ZIP code
73763
in Okeene, OklahomaPopulation 1,812
37.58/ 100
Ranked #28,247 of 32,066 US ZIPs (bottom 12.0%)
Ranked #413 of 634 Oklahoma ZIPs (bottom 35%)
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
54.7%
in the top 0.8% nationally
Lower is healthier
ST90thUS99thDefinition & 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 ›Mammography
65.4%
in the bottom 3.3% nationally
Higher is healthier
ST22ndUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Pharmacy access
0.69 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST96thUS98thDefinition & 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 ›Energy-cost burden
5.8%
in the top 3.6% nationally
Lower is healthier
ST99thUS96thDefinition & 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 ›Hearing disability
11.7%
in the top 5.6% nationally
Lower is healthier
ST71stUS94thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Dry extreme heat
73.5 days/year
in the top 5.6% nationally
Lower is healthier
ST90thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Distance to a Superfund site
59.3 mi
in the top 8.9% nationally
Higher is healthier
ST83rdUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Industrial-pollution burden
in the bottom 9.9% nationally
Lower is healthier
ST13thUS10thDefinition & 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 ›Fiber broadband
94.5%
in the top 11.0% nationally
Higher is healthier
ST92ndUS89thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Colon-cancer screening
58.3%
in the bottom 9.9% nationally
Higher is healthier
ST23rdUS10thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Judged by its overall standing, Okeene, Oklahoma (ZIP 73763) sits in the bottom 12.0% nationally (28,247th) and the bottom 35% of Oklahoma (413th), based on limited data; treat as directional.
A few readings account for most of this area's strain: modeled nitrate lies in the top 0.8% nationally, mammography registers in the bottom 3.3% nationally, and energy burden is in the top 3.6% nationally. Modeled hearing disability lies in the top 5.6% nationally, modeled extreme heat registers in the top 5.6% nationally, and fatal road crashes is in the top 10.8% nationally. On the better side, pharmacy lies in the top 2.4% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Distance to a Superfund site is in the top 8.9% nationally, and modeled industrial-pollution burden lies in the bottom 9.9% nationally.
Put plainly, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. A healthier nearby ZIP overall is ZIP 73718, 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
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 13%
16%
Environmental Hazard
healthier than 30%
14%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 31%
8%
Disability
healthier than 14%
7%
Climate / Disaster RiskPartial
healthier than 4%
5%
Lifting this score
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 67%
8%
About typical
Chronic Disease Burden
healthier than 45%
21%
Healthcare Access
healthier than 55%
5%
Holding it back
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 29%
13%
Disability
healthier than 40%
7%
Climate / Disaster RiskPartial
healthier than 3%
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
73718
Oklahomashares a border
Score 41.41
Closest healthier
73737
Oklahomashares a border
Score 41.58
Similar health profile
73573
Oklahoma99% similar profile
Score 35.00
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 | 32.7% | 29.4–36.1 |
| High blood pressure among adults | 43.7% | 39.7–47.7 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 9.0–10.9 |
| Current asthma among adults | 11.3% | 10.0–12.7 |
| Coronary heart disease among adults | 9.5% | 8.4–10.7 |
| Chronic obstructive pulmonary disease among adults | 10.3% | 8.8–12.0 |
| Depression among adults | 25.1% | 21.6–28.8 |
| Diagnosed diabetes among adults | 14.4% | 12.6–16.5 |
| High cholesterol among adults who have ever been screened | 42.3% | 38.0–46.3 |
| Obesity among adults | 38.0% | 30.8–45.6 |
| Stroke among adults | 4.6% | 4.1–5.2 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.3–21.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.8% | 10.2–15.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.8–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 79.4% | 76.0–82.7 |
| Cholesterol screening among adults | 85.0% | 82.8–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 58.3% | 53.4–63.3 |
| Visited dentist or dental clinic in the past year among adults | 52.2% | 48.4–56.1 |
| Mammography use among women aged 50-74 years | 65.4% | 56.8–73.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.7% | 10.4–15.3 |
| Current cigarette smoking among adults | 17.9% | 15.2–21.1 |
| No leisure-time physical activity among adults | 34.4% | 29.4–39.8 |
| Short sleep duration among adults | 36.4% | 30.0–43.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.0% | 20.6–27.7 |
| Frequent mental distress among adults | 17.6% | 15.6–19.7 |
| Frequent physical distress among adults | 16.4% | 14.3–18.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.1% | 15.9–20.7 |
| Any disability among adults | 42.9% | 38.2–48.0 |
| Hearing disability among adults | 11.7% | 10.4–13.1 |
| Independent living disability among adults | 10.9% | 9.4–12.5 |
| Mobility disability among adults | 20.6% | 17.8–23.6 |
| Self-care disability among adults | 5.2% | 4.4–5.9 |
| Vision disability among adults | 6.9% | 6.0–7.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.4% | 20.8–28.2 |
| Food insecurity in the past 12 months among adults | 18.1% | 15.1–21.6 |
| Received food stamps in the past 12 months among adults | 15.2% | 12.6–18.5 |
| Housing insecurity in the past 12 months among adults | 12.9% | 10.9–15.0 |
| Lack of reliable transportation in the past 12 months among adults | 9.1% | 7.9–10.5 |
| Loneliness among adults | 31.8% | 26.8–36.8 |
| Utility services shut-off threat in the past 12 months among adults | 9.3% | 7.9–10.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.1% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 14.2% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 23.9% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 17.7% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 8.7% | 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 | 83.3% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 20.6% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 60.6% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 4.2% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 5.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 38.4% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 32.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $61,868 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $135,400 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $877 | $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 | 74.5 yr ± 2.04 | 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 2.04 years of 74.5, 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