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Maharashtra’s SIR data shows large gaps in some constituencies. The numbers need careful reading

An analysis found higher ‘uncollectable’ rates in many Muslim-heavy seats, but the dataset itself does not identify voters by religion.

Election Commission of India headquarters at Nirvachan Sadan - file photo
LiveLaw - Election Commission of India file photo

An Indian Express analysis of Maharashtra’s draft Special Intensive Revision data found that 29.77% of voters across 38 constituencies with a Muslim population above 20% were marked ‘uncollectable’, compared with 21.14% statewide. The report also noted large variation between constituencies.

The crucial context is that SIR data does not classify individual voters by religion, so constituency-level demographic patterns cannot by themselves establish religion-based exclusion. For UPSC, the story is useful for understanding electoral-roll revision, claims and objections, administrative data and the constitutional importance of accurate voter registration.

CIVIL SERVICES VIEW

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GS-IIElection administration and electoral rollsPrelims: HighMains: High

Why this matters

An analysis found higher ‘uncollectable’ rates in many Muslim-heavy seats, but the dataset itself does not identify voters by religion.

Key facts

  • Draft electoral rolls are followed by a claims-and-objections process before finalisation.

Key terms

  • SIR
  • electoral rolls
  • Election Commission
  • voter registration

Arguments, challenges and policy responses

  • Accuracy, inclusion and trust in electoral-roll revision
  • Use and misuse of aggregate demographic data

India’s context

Electoral-roll quality directly affects access to the franchise and public confidence in elections.

Practice question

What safeguards are necessary to ensure that electoral-roll revision is both accurate and inclusive?

Revision summary

  • Draft electoral rolls are followed by a claims-and-objections process before finalisation.
  • Accuracy, inclusion and trust in electoral-roll revision
  • Use and misuse of aggregate demographic data
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