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Market Research

What Size House Sells Fastest? How to Read Your Market Before You Pick a Plan

No size sells fastest everywhere. The five numbers a builder should pull for the lot, where to get them, and how to turn them into a plan brief.

By Sillplate Plan Co.7 min read

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There's no national answer, and anyone who gives you one is selling something. The size that moves fastest is the one that sits in the price band your local buyers can afford, on the lots you have, against the competition that's actually listed. That changes by school district and sometimes by subdivision.

What we can give you is the method. It's five numbers, where to get each one, and how to turn them into a plan brief before you spend money on a plan.

Why "fastest-selling size" is local

  • Price band. Square footage sells as a price. For example (illustrative), a 1,600 sf ranch at $225/sf and a 2,100 sf two-story at $190/sf are close in price but chase different buyers, with different incomes, kids and stairs tolerance.
  • Lot width and grade. A 63-foot-wide ranch doesn't fit a 60-foot lot with side setbacks. A sloped lot can make a walkout basement nearly free square footage.
  • School district and commute. Two lots three miles apart can sit in different districts with different buyer pools.
  • What's already listed. If three builders have 1,800 sf ranches sitting at 90 days, the fourth one won't sell faster just because it's new.

The regional picture is useful as a sanity check, not an answer. The U.S. Census Bureau's Characteristics of New Housing shows what new homes sold in the Midwest looked like in 2025:

FeatureMidwest share of new single-family homes sold, 2025
SizeUnder 1,400 sf: 7%. 1,400–1,799: 24%. 1,800–2,399: 36%. 2,400–2,999: 16%. 3,000+: 16%
Stories1-story 48%, 2-story 50%, 3+ 2%
FoundationFull or partial basement 55%, slab 39%, crawl 6%
Bedrooms2 or fewer 10%, 3 BR 50%, 4+ 40%
Bathrooms2 baths 36%, 2.5 baths 37%, 3+ 24%
Garage2-car 63%, 3+ car 34%

The median Midwest new home sold in 2025 was 2,038 sf, at a median of $155.19 per square foot of floor area, excluding the lot. That's the region. Your market could be well off it in either direction.

The five numbers to pull

1. Sold vs. active, by price band

How many new-construction homes closed in the last 6–12 months in each price band, against how many are listed now. A band with lots of closings and thin inventory is where buyers are waiting. Use bands about 15% wide around your target price.

2. Days on market

Use cumulative days on market (CDOM), which survives a relist, for new construction specifically. Report the median, not the average, and the share of sales that took over 90 days.

3. Price per square foot, by size band

Use above-grade finished square feet so basements don't distort it. Smaller homes carry a higher $/sf, so compare only within about 20% of your target size. Use net price, meaning sold price minus seller concessions.

4. New-construction share of supply

Count the new homes listed in your band, plus the ones permitted but not yet listed, against all listings in the band. Permits are your future competition.

5. Absorption and months of supply

  • Monthly absorption = closings in the last 12 months ÷ 12
  • Months of supply = active listings ÷ monthly absorption

Do it for new construction, not all homes. The all-homes number can look tight while new construction is heavy. Nationally, new-home supply was 8.5 months in August 2026 (Census New Residential Sales). Resale markets in many Midwest counties were far tighter at the same time.

A common rule of thumb: under 4 months leans seller, 4–6 is balanced, over 6 leans buyer. It's a screen, not a law.

Where to get each number

NumberBest sourceHow to get it legally
Closed new-construction sales, price, CDOM, concessionsThe MLSThrough a licensed agent or broker who pulls comps for you. MLS consumer websites (IDX) are licensed for personal, non-commercial use, so don't scrape them.
Active and pending listingsMLS; Realtor.com research files for county and ZIP trendsAgent pull; published research downloads
$/sf by sizeMLSAgent pull
Permits not yet listedYour city's permit log; Census Building Permits Survey for countsAsk the building department; in Missouri, a Sunshine Law request if the log isn't published
County-level trendsCensus, Zillow Research (requires attribution)Published downloads
Buyer incomesCensus American Community Surveydata.census.gov
Builder competitionBuilder websites, model homesVisit as yourself and say who you are. Don't pose as a buyer.

A Missouri-specific problem. Missouri is largely a non-disclosure state: deeds generally don't show the sale price. In practice, closed new-construction prices come from the MLS. If you don't have MLS access, partner with an agent you trust.

Another one: areas that issue no building permits, which includes some unincorporated parts of counties, don't show up in permit data at all. Census permit counts there undercount real construction. Use septic permits, new address assignments and assessor records as proxies.

Turning numbers into a plan brief

The output isn't "build 1,800 sf." It's a short brief:

  1. Size range: the band where new construction closes with the shortest CDOM and the least price-cutting.
  2. Stories: compare ranch and two-story share of sales against share of listings. A ranch costs more per foot to build (more foundation and roof per foot), so compare margin per foot, not price per foot.
  3. Beds and baths: what the closed comps in your band have.
  4. Garage: two-car standard with a priced third bay is common in the Midwest. Check whether your comps show the third bay paying for itself.
  5. Foundation: basement, walkout, crawl or slab, based on what closed comps have and what the lot allows.
  6. Finish level: match or beat the competing spec at the same price. Walk the models.

A simple tool for 2 through 5 is the mix gap index: a feature's share of new-construction sales divided by its share of active new-construction listings. Above about 1.2 suggests the feature is undersupplied, and below about 0.8 suggests it's oversupplied. Those thresholds are screening rules of thumb, not standards.

Worked example (hypothetical numbers)

Every number in this example is made up to show the arithmetic. It isn't data for any real market.

A builder has a 0.3-acre lot inside city limits with a gentle rear slope. The agent pulls 12 months of new-construction closings in the school district.

  • Closings by size: 1,400–1,700 sf ranches: 9 sales, median CDOM 31. 1,800–2,100 sf ranches: 5 sales, median CDOM 58. 2,200+ two-stories: 4 sales, median CDOM 88.
  • Listings now: 1,400–1,700 ranches: 3 active. 1,800–2,100 ranches: 4 active. 2,200+ two-stories: 6 active.
  • Months of supply: small ranches 3 ÷ (9/12) = 4.0. Mid ranches 4 ÷ (5/12) = 9.6. Two-stories 6 ÷ (4/12) = 18.
  • Mix gap for 3BR/2BA ranches: 52% of sales against 38% of listings gives 1.37, so they look undersupplied.
  • Walkouts: 30% of sales against 20% of listings gives 1.50. Favor one if the grade supports it without a retaining wall.

Reading it: the 1,500–1,700 sf ranch with three bedrooms, a two-car garage and a basement (walkout if the grade works) looks like the strongest fit. The two-story band looks oversupplied. That's a recommendation to test with real bids and a pro forma, not a promise that it will sell, or sell fast.

What a research report from us includes

Our spec home research does this work for one lot or one subdivision:

  • Lot Snapshot: 2–3 pages. A market snapshot, a summary of new-construction comps, a recommended size, bed, story, garage and foundation range, a price-band check against buyer affordability, and red flags.
  • Full Feasibility Report: the snapshot plus competing inventory, the mix gap analysis, a builder pro forma with sensitivity, a risk list, and confidence ratings by section.

What it isn't: an appraisal, an opinion of value, or investment advice. It doesn't predict a sale price or a sale date. It organizes market evidence so you can make the decision. Comps come from the MLS through a licensed real estate agent engaged for the report. Public data is cited and dated.

Sources

All accessed October 15, 2026.

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