ZIP code
74337
in Chouteau, OklahomaPopulation 5,109
36.95/ 100
Ranked #28,555 of 32,066 US ZIPs (bottom 11.0%)
Ranked #434 of 634 Oklahoma ZIPs (bottom 32%)
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
66.8%
in the bottom 5.1% nationally
Higher is healthier
ST37thUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Natural-disaster risk
in the top 7.8% nationally
Lower is healthier
ST91stUS92ndDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Tooth loss
23.8%
in the top 9.1% nationally
Lower is healthier
ST84thUS91stDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Hearing disability
11.1%
in the top 8.7% nationally
Lower is healthier
ST58thUS91stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Fatal road crashes
35.2 per 100,000 residents per year
in the top 9.5% nationally
Lower is healthier
ST80thUS91stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
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 ›Loud transportation noise
1.4%
in the top 12.4% nationally
Lower is healthier
ST91stUS88thDefinition & 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 ›PFOS in drinking water
60.4%
in the top 16% nationally
Lower is healthier
ST96thUS84thDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›The read
Judged by its overall standing, Chouteau, Oklahoma (ZIP 74337) sits in the bottom 11.0% nationally (28,555th) and the bottom 32% of Oklahoma (434th).
A balanced showing across the data, with a few readings each side: distance to a nursing home rests at the national minimum, shared with about 27% of ZIPs. On the other hand, modeled mammography settles in the bottom 5.1% nationally, disaster risk lands in the top 7.8% nationally, and tooth loss rests in the top 9.1% nationally. Modeled hearing disability settles in the top 8.7% nationally, and fatal road crashes lands in the top 9.5% nationally. Modeled extreme heat rests in the top 11.5% nationally, and fine-particle settles in the top 11.7% nationally. Modeled loud transportation noise lands in the top 12.4% nationally, and floodplain exposure rests in the top 14.2% nationally.
Put plainly, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier nearby ZIP overall is ZIP 74036, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 69%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 15%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Social Need / SDOH
healthier than 64%
16%
Healthcare Access
healthier than 74%
5%
About typical
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 44%
11%
Mental Health
healthier than 45%
8%
Disability
healthier than 41%
7%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Environmental Hazard
healthier than 4%
14%
Climate / Disaster Risk
healthier than 31%
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
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 74.8 ± 1.8 years. A median household income of $66,934 predicts 78.5 years — 3.7 years below.
Ranked #4,838 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
74036
Oklahomashares a border
Score 43.43
Closest healthier
74361
Oklahomashares a border
Score 37.18
Similar health profile
74647
Oklahoma99% similar profile
Score 40.87
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 | 33.1% | 29.7–36.8 |
| High blood pressure among adults | 43.6% | 39.5–48.1 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.2 |
| Current asthma among adults | 12.4% | 11.1–14.0 |
| Coronary heart disease among adults | 8.9% | 8.0–9.9 |
| Chronic obstructive pulmonary disease among adults | 10.4% | 9.2–11.8 |
| Depression among adults | 25.3% | 21.9–29.3 |
| Diagnosed diabetes among adults | 14.5% | 12.7–16.6 |
| High cholesterol among adults who have ever been screened | 42.1% | 37.7–46.5 |
| Obesity among adults | 40.7% | 33.7–48.4 |
| Stroke among adults | 4.6% | 4.2–5.1 |
| All teeth lost among adults aged >=65 years | 23.8% | 20.0–27.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.3% | 8.7–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.6% | 75.0–80.2 |
| Visits to doctor for routine checkup within the past year among adults | 79.0% | 75.7–82.3 |
| Cholesterol screening among adults | 85.0% | 83.1–86.8 |
| Colorectal cancer screening among adults aged 45–75 years | 59.3% | 54.2–64.2 |
| Visited dentist or dental clinic in the past year among adults | 54.9% | 51.2–58.4 |
| Mammography use among women aged 50-74 years | 66.8% | 58.2–74.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.0–16.2 |
| Current cigarette smoking among adults | 19.9% | 17.3–22.8 |
| No leisure-time physical activity among adults | 34.3% | 29.6–39.5 |
| Short sleep duration among adults | 37.3% | 31.3–43.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.9% | 21.0–27.2 |
| Frequent mental distress among adults | 18.7% | 16.7–21.0 |
| Frequent physical distress among adults | 16.8% | 14.9–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 16.9–21.3 |
| Any disability among adults | 43.3% | 38.7–48.4 |
| Hearing disability among adults | 11.1% | 9.9–12.4 |
| Independent living disability among adults | 11.0% | 9.8–12.3 |
| Mobility disability among adults | 20.6% | 18.1–23.3 |
| Self-care disability among adults | 5.1% | 4.6–5.7 |
| Vision disability among adults | 6.9% | 6.2–7.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.6% | 22.2–29.5 |
| Food insecurity in the past 12 months among adults | 19.1% | 16.6–22.0 |
| Received food stamps in the past 12 months among adults | 16.4% | 14.1–19.0 |
| Housing insecurity in the past 12 months among adults | 13.9% | 12.1–15.9 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 9.1–11.5 |
| Loneliness among adults | 32.2% | 27.7–37.3 |
| Utility services shut-off threat in the past 12 months among adults | 10.5% | 9.3–12.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 23.5% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 14.8% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 18.7% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 5.9% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 6.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 86.3% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 16.9% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 80.4% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 4.1% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 57.4% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 20.4% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 40.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $66,934 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $192,800 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $776 | $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 | 74.8 yr ± 0.92 | 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 0.92 years of 74.8, 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