Oklahoma · 137 census tracts
Tulsa.
This Tulsa housing market report covers about 194,600 homes across 137 census tracts. It gives investors tract-level context on rent growth, home price growth, property tax and insurance cost assumptions, vacancy, and neighborhood variation. PriceDNA location scores range from 58 to 80, with a median of 67.3. Median household income is $58,077.
- Approximate homes
- 194,600 across 137 assigned tracts
- Renter-occupied
- 48% of occupied homes
Location score distribution
How location scores vary across 137 census tracts in Tulsa.
Half of Tulsa's tracts score between 64 and 69. The full range spans 58 to 80, with a median of 67.3.
What the location score shows
PriceDNA Location Score™ is a 0–100 signal designed to summarize local strength and risk context for rental-property analysis. Higher scores generally point to stronger location fundamentals.
The distribution matters because a city is rarely one market. The spread across Tulsa's census tracts shows why investors should look below the city average before deciding where a property fits.
To see the location score for your specific property, analyze a property
Housing composition
Key housing statistics for approximately 194,600 homes in Tulsa, including occupancy, tenure, and structure type.
Of about 194,600 homes, 10.3% are vacant. Among occupied homes, 48% are renter-occupied, providing context on the size of the local rental base.
By structure type, about 65% of Tulsa’s housing units are in single-family structures, 6% in small multifamily buildings (2–4 units), and 27% in larger multifamily buildings (5+ units). Percentages are rounded; small residual structure categories are not shown.
How Tulsa compares
City medians are useful, but investors need context. This table compares Tulsa's local range with Oklahoma and U.S. medians so you can quickly see where the market looks stronger, weaker, or more expensive than broader benchmarks.
| Metric | Tulsa — lower · median · upper Tulsa | Oklahoma OK | United States US |
|---|---|---|---|
|
Census ACS B19013 · 2020–2024
|
$50,696 $58,077 $82,724 | $62,718 | $77,173 |
|
College educated
Census ACS B15003 · 2020–2024
|
23% 41% 55% | 34% | 41% |
|
Renter-age share (21–44)
Census ACS B01001 · 2020–2024
|
31% 34% 37% | 32% | 32% |
|
FHFA HPI · 2025
|
5.5% 5.5% 5.5% | 4.7% | 5.2% |
|
Census ACS B25064 · 2020–2024
|
3.8% 4.2% 4.5% | 3.7% | 4.4% |
|
Property tax rate
Census ACS B25103 · 2020–2024
|
1.38% 1.38% 1.38% | 1.38% | 1.52% |
|
Property insurance rate
Census ACS B25141 · 2020–2024
|
0.94% 1.06% 1.47% | 1.42% | 0.56% |
|
Census ACS B25064 + B19013 · 2020–2024
|
27.7% 29.4% 31.2% | 28.2% | 30.8% |
About this data
PriceDNA uses the most local reliable data available for each metric. Some signals are available at the census-tract level. Others are published or more reliable at broader geographies such as county, metro, state, or national level.
Housing-unit totals are approximate. PriceDNA sums Census ACS counts for the tracts assigned to the city by centroid, so the market total can differ from a municipal boundary count when a tract crosses the city line.
The property-tax assumption combines local residential tax data with a state-level apartment benchmark to provide more conservative context for rental-property underwriting. Insurance assumptions use available residential property insurance data and should be verified for the specific property and coverage.
These pages are designed for market screening and investor education. They do not replace property-level underwriting, inspections, appraisals, insurance quotes, lender review, or professional advice.
You've seen the city. Now run a real address.
Market context is useful. The real decision happens at the property level.