Get your own numbers — free, no obligation.
Compare Mortgage Rates →Executive Summary
Polk County, Florida — coterminous with the Lakeland–Winter Haven metropolitan statistical area (CBSA 29460) — looks like an affordable housing market and is not one. The county's median home value is $66,200 below the national median, and its price-to-income ratio (4.04x) is marginally better than the national 4.12x. Yet 34.3% of Polk homeowners with a mortgage spend 30% or more of household income on housing, against 28.0% nationally — a gap of 6.3 percentage points.
The explanation is on the income side, not the price side. Polk's median household income is 18.3% below the national median. Cheaper houses bought on materially lower incomes produce more strain, not less.
Key Findings
- 39,057 of 113,908 Polk households with a mortgage are cost-burdened — 34.3%, against 28.0% nationally.
- Polk's median home value is $266,500, $66,200 under the U.S. median and $92,500 under Florida's.
- Median household income is $65,978 — 18.3% below the national $80,734.
- Renter cost burden is 49.8% (42,611 of 85,480 households). That is high — but only 2.2pp above the national rate, so it is not what makes Polk unusual.
- Homeownership is 70.5%, above both the state and national rates — more of Polk's housing stress sits with owners than the national pattern would predict.
The headline: cheaper homes, more strain
These two charts are the finding. Polk buys in below the national median on price and still carries a materially higher share of cost-burdened owners. Any story that treats a low median home value as evidence of affordability will get Polk wrong.
Why: the income line
A household earning 18.3% less than the national median, buying a home only 19.9% below the national median value, ends up committing more of its income to housing. That arithmetic is the whole story.
The number to be careful with
Polk's renter cost burden (49.8%) is the most dramatic-sounding figure in this dataset, and it is real: 42,611 of 85,480 renter households pay 30% or more of income on rent. But the national rate is 47.6%. Polk is roughly 2 points worse, which is a national story with a Polk dateline rather than a Polk story. The owner gap above is the one that actually separates this county.
Full comparison table
| Measure | Polk | FL | U.S. |
|---|---|---|---|
| Median income | $65,978 | $74,568 | $80,734 |
| Median home value | $266,500 | $359,000 | $332,700 |
| Median gross rent | $1,363 | $1,669 | $1,413 |
| Homeownership | 70.5% | 67.6% | 65.2% |
| Owner cost burden | 34.3% | 35.0% | 28.0% |
| Renter cost burden | 49.8% | 56.3% | 47.6% |
| Price-to-income | 4.04x | 4.81x | 4.12x |
Variables, in row order: B19013, B25077, B25064,
B25003, B25091, B25070, and B25077÷B19013.
Source: US Census Bureau, American Community Survey 2024 5-year estimates (api.census.gov). Geography: Polk County, Florida (state FIPS 12, county FIPS 105),
identical to the Lakeland–Winter Haven, FL Metro Area (CBSA 29460). Retrieved 2026-08-30.
Method, and what this page deliberately excludes
Every raw estimate above is a single Census ACS 2024 5-year variable, named in the table so it can be re-pulled independently from api.census.gov. Four figures are derived, and the arithmetic is stated rather than asserted:
- Price-to-income =
B25077_001E÷B19013_001E - Homeownership rate =
B25003_002E÷B25003_001E - Owner cost-burdened = (
B25091_008E+_009E+_010E+_011E) ÷B25091_002E - Renter cost-burdened = (
B25070_007E+_008E+_009E+_010E) ÷B25070_001E
“Cost-burdened” is the standard HUD threshold: housing costs at or above 30% of household income.
This page contains no median home price, no modelled mortgage payment, and no
qualifying-income figure. B25077 is the Census median home value — a survey
estimate of what owners report their homes are worth, not a record of what homes sold for. A median
sale price for this metro would have to come from the National Association of Realtors series, which
is proprietary and which we do not redistribute. The two measures are not interchangeable, and we
would rather publish the one we can source than the one that sounds more precise.
Reuse
The underlying data is U.S. Census Bureau public-domain output. This analysis, the derived
figures and the charts are published under
CC BY 4.0 — use them,
including commercially, with attribution. If you do, a source credit linking to this page is all we ask.
Newsrooms are welcome to request the same cut for any other county; the generator is
scripts/census-county-card.cjs and it takes a state and county FIPS pair.
