ZIP code
74332
in Big Cabin, OklahomaPopulation 1,690
41.42/ 100
Ranked #25,736 of 32,066 US ZIPs (bottom 20%)
Ranked #259 of 634 Oklahoma ZIPs (top 41%)
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
67.2%
in the bottom 5.9% nationally
Higher is healthier
ST44thUS6thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Crowded housing
6.7%
in the top 9.1% nationally
Lower is healthier
ST94thUS91stDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Fine-particle (PM2.5) exceedance
0.88%
in the top 10.0% nationally
Lower is healthier
ST98thUS90thDefinition & 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
Big Cabin, Oklahoma (ZIP 74332) ranks in the bottom 20% nationally (25,736th) and the top 41% of Oklahoma (259th).
Several signals sit on each side of the ledger here: modeled pfas is in the bottom 16% nationally, and binge drinking registers in the bottom 16% nationally. Working the other way, modeled mammography lies in the bottom 5.9% nationally, and crowded housing is in the top 9.1% nationally. Modeled fine-particle registers in the top 10.0% nationally, extreme heat lies in the top 11.6% nationally, and hearing disability is in the top 11.8% nationally. Home broadband subscription registers in the bottom 18% nationally. Recreation lies at the national minimum, shared with about 35% of ZIPs. Modeled tooth loss is in the top 16% nationally.
For context, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The closest ZIP that ranks healthier overall is ZIP 74330, 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.
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 44%
14%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 23%
16%
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 24%
5%
Healthcare Access
healthier than 34%
5%
Lifting this score
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 67%
11%
Climate / Disaster Risk
healthier than 80%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 46%
16%
Environmental Hazard
healthier than 49%
14%
Mental Health
healthier than 56%
8%
Disability
healthier than 58%
7%
Holding it back
Healthcare Access
healthier than 39%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74016
Oklahomashares a border
Score 33.21
Closest healthier
74330
Oklahomashares a border
Score 42.84
Similar health profile
74002
Oklahoma99% similar profile
Score 40.37
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 | 32.6% | 30.3–34.9 |
| High blood pressure among adults | 42.9% | 40.0–45.6 |
| Cancer (non-skin) or melanoma among adults | 9.5% | 8.9–10.2 |
| Current asthma among adults | 12.2% | 11.3–13.3 |
| Coronary heart disease among adults | 8.6% | 8.0–9.3 |
| Chronic obstructive pulmonary disease among adults | 9.6% | 8.7–10.7 |
| Depression among adults | 25.3% | 23.0–27.8 |
| Diagnosed diabetes among adults | 14.3% | 13.0–15.7 |
| High cholesterol among adults who have ever been screened | 41.8% | 39.0–44.7 |
| Obesity among adults | 40.1% | 35.4–44.7 |
| Stroke among adults | 4.4% | 4.1–4.7 |
| All teeth lost among adults aged >=65 years | 20.7% | 18.4–23.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.7–10.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.7% | 76.8–80.5 |
| Visits to doctor for routine checkup within the past year among adults | 79.7% | 77.5–81.8 |
| Cholesterol screening among adults | 86.3% | 84.9–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.3% | 59.0–65.7 |
| Visited dentist or dental clinic in the past year among adults | 55.3% | 52.7–58.1 |
| Mammography use among women aged 50-74 years | 67.2% | 61.8–72.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 11.6–15.0 |
| Current cigarette smoking among adults | 18.4% | 16.5–20.5 |
| No leisure-time physical activity among adults | 31.9% | 28.6–35.3 |
| Short sleep duration among adults | 36.7% | 32.9–40.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.9% | 19.8–24.2 |
| Frequent mental distress among adults | 18.0% | 16.5–19.5 |
| Frequent physical distress among adults | 16.0% | 14.7–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.5% | 16.0–19.1 |
| Any disability among adults | 41.0% | 37.7–44.3 |
| Hearing disability among adults | 10.7% | 9.9–11.6 |
| Independent living disability among adults | 10.1% | 9.2–11.1 |
| Mobility disability among adults | 19.4% | 17.7–21.3 |
| Self-care disability among adults | 4.6% | 4.2–5.0 |
| Vision disability among adults | 6.2% | 5.7–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.7% | 22.1–27.5 |
| Food insecurity in the past 12 months among adults | 16.8% | 14.9–18.8 |
| Received food stamps in the past 12 months among adults | 13.8% | 12.0–15.7 |
| Housing insecurity in the past 12 months among adults | 12.3% | 11.0–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 9.0% | 8.2–9.9 |
| Loneliness among adults | 32.2% | 28.9–35.6 |
| Utility services shut-off threat in the past 12 months among adults | 9.2% | 8.3–10.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 27.6% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 12.4% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 14.5% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 6.5% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 80.2% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 15.8% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 86.1% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 6.7% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 3.1% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 62.3% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 23.2% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 41.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $60,781 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $167,500 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $873 | $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 ± 0.75 | 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 0.75 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