ZIP code
74135
in Tulsa, OklahomaPopulation 20,138
53.49/ 100
Ranked #11,370 of 32,066 US ZIPs (top 35%)
Ranked #37 of 634 Oklahoma ZIPs (top 5.9%)
Ranked #7 of 88 Tulsa, OK ZIPs (top 8.0%)
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.
Dental provider access
2.2 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Outpatient-care access
1.2 per 1,000 residents
in the top 1.3% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of outpatient 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 ›Physician access
3.9 per 1,000 residents
in the top 2.2% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of physicians’ 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 ›Mental-health provider access
0.2 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST95thUS96thDefinition & 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 ›Industrial-pollution burden
in the top 4.4% nationally
Lower is healthier
ST96thUS96thDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Pharmacy access
0.5 per 1,000 residents
in the top 5.3% nationally
Higher is healthier
ST89thUS95thDefinition & source ›
The number of pharmacies 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 ›Recreation access
1.2 per 1,000 residents
in the top 6.1% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Civic-institution access
0.69 per 1,000 residents
in the top 7.7% nationally
Higher is healthier
ST96thUS92ndDefinition & source ›
The number of civic and social organizations 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 ›Transit access
3.7 per 1,000 residents
in the top 8.2% nationally
Higher is healthier
ST95thUS92ndDefinition & source ›
The number of public-transit stops 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 ›The read
In its overall standing, ZIP 74135, one of several in Tulsa, Oklahoma lands in the top 35% healthiest ZIPs nationally (11,370th) and the top 5.9% of Oklahoma (37th).
Reading the numbers as a whole, the picture lands somewhere in between: dental providers is in the top 1.0% nationally, outpatient sits in the top 1.3% nationally, and physicians lands in the top 2.2% nationally. Mental-health providers lies in the top 4.3% nationally, pharmacy stands in the top 5.3% nationally, and recreation rests in the top 6.1% nationally. Civic registers in the top 7.7% nationally, and transit resides in the top 8.2% nationally. On the other side, modeled industrial-pollution burden settles in the top 4.4% nationally, and tree cover is at the national minimum.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. On the overall standing, ZIP 74114, just across the boundary, ranks healthier.
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
Chronic Disease Burden
healthier than 66%
21%
Social Need / SDOH
healthier than 81%
16%
Risk Behavior
healthier than 79%
11%
Healthcare Access
healthier than 83%
5%
About typical
Preventive Care
healthier than 52%
13%
Disability
healthier than 51%
7%
Holding it back
Environmental Hazard
healthier than 22%
14%
Mental Health
healthier than 31%
8%
Climate / Disaster Risk
healthier than 26%
5%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 96%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 68%
8%
Disability
healthier than 87%
7%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 87%
5%
Holding it back
Environmental Hazard
healthier than 17%
14%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Social Need / SDOH
healthier than 96%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 83%
7%
Climate / Disaster Risk
healthier than 83%
5%
Healthcare Access
healthier than 84%
5%
Holding it back
Environmental Hazard
healthier than 38%
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 76.9 ± 1.2 years. A median household income of $62,694 predicts 78.2 years — 1.4 years below.
Ranked #1,707 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
74105
Oklahomashares a border
Score 50.05
Closest healthier
74114
Oklahomashares a border
Score 57.50
Similar health profile
73003
Oklahoma94% similar profile
Score 54.94
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 | 26.2% | 24.1–28.6 |
| High blood pressure among adults | 36.1% | 33.5–38.9 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.7 |
| Current asthma among adults | 11.1% | 10.0–12.4 |
| Coronary heart disease among adults | 6.9% | 6.2–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.1–7.7 |
| Depression among adults | 26.7% | 24.0–29.7 |
| Diagnosed diabetes among adults | 11.0% | 9.8–12.4 |
| High cholesterol among adults who have ever been screened | 36.0% | 33.3–39.1 |
| Obesity among adults | 33.5% | 30.0–37.6 |
| Stroke among adults | 3.4% | 3.2–3.7 |
| All teeth lost among adults aged >=65 years | 10.4% | 8.7–12.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.7–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 75.6–80.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 75.7–80.7 |
| Cholesterol screening among adults | 86.7% | 85.3–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 66.8% | 62.7–70.6 |
| Visited dentist or dental clinic in the past year among adults | 63.9% | 61.0–66.8 |
| Mammography use among women aged 50-74 years | 74.3% | 68.1–79.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.4–15.4 |
| Current cigarette smoking among adults | 12.4% | 10.9–14.1 |
| No leisure-time physical activity among adults | 27.3% | 24.6–30.5 |
| Short sleep duration among adults | 33.4% | 29.8–37.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.7% | 15.9–19.8 |
| Frequent mental distress among adults | 16.4% | 14.8–18.3 |
| Frequent physical distress among adults | 12.6% | 11.3–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.8% | 13.3–16.5 |
| Any disability among adults | 35.9% | 33.0–39.2 |
| Hearing disability among adults | 8.8% | 8.0–9.8 |
| Independent living disability among adults | 8.2% | 7.4–9.2 |
| Mobility disability among adults | 15.0% | 13.5–16.8 |
| Self-care disability among adults | 3.6% | 3.3–3.9 |
| Vision disability among adults | 5.0% | 4.6–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.7% | 20.6–27.1 |
| Food insecurity in the past 12 months among adults | 14.0% | 12.1–15.9 |
| Received food stamps in the past 12 months among adults | 11.4% | 9.9–13.1 |
| Housing insecurity in the past 12 months among adults | 11.5% | 10.0–13.1 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.9–8.8 |
| Loneliness among adults | 33.3% | 29.3–37.5 |
| Utility services shut-off threat in the past 12 months among adults | 8.7% | 7.6–9.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 16.9% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 5.7% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 48.1% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 4.9% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 9.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 90.4% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 33.4% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 48.5% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 7.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 52.1% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 21.5% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 40.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $62,694 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $248,600 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $966 | $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 | 76.9 yr ± 0.62 | 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 0.62 years of 76.9, 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