ZIP code
74132
in Tulsa, OklahomaPopulation 10,858
52.14/ 100
Ranked #13,270 of 32,066 US ZIPs (top 41%)
Ranked #46 of 634 Oklahoma ZIPs (top 7.3%)
Ranked #11 of 88 Tulsa, OK ZIPs (top 12.5%)
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.
Industrial-pollution burden
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›Outer-floodplain exposure
11.5%
in the top 3.4% nationally
Lower is healthier
ST98thUS97thDefinition & 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 ›Transit access
3.5 per 1,000 residents
in the top 8.5% nationally
Higher is healthier
ST94thUS92ndDefinition & 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 ›Dry extreme heat
51 days/year
in the top 9.1% nationally
Lower is healthier
ST29thUS91stDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Pharmacy access
0.36 per 1,000 residents
in the top 9.8% nationally
Higher is healthier
ST85thUS90thDefinition & 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 ›Homeownership rate
56.4%
in the bottom 13.1% nationally
Higher is healthier
ST10thUS13thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Energy-cost burden
2.2%
in the bottom 18% nationally
Lower is healthier
ST3rdUS18thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Park land
4.0%
in the top 21% nationally
Higher is healthier
ST94thUS79thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Diabetes
10.5%
in the bottom 21% nationally
Lower is healthier
ST7thUS21stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Fair or poor health
16.9%
in the bottom 25% nationally
Lower is healthier
ST6thUS25thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
On the composite measure, ZIP 74132, one of several in Tulsa, Oklahoma stands in the top 41% healthiest ZIPs nationally (13,270th) and the top 7.3% of Oklahoma (46th).
Several signals sit on each side of the ledger here: distance to an emergency room lands at the national minimum, shared with about 11% of ZIPs. Transit settles in the top 8.5% nationally, and pharmacy rests in the top 9.8% nationally. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs. Physicians settles in the top 14.4% nationally. Working the other way, modeled industrial-pollution burden rests in the top 1.6% nationally, outer-floodplain exposure lands in the top 3.4% nationally, and modeled extreme heat settles in the top 9.1% nationally. Homeownership rests in the bottom 13.1% nationally, and modeled fine-particle lands in the top 13.6% nationally.
Set beside the wider area around it, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. For clarity, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". ZIP 74037, just across the boundary, ranks better overall among the ZIPs nearby.
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 72%
21%
Social Need / SDOH
healthier than 67%
16%
Risk Behavior
healthier than 75%
11%
About typical
Preventive Care
healthier than 40%
13%
Disability
healthier than 58%
7%
Healthcare Access
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 12%
14%
Mental Health
healthier than 36%
8%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 91%
7%
Healthcare Access
healthier than 62%
5%
About typical
Climate / Disaster Risk
healthier than 40%
5%
Holding it back
Environmental Hazard
healthier than 8%
14%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 89%
7%
About typical
Healthcare Access
healthier than 49%
5%
Holding it back
Environmental Hazard
healthier than 25%
14%
Climate / Disaster Risk
healthier than 36%
5%
“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
3 of our published findings list 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.6 ± 2.1 years. A median household income of $79,543 predicts 79.2 years — 2.5 years above.
Ranked #661 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 81.6 ± 2.1 years. The 48 nearest ZIP codes with estimates average 75.9 years — 5.7 years above them.
Ranked #58 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 11.9; chronic-disease standing 71.6 — 60 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,382 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74037
Oklahomashares a border
Score 54.81
Closest healthier
74137
Oklahomashares a border
Score 60.11
Similar health profile
73118
Oklahoma96% similar profile
Score 54.57
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 | 25.3% | 23.4–27.2 |
| High blood pressure among adults | 34.2% | 31.9–36.6 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.7–9.0 |
| Current asthma among adults | 10.8% | 9.9–11.9 |
| Coronary heart disease among adults | 6.5% | 5.9–7.1 |
| Chronic obstructive pulmonary disease among adults | 6.6% | 5.9–7.3 |
| Depression among adults | 25.9% | 23.6–28.4 |
| Diagnosed diabetes among adults | 10.5% | 9.5–11.6 |
| High cholesterol among adults who have ever been screened | 35.9% | 33.5–38.4 |
| Obesity among adults | 33.1% | 29.8–36.6 |
| Stroke among adults | 3.2% | 3.0–3.5 |
| All teeth lost among adults aged >=65 years | 12.0% | 10.4–13.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.3% | 7.2–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.5% | 74.5–78.5 |
| Visits to doctor for routine checkup within the past year among adults | 77.5% | 75.1–79.8 |
| Cholesterol screening among adults | 85.8% | 84.3–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 64.5% | 61.2–67.7 |
| Visited dentist or dental clinic in the past year among adults | 63.1% | 60.6–65.7 |
| Mammography use among women aged 50-74 years | 73.2% | 68.0–77.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 12.4–16.0 |
| Current cigarette smoking among adults | 12.5% | 11.1–14.1 |
| No leisure-time physical activity among adults | 26.3% | 23.7–29.1 |
| Short sleep duration among adults | 34.3% | 31.0–37.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 15.3–18.6 |
| Frequent mental distress among adults | 16.4% | 15.0–18.0 |
| Frequent physical distress among adults | 12.2% | 11.1–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.7% | 13.4–16.2 |
| Any disability among adults | 34.7% | 32.0–37.5 |
| Hearing disability among adults | 8.5% | 7.8–9.3 |
| Independent living disability among adults | 7.9% | 7.2–8.7 |
| Mobility disability among adults | 13.9% | 12.6–15.4 |
| Self-care disability among adults | 3.3% | 3.0–3.6 |
| Vision disability among adults | 4.7% | 4.3–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.7% | 21.1–26.3 |
| Food insecurity in the past 12 months among adults | 13.2% | 11.7–14.7 |
| Received food stamps in the past 12 months among adults | 10.3% | 8.9–11.6 |
| Housing insecurity in the past 12 months among adults | 10.6% | 9.4–11.8 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.6–8.1 |
| Loneliness among adults | 33.1% | 29.8–36.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.8% | 7.0–8.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.2% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 12.0% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 5.3% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 44.8% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 4.7% | 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) | 27.5% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 56.4% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 6.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 52.0% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 18.4% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 36.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $79,543 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $286,500 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $1,200 | $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 | 81.6 yr ± 1.08 | 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 1.08 years of 81.6, 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