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
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
Capitol Data Analytics · US Census ACS 2024 (B25036), CBP 2023 + Nonemployer Statistics 2023 (NAICS 238) · CC BY 4.0
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
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
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
Old stock, high cost: the coastal profile
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.
| Metro | Tier | Homes per contractor | Contractors per 10k homes | Pre-1980 share | Population |
|---|
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
- This is an index, not measured spending. Housing stock age is a demand proxy. Actual remodeling spending per home varies with income and home value, which is why we also publish income- and value-weighted variants in the CSV.
- Supply counts all specialty trade contractors, including commercial-only firms. Demand counts residential homes only. Metros with a large commercial construction sector will look somewhat more saturated for residential work than they truly are.
- Informal operators are invisible. Nonemployer Statistics requires $1,000+ in reported receipts; cash-only operators who never file are not counted. This overstates opportunity everywhere, likely more where informal economies are larger.
- Vintages differ by one year. Demand is 2024, supply is 2023, the latest published on each side.
- Adjacent positions are not distinguishable. 80 of 99 adjacent pairs overlap within ACS margins of error; that is why results are tiered.
- High contractor density is not a verdict on a market. Dense markets are often healthy, high-spending markets. This measures competitive intensity, not desirability, and it is not advice to enter or avoid any metro.
- Size finding is scoped. "No relationship to size" holds among the 100 largest metros (+0.02); across all 924 metro and micro areas the tilt is weakly negative (−0.14).
Sources
- US Census Bureau: American Community Survey 2020 to 2024 five year (tables B25036, B25077, B19013, B25001, B01003, public domain.
- US Census Bureau: County Business Patterns 2023 (NAICS 238 employer establishments, public domain.
- US Census Bureau: Nonemployer Statistics 2023 (NAICS 238 sole proprietors, public domain.
- External validation: median owner-occupied home age per NAHB (2024); metro remodeling spending context per Harvard Joint Center for Housing Studies (cited in prose; their published metro estimates cover 20 metros).
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.
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