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First-Party Rental Snapshot Rules

How Nivasaa’s website turns current rental listings into a cautious local snapshot.

The purpose is not to invent an “average rent” for a neighbourhood. The snapshot is a transparent summary of matching public listings currently detectable in Nivasaa Propmart’s own website database. Small or uncertain samples are deliberately withheld from visible price statistics.

Method in plain language

Match the locality and intent

The system first identifies a property/listing table and looks for dependable locality fields and a dependable transaction-purpose field. Vikaspuri, Janakpuri or Paschim Vihar must match the locality, and the row must represent Rent / Rental / Lease intent.

Use public rows only

Rows clearly marked draft, private, deleted, inactive, archived or otherwise unpublished are excluded. The public page still asks users to reconfirm availability because database status can lag a real-world transaction.

Do not publish tiny-sample price claims

Visible median/range statistics require at least five usable listed amounts from a reliably mapped dataset. With fewer observations, the page can show that inventory exists but withholds a pseudo-market statistic.

Reduce the effect of unusual listings

For ten or more usable amounts, the visible range uses the central 10th–90th percentile of matched listed amounts. With five to nine values, it uses the observed minimum–maximum and labels the sample context.

Keep editorial freshness separate

Live inventory can refresh without pretending that the written local guide was manually reviewed that day. Editorial review dates come from the actual file modification time; listing freshness comes from listing data.

What these numbers are not

They are not a property valuation, government rate, registered transaction index, guaranteed asking rent, prediction or promise that a listed home is still available. A particular property can differ significantly because of size, floor, furnishing, building condition, parking, exact pocket, possession timing and owner terms.

Evidence threshold: if the site cannot map the database reliably or cannot find at least five usable listed amounts, price statistics should stay unpublished rather than be replaced with an AI-generated or manually guessed number.

Why listed amounts rather than “market value”?

The website has direct access to its own listing records, not every completed rental transaction in the locality. Calling a small website sample “the market rate” would overstate what the data can support. We therefore describe the figures as matched listed amounts and retain a clear limitation note.

Publication and correction rules

No fake precision

Statistics are formatted for readability, but the site should not imply that an observed website sample can determine a property’s exact fair rent.

No “updated today” trick

A page date changes when the editorial file changes. Dynamic inventory has its own separate update signal.

Correct the source

If a listing is wrong, the listing should be corrected or unpublished. Search content should not preserve an incorrect data point merely to keep a page looking fresh.

Methodology review date: October 9, 2026.

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