ZIP code
73741
in Helena, OklahomaPopulation 1,769
38.49/ 100
Ranked #27,727 of 32,066 US ZIPs (bottom 13.6%)
Ranked #378 of 634 Oklahoma ZIPs (bottom 40%)
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
32.6%
in the top 1.5% nationally
Lower is healthier
ST82ndUS99thDefinition & 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 ›Colon-cancer screening
54.8%
in the bottom 4.8% nationally
Higher is healthier
ST6thUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Mammography
66.8%
in the bottom 5.1% nationally
Higher is healthier
ST37thUS5thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Distance to a nursing home
15.1 mi
in the top 5.4% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Dry extreme heat
72.9 days/year
in the top 5.6% nationally
Lower is healthier
ST89thUS94thDefinition & 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
73.9 mi
in the top 5.9% nationally
Higher is healthier
ST93rdUS94thDefinition & 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 ›Obesity
45.3%
in the top 4.0% 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 ›High blood pressure
46.9%
in the top 7.9% nationally
Lower is healthier
ST86thUS92ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Civic-institution access
0.59 per 1,000 residents
in the top 10.1% nationally
Higher is healthier
ST94thUS90thDefinition & source ›
The number of civic and social organizations 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 ›Arsenic in groundwater
7.4%
in the top 25% nationally
Lower is healthier
ST92ndUS75thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›The read
Helena, Oklahoma (ZIP 73741), on the composite measure, lands in the bottom 13.6% nationally (27,727th) and the bottom 40% of Oklahoma (378th), based on limited data; treat as directional.
The main burdens in the data show plainly and lead the picture: modeled nitrate rests in the top 1.5% nationally, colon screening sits in the bottom 4.8% nationally, and mammography registers in the bottom 5.1% nationally. Distance to a nursing home lands in the top 5.4% nationally, modeled extreme heat resides in the top 5.6% nationally, and modeled obesity lies in the top 4.0% nationally. Modeled high blood pressure settles in the top 7.9% nationally, and distance to an emergency room stands in the top 11.0% nationally. More positively, distance to a Superfund site is in the top 5.9% nationally, and civic rests in the top 10.1% nationally.
In everyday language, 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier neighbor overall sits at ZIP 73716, 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.
Lifting this score
Mental Health
healthier than 74%
8%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 38%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 5%
11%
Disability
healthier than 24%
7%
Climate / Disaster RiskPartial
healthier than 4%
5%
Healthcare Access
healthier than 10%
5%
Lifting this score
Mental Health
healthier than 98%
8%
Disability
healthier than 63%
7%
About typical
Chronic Disease Burden
healthier than 60%
21%
Holding it back
Social Need / SDOH
healthier than 28%
16%
Environmental Hazard
healthier than 38%
14%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 6%
11%
Climate / Disaster RiskPartial
healthier than 4%
5%
Healthcare Access
healthier than 9%
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
73716
Oklahomashares a border
Score 39.74
Closest healthier
73728
Oklahomashares a border
Score 47.68
Similar health profile
33493
Florida96% similar profile
Score 36.89
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 | 28.2% | 24.7–31.9 |
| High blood pressure among adults | 46.9% | 41.8–51.7 |
| Cancer (non-skin) or melanoma among adults | 7.3% | 6.6–8.2 |
| Current asthma among adults | 9.7% | 8.5–11.1 |
| Coronary heart disease among adults | 9.0% | 7.8–10.2 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 7.6–10.7 |
| Depression among adults | 20.1% | 16.8–23.6 |
| Diagnosed diabetes among adults | 15.9% | 13.7–18.3 |
| High cholesterol among adults who have ever been screened | 40.3% | 35.5–45.1 |
| Obesity among adults | 45.3% | 36.3–54.5 |
| Stroke among adults | 4.4% | 3.8–4.9 |
| All teeth lost among adults aged >=65 years | 18.9% | 15.6–22.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.1% | 10.2–16.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.7% | 72.0–79.1 |
| Visits to doctor for routine checkup within the past year among adults | 76.1% | 72.2–80.0 |
| Cholesterol screening among adults | 84.7% | 82.0–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 54.8% | 49.4–59.6 |
| Visited dentist or dental clinic in the past year among adults | 52.7% | 48.8–56.1 |
| Mammography use among women aged 50-74 years | 66.8% | 57.4–74.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.0–19.1 |
| Current cigarette smoking among adults | 23.7% | 19.3–28.1 |
| No leisure-time physical activity among adults | 34.5% | 28.4–40.8 |
| Short sleep duration among adults | 39.0% | 31.9–45.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.0% | 20.9–29.5 |
| Frequent mental distress among adults | 16.2% | 14.1–18.6 |
| Frequent physical distress among adults | 15.7% | 13.4–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.8% | 14.3–19.6 |
| Any disability among adults | 39.5% | 33.8–45.2 |
| Hearing disability among adults | 10.6% | 9.3–12.0 |
| Independent living disability among adults | 9.0% | 7.6–10.5 |
| Mobility disability among adults | 18.2% | 15.3–21.4 |
| Self-care disability among adults | 5.3% | 4.5–6.3 |
| Vision disability among adults | 6.5% | 5.6–7.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.1% | 24.7–34.2 |
| Food insecurity in the past 12 months among adults | 20.3% | 16.5–24.7 |
| Received food stamps in the past 12 months among adults | 16.7% | 13.2–20.6 |
| Housing insecurity in the past 12 months among adults | 15.8% | 13.1–18.9 |
| Lack of reliable transportation in the past 12 months among adults | 10.0% | 8.5–11.8 |
| Loneliness among adults | 30.4% | 25.4–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.4% | 10.5–14.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 17.0% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 25.3% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 5.8% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 0.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 90.5% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 21.9% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 87.1% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 2.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 47.2% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 47.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $62,083 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $110,800 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | — | $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 | 81.8 yr ± 2.16 | 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 2.16 years of 81.8, 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