Challenges Facing the Informal Sector: Key Issues and Solutions

India’s economy runs on a workforce that mostly operates outside the formal system. By most estimates, close to 90% of India’s workforce is informal, spanning street vendors, construction labourers, domestic workers, small artisans, daily-wage earners, and the fast-growing pool of gig workers. This sector generates roughly half of national output, yet the people who power it face a stack of problems that keep them trapped in low income and high insecurity. Three challenges stand out: poor access to affordable credit, persistent gaps in skills and infrastructure, and the near-total absence of social protection. Understanding these problems, and the policy responses to them, explains why informalisation is one of the toughest structural issues in development today.

The credit problem: starved of affordable finance
Why formal lending falls short
The high cost of informal loans
Policy responses to the credit gap
Skill gaps, infrastructure, and outdated technology
The scale of the productivity gap
Skills without certification
Poor infrastructure and old technology
Social protection gaps: working without a safety net
What informal workers are missing
Gig workers and a changing workforce
Steps toward a safety net
How the three problems connect

The credit problem: starved of affordable finance

Money is the first wall informal workers and micro-entrepreneurs hit. Most formal banks are reluctant to lend to them. They lack collateral, keep no formal accounts, and have unpredictable cash flows, which makes them look risky to lenders. The result is that institutional finance largely passes them by. Studies of informal enterprises consistently find that this segment remains starved of institutional finance and is forced to fall back on the unorganised credit market.

Why formal lending falls short

The gap is not only about being refused a loan. Even when formal credit exists, it often does not match what a small business actually needs. A study of informal-sector lending found that formal institutions frequently fall short of capital requirements or are not available at the right moment. A street vendor who needs ₹2,000 today to buy stock cannot wait three weeks for paperwork to clear. The complexity of the lending process itself becomes a barrier. Research on house-based industries shows that the procedural burden can make formal credit effectively costlier than alternative sources once time and effort are counted.

On the lender’s side, the obstacles are structural. Banks face information asymmetry: they cannot easily verify the income or repayment ability of an unregistered borrower. This leads to what economists call quantity rationing, where lenders simply limit how much credit flows to this group regardless of demand. The numbers reflect this. Survey data has shown that only about 21% of rural borrower households are indebted to formal financial institutions, leaving the majority dependent on other channels.

The high cost of informal loans

When formal doors stay shut, workers turn to moneylenders. These informal lenders charge punishing rates of interest, and the consequences are severe. Borrowers often end up paying back far more than the amount they originally borrowed, trapping them in a cycle of debt that prevents saving or expansion. A family that borrows for a medical emergency or to restock a shop can spend years servicing that debt. This is the core mechanism by which lack of credit access converts into long-term poverty: high-cost debt drains the very surplus that could have lifted a household out of vulnerability.

Policy responses to the credit gap

The government has built several schemes to widen institutional credit for this sector. The MUDRA scheme, launched in 2015, offers collateral-free microloans through banks and microfinance institutions in three categories, Shishu, Kishor, and Tarun, scaling from small amounts up to ₹10 lakh, aimed squarely at micro and small enterprises in manufacturing, trade, and services. For street vendors specifically, the PM SVANidhi scheme provides working-capital loans starting at ₹10,000, with the credit limit rising to ₹20,000 and ₹50,000 on timely repayment, plus a 7% interest subsidy. The scheme has since been extended to March 2030 and aims to reach over a crore beneficiaries.

These schemes have made a real dent. Research using national survey data found that government action to expand finance in under-banked districts contributed to the growth of entrepreneurship in the informal sector, helping some self-employed people become employers. But coverage is uneven. Awareness remains a weak link: in one tier-three city study, vendors had no awareness of microfinance opportunities at all. Even where schemes exist, take-up depends on local administration, and some states lag well behind others in sanctioning loans.

Skill gaps, infrastructure, and outdated technology

The second challenge is productivity. Informal workers earn little partly because they produce little per hour worked, and that low productivity is rooted in weak skills, poor infrastructure, and old technology.

The scale of the productivity gap

The output gap between formal and informal work is stark. One analysis estimated that formal industrial workers generate gross value added of around ₹12 lakh per worker annually, while informal-sector workers produce closer to ₹1.5 lakh, an eightfold difference. With around 91% of the workforce in informal arrangements, this drags down average wages across the economy. Low productivity is not a matter of effort; it reflects the conditions these workers operate under.

Skills without certification

A large share of informal workers are skilled, but informally. They learned on the job and have no recognised certificate to prove it. In construction, for example, the majority of workers are skilled informally but lack certification, which reduces their wages and job security. Without a credential, a worker cannot command a higher rate or move into a better-paid role, even when competent. Meanwhile, most young people entering the labour market do so without adequate vocational skills, pushing them into unstable, low-wage work. The skilling system itself is largely urban-centric, leaving rural and informal workers underserved, and the heterogeneous nature of informal work makes standardised training hard to design.

The gap is widening rather than closing, because industry needs keep shifting. As digital tools, automation, and data-driven processes spread, workers without those skills fall further behind. The rapid pace of digital transformation widens the skill gap, since many workers cannot adapt to evolving job roles.

Poor infrastructure and old technology

Skills are only part of the story. Even a skilled worker is limited by the tools and surroundings available. The absence of quality infrastructure such as good roads and uninterrupted power supply directly hinders small manufacturing units, which depend on reliable electricity and transport to function. Many micro-enterprises also run on outdated machinery and methods because they cannot afford to upgrade, which keeps their output low and quality inconsistent. There is a self-reinforcing trap here: a 2026 analysis noted that uneven skills, patchy technology adoption, and weak access to finance keep firms small and stuck in low-productivity activity. Each weakness feeds the others.

Government skilling programmes try to address this side of the problem. The Skill India Mission and the Pradhan Mantri Kaushal Vikas Yojana offer vocational training to improve employability, while the Skill India Digital Hub provides an online skilling platform. PM SVANidhi also bundles in capacity-building, with a focus on entrepreneurship, financial literacy, digital skills, and food-safety training for street food vendors. The persistent weakness is participation and reach: private-sector involvement in skilling stays low, and rural workers struggle to access training centres, which limits how far these programmes can scale.

The third challenge is the most human one. Informal workers carry the full weight of life’s risks alone, because the social security system was built around formal employment.

What informal workers are missing

India’s main social security institutions, the Employees’ State Insurance Corporation and the Employees’ Provident Fund Organisation, cover workers at sizeable formal establishments, offering health protection, sickness benefits, provident funds, and pensions. Informal workers fall outside this structure. They have no employer contributing to a pension, no automatic health cover, and no paid sick leave. When illness, injury, old age, or an economic shock arrives, there is no institutional cushion.

The data shows how exposed this leaves people. Less than half of informal-sector workers have access to any form of risk protection such as life insurance, health insurance, or pensions. The same data reveals how poor the underlying incomes are: over 94% of the workers registered on the e-Shram portal report a monthly income of ₹10,000 or below. At those income levels, setting aside savings for retirement or insurance is almost impossible without external support.

Gig workers and a changing workforce

The social protection gap is not shrinking on its own; new forms of work are expanding it. Delivery riders, cab drivers, and other platform workers occupy a grey zone, often classified as independent contractors rather than employees, which leaves gig and contractual workers particularly vulnerable to financial and health crises. As more of the economy moves onto digital platforms, the share of workers without standard employment protections grows.

Steps toward a safety net

The policy direction here is to build portable, contributory protection that does not depend on a formal employer. The Social Security Code 2020 commits to progressive universalisation of social security coverage. The flagship tool is the e-Shram portal, launched in 2021, which gives each registered worker a 12-digit Universal Account Number linked to Aadhaar and captures their skillset, creating a national database meant to channel welfare schemes to unorganised workers. For old-age income, contributory schemes such as the Pradhan Mantri Shram Yogi Maandhan can provide a monthly pension of up to ₹3,000 after the age of 60 for workers who pay in small amounts during their working years.

The challenges that remain are practical. Registration depends on digital literacy and internet access, which are limited in rural areas, so Common Service Centres are used to help workers enrol. There is also a gap between registering a worker and actually delivering a benefit; a database is only useful if schemes reach the people listed in it. Crucially, many of the headline pension figures are contributory, meaning workers must set aside money from already tiny incomes, which circles back to the income and credit problems described earlier.

How the three problems connect

These challenges are not separate boxes; they reinforce one another. No credit means no money to buy better tools or get certified, which keeps productivity and income low. Low income means no spare cash to contribute toward a pension or insurance, leaving workers exposed. Exposure to shocks, an illness, a bad month, then forces high-cost informal borrowing, deepening the debt trap. Breaking the cycle at any one point helps, but lasting improvement needs all three addressed together: affordable institutional credit, accessible skilling tied to real infrastructure, and a portable safety net that does not assume a formal employer. The broader goal running through current policy is gradual formalisation, bringing more workers into systems where credit, skills, and protection become accessible by default rather than by exception.

What do you think? If you were designing one intervention to break the cycle of low credit, low skills, and no safety net, which of the three would you start with and why? And how might a contributory pension scheme realistically work for someone earning ₹10,000 a month or less?

References

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Challenges Facing the Informal Sector: Key Issues and Solutions

Table of Contents

The credit problem: starved of affordable finance 🔗

Why formal lending falls short 🔗

The high cost of informal loans 🔗

Policy responses to the credit gap 🔗

Skill gaps, infrastructure, and outdated technology 🔗

The scale of the productivity gap 🔗

Skills without certification 🔗

Poor infrastructure and old technology 🔗

Social protection gaps: working without a safety net 🔗

What informal workers are missing 🔗

Gig workers and a changing workforce 🔗

Steps toward a safety net 🔗

How the three problems connect 🔗