ZIP code
74435
in Gore, OklahomaPopulation 3,042
33.22/ 100
Ranked #29,988 of 32,066 US ZIPs (bottom 6.5%)
Ranked #527 of 634 Oklahoma ZIPs (bottom 17%)
Ranked #24 of 31 Fort Smith, AR-OK ZIPs (bottom 23%)
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
63.3%
in the bottom 1.7% nationally
Higher is healthier
ST6thUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Hearing disability
13.2%
in the top 1.6% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Mobility disability
24.3%
in the top 4.4% nationally
Lower is healthier
ST88thUS96thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Obesity
45.5%
in the top 3.7% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Coronary heart disease
10.6%
in the top 6.0% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Independent-living disability
12.7%
in the top 7.9% nationally
Lower is healthier
ST86thUS92ndDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Tooth loss
24.2%
in the top 8.4% nationally
Lower is healthier
ST86thUS92ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Stroke
5.5%
in the top 7.8% nationally
Lower is healthier
ST88thUS92ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Binge drinking
12.1%
in the bottom 7.3% nationally
Lower is healthier
ST15thUS7thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›High blood pressure
46.7%
in the top 8.3% nationally
Lower is healthier
ST84thUS92ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
Gore, Oklahoma (ZIP 74435), on the composite measure, lands in the bottom 6.5% nationally (29,988th) and the bottom 17% of Oklahoma (527th).
The main burdens in the data show plainly and lead the picture: modeled mammography is in the bottom 1.7% nationally, hearing disability rests in the top 1.6% nationally, and mobility disability sits in the top 4.4% nationally. Modeled obesity registers in the top 3.7% nationally, coronary heart disease lands in the top 6.0% nationally, and independent living disability resides in the top 7.9% nationally. Modeled tooth loss lies in the top 8.4% nationally, and stroke settles in the top 7.8% nationally. Modeled high blood pressure stands in the top 8.3% nationally. More positively, modeled binge drinking is in the bottom 7.3% nationally.
A healthier neighbor overall sits at ZIP 74403, just across the boundary. Modeled obesity is in the top 3.7% nationally.
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. Compare it against the US, this state and the Fort Smith, AR-OK metro area.
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 54%
14%
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 15%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Environmental Hazard
healthier than 64%
14%
About typical
Risk Behavior
healthier than 42%
11%
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 34%
16%
Preventive Care
healthier than 40%
13%
Mental Health
healthier than 25%
8%
Disability
healthier than 12%
7%
Climate / Disaster Risk
healthier than 32%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 48%
14%
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 52%
11%
Mental Health
healthier than 52%
8%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 28%
16%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 17%
5%
Healthcare Access
healthier than 34%
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.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 55.0; chronic-disease standing 4.5 (bottom 10%) — 51 points apart, cleaner on the environment than it is on chronic illness.
Ranked #2,454 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74403
Oklahomashares a border
Score 36.10
Closest healthier
74423
Oklahomashares a border
Score 42.16
Similar health profile
74054
Oklahoma99% similar profile
Score 32.75
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 | 35.7% | 32.5–39.0 |
| High blood pressure among adults | 46.7% | 42.8–50.6 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.2–10.9 |
| Current asthma among adults | 13.0% | 11.6–14.4 |
| Coronary heart disease among adults | 10.6% | 9.7–11.6 |
| Chronic obstructive pulmonary disease among adults | 12.1% | 10.9–13.5 |
| Depression among adults | 26.2% | 22.9–29.7 |
| Diagnosed diabetes among adults | 17.2% | 15.2–19.3 |
| High cholesterol among adults who have ever been screened | 42.9% | 38.8–47.0 |
| Obesity among adults | 45.5% | 38.8–52.5 |
| Stroke among adults | 5.5% | 5.1–6.0 |
| All teeth lost among adults aged >=65 years | 24.2% | 20.5–28.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.1% | 9.5–12.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.1% | 77.6–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 80.7% | 77.6–83.4 |
| Cholesterol screening among adults | 85.3% | 83.6–86.9 |
| Colorectal cancer screening among adults aged 45–75 years | 59.4% | 54.4–64.5 |
| Visited dentist or dental clinic in the past year among adults | 53.6% | 50.1–57.3 |
| Mammography use among women aged 50-74 years | 63.3% | 54.9–71.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.1% | 10.1–14.4 |
| Current cigarette smoking among adults | 21.9% | 19.4–24.5 |
| No leisure-time physical activity among adults | 36.9% | 32.4–41.6 |
| Short sleep duration among adults | 35.8% | 29.9–42.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.5% | 24.6–30.5 |
| Frequent mental distress among adults | 19.3% | 17.3–21.3 |
| Frequent physical distress among adults | 18.6% | 16.8–20.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.9% | 18.0–21.8 |
| Any disability among adults | 47.5% | 43.3–51.8 |
| Hearing disability among adults | 13.2% | 11.9–14.5 |
| Independent living disability among adults | 12.7% | 11.4–13.9 |
| Mobility disability among adults | 24.3% | 21.9–26.9 |
| Self-care disability among adults | 6.1% | 5.6–6.6 |
| Vision disability among adults | 8.4% | 7.7–9.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.4% | 22.8–30.3 |
| Food insecurity in the past 12 months among adults | 22.7% | 20.0–25.6 |
| Received food stamps in the past 12 months among adults | 20.4% | 17.9–23.1 |
| Housing insecurity in the past 12 months among adults | 15.5% | 13.6–17.5 |
| Lack of reliable transportation in the past 12 months among adults | 11.8% | 10.6–13.2 |
| Loneliness among adults | 33.0% | 28.3–38.0 |
| Utility services shut-off threat in the past 12 months among adults | 12.1% | 10.7–13.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.5% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 21.3% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 18.6% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 18.0% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 8.8% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 3.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 85.1% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 23.6% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 80.5% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 61.4% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 34.6% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 50.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $53,580 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $146,500 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $791 | $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 | 75.3 yr ± 0.69 | 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 0.69 years of 75.3, 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