ZIP code
74930
in Bokoshe, OklahomaPopulation 1,774
35.42/ 100
Ranked #29,221 of 32,066 US ZIPs (bottom 8.9%)
Ranked #477 of 634 Oklahoma ZIPs (bottom 25%)
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
63.8%
in the bottom 2.0% nationally
Higher is healthier
ST8thUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Hearing disability
11.4%
in the top 7.0% nationally
Lower is healthier
ST64thUS93rdDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Housing-cost burden
9.5%
in the bottom 8.8% nationally
Lower is healthier
ST10thUS9thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Dry extreme heat
35.7 days/year
in the top 13.0% nationally
Lower is healthier
ST9thUS87thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
In its overall standing, Bokoshe, Oklahoma (ZIP 74930) lands in the bottom 8.9% nationally (29,221st) and the bottom 25% of Oklahoma (477th).
Taken together, the data gives a genuinely mixed reading: housing-cost burden registers in the bottom 8.8% nationally, and lead in tap water resides in the bottom 12.7% nationally. On the other side, modeled mammography settles in the bottom 2.0% nationally, hearing disability is in the top 7.0% nationally, and mobility disability sits in the top 10.3% nationally. Modeled cognitive disability lands in the top 10.7% nationally, and colon screening lies in the bottom 11.0% nationally. Modeled extreme heat stands in the top 13.0% nationally, and tooth loss rests in the top 12.6% nationally. Modeled independent living disability registers in the top 13.2% nationally.
Put simply, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. On the overall standing, ZIP 74944, just across the boundary, ranks healthier.
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 49%
14%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 20%
16%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 21%
5%
Healthcare Access
healthier than 39%
5%
Lifting this score
Climate / Disaster Risk
healthier than 70%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 38%
16%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 19%
8%
Disability
healthier than 28%
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
74941
Oklahomashares a border
Score 29.77
Closest healthier
74944
Oklahomashares a border
Score 35.64
Similar health profile
72853
Arkansas99% similar profile
Score 28.90
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 | 32.8% | 29.3–36.4 |
| High blood pressure among adults | 43.5% | 39.3–47.8 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.0–9.8 |
| Current asthma among adults | 12.5% | 11.1–14.1 |
| Coronary heart disease among adults | 9.5% | 8.6–10.5 |
| Chronic obstructive pulmonary disease among adults | 11.2% | 9.9–12.6 |
| Depression among adults | 26.3% | 22.6–30.3 |
| Diagnosed diabetes among adults | 15.5% | 13.5–17.5 |
| High cholesterol among adults who have ever been screened | 41.8% | 37.3–46.2 |
| Obesity among adults | 40.3% | 33.0–47.9 |
| Stroke among adults | 4.8% | 4.4–5.3 |
| All teeth lost among adults aged >=65 years | 21.9% | 18.5–25.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.0% | 9.2–13.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.7% | 75.9–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 75.5–82.5 |
| Cholesterol screening among adults | 83.9% | 81.7–85.8 |
| Colorectal cancer screening among adults aged 45–75 years | 58.8% | 53.8–63.8 |
| Visited dentist or dental clinic in the past year among adults | 51.8% | 48.2–55.5 |
| Mammography use among women aged 50-74 years | 63.8% | 55.2–71.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 10.7–16.1 |
| Current cigarette smoking among adults | 22.6% | 19.6–25.6 |
| No leisure-time physical activity among adults | 37.4% | 32.5–42.8 |
| Short sleep duration among adults | 37.9% | 32.0–44.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.9% | 22.8–29.2 |
| Frequent mental distress among adults | 19.8% | 17.6–22.2 |
| Frequent physical distress among adults | 17.7% | 15.6–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.7% | 17.4–22.1 |
| Any disability among adults | 43.9% | 39.2–48.7 |
| Hearing disability among adults | 11.4% | 10.2–12.7 |
| Independent living disability among adults | 11.7% | 10.4–13.1 |
| Mobility disability among adults | 21.8% | 19.2–24.4 |
| Self-care disability among adults | 5.6% | 5.0–6.2 |
| Vision disability among adults | 7.5% | 6.7–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.5% | 22.5–30.8 |
| Food insecurity in the past 12 months among adults | 21.6% | 18.4–25.1 |
| Received food stamps in the past 12 months among adults | 19.6% | 16.7–22.9 |
| Housing insecurity in the past 12 months among adults | 15.1% | 12.9–17.5 |
| Lack of reliable transportation in the past 12 months among adults | 11.1% | 9.7–12.5 |
| Loneliness among adults | 33.6% | 28.2–39.4 |
| Utility services shut-off threat in the past 12 months among adults | 11.9% | 10.3–13.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 29.0% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 14.4% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 16.7% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 7.2% | 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 | 82.5% | 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 | 82.9% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 59.7% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 20.6% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 43.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $55,526 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $134,600 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $750 | $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 | 75.4 yr ± 0.58 | 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 0.58 years of 75.4, 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