India Is Building More Homes : Who Can Actually Afford to Buy Them?

 

BIZ MASALA | HOUSING & HOUSEHOLD ECONOMICS

               India Is Building More Homes.

Who Can Actually Afford to Buy Them?

Hyderabad’s housing numbers reveal a bigger question about prices, supply and the middle-class home-buying dream

By Murthy ASR

Hero image: AI-generated editorial illustration of a family weighing a home purchase against a growing city skyline; not a photograph of actual buyers or a specific project.

The skyline is not the scorecard

India’s housing story is often told through launches, sales value and new towers. But a growing market does not automatically tell us whether a typical salaried household can afford a home near its workplace, schools and transport. The sharper question is whether the mix of homes being built matches the incomes, savings and location needs of the people who live and work in the city.

Hyderabad offers a revealing starting point. Its housing market has attracted sustained developer interest and a premium-home segment, yet the published data for the first half of 2026 tell different stories depending on which research provider is consulted. That disagreement is not a reason to discard the data; it is a reason to examine definitions and coverage before drawing conclusions.

1. More launches, fewer sales—or a different dataset?

CRE Matrix and CREDAI Hyderabad reported 26,068 homes sold in H1 CY2026, down 13% year-on-year, and 49,656 new launches, up 37%. They reported ₹52,913 crore in sales value and an average ticket size of ₹2.03 crore, up 10%. The report describes a market where transaction value remained high while unit sales fell and the mix shifted towards larger or more expensive homes.

Knight Frank India reported 19,249 Hyderabad home sales, up 1% year-on-year, and 20,466 launches, down 2%, over the same half-year. Its reported average residential price was ₹8,258 per sq. ft., up 7%. These totals differ substantially from CRE Matrix/CREDAI. The providers may track different project universes, boundaries or definitions; the figures must not be added together or treated as directly comparable until their methods are reconciled.

Sources: CRE Matrix/CREDAI Hyderabad H1 2026 report; Knight Frank India H1 2026 figures reported by ETRealty. Values are displayed separately as each provider reported them.

2. What does the average ticket size really tell us?

The CRE Matrix/CREDAI average ticket size of ₹2.03 crore is an aggregate measure, not the price of every flat and not a measure of what the median household can spend. Average ticket size can rise when buyers choose larger homes, when the share of premium transactions increases, or when prices rise. To understand affordability, the story needs prices by ticket-size band and actual registered sale values.

Supporting image: AI-generated illustration of completed and under-construction residential supply; not a verified photograph of a named Hyderabad development.

3. Unsold inventory is not the same as empty homes

CRE Matrix/CREDAI reported unsold inventory of 142,722 units, up 21% year-on-year, with an estimated inventory overhang of about 29 months. The New Indian Express, citing the report, said only around 21% of this stock was ready for possession or due for completion during 2026; a substantial share was scheduled for later years.

That distinction is essential. Inventory can include homes still under construction, so it should not be described as 142,722 completed empty apartments. Inventory overhang is a modelled estimate of how long the tracked stock might take to sell at a defined sales pace; it is not a forecast that every listed home will remain unsold for that period.

Knight Frank reported a much lower tracked unsold inventory of 56,095 units in its H1 2026 dataset. Again, the difference needs to be explained through project coverage and methodology, not presented as proof of error or concealed supply.

4. The household affordability test

A home’s affordability is not just its advertised price per square foot. Buyers need a down payment, registration and stamp-duty costs, loan processing and other charges, plus monthly EMI, maintenance, insurance, commuting and everyday household expenses. A bank approving a loan does not automatically mean the borrower can carry it comfortably through job loss, illness, family costs or interest-rate changes.

Supporting image: AI-generated editorial illustration of prospective buyers reviewing property documents; not a real interview subject.

An illustrative EMI comparison

Home price	Down payment (20%)	Loan (80%)	Monthly EMI approx.
₹50 lakh	₹10 lakh	₹40 lakh	₹34,713
₹80 lakh	₹16 lakh	₹64 lakh	₹55,541
₹100 lakh	₹20 lakh	₹80 lakh	₹69,426
₹150 lakh	₹30 lakh	₹120 lakh	₹104,139
₹200 lakh	₹40 lakh	₹160 lakh	₹138,852

Illustration assumes an 8.5% annual interest rate and 20-year tenure. EMI excludes registration, stamp duty, taxes, brokerage, insurance, maintenance and commuting. Actual lending terms vary.

5. The counterargument: affordability may stabilise for some buyers

CBRE’s India Residential Market Outlook 2026 projected that housing affordability in six major cities could stabilise over 2026–2028 as household incomes grow faster than property prices. Its affordability analysis examines EMI-to-income ratios across three income brackets: ₹40 lakh, ₹75 lakh and ₹1 crore a year. This is an important counterpoint, but those income cohorts do not settle the question for lower-paid households or first-time buyers who lack large savings for a down payment.

The investigation should therefore avoid claiming that housing is becoming unaffordable for everyone. The better question is: for which income groups, in which locations, and for which types of homes is ownership realistic?

6. Comparison: what the indicators mean—and what they do not

Indicator	What it can show	What it cannot prove alone
Launches	Developer supply entering the tracked market	That homes have sold or are affordable
Sales volume	Number of transactions recorded by a provider	Whether buyers are first-time owners or investors
Sales value / ticket size	Value and price mix of transactions	The median household’s budget
Unsold inventory	Tracked units not yet sold under a provider’s definition	Number of completed, empty homes
Inventory overhang / quarters to sell	Estimated absorption pace using a defined method	A guaranteed timeline for all projects
EMI-to-income ratio	Loan burden under specified assumptions	Full cost of ownership or resilience to income shocks

7. What the next layer of evidence must establish

·       Registered sale prices by locality and month, not just asking prices or brochure rates.

·       Supply by ticket-size band, carpet area, RERA registration and completion status.

·       Household affordability examples for clearly defined annual incomes, with down payment and EMI assumptions shown.

·       Rent-versus-buy comparisons that include maintenance, commuting and transaction costs.

·       Written clarification from CRE Matrix/CREDAI and Knight Frank on their differing H1 sales, launch and inventory totals.

·       Responses from developers, lenders, homebuyers and housing researchers, with no invented interviews or fictional characters presented as real.

·       A later comparison with Bengaluru, Pune and Mumbai using consistent sources and periods.

Questions for developers and policymakers

·       What share of new homes is priced below ₹50 lakh, ₹75 lakh, ₹1 crore and ₹1.5 crore?

·       How many completed units are ready for occupation within each price band?

·       How closely do registered sale prices match advertised prices?

·       Can a household earning ₹10 lakh, ₹15 lakh or ₹25 lakh annually buy near major job centres without a financially fragile EMI burden?

·       How much do commute times and transport costs change the real cost of a cheaper home farther from employment?

·       Are supply incentives, infrastructure and approval processes producing homes where demand exists?

Conclusion: the real measure is access, not just construction

The current evidence points to a Hyderabad housing market with a substantial premium segment, significant new supply in one dataset and sharply different totals across research providers. It does not prove that the whole market is unaffordable, nor does it establish an imminent crash. It does justify a more precise question about which households can afford which homes—and whether the supply pipeline is aligned with their needs.

The city’s skyline is a visible measure of construction. It is not, by itself, a measure of housing success. A successful housing market should give people who work in the city a realistic path to safe, well-connected homes without sacrificing too much of their income, savings and financial security.

Sources and editorial notes

·       CRE Matrix and CREDAI Hyderabad, Hyderabad Housing Report H1 2026 (31 Aug 2026). https://www.crematrix.com/research/report-details/305/hyderabad-housing-report-h126

·       CRE Matrix, Hyderabad Housing Market H1 CY26 (3 Sep 2026). https://www.crematrix.com/blog/hyderabad-housing-market-h1cy26/

·       ETRealty, Hyderabad housing sales rise 1% to 19,249 units in H1 2026, citing Knight Frank (13 Jul 2026). https://realty.economictimes.indiatimes.com/amp/news/residential/hyderabad-housing-sales-rise-1-to-19249-units-in-h1-2026-report/132356699

·       The New Indian Express, More homes, fewer buyers in Hyderabad (28 Sep 2026). https://www.newindianexpress.com/cities/hyderabad/2026/Sep/28/more-homes-fewer-buyers-in-hyderabad

·       CBRE India, India Residential Market Outlook 2026. https://www.cbre.com/insights/reports/india-residential-market-outlook-2026

·       CBRE India, housing affordability outlook (26 Mar 2026). https://www.cbre.co.in/press-releases/indian-housing-affordability

·       Telangana Registration and Stamps Department. https://www.telangana.gov.in/departments/revenue-registration-and-stamps/

Editorial note: Figures are attributed to named providers and not combined across datasets. Images are AI-generated editorial illustrations, not photographs of actual projects or interviewees. EMI calculations are illustrative. Registered transaction-level data and stakeholder responses remain the next reporting step; this article should be described as evidence-led analysis, not a completed forensic audit.

 

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