🚀 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 Traditional BPL (Below Poverty Line) lists, often outdated and inaccurate, leave millions underserved.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
| Benefit Area | Legacy System | Gram Unnyan | Improvement |
|---|---|---|---|
| BPL Identification Accuracy | ~60% | 90% | +30% |
| Scheme Delivery Time | 14 days | 1–2 days | -85% |
| Benefit Leakage Rate | 20–25% | <5% | -80% |
| Inter-Dept Sync Time | 3–5 weeks | <3 days | -90% |
| Manual Verification Effort | High | Minimal | -70% |
| Data Duplication Cases | Frequent | Near Zero | Eliminated |
📊 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.