Houseplot Price Index: How We Compile Lahore Property Prices

The Houseplot Price Index shows indicative average asking prices for Lahore societies by size, validated for consistency and always displayed as ±7% ranges with the month of the data, never as exact valuations.

The Houseplot Price Index shows what plots and houses typically ask in each Lahore society, by size, so buyers can judge whether a price is in range before they negotiate. Every figure is a typical asking-price range — from an ordinary plot or house to a corner or prime-block one — with the month the data comes from. It is not a valuation and not a record of completed sales.

This page explains where the numbers come from, how we check them, how they are displayed and what they cannot tell you.

What the index covers

The index covers Lahore housing societies and established areas where we have enough reliable data. For most of them that means three sizes for plots and houses: 5 marla, 10 marla and 1 kanal. Where a society is split into phases or sectors with very different prices, such as DHA Lahore or Bahria Town, we show each phase separately and a range across phases at society level.

Commercial property and flats for sale are not in the index yet, because we do not yet have data we consider reliable enough to publish for them. Indicative monthly rents for houses and flats are shown separately on rent pages, as low–high ranges with their data month, compiled the same way from current public rental listings.

Where the data comes from

The current figures (October 2026) are compiled from live public listings for each society and size: we take the typical lower and upper asking prices, dropping the cheapest and dearest tenth of listings where there are enough to do so, so one-off outliers don't set the range. Where current listings were too few, earlier index averages (June–August 2026) are shown with a narrower ±7% band and their own month. All of this describes the asking market, not what buyers finally paid.

As Houseplot's own marketplace grows, three sources will progressively replace the compiled averages:

1. Verified listings on Houseplot, where the seller's documents and availability have been checked.
2. Agent rate surveys from verified agents who work in each society.
3. Confirmed deals, where both sides confirm the agreed price.

Each table will state which basis it uses. Until then, every figure is labelled as an indicative asking-price average.

How we validate the numbers

Raw averages contain errors: a mislabelled size, a single luxury house dragging the mean up, or a figure that has not been updated in a year. Before any value is shown, it goes through these checks:

When the index launched, 247 data points went through these checks: 225 were published, 3 were held back for recheck because their price per marla did not fit the society's other sizes, and 19 were hidden as stale or doubtful.

Some results look odd but are genuine. In older central areas such as Gulberg, an old house can ask little more than the land under it, because buyers price the plot and plan to rebuild. Those cases are kept when the gap is small.

Why prices are shown as ranges

We never show a single exact figure. The range runs from the typical asking price of an ordinary property to that of a well-placed one, because a society average hides real variation between blocks, corner and park-facing plots, development status and the condition of houses. Showing "2.4 Cr" would suggest a precision the data does not have.

Ranges are rounded sensibly: to the nearest 5 lac below one crore, to 0.1 crore up to 10 crore, and to 0.5 crore above that. Price per marla is rounded to the nearest half lac below 20 lac and to the nearest lac above.

A plot that falls outside the range is not necessarily overpriced or a bargain. Use the range as the starting point for questions: why is this plot above the society average, and is that reason worth paying for?

How rechecks and corrections work

Prices go stale, so the index is rechecked regularly. Our team can run a full recheck at any time; it applies the validation rules above and flags anything that fails. Flagged values stay off the site, showing "Being rechecked", until someone confirms or corrects them.

Visitors can also challenge a figure. Every price table has a "Price looks off? Request a recheck" link. Requests go to our data team as tickets, and we review them against current evidence. Corrected values update every page that uses them at once — society pages, the price index, listing pages and the home page.

How to use the index well

1. Compare price per marla, not total price. It removes the effect of plot size.
2. Check the data month. A figure from three months ago may already have moved.
3. Adjust for the specific property. Corner, park-facing and boulevard plots usually ask more; undeveloped blocks and files usually ask less.
4. Ask for recent deals. A verified agent who works in the block can tell you what recent buyers actually paid.
5. Add the costs of buying. Taxes, stamp duty and transfer fees come on top. Use the property tax calculator and the stamp duty calculator.

What the index cannot tell you

• The price you will pay. Negotiation, timing and the individual property decide that.
• Future prices. The index shows current asking levels, not forecasts.
• Legal status. A society appearing in the index does not mean it is approved. Always check approval on the LDA site and the documents of the specific plot.
• Tax value. Federal taxes use the FBR valuation table and stamp duty uses DC rates, not market averages.

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