Getting the ‘Micropicture’ at the Panchayat Level in India

Brief Context

Grassroots governance in India often lacks accessible, detailed data which is difficult for panchayat leaders to assess their own communities effectively.

Source Content

Syllabus: GS2/Governance

Context

• Grassroots governance in India often lacks accessible, detailed data which is difficult for panchayat leaders to assess their own communities effectively.

Need of Micro Data in Local Governance in India

• The Panchayati Raj system and municipal bodies are the first point of contact between citizens and the state.
  • These rely on various datasets to assess needs, allocate resources, and track progress.
• Collecting raw data on households, employment, infrastructure, education, and health are key for:
  • Understanding intra-village inequalities and social hierarchies.
  • Identifying hyperlocal priorities that may be invisible to district or state-level planners.
• Detailed data empower Panchayats for:
  • Make evidence-based decisions.
  • Improve public service delivery (e.g., water access, sanitation, schools).
  • Monitor welfare program effectiveness more efficiently.

Concerns & Challenges 

• Usability of Data: Enormous datasets available through ministry portals and policies like the National Data Sharing and Accessibility Policy (NDSAP), 2012.
  • Despite the open data framework offered through various platforms, data formats remain unfriendly for public or even trained researchers.
• Localised Problems: The ‘top-down’ and macro-level models often failed to capture localised problems like caste-based exclusion, women’s unpaid labour, localized water stress, or migration patterns.
• Disconnected Data at the Grassroots: At the panchayat, block, and district levels, data is generated primarily for consumption at higher levels of governance like secretaries and departmental heads.
  • Limited technical expertise among local representatives to interpret complex datasets.
• Delayed Census: Evidence-based policymaking in India faces significant challenges due to delays in Census operations and the inconsistent availability of time-series data.

Other Challenges Facing Panchayats in India

• Inadequate Financing: Most panchayats rely heavily on funds from higher tiers of government, with limited avenues for generating their own revenue.
  • A study by the Reserve Bank of India (RBI) revealed that in 2022-23, the average revenue per panchayat was ₹21.23 lakh, with only 1.1% coming from local taxes and fees.
• Technological and Digital Literacy Gaps: Limited technological infrastructure and low digital literacy hinder effective monitoring, evaluation, and reporting of progress.
  • Without digital tools, real-time tracking of SDG progress remains a challenge.
• Fragmentation in Rural Governance: Multiple government departments operate in villages without proper coordination, leading to duplication of work and inefficient use of resources.
  • The lack of convergence between different schemes and departments makes holistic development difficult to achieve.

Key Steps By Government

• Panchayat Advancement Index (PAI) Baseline Report 2022-23: It provides a micro-level assessment of panchayats, helping leaders make informed decisions
  • It is aligned with the Localization of Sustainable Development Goals (LSDGs).
  • The PAI can determine whether a Gram Panchayat qualifies as a ‘Healthy Panchayat’, pinpointing specific gaps and enabling swift corrective action.
• National Data and Analytics Platform (NDAP): It facilitates access to government datasets, allowing users to search, merge, visualize, and download data easily.
  • It helps local bodies analyze trends and improve governance.
• Open Government Data (OGD) Platform: It provides public access to datasets from various ministries and departments.
  • It enables data-driven policymaking and transparency in governance.
• Role of Institutions and Civil Society Organisations (CSOs): The government can leverage over 4,000 institutions under the Unnat Bharat Abhiyan to maximize impact.
  • The ‘hand-holding’ model, supplemented by CSOs and institutional expertise, can complement departmental efforts and accelerate SDG attainment.
• Technological Integration:
  • eGramSwaraj: A digital governance initiative available in 22 languages, enabling transparent fund management and real-time monitoring.
  • SVAMITVA Scheme: Drone surveys have been conducted in 3.17 lakh villages, issuing over 2.19 crore property cards to empower rural property owners.
• Micro Matters Initiative: It focuses on data-driven development under India’s G20 presidency, promoting the use of big data analytics, AI, and IoT to improve governance at the grassroots level.

Conclusion

• By integrating data analytics into governance, India can empower its local institutions to create targeted policies, improve service delivery, and enhance accountability—ultimately leading to stronger, more responsive local governance.
• India is investing in digital infrastructure, including optical fiber networks for villages and AI-driven data analytics. These advancements aim to improve service delivery and governance efficiency.

Source: TH