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Panchayat Advancement Index (PAI): Evidence-Based Decision-Making in Indian Governance

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Context:

Evidence-based policy-making is promoted by the Indian government through policies like the National Data Sharing and Accessibility Policy (NDSAP), 2012.

  • Data.gov.in hosts vast datasets, but usage remains limited due to:
    • Complex formats
    • Poor data visualization tools
    • Overwhelming volume for lay users and local representatives
  • Decision-making still often relies on intuition and experience rather than structured data.

Key Challenges in Grassroots Data Usage

  • Data collected at gram panchayat, block, and district levels primarily serves higher administrative levels.
  • Local officials and elected representatives have limited access to usable insights.
  • Portals are designed for macro analysis, neglecting micro-level decision support.
  • Lack of user-friendly presentation limits community awareness and engagement.

Panchayat Advancement Index (PAI)

  • Released in April 2025 by the Ministry of Panchayati Raj.
  • Covers 2.16 lakh+ gram panchayats, using:
    • 435 local indicators (331 mandatory, 104 optional)
    • 566 data points across 9 LSDG-aligned themes
    • Based on the National Indicator Framework (NIF)
  • Provides GP-level outcome tracking, accessible to even sarpanches and ward members (with some support).
  • About 11,000 GPs were excluded due to validation issues.

State Participation and Data Gaps

  • 25 States/UTs submitted nearly complete validated data.
  • Uttar Pradesh: Only 23,207 out of 57,702 GPs (40%) submitted data—raises concerns about data transparency and development tracking.

Significance and Application of PAI

  • Outcome-focused analysis: e.g., ‘Healthy Panchayat’ scores allow targeted health interventions.
  • Enables alignment of departmental efforts (rural development, education, health) with panchayat planning.
  • Can optimize use of funds from:
    • CSR
    • PM’s Mineral Area Fund (via DMF)
    • MPLADS and MLALAD schemes

The Way Forward

  • Need for trained data analysts at block/district level to generate periodic report cards.
  • Recommend creating a similar Achievement Index for urban local bodies.
  • Emphasize regular updates to the baseline PAI report to track improvement.

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