·The Hindu·15 marks·250–350 wordsEconomy

Evaluate the significance of improved measurement of the unincorporated sector in India's national accounts. What data challenges persist in capturing the informal economy?

In this answer
  1. Significance of improved measurement
  2. Persisting data challenges

The unincorporated sector — non-agricultural enterprises outside the corporate fold — contributes significantly to India's GDP and acts as a backbone for the incorporated sector by supplying goods and services [4]. Its improved capture in the new GDP series with base year 2022-23, released by MoSPI on 27 February 2026 [1], is a genuine but partial statistical advance.

Significance of improved measurement

  • Accuracy of the level and composition of GDP: the new series draws on fresh enterprise data, notably ASUSE, alongside PLFS, while refining estimation for the tertiary and secondary sectors [3]. This replaces older indicator-based extrapolation with directly surveyed activity.
  • Scale of the evidence base: ASUSE is India's largest annual enterprise survey, covering manufacturing, trade and other services across rural and urban India, with close to five lakh establishments surveyed in 2023-24 [4] — a frame wide enough to anchor national accounts.
  • Policy relevance: since nominal GDP is the denominator for fiscal deficit, debt and tax-to-GDP ratios, a more accurate level improves the credibility of fiscal targeting [2].
  • Institutional discipline: rebasing on a post-COVID "normal" year with robust cross-sectoral data [1], rather than on an ad hoc trigger, strengthens MoSPI's methodological transparency, reinforced by a published FAQ set [3].

Persisting data challenges

  • Coverage gaps: ASUSE is confined to the non-agricultural unincorporated sector [4], leaving informal agricultural and allied activity outside its frame.
  • Frame obsolescence: informal units are born, migrate and shut down rapidly, so sampling frames age faster than survey cycles.
  • Comparability breaks: PLFS itself was revamped in 2025 — a new sampling design and a shift from a July-June to January-December cycle [5] — complicating consistent time-series inputs.
  • Transition friction: back-series data under the new base is expected only by December 2026 [3], limiting analysts' ability to compare across series meanwhile.

Overall, the reform substantially improves measurement of the visible informal economy while leaving its statistical frontier — agriculture-linked and micro-scale activity — inadequately mapped. Sustained investment in frame updation, synchronised survey cycles and early release of a reconciled back series would convert a better base year into genuinely better national accounts.

Sources

  1. 1New Series of Gross Domestic Product (GDP) Estimates with Base Year 2022-23, PIB (27 Feb 2026)base-year shift to 2022-23; selection of a post-COVID "normal" year with robust data
  2. 2Press Note on New Series of GDP Estimates with Base Year 2022-23, MoSPIrevised nominal and real GDP estimates underlying fiscal ratios
  3. 3Understanding the New Series of GDP — FAQs, PIB/MoSPIuse of ASUSE and PLFS as new inputs; improved tertiary/secondary estimation; back series expected by December 2026
  4. 4Annual Survey of Unincorporated Sector Enterprises (ASUSE) Results for 2023-24, PIBrole of the unincorporated sector in GDP and employment; survey scope, non-agricultural coverage and sample size
  5. 5Changes in Periodic Labour Force Survey (PLFS) from 2025, PIBrevamped sampling design and shift from July-June to January-December cycle
Practice
10 questions on this article
Check the answer for each question, or reveal all at once.
Practice MCQs →

More from this note

More on Economy