view

Data Dictionary

Additional Information