↓ Data (CSV)
Public data index · US home services · 2026

The Home Improvement Opportunity Gap

In Buffalo there are about 50 pre-1980 owner-occupied homes for every contractor business. In McAllen, Texas there are about 3. Across the 100 largest US metros the gap is 17×, and metro size tells you nothing about which kind of market you are in.

Demand: Census ACS 2024 · Supply: CBP + Nonemployer Statistics 2023 · Published 30 Jul 2026 · v1.0

17×
Spread in pre-1980 owner-occupied homes per contractor establishment: 50.2 (Buffalo) to 2.95 (McAllen TX)
14 vs 89
Median position of Rust Belt / Northeast metros vs Sun Belt boom metros (out of 100, most homes per contractor first)
77%
Share of contractor businesses that are sole proprietors, invisible to rankings built on payroll or wage data

Owners are told to expand where the growth is. But growth attracts contractors faster than it builds old houses, and old houses are where remodeling and repair work lives. This index divides each metro's pre-1980 owner-occupied homes by its contractor establishments (employer firms plus sole proprietors, which most rankings cannot see) to show where the work is concentrated relative to the businesses competing for it.

The extremes: fifty homes per contractor, or three

The least and most crowded of the 100 largest metros

Pre-1980 owner-occupied homes per contractor establishment · whiskers = 90% interval from ACS margins of error

Capitol Data Analytics · US Census ACS 2024 (B25036), CBP 2023 + Nonemployer Statistics 2023 (NAICS 238) · CC BY 4.0

Why we publish tiers, not a 1 to 100 leaderboard. These are survey-based estimates. Buffalo is clearly the highest, and the extremes are unambiguous. But 80 of the 99 adjacent pairs overlap within survey margins, so "your metro is #23 and mine is #24" would be false precision. Each metro below is placed in a quartile tier instead, with its interval shown.

The divide: old-housing metros vs boom metros

The pattern is regional, and it is the opposite of the conventional advice. Northeast and Midwest metros, with decades of housing stock and a trades base that has grown slowly, sit at the top. The booming South sits at the bottom: its contractor base has grown even faster than its housing has aged. A handful of expensive Western metros (San Jose, San Francisco, Honolulu) sit high too: old stock and comparatively thin contractor supply, with very high home values.

Northeast and Midwest metros have several times the homes per contractor of Sun Belt metros

Each dot is one of the 100 largest metros · tick = regional median

Capitol Data Analytics · US Census ACS 2024, CBP + NES 2023 · regions per Census definitions · CC BY 4.0

Does market size predict opportunity? No, and that is the point

Among the 100 largest metros, size has no relationship to homes per contractor

Rank correlation +0.02 across the 100 largest metros · population on a log scale

Capitol Data Analytics · US Census ACS 2024, CBP + NES 2023 · CC BY 4.0

Choosing a market by population, or by growth headlines, is choosing on variables that carry no information about how contested the work is. (Beyond the top 100, the tilt actually runs weakly against size: across all 924 metro and micro areas, smaller markets skew slightly higher on homes per contractor, rank correlation −0.14.)

Two different kinds of high-opportunity metro

The metros at the top of this index are not one story. Two very different profiles land there, and they imply different businesses:

Old stock, low cost: the Rust Belt profile

Buffalo: 76% of owner-occupied homes pre-1980, 152 contractors per 10k homes (the thinnest in the top 100), median home value $226k. Syracuse, Rochester, Pittsburgh, Dayton, Toledo fit the same shape.

Many homes needing work, modest ticket sizes, little competition for each job.

Old stock, high cost: the coastal profile

San Jose: 65% pre-1980, 185 contractors per 10k homes, median value $1.45M. San Francisco (68%, 195/10k, $1.14M) and Honolulu (57%, 182/10k, $898k) fit the same shape.

Fewer, far larger jobs per home. Weighting the index by income moves these metros to the very top.

We report these two profiles as observations from the data. Why coastal contractor supply is thin relative to stock is a question this dataset cannot answer, so we do not speculate.

All 100 metros, by tier

Click a column header to sort. "Homes per contractor" = pre-1980 owner-occupied homes per contractor establishment, ± the 90% interval.

All 100 largest US metros with tier, homes per contractor, contractor density, pre-1980 share, and sole-proprietor share
Metro Tier Homes per contractor Contractors per 10k homes Pre-1980 share Population
Related: what a booked job actually costs by marketing channel Where to compete is half the question; what a customer costs you there is the other half. Our benchmark on what a booked job costs by channel covers that side. →

How we measured this

Population
The 100 largest US metropolitan areas by population, excluding San Juan, Puerto Rico, for which comparable establishment data is not published.
What we count as demand
Owner-occupied homes built before 1980, from the Census Bureau's American Community Survey (2020 to 2024 five year estimates, table B25036). Older homes need more work, and owner-occupied homes are the ones whose owners pay for it. We use pre-1980 rather than "40 years and older" because the survey reports year built in decade buckets and a 40-year cutoff falls inside one of them.
What we count as supply
Contractor establishments in NAICS 238, specialty trade contractors: employer firms from County Business Patterns plus sole proprietors from Nonemployer Statistics, both 2023. Sole proprietors are about three quarters of the field, so any measure that leaves them out describes a different market.
The metric
Pre-1980 owner-occupied homes divided by contractor establishments: how many older homes there are for each business able to work on them. It is an index built from housing stock, not a measure of observed remodeling spending.
Verification
The headline figures were reproduced by two independent computation paths (different demand derivation, different supply aggregation) with zero mismatches across all 100 metros. The implied median age of owner-occupied homes in our data, 42 years, matches the National Association of Home Builders' independently published 2024 figure exactly. Results are stable under alternative age cutoffs (pre-1970, pre-1990), an employment-based capacity measure, the 2022 supply vintage, and an all-housing-units demand base. Buffalo ranks highest and the same Sun Belt metros rank lowest under every variant.
Limits: read before citing

Sources

Changelog

v1.0.1, 4 Aug 2026. Fixed the per chart PNG download, which exported only a cropped corner of each chart; downloads now include the chart title and source line. No numbers changed.
v1.0, 30 Jul 2026. First publication. Numbers that move on refresh will be logged here with a cause.

Reuse & embed

Licensed CC BY 4.0. Cite "Capitol Data Analytics" with a link. Embed:

<iframe src="https://capitoldataanalytics.com/data/home-improvement-demand-gap" width="100%" height="900" style="border:1px solid #ccc;border-radius:12px" title="The Home Improvement Opportunity Gap | Capitol Data Analytics"></iframe>