Credit Approval Scores by Profession — AI Research Report
Data-driven report on average credit score requirements and approval rates across 25+ professions in India. Based on 5 lakh+ loan applications analyzed.
📅 Updated: 2026-06-25✍️ Arera AI Financial Research Team⏱ 3 min read
This report aggregates anonymized credit profile statistics from 5 lakh+ loan applications processed through our underwriting platform. The data reveals significant variation in approval rates and required credit scores across professions.
Key findings:
Software Engineers: 85% average approval rate, median CIBIL at time of application: 748.
Doctors: 88% approval rate — highest of all professions. Banks view medical professionals as low risk.
Government Employees: 82% approval rate with the lowest average interest rate (10.75% median).
Chartered Accountants: 80% approval rate; self-employed CAs have higher documentation requirements.
Gig Workers / Delivery Partners: 45% approval rate — highest rejection rate due to variable income.
Freelancers: 52% approval rate; income consistency is the primary challenge.
Startup Founders: 48% approval rate without profitable ITR; 70% with 2 years of consistent ITR.
What drives the disparity:
Income stability is the primary factor. Salaried professionals with predictable income get approved 78% of the time on average.
Employer tier matters. Employees of Fortune 500 or listed companies get 15–20% higher approval rates than employees of unregistered firms.
Credit history length correlates with profession. Older professions (doctors, government) tend to have longer credit histories.
Profession
Approval Rate
Median CIBIL
Median Rate Offered
Doctor
88%
752
10.75%
Software Engineer
85%
748
10.9%
Government Employee
82%
732
10.75%
Chartered Accountant
80%
741
11.2%
Teacher
75%
718
11.5%
Freelancer
52%
698
14.5%
Gig Worker
45%
681
17.5%
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Which profession has the highest personal loan approval rate in India?
Doctors have the highest approval rate at approximately 88%, followed by government employees (82%) and software engineers (85%). Medical professionals benefit from stable income, high earnings, and a perception of low financial risk.
How is this credit dataset compiled?
This data is compiled using anonymized, aggregated application metrics processed through our underwriting analytics platform across 5 lakh+ applications from 2024–2026.