First District-Level ASUSE Estimates Show Informal Enterprises Clustered With Wide Productivity Gaps
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The news
New Delhi. Two MoSPI officials of the Enterprise Survey Division, Soumya Chakraborty and Sonakhya Samaddar, write in The Economic Times on October 3 that the Annual Survey of Unincorporated Sector Enterprises (ASUSE) 2025 has produced India’s first district-level estimates of informal businesses — firms not registered as companies, mostly small shops and workshops. The top 10 districts hold nearly 10% of establishments, six of them in West Bengal. Just 10 of over 950 activities account for 39% of units but only 21% of gross value added (GVA). Gross value added per worker is ₹1,00,443 in Murshidabad, where three activities employ nearly half the workforce, and ₹2,72,216 in Rangareddy, against a national ₹1.56 lakh. A location quotient, an activity’s local share of jobs divided by its national share, picks out clusters such as beedi in Murshidabad and zari in Howrah. The authors urge district-specific policy over uniform schemes.
The chain in one line: Informal sector measured only at national and State level → policy relies on uniform credit schemes → ASUSE 2025 gives district estimates → clusters and nearly threefold productivity gaps appear → case for district-tailored support
Static syllabus linkage
- ASUSE is the National Statistics Office’s survey of the unincorporated economy. It is conducted by the National Statistics Office under the Ministry of Statistics and Programme Implementation and covers non-farm enterprises not incorporated as companies, classified by the National Industrial Classification (NIC) 2008. The Periodic Labour Force Survey counts workers; ASUSE counts enterprises.
- MSMEs are defined by investment and turnover. The MSMED Act, 2006, used investment alone; a 2020 notification added turnover and merged manufacturing and services. Limits were raised from April 2025, so a micro enterprise may now invest up to ₹2.5 crore with turnover up to ₹10 crore. Udyam registration brings an informal unit into the MSME net.
Why UPSC loves this
- Informality is a recurring GS3 question. It falls under “inclusive growth and issues arising from it”. District data let an answer on formalisation move from slogans to evidence.
Prelims nuggets
- ASUSE is conducted by the National Statistics Office under the Ministry of Statistics and Programme Implementation.
- A location quotient above one shows that a region is relatively specialised in an activity.
- PMEGP is a credit-linked margin money subsidy scheme of the MSME Ministry, with the Khadi and Village Industries Commission as the national nodal agency.
Analysis
- Lens — Growth and equity: concentration helps only if the cluster climbs the value chain. Where one craft dominates, as beedi does in Murshidabad, workers have few alternatives and earnings stay low. Rangareddy shows that concentration tied to markets can mean high value. The equity task is to lift low-value clusters through skills and market links, not to spread credit thinly.
- Uniform schemes miss the variance the data reveal. The ET reports the government is examining an extension of PMEGP to 2030-31 with about ₹15,000 crore and collateral-free loans; jobs it generated fell from 9.29 lakh in FY22 to 5.98 lakh in FY26. Targeting the extension with ASUSE district data would make it a test of the new statistics rather than a repeat of the old design.
- District numbers give district planning something to plan with. Article 243ZD provides for a District Planning Committee, but such committees have had little enterprise data. The caution is that sample-based district estimates carry wider error margins, so they should set priorities, not rank districts precisely.
Possible Mains question
How can district-level data on unincorporated enterprises improve policies to raise productivity in India’s informal sector? Explain. (10 marks, 150 words)
Model approach
- Directive — Explain. Show how the data change policy design, with examples.
- Introduction — the first district map of informal enterprises. ASUSE 2025 gives district estimates for the first time.
- Specialised clusters need sector-specific support. Value addition: GVA per worker of ₹1,00,443 in Murshidabad against ₹2,72,216 in Rangareddy.
- Diversified districts need flexible finance. Draw a two-column chart: specialised versus diversified district, with matching interventions.
- Conclusion — let scheme money follow measured gaps. Link PMEGP-type schemes to district plans.
Administrator's brainstorm
As DM of a district dominated by one low-wage craft, how would you use the ASUSE data?
I would map the craft’s value chain to find where margins leak to middlemen. I would steer PMEGP and bank credit to units that move up the chain, such as finishing and direct selling, and link artisans to buyers. Success means GVA per worker rising, not more loans sanctioned.