Women Borrowers and India's Credit Landscape: What the Data Actually Shows
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1. Introduction
For most of the past decade, women borrowers were treated as a segment worth monitoring but not one that demanded strategic attention from mid-market lenders. That framing is increasingly difficult to sustain. CRIF High Mark's March 2026 report, which draws on data across 8.9 crore active women borrowers, shows a cohort that is growing faster than men, performing better on delinquency across most products, and entering the formal credit system in rising numbers through new-to-credit channels.
But the data also contains important qualifications on where the PAR advantage holds and where it doesn't, on what the business credit numbers actually reflect, and on the geographic concentration that shapes where the next growth phase is likely to occur.
This article draws out the findings that matter most for lending institutions and flags where the picture is less straightforward than headline numbers suggest.
2. The Portfolio: Growth and Credit Quality
The headline numbers are unambiguous. As of December 2025:
Women borrowers grew at a 14.2% CAGR between December 2020 and December 2025, reaching 8.9 crore versus 8.2% CAGR for men.
Portfolio outstanding for women stood at Rs. 44.9 lakh crore, up 23.4% YoY versus 16.7% for men.
Active loans reached 1,746 lakh, up 14.8% YoY, more than double the growth rate for men.
Overall PAR 31-180 for women was 2.8% against 3.3% for men, with women holding a delinquency advantage across most product categories.
The PAR comparison is frequently cited as evidence of women's credit discipline. The advantage is real, but it requires careful interpretation: Section 4 addresses this. The headline portfolio numbers establish women as a material, fast-growing, and relatively lower-risk segment. What varies considerably is the nature of that participation across products.
3. Product Mix: Where Women Borrow and Where They Don't
Women's participation is not uniform across the credit landscape. Their strongest presence is in secured and purpose-linked products; business credit shows the most nuanced dynamics.
3.1 Retail and Secured Lending
Women's share is highest in gold loans (43.5%), education loans (36.7%), and housing loans (32.2%) as of December 2025. LAP shows a 30.2% share. Women are increasingly opting for larger ticket sizes in that product. This is worth noting: LAP is frequently used for enterprise purposes, even if classified separately from business loans. In personal loans, women's value share is 17.4% and their average ticket size is Rs. 71.7K, higher than men's Rs. 64.2K.
The pattern holds across retail products more broadly: home loans (Rs. 33.9L vs Rs. 30.7L for men) and auto loans (Rs. 9.4L vs Rs. 8.5L for men) show the same direction.
Table 1 summarizes product mix and growth for the key categories.

Source: CRIF High Mark Women's Day Report 2026.
Growth rate comparisons should be read with the base effect in mind: women's portfolio in SBL and UBL is significantly smaller than men's, which mechanically amplifies percentage growth figures.
3.2 Business Credit: The Volume-Value Split
Business credit is where the data becomes most interesting. Women account for 50.4% of business loan originations by volume but only 28% by value. The average business loan ticket size for women is Rs. 5.3 lakh, against Rs. 11.6 lakh for men.
This gap is largely explained by the profile of women-led enterprises. Most are micro and small businesses: salons, tailoring units, small traders, home-based services, that need working capital in the Rs. 1-10 lakh range, not enterprise-scale term credit. Government schemes like Mudra, which caps at Rs. 10 lakh, are a primary credit channel for this cohort. The ticket size gap is therefore less a lender supply problem than a reflection of where most women-led enterprises currently operate. That said, as more women-owned MSMEs scale into the small and medium segments, their credit appetite is likely to grow. The UBL growth rate of 28% YoY versus 10.5% for men points in that direction.
4. Portfolio Quality: Real, But Not Unconditional
The PAR advantage women hold is genuine across most product categories. But 2 exceptions and a structural caveat complicate the aggregate picture.

Source: CRIF High Mark Women's Day Report 2026.
In commercial vehicle loans (CVL), women's PAR is 6.9% against 6.3% for men. In unsecured business loans (UBL), women post 3.6% against men's 3.3%. Both are segments where women's participation is newer and the borrower pool is less seasoned.
The structural caveat is equally important. Women are heavily concentrated in gold loans and housing loans, products that carry lower delinquency rates for all borrowers. A meaningful part of the aggregate PAR gap reflects product mix rather than borrower-level credit discipline. As women's participation broadens into CVL, UBL, and higher-risk categories, lenders should not assume the aggregate PAR profile holds.
EWS scores from active lending portfolios on OneFin's platform also show a consistent pattern of women borrowers scoring better on early warning metrics. Though, here as well, product concentration effects make direct gender comparisons difficult to isolate.
5. Geography and New-to-Credit
Women's credit participation is geographically uneven. The top 10 states account for 78.2% of women's portfolio outstanding. Southern states show a disproportionately strong presence:
Tamil Nadu, Andhra Pradesh, and Kerala have higher women portfolio shares relative to their overall lending volumes than most northern and western peers.
Tamil Nadu recorded approximately 28% YoY growth in women's portfolio outstanding in December 2025. Telangana and Andhra Pradesh also posted above-average growth, at 24.5% and 25.3% respectively.
The new-to-credit (NTC) data signals where future growth is forming. Women's share of NTC originations rose from 33% in December 2023 to 41% in December 2025. Gold loans and housing loans are the primary entry products by value. Unsecured business loans and LAP follow.
The NTC trajectory matters because first-loan products shape subsequent credit relationships. Lenders that capture NTC women borrowers in gold or home loans are positioned to extend those relationships over time. That extension requires systems that track borrower journeys across products, not just single-loan performance.
Taken together, the geographic and NTC patterns point to the same conclusion: the women borrower story is still in early chapters in large parts of the country.
6. Conclusion
The CRIF High Mark report establishes women borrowers as a fast-growing, broadly distributed, and relatively lower-risk part of India's formal credit portfolio. The geographic concentration in southern states and the NTC trajectory point to where the next expansion phase is most likely to occur. The PAR data signals where assumptions should be tested rather than extended.
For lending institutions, the strategic question is not whether to prioritize women borrowers. The question is whether their origination infrastructure, underwriting frameworks, and portfolio monitoring systems are built for the segment's specific characteristics, not just its headline numbers.
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