Critically analyze the transition to CAPI-based data collection and COICOP classification in India's statistical system. How does it align with international best practices?

The CPI 2024=100 series (NSO, MoSPI), rolled out from January 2026, replaces paper schedules with Computer Assisted Personal Interviewing (CAPI) and adopts the UN's COICOP 2018 classification [1][2]. This marks a decisive shift toward real-time, internationally comparable price statistics — though its gains must be weighed against transition risks.

Merits of the transition

• CAPI enables tablet-based capture with in-built validation and real-time monitoring across 1,407 urban markets and 1,465 villages, cutting transcription errors and lag [3].
• COICOP 2018 restructures the basket into 12 divisions/358 items (up from 299), replacing the old 6-group frame, improving granularity and services coverage [1].
• Weights now rest on HCES 2023-24, capturing post-pandemic, digital-era consumption [1].

Critical concerns

• Re-basing breaks series comparability; splicing old and new indices for long-run trends invites distortion.
• CAPI success hinges on enumerator training and device/connectivity in remote villages — uneven capacity risks data gaps.
• Timely revision itself was overdue: the 2012 base ran over a decade, so the exercise corrects lag rather than pre-empting it.

Alignment with global practice

• COICOP is the UN Statistics Division standard, ensuring cross-country comparability [1].
• CAPI mirrors OECD/Eurostat digital-collection norms, aligning with the coordinated GDP-CPI-IIP base revision [2].

The transition modernizes India's statistical architecture in line with international benchmarks. Sustaining credibility now requires transparent methodology disclosure, enumerator capacity-building, and periodic re-basing — advancing the goal of evidence-based governance anchored in reliable data.