ZIP code
74061
in Ramona, OklahomaPopulation 2,245
40.49/ 100
Ranked #26,410 of 32,066 US ZIPs (bottom 18%)
Ranked #293 of 634 Oklahoma ZIPs (top 46%)
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.
Grocery access
0.47 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Mammography
66%
in the bottom 4.0% nationally
Higher is healthier
ST27thUS4thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Fatal road crashes
44.5 per 100,000 residents per year
in the top 5.4% nationally
Lower is healthier
ST88thUS95thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Slow internet speeds
1.7%
in the top 6.9% nationally
Lower is healthier
ST95thUS93rdDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Dry extreme heat
48.9 days/year
in the top 9.7% nationally
Lower is healthier
ST22ndUS90thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Floodplain exposure
30.6%
in the top 9.8% nationally
Lower is healthier
ST92ndUS90thDefinition & 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
0.82%
in the top 11.7% nationally
Lower is healthier
ST92ndUS88thDefinition & 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 ›Obesity
42.9%
in the top 9.4% nationally
Lower is healthier
ST78thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Industrial-pollution burden
in the top 12.6% nationally
Lower is healthier
ST91stUS87thDefinition & 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 ›The read
Judged by its overall standing, Ramona, Oklahoma (ZIP 74061) sits in the bottom 18% nationally (26,410th) and the top 46% of Oklahoma (293rd).
An even profile, with readings pulling both ways: grocery is in the top 1.7% nationally. Against that, modeled mammography lies in the bottom 4.0% nationally, fatal road crashes registers in the top 5.4% nationally, and slow internet speeds is in the top 6.9% nationally. Modeled extreme heat lies in the top 9.7% nationally, and floodplain exposure registers in the top 9.8% nationally. Modeled hearing disability is in the top 10.9% nationally, and fine-particle lies in the top 11.7% nationally. Modeled obesity registers in the top 9.4% nationally, and industrial-pollution burden is in the top 12.6% nationally.
Put plainly, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier nearby ZIP overall is ZIP 74006, 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.
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 30%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 9%
5%
Healthcare Access
healthier than 27%
5%
Lifting this score
Social Need / SDOH
healthier than 61%
16%
Preventive Care
healthier than 70%
13%
About typical
Chronic Disease Burden
healthier than 50%
21%
Risk Behavior
healthier than 59%
11%
Mental Health
healthier than 42%
8%
Disability
healthier than 56%
7%
Holding it back
Environmental Hazard
healthier than 39%
14%
Climate / Disaster Risk
healthier than 14%
5%
Healthcare Access
healthier than 29%
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
74002
Oklahomashares a border
Score 40.37
Closest healthier
74006
Oklahomashares a border
Score 48.75
Similar health profile
74020
Oklahoma99% similar profile
Score 39.63
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 | 33.7% | 30.3–37.1 |
| High blood pressure among adults | 41.1% | 37.1–45.1 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.6–10.5 |
| Current asthma among adults | 12.3% | 10.9–13.7 |
| Coronary heart disease among adults | 8.7% | 7.8–9.8 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.3–10.9 |
| Depression among adults | 27.0% | 23.4–30.7 |
| Diagnosed diabetes among adults | 14.1% | 12.3–16.1 |
| High cholesterol among adults who have ever been screened | 40.3% | 36.3–44.4 |
| Obesity among adults | 42.9% | 36.2–49.9 |
| Stroke among adults | 4.4% | 4.0–4.9 |
| All teeth lost among adults aged >=65 years | 13.7% | 11.0–16.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.4–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.2–81.6 |
| Visits to doctor for routine checkup within the past year among adults | 79.4% | 76.1–82.5 |
| Cholesterol screening among adults | 86.5% | 84.6–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 63.4% | 58.1–68.4 |
| Visited dentist or dental clinic in the past year among adults | 58.8% | 55.0–62.4 |
| Mammography use among women aged 50-74 years | 66.0% | 56.9–74.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.1% | 10.8–15.8 |
| Current cigarette smoking among adults | 18.1% | 15.4–20.9 |
| No leisure-time physical activity among adults | 30.9% | 26.3–35.8 |
| Short sleep duration among adults | 39.3% | 33.1–45.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.8% | 18.9–25.0 |
| Frequent mental distress among adults | 17.6% | 15.7–19.8 |
| Frequent physical distress among adults | 15.6% | 13.7–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.4% | 15.4–19.6 |
| Any disability among adults | 41.3% | 36.8–46.0 |
| Hearing disability among adults | 10.8% | 9.6–12.1 |
| Independent living disability among adults | 10.0% | 8.8–11.3 |
| Mobility disability among adults | 19.8% | 17.4–22.6 |
| Self-care disability among adults | 4.7% | 4.2–5.3 |
| Vision disability among adults | 6.3% | 5.6–7.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.6% | 21.0–28.4 |
| Food insecurity in the past 12 months among adults | 16.5% | 13.9–19.2 |
| Received food stamps in the past 12 months among adults | 13.7% | 11.4–16.2 |
| Housing insecurity in the past 12 months among adults | 12.4% | 10.5–14.3 |
| Lack of reliable transportation in the past 12 months among adults | 9.0% | 7.8–10.1 |
| Loneliness among adults | 32.4% | 27.6–37.6 |
| Utility services shut-off threat in the past 12 months among adults | 9.3% | 8.0–10.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 19.6% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 5.6% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 20.5% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 7.7% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 84.1% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 27.1% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 83.2% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 51.3% | 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 | 42.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $58,929 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $225,700 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $794 | $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 | 78.4 yr ± 1.63 | 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 1.63 years of 78.4, 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