Data Methodology

How we calculate our salary data

At JobYaar, accuracy is our priority. We want you to negotiate your next offer with confidence. This page outlines how we source, verify, and calculate our salary data.

1. Data Sources

Our salary data is aggregated from multiple credible sources, including:

• Verified anonymous salary submissions from professionals working in top tech, marketing, and finance roles across India.
• Publicly available data points from job listings, government reports, and open industry surveys.
• Insights from HR professionals and recruiters specialized in the Indian job market.

2. Tax and In-Hand Calculations

When calculating "in-hand" (take-home) salaries from CTC, our algorithms apply the latest Indian income tax slabs (currently FY 2026-27). This includes standard deductions, EPF contributions, professional tax (depending on the state/city), and surcharge rules.

By default, our calculators assume the New Tax Regime, as it is now the default for Indian taxpayers, though we provide options to customize deductions where applicable.

Frequently Asked Questions

How often is the salary data updated?

We refresh our data sources quarterly to reflect market changes and new tax regulations.

Can I submit my own salary data?

Yes, you can use the "Submit Salary" feature (coming soon) to contribute anonymized data.

Do you account for regional tax differences?

Our calculators automatically adjust for state‑specific professional tax and surcharges where applicable.

Is the data reliable for negotiation?

We aggregate multiple credible sources and apply statistical smoothing to provide a robust baseline for negotiations.

3. Data Validation Workflow

Our data validation process ensures that the salary figures we provide are as accurate as possible. We employ a multi-step workflow:

• Collection: We gather data points from trusted partners and user submissions.
• Sanitization: We filter out extreme outliers that do not align with current market trends.
• Cross-Verification: Data points are cross-referenced with recent job postings and HR reports.

4. Statistical Smoothing

To provide a robust baseline for negotiations, we apply statistical smoothing techniques. This helps mitigate the impact of temporary market fluctuations and presents a clearer, long-term trend in compensation across different roles and regions.

5. Continuous Updates

Market rates and tax laws evolve. We update our background data models at least quarterly to reflect shifting trends in compensation across major hubs like Bangalore, Hyderabad, Pune, Gurgaon, and Mumbai.