ZIP code
74035
in Hominy, OklahomaPopulation 4,021
33.35/ 100
Ranked #29,946 of 32,066 US ZIPs (bottom 6.7%)
Ranked #523 of 634 Oklahoma ZIPs (bottom 18%)
Ranked #70 of 88 Tulsa, OK ZIPs (bottom 20%)
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
62.4%
in the bottom 1.3% nationally
Higher is healthier
ST3rdUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Obesity
50.1%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Colon-cancer screening
55.5%
in the bottom 5.4% nationally
Higher is healthier
ST8thUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Cognitive disability
21.1%
in the top 5.8% nationally
Lower is healthier
ST92ndUS94thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Elder-services access
0.23 per 1,000 residents
in the top 6.0% nationally
Higher is healthier
ST91stUS94thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Utility shut-off threat
14.9%
in the top 7.2% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Dry extreme heat
52.7 days/year
in the top 8.6% nationally
Lower is healthier
ST36thUS91stDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Outpatient-care access
0.47 per 1,000 residents
in the top 9.0% nationally
Higher is healthier
ST89thUS91stDefinition & source ›
The number of outpatient clinics 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 ›Lack of transportation
13.5%
in the top 9.1% nationally
Lower is healthier
ST92ndUS91stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
26.2%
in the top 9.6% nationally
Lower is healthier
ST92ndUS90thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
On the composite measure, Hominy, Oklahoma (ZIP 74035) stands in the bottom 6.7% nationally (29,946th) and the bottom 18% of Oklahoma (523rd).
The weightiest signals in the profile are worth naming up front: modeled mammography registers in the bottom 1.3% nationally, and obesity lies in the top 0.7% nationally. Modeled colon screening is in the bottom 5.4% nationally, and cognitive disability registers in the top 5.8% nationally. Modeled utility shutoff lies in the top 7.2% nationally, extreme heat is in the top 8.6% nationally, and transportation registers in the top 9.1% nationally. Modeled food insecurity lies in the top 9.6% nationally. More positively, elder services is in the top 6.0% nationally, and outpatient registers in the top 9.0% nationally.
For clarity, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 74002, just across the boundary, ranks better overall among the ZIPs nearby.
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 Tulsa, OK metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 60%
14%
Healthcare Access
healthier than 81%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 19%
5%
Lifting this score
Environmental Hazard
healthier than 73%
14%
Healthcare Access
healthier than 86%
5%
About typical
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 17%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 39%
8%
Disability
healthier than 24%
7%
Lifting this score
Environmental Hazard
healthier than 96%
14%
Healthcare Access
healthier than 80%
5%
About typical
Mental Health
healthier than 46%
8%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Social Need / SDOH
healthier than 17%
16%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 5%
11%
Disability
healthier than 20%
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
74002
Oklahomashares a border
Score 40.37
Closest healthier
74020
Oklahomashares a border
Score 39.63
Similar health profile
74848
Oklahoma99% similar profile
Score 33.61
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 | 29.4% | 26.3–32.7 |
| High blood pressure among adults | 45.7% | 41.5–50.1 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.5–8.0 |
| Current asthma among adults | 12.2% | 10.8–13.7 |
| Coronary heart disease among adults | 8.8% | 7.9–9.9 |
| Chronic obstructive pulmonary disease among adults | 10.5% | 9.2–11.8 |
| Depression among adults | 24.2% | 20.8–27.9 |
| Diagnosed diabetes among adults | 15.0% | 13.1–17.1 |
| High cholesterol among adults who have ever been screened | 37.7% | 33.6–42.1 |
| Obesity among adults | 50.1% | 42.8–57.7 |
| Stroke among adults | 4.7% | 4.3–5.1 |
| All teeth lost among adults aged >=65 years | 22.7% | 18.8–26.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.3% | 11.8–16.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.4% | 71.4–77.4 |
| Visits to doctor for routine checkup within the past year among adults | 76.8% | 73.2–80.6 |
| Cholesterol screening among adults | 80.9% | 78.5–83.4 |
| Colorectal cancer screening among adults aged 45–75 years | 55.5% | 49.8–60.9 |
| Visited dentist or dental clinic in the past year among adults | 44.9% | 40.9–48.7 |
| Mammography use among women aged 50-74 years | 62.4% | 52.9–70.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.2–18.1 |
| Current cigarette smoking among adults | 24.3% | 21.1–27.5 |
| No leisure-time physical activity among adults | 36.1% | 31.1–41.1 |
| Short sleep duration among adults | 40.7% | 33.9–47.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.3% | 24.0–30.8 |
| Frequent mental distress among adults | 19.8% | 17.6–22.1 |
| Frequent physical distress among adults | 17.2% | 15.2–19.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 18.6–23.6 |
| Any disability among adults | 45.1% | 40.4–49.9 |
| Hearing disability among adults | 10.8% | 9.7–12.1 |
| Independent living disability among adults | 12.1% | 10.7–13.5 |
| Mobility disability among adults | 20.5% | 18.1–23.0 |
| Self-care disability among adults | 5.9% | 5.3–6.5 |
| Vision disability among adults | 8.2% | 7.4–9.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.4% | 26.3–35.0 |
| Food insecurity in the past 12 months among adults | 26.2% | 22.6–29.9 |
| Received food stamps in the past 12 months among adults | 23.0% | 19.7–26.6 |
| Housing insecurity in the past 12 months among adults | 19.5% | 16.8–22.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.5% | 11.8–15.3 |
| Loneliness among adults | 35.4% | 30.3–41.1 |
| Utility services shut-off threat in the past 12 months among adults | 14.9% | 13.0–17.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 20.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 21.4% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 24.2% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 11.5% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 8.4% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 5.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 89.6% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 19.7% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 75.7% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.1% | 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 | 48.3% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 17.8% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 40.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $47,833 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $108,300 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $662 | $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 | 80.5 yr ± 1.41 | 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 1.41 years of 80.5, 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