Phases of Census: India’s Digital Headcount Begins

Paper: GS – I, Subject: Society and Social Justice, Topic: Population and Associated Issues, Issue: Phases of Census.

Context:

India is preparing for the 16th Census, beginning with the House-listing & Housing Census (HLHC) phase, scheduled April–September 2026. This will be followed by the Population Enumeration phase in February 2027.

  • The exercise comes after a six-year delay since Census 2011, largely due to COVID-19 and administrative constraints.

Key Takeaways:

What is the House-listing & Housing Census?

  • Purpose: To create a comprehensive inventory of all buildings, Census houses, and households across India.
  • Focus: Captures information about where and how people live, unlike population enumeration which focuses on individuals.
  • Process: Enumerators visit every structure (residential, commercial, or mixed-use).
  • Outcome: Each household is assigned a unique Census house number and household number, forming the basis for individual enumeration.
  • Additional Benefit: Allows the Registrar General of India (RGI) to assess housing conditions and household assets.

Significance: First nationwide Census exercise since 1931 to include major digital transformation.

Key Changes in Census 2027:

  • Digital-first Enumeration: Enumerators will use mobile applications instead of paper schedules. Self-enumeration option via government portal for the first time.
  • Use of GIS & Geo-tagging: Every Census house will be geo-tagged.
  • Enables precise mapping, faster validation, and reduced duplication.
  • Real-time Monitoring: Dashboards for supervisors under the Census Management & Monitoring System (CMMS). Enhances accountability and data accuracy.
(Phases of Census)
House listing Phase: Data Collection Categories

Why is this Data Important?

  • Policy Targeting: Supports schemes like PM Awas Yojana, Jal Jeevan Mission, Ujjwala, Swachh Bharat Mission, Digital India.
  • Measuring Deprivation: Shift from “basic shelter” to connectivity, clean energy, and mobility.
  • Evidence-based Governance: Enables granular planning at district and ward levels.
  • Digital Divide Mapping: Internet access data helps refine e-governance delivery.
  • Example: Internet access data can guide expansion of telemedicine, online education, and DBT platforms.

Challenges:

  • Digital Literacy Gaps may affect self-enumeration.
  • Data Privacy & Security concerns with large-scale digitisation.
  • Last-mile connectivity issues in remote and tribal regions.
  • Enumerator training and device availability.

Way Forward:

  • Robust data protection protocols aligned with DPDP Act.
  • Assisted self-enumeration for digitally excluded groups.
  • Offline data collection modes with later syncing.
  • Capacity-building of enumerators and local officials.

Source: (The Indian Express)

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