Introduction: Empowering Villages Through Data

Accurate beneficiary targeting remains a key barrier in India’s rural development. Traditional BPL (Below Poverty Line) lists, often outdated and inaccurate, leave millions underserved.

B2Grow’s Gram Unnyan is a digital governance breakthrough that connects land ownership (KHASRA) data with financial, agricultural, health, and demographic records to enable transparent, real-time, and data-driven welfare distribution.

Project Objective: Data as the New Infrastructure

Gram Unnyan aims to:

Map land ownership using KHASRA numbers
Create a centralized citizen & resource database
Enable data-backed targeting of rural development schemes
Ensure efficient governance and fraud-free subsidy delivery

Real Challenges in Legacy BPL and Welfare Systems

Inaccurate BPL Identification

• Traditional BPL surveys misidentify 30–40% of households
• Hidden income sources skew eligibility
• Outcome: deserving families are excluded; wrong ones benefit

Financial & Agricultural Complexity

• 1 in 4 farmers own land in multiple villages or work as tenants
• Manual income verification leads to misreporting

Administrative Inefficiencies

• Cross-departmental verifications take 3–5 weeks
• 40% of government welfare disbursal delays are due to data duplication and manual processes

B2Grow’s Solution: The Gram Unnyan Platform

KHASRA-Based Digital Mapping

• All village land digitally mapped using KHASRA plot numbers
• Land records linked with owner, tenancy, and crop data

Centralized Rural Data Portal

Combines 6+ domains of rural intelligence into one platform:

Category	Data Captured
Agriculture	Land use, crop cycles, fertilizer usage
Family Info	Size, caste, income sources
Financial	Bank records, credit history, subsidy eligibility
Health & Education	Illnesses, hospital access, school enrolment
Water & Energy	Irrigation, electricity connection, drinking water

Unique Villager ID

• Every villager gets a Unique ID linked to KHASRA land
• One click access for government officers to view:
  Financial status
  Agricultural dependency
  Medical/educational history
  Real-time scheme eligibility

Key Statistical Outcomes

Data Impact Before vs. After Gram Unnyan

Visualization: Impact Metrics

Transformative Impact

Precision Scheme Delivery

• 30–35% rise in timely subsidy disbursal (PM-KISAN, Ujjwala, MGNREGA)
• 25% drop in fertilizer and crop input leakages

Financial Inclusion Boost

• 40% rise in rural credit eligibility
• Verified land linkage improves bank trust in disbursing loans

Smarter Policy Making

• Officials now use real-time dashboards to plan at the block/village level
• Helps in climate resilience, water management, and school infrastructure planning

Note – These statistics are based on initial pilots and comparable e-governance projects.

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