ZIP code
74460
in Schulter, OklahomaPopulation 377
35.77/ 100
Ranked #29,092 of 32,066 US ZIPs (bottom 9.3%)
Ranked #467 of 634 Oklahoma ZIPs (bottom 26%)
Ranked #64 of 88 Tulsa, OK ZIPs (bottom 27%)
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.
Mammography
64.2%
in the bottom 2.2% nationally
Higher is healthier
ST10thUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Hearing disability
12.6%
in the top 2.8% nationally
Lower is healthier
ST85thUS97thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Loud transportation noise
2.7%
in the top 4.6% nationally
Lower is healthier
ST98thUS95thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Mobility disability
22.4%
in the top 8.4% nationally
Lower is healthier
ST77thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Industrial-pollution burden
in the bottom 7.8% nationally
Lower is healthier
ST10thUS8thDefinition & 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 ›High blood pressure
46.9%
in the top 7.9% nationally
Lower is healthier
ST86thUS92ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Obesity
44.2%
in the top 5.8% nationally
Lower is healthier
ST87thUS94thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Transportation noise
9.8%
in the top 8.8% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Housing-cost burden
9.5%
in the bottom 8.9% nationally
Lower is healthier
ST10thUS9thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Dry extreme heat
50.8 days/year
in the top 9.2% 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 ›The read
Schulter, Oklahoma (ZIP 74460), on the composite measure, lands in the bottom 9.3% nationally (29,092nd) and the bottom 26% of Oklahoma (467th).
Where this area is stretched, the data is unambiguous: modeled mammography sits in the bottom 2.2% nationally, hearing disability registers in the top 2.8% nationally, and loud transportation noise lands in the top 4.6% nationally. Modeled mobility disability resides in the top 8.4% nationally, high blood pressure lies in the top 7.9% nationally, and obesity settles in the top 5.8% nationally. Modeled transportation noise stands in the top 8.8% nationally, and extreme heat is in the top 9.2% nationally. Better still, modeled industrial-pollution burden rests in the bottom 7.8% nationally, and housing-cost burden sits in the bottom 8.9% nationally.
In everyday language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier neighbor overall sits at ZIP 74431, about 1.2 miles away.
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.
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 27%
16%
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 20%
5%
Lifting this score
Healthcare Access
healthier than 63%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Preventive Care
healthier than 42%
13%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 57%
8%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Environmental Hazard
healthier than 12%
14%
Disability
healthier than 29%
7%
Lifting this score
Mental Health
healthier than 67%
8%
About typical
Preventive Care
healthier than 41%
13%
Climate / Disaster Risk
healthier than 50%
5%
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 37%
16%
Environmental Hazard
healthier than 32%
14%
Risk Behavior
healthier than 39%
11%
Disability
healthier than 26%
7%
“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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74437
Oklahomashares a border
Score 29.41
Closest healthier
74431
Oklahomaabout 1.2 mi away
Score 35.87
Similar health profile
74962
Oklahoma98% similar profile
Score 31.99
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 | 36.3% | 32.7–40.0 |
| High blood pressure among adults | 46.9% | 42.5–51.4 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.3–11.4 |
| Current asthma among adults | 12.3% | 10.9–13.9 |
| Coronary heart disease among adults | 10.0% | 8.9–11.2 |
| Chronic obstructive pulmonary disease among adults | 11.0% | 9.5–12.7 |
| Depression among adults | 25.1% | 21.6–29.0 |
| Diagnosed diabetes among adults | 16.5% | 14.4–18.8 |
| High cholesterol among adults who have ever been screened | 43.2% | 38.7–47.8 |
| Obesity among adults | 44.2% | 36.6–52.1 |
| Stroke among adults | 5.1% | 4.6–5.7 |
| All teeth lost among adults aged >=65 years | 23.0% | 18.9–27.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.7% | 8.6–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 77.0–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.4–83.2 |
| Cholesterol screening among adults | 86.3% | 84.3–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 57.7% | 52.1–63.2 |
| Visited dentist or dental clinic in the past year among adults | 55.1% | 51.0–59.1 |
| Mammography use among women aged 50-74 years | 64.2% | 54.8–72.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 9.9–14.8 |
| Current cigarette smoking among adults | 20.2% | 16.9–23.4 |
| No leisure-time physical activity among adults | 37.8% | 32.4–43.2 |
| Short sleep duration among adults | 36.5% | 30.1–43.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.3% | 21.8–29.0 |
| Frequent mental distress among adults | 18.1% | 16.0–20.2 |
| Frequent physical distress among adults | 17.2% | 15.0–19.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.3% | 16.0–20.7 |
| Any disability among adults | 45.0% | 40.0–49.8 |
| Hearing disability among adults | 12.6% | 11.2–14.0 |
| Independent living disability among adults | 11.1% | 9.7–12.6 |
| Mobility disability among adults | 22.4% | 19.6–25.4 |
| Self-care disability among adults | 5.2% | 4.6–5.9 |
| Vision disability among adults | 7.2% | 6.4–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.4% | 21.3–29.8 |
| Food insecurity in the past 12 months among adults | 18.9% | 15.7–22.3 |
| Received food stamps in the past 12 months among adults | 16.2% | 13.3–19.3 |
| Housing insecurity in the past 12 months among adults | 13.5% | 11.3–15.8 |
| Lack of reliable transportation in the past 12 months among adults | 9.7% | 8.3–11.1 |
| Loneliness among adults | 31.8% | 26.6–37.3 |
| Utility services shut-off threat in the past 12 months among adults | 10.1% | 8.6–11.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.4% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 8.8% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 9.8% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 1.1% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 92.6% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 9.5% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 91.0% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 76.6% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 38.2% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 53.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $92,554 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $775 | $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 | 80.8 yr ± 1.51 | 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 1.51 years of 80.8, 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