How we check our numbers

Sources and data: three kinds of number

Official and published figures — tax rates, RBI rules, court rulings, and figures from named reports or news coverage — carry a link to the source document beside the number and appear again in the Sources list at the end of the article.

Gulmohar Atlas figures are prices and rents we have compiled ourselves from public property listings. They are described below.

Worked examples are labelled “illustration”. They show what happens under stated assumptions — a loan amount, a rate, a rent — and are calculated by a versioned model that is checked against fixed test cases before an article is published. They are not market data.

If we can’t source a number, we don’t publish it. When we find one we published that we can no longer support, we remove it and say so in a correction note on the article.

Asking-price benchmarks

The Gulmohar Atlas

The Gulmohar Atlas is our dataset of residential sale and rental listings from major Indian property portals, collected in October 2026 and grouped by locality and pincode. It currently covers 5 cities and 3,96,036 listings.

What the Atlas figures are, and what they aren’t:

• Asking prices, not sale prices. Listings show what sellers and landlords ask. Registered transaction prices are often lower.
• Area as listed. Portals quote price per square foot on carpet, built-up or super built-up area, depending on the listing. We don’t convert between them, so compare figures with that in mind.
• Medians and percentiles by locality. For each locality we report the middle (median) asking rate and the 25th and 75th percentiles.
• Only where sources agree. We compare the same locality across portals. We quote a locality’s figure only where the portals broadly agree; where they disagree, or only one portal has listings, we don’t publish it.
• Gross rental yield is the median monthly asking rent per sq ft × 12, divided by the median asking sale price per sq ft. It ignores vacancy, maintenance, tax and purchase costs, so the return an owner actually keeps is lower.

How the Journal's figures relate to the price comparison in your report

Journal articles quote the Atlas snapshot described above. The price comparison in a Gulmohar report uses a separate benchmark table of asking prices, prepared by locality or pincode. It has not yet been rebuilt from the Atlas, so a Journal figure for a locality and the benchmark in your report can differ in date, grouping and number of listings. Where a nearby locality stands in for the exact one, the report says so, and where no comparison is available it says that instead of guessing.

Evaluation and scoring

Worked examples and models

Calculations such as loan interest, EMIs and rent-versus-buy comparisons are produced by small versioned models. Each one is run against fixed test cases — for example, that a ₹1 lakh loan at 9% over 20 years gives an EMI of about ₹900 — and must reconcile its totals before an article is published. The model version is named in the article.

What a Gulmohar evaluation does, and doesn’t

A Gulmohar evaluation compares a property’s price with local benchmarks, tests whether the loan fits your income, and runs stress scenarios such as an income drop, a job loss or a rise in interest rates. It does not verify original documents, certify legal title, check court records or give tax advice. For those, use an independent lawyer and tax adviser. The scoring rules and weights are explained on How it works.

Corrections

If you think a figure is wrong, email hello@gulmohar.ai with the article and the figure. If we agree, we correct the article, add a dated correction note explaining what changed, and update the date shown on the article.

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