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Registrar-General of India issues 2027 Census notification

Timeline and Reference Dates

  • Census Year: 2027
  • Reference Date:
    • March 1, 2027: For most parts of India
    • October 1, 2026: For snow-bound and non-synchronous areas of:
      • Ladakh
      • Jammu & Kashmir
      • Himachal Pradesh
      • Uttarakhand

Relevance : GS 2(Governance)

Freezing of Administrative Boundaries

  • With the Gazette notification issued under Section 3 of the Census Act, 1948freezing of administrative boundaries comes into effect.
  • States cannot alter boundaries of districts, tehsils, police stations, etc., until the Census process concludes.
  • This is crucial for maintaining consistency in enumeration blocks.

Digital Census Features

  • The 2027 Census will be digitally driven:
    • Use of mobile applications by enumerators
    • Option for self-enumeration by the public
  • First-time use of end-to-end digital data collection in India’s census history.

Data Security Measures

  • Emphasis on stringent data protection:
    • Secure collection
    • Secure transmission
    • Secure storage
  • Aims to ensure data privacy and public trust.

Manpower & Preparation

  • Deployment of:
    • 34 lakh enumerators and supervisors
    • 1.3 lakh Census functionaries
  • Two-phase Census:
    • House Listing Operations
    • Population Enumeration
  • Pre-test exercises to test:
    • Mobile app effectiveness
    • Enumerator familiarity and process readiness

Administrative Oversight

  • Notification issued by the Registrar-General of India under the Ministry of Home Affairs.
  • Union Home Minister Amit Shah has already reviewed Census preparations.
  • Upcoming notifications will detail:
    • Pre-test schedule
    • First-phase operations

Significance

  • The 2027 Census will be India’s first digital census — a major technological and logistical shift.
  • Comes after repeated delays of the 2021 Census, affected by the pandemic and other factors.
  • Freezing administrative boundaries ensures consistency and comparability in demographic data over time.

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