ZIP code
74632
in Braman, OklahomaPopulation 553
40.42/ 100
Ranked #26,466 of 32,066 US ZIPs (bottom 17%)
Ranked #297 of 634 Oklahoma ZIPs (top 47%)
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.
Nitrate in drinking water
40%
in the top 1.2% nationally
Lower is healthier
ST85thUS99thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Hearing disability
12.4%
in the top 3.3% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Home broadband subscription
62.9%
in the bottom 3.5% nationally
Higher is healthier
ST5thUS3rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Dry extreme heat
60.9 days/year
in the top 7.2% nationally
Lower is healthier
ST52ndUS93rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Floodplain exposure
34%
in the top 8.3% nationally
Lower is healthier
ST94thUS92ndDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
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 ›Fine-particle (PM2.5) exceedance
1.1%
in the top 8.6% nationally
Lower is healthier
ST99thUS91stDefinition & 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 ›High cholesterol
44.3%
in the top 6.0% nationally
Lower is healthier
ST91stUS94thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Coronary heart disease
10.2%
in the top 8.3% nationally
Lower is healthier
ST83rdUS92ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›High blood pressure
46.1%
in the top 9.6% nationally
Lower is healthier
ST80thUS90thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Fiber broadband
94.8%
in the top 10.7% nationally
Higher is healthier
ST93rdUS89thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›The read
Braman, Oklahoma (ZIP 74632), overall, ranks in the bottom 17% nationally (26,466th) and the top 47% of Oklahoma (297th).
Taken together, the data gives a genuinely mixed reading: unemployment resides at the national minimum, shared with about 15% of ZIPs. On the other side, modeled nitrate settles in the top 1.2% nationally, modeled hearing disability is in the top 3.3% nationally, and home broadband subscription sits in the bottom 3.5% nationally. Modeled extreme heat lands in the top 7.2% nationally, and floodplain exposure lies in the top 8.3% nationally. Modeled fine-particle stands in the top 8.6% nationally, and high cholesterol rests in the top 6.0% nationally. Modeled coronary heart disease registers in the top 8.3% nationally, and high blood pressure resides in the top 9.6% nationally.
Defined simply, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. 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. ZIP 67140, just across the boundary, comes out healthier overall.
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
Preventive Care
healthier than 54%
13%
Risk Behavior
healthier than 54%
11%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 19%
14%
Mental Health
healthier than 39%
8%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 6%
5%
Healthcare Access
healthier than 25%
5%
Lifting this score
Social Need / SDOH
healthier than 62%
16%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 80%
8%
About typical
Disability
healthier than 52%
7%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Environmental Hazard
healthier than 15%
14%
Climate / Disaster Risk
healthier than 8%
5%
Healthcare Access
healthier than 28%
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
67140
Kansasshares a border
Score 47.63
Closest healthier
73759
Oklahomashares a border
Score 44.45
Similar health profile
73063
Oklahoma98% similar profile
Score 45.78
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 | 37.0% | 33.3–40.7 |
| High blood pressure among adults | 46.1% | 41.7–50.4 |
| Cancer (non-skin) or melanoma among adults | 11.6% | 10.4–12.8 |
| Current asthma among adults | 11.2% | 9.9–12.6 |
| Coronary heart disease among adults | 10.2% | 9.1–11.4 |
| Chronic obstructive pulmonary disease among adults | 10.7% | 9.2–12.2 |
| Depression among adults | 25.2% | 21.6–29.0 |
| Diagnosed diabetes among adults | 15.4% | 13.2–17.4 |
| High cholesterol among adults who have ever been screened | 44.3% | 39.7–48.9 |
| Obesity among adults | 41.3% | 33.6–49.3 |
| Stroke among adults | 4.9% | 4.4–5.4 |
| All teeth lost among adults aged >=65 years | 17.1% | 14.0–20.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 7.0–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.9% | 79.4–84.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.2–83.4 |
| Cholesterol screening among adults | 87.7% | 86.0–89.2 |
| Colorectal cancer screening among adults aged 45–75 years | 66.4% | 61.1–71.5 |
| Visited dentist or dental clinic in the past year among adults | 59.9% | 55.9–64.0 |
| Mammography use among women aged 50-74 years | 70.6% | 62.2–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.0% | 10.7–15.6 |
| Current cigarette smoking among adults | 17.7% | 14.8–20.4 |
| No leisure-time physical activity among adults | 31.5% | 26.4–36.3 |
| Short sleep duration among adults | 33.7% | 27.7–40.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.2% | 19.0–25.3 |
| Frequent mental distress among adults | 16.5% | 14.5–18.5 |
| Frequent physical distress among adults | 16.1% | 14.1–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.0% | 13.9–18.0 |
| Any disability among adults | 41.7% | 36.8–46.4 |
| Hearing disability among adults | 12.4% | 11.0–13.8 |
| Independent living disability among adults | 9.9% | 8.6–11.2 |
| Mobility disability among adults | 20.9% | 18.1–23.6 |
| Self-care disability among adults | 4.7% | 4.2–5.3 |
| Vision disability among adults | 6.0% | 5.3–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.2% | 19.3–27.1 |
| Food insecurity in the past 12 months among adults | 14.0% | 11.5–16.7 |
| Received food stamps in the past 12 months among adults | 12.2% | 10.0–14.8 |
| Housing insecurity in the past 12 months among adults | 9.9% | 8.3–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.3–8.5 |
| Loneliness among adults | 30.2% | 25.0–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.7% | 6.6–8.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 2.6% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 3.1% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 22.9% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 1.2% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 62.9% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 14.7% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 90.2% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 0.4% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 54.1% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 42.0% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 48.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $88,750 | $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 | $867 | $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 | 77.3 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 77.3, 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