ZIP code
74105
in Tulsa, OklahomaPopulation 26,951
50.05/ 100
Ranked #16,180 of 32,066 US ZIPs (bottom 50%)
Ranked #64 of 634 Oklahoma ZIPs (top 10.1%)
Ranked #13 of 88 Tulsa, OK ZIPs (top 14.8%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Outer-floodplain exposure
35.9%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Industrial-pollution burden
in the top 3.1% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Dental provider access
1.1 per 1,000 residents
in the top 6.0% nationally
Higher is healthier
ST95thUS94thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Walkability
120 intersections/sq mi
in the top 7.8% nationally
Higher is healthier
ST97thUS92ndDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Grocery access
0.19 per 1,000 residents
in the top 8.2% nationally
Higher is healthier
ST94thUS92ndDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Air-toxics cancer risk
35.6 per million
in the top 8.8% nationally
Lower is healthier
ST98thUS91stDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Dry extreme heat
51.2 days/year
in the top 9.0% nationally
Lower is healthier
ST31stUS91stDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Mental-health provider access
0.11 per 1,000 residents
in the top 9.5% nationally
Higher is healthier
ST89thUS91stDefinition & source ›
The number of mental-health clinics located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Homeownership rate
54.3%
in the bottom 11.6% nationally
Higher is healthier
ST8thUS12thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Fine-particle (PM2.5) exceedance
0.82%
in the top 11.7% nationally
Lower is healthier
ST92ndUS88thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
On balance, and by the composite measure, ZIP 74105, one of several in Tulsa, Oklahoma ranks in the bottom 50% nationally (16,180th) and the top 10.1% of Oklahoma (64th).
Where this area bears down hardest, the measures speak first: outer-floodplain exposure is in the top 1.2% nationally, and modeled industrial-pollution burden stands in the top 3.1% nationally. Modeled air-toxics cancer risk settles in the top 8.8% nationally, and extreme heat lies in the top 9.0% nationally. Homeownership resides in the bottom 11.6% nationally. On the encouraging side, dental providers lands in the top 6.0% nationally, walkability registers in the top 7.8% nationally, and grocery sits in the top 8.2% nationally. Mental-health providers rests in the top 9.5% nationally, and outpatient is in the top 11.1% nationally.
Compared with the ZIPs it borders, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In plainer terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". For a healthier nearby ZIP overall, look to ZIP 74114, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Tulsa, OK metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 62%
16%
Risk Behavior
healthier than 73%
11%
Healthcare Access
healthier than 80%
5%
About typical
Chronic Disease Burden
healthier than 60%
21%
Preventive Care
healthier than 45%
13%
Disability
healthier than 44%
7%
Holding it back
Environmental Hazard
healthier than 12%
14%
Mental Health
healthier than 23%
8%
Climate / Disaster Risk
healthier than 24%
5%
Lifting this score
Chronic Disease Burden
healthier than 86%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 93%
11%
Disability
healthier than 83%
7%
Climate / Disaster Risk
healthier than 79%
5%
Healthcare Access
healthier than 84%
5%
About typical
Mental Health
healthier than 48%
8%
Holding it back
Environmental Hazard
healthier than 8%
14%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 89%
11%
Disability
healthier than 78%
7%
Climate / Disaster Risk
healthier than 71%
5%
Healthcare Access
healthier than 76%
5%
About typical
Mental Health
healthier than 57%
8%
Holding it back
Environmental Hazard
healthier than 24%
14%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 77.0 ± 1.2 years. A median household income of $69,547 predicts 78.6 years — 1.6 years below.
Ranked #2,055 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74107
Oklahomashares a border
Score 33.17
Closest healthier
74114
Oklahomashares a border
Score 57.50
Similar health profile
95252
California93% similar profile
Score 48.75
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 26.4% | 24.3–28.8 |
| High blood pressure among adults | 36.6% | 33.9–39.5 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.8–9.4 |
| Current asthma among adults | 11.4% | 10.2–12.7 |
| Coronary heart disease among adults | 6.9% | 6.3–7.6 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 6.6–8.2 |
| Depression among adults | 27.4% | 24.8–30.4 |
| Diagnosed diabetes among adults | 11.5% | 10.3–13.0 |
| High cholesterol among adults who have ever been screened | 36.4% | 33.7–39.5 |
| Obesity among adults | 34.9% | 31.3–38.9 |
| Stroke among adults | 3.5% | 3.3–3.8 |
| All teeth lost among adults aged >=65 years | 13.0% | 10.9–15.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.5% | 8.3–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.6% | 75.3–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.0% | 75.5–80.6 |
| Cholesterol screening among adults | 86.4% | 84.9–87.9 |
| Colorectal cancer screening among adults aged 45–75 years | 66.0% | 62.1–69.7 |
| Visited dentist or dental clinic in the past year among adults | 61.8% | 59.0–64.7 |
| Mammography use among women aged 50-74 years | 74.0% | 67.8–79.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 11.4–15.3 |
| Current cigarette smoking among adults | 13.6% | 12.1–15.4 |
| No leisure-time physical activity among adults | 28.2% | 25.4–31.4 |
| Short sleep duration among adults | 34.0% | 30.4–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.9% | 17.1–21.1 |
| Frequent mental distress among adults | 17.0% | 15.4–18.8 |
| Frequent physical distress among adults | 13.1% | 11.8–14.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 14.1–17.2 |
| Any disability among adults | 36.4% | 33.5–39.6 |
| Hearing disability among adults | 8.5% | 7.7–9.5 |
| Independent living disability among adults | 8.8% | 8.0–9.8 |
| Mobility disability among adults | 15.6% | 14.0–17.3 |
| Self-care disability among adults | 4.0% | 3.7–4.4 |
| Vision disability among adults | 5.4% | 5.0–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.8% | 20.8–27.1 |
| Food insecurity in the past 12 months among adults | 16.1% | 14.3–18.0 |
| Received food stamps in the past 12 months among adults | 14.1% | 12.5–15.9 |
| Housing insecurity in the past 12 months among adults | 12.8% | 11.2–14.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.8% | 7.8–9.8 |
| Loneliness among adults | 33.3% | 29.4–37.4 |
| Utility services shut-off threat in the past 12 months among adults | 10.0% | 8.8–11.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.2% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 15.7% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 6.4% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 49.3% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 9.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 92.5% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 31.9% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 54.3% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 1.7% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 3.9% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 52.3% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 20.1% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 41.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $69,547 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $337,100 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $992 | $1,021 ($677–$1,912) n=25,670 | $839 ($628–$1,136) n=546 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 77.0 yr ± 0.60 | 78.9 yr (74.7–82.8) n=31,308 | 77.2 yr (73.6–81.3) n=638 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.60 years of 77.0, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured