ZIP code
74471
in Welling, OklahomaPopulation 1,475
38.85/ 100
Ranked #27,507 of 32,066 US ZIPs (bottom 14.3%)
Ranked #368 of 634 Oklahoma ZIPs (bottom 42%)
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.
Mental-health provider access
0.68 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health 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 ›Mammography
64.9%
in the bottom 2.8% nationally
Higher is healthier
ST16thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Home broadband subscription
62.6%
in the bottom 3.4% nationally
Higher is healthier
ST5thUS3rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Outpatient-care access
0.68 per 1,000 residents
in the top 4.1% nationally
Higher is healthier
ST95thUS96thDefinition & 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 ›Fiber broadband
99.1%
in the top 4.6% nationally
Higher is healthier
ST98thUS95thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Hearing disability
11.6%
in the top 6.0% nationally
Lower is healthier
ST68thUS94thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Fatal road crashes
40.7 per 100,000 residents per year
in the top 6.6% nationally
Lower is healthier
ST86thUS93rdDefinition & 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 ›Obesity
44.1%
in the top 6.1% nationally
Lower is healthier
ST86thUS94thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Arsenic in groundwater
1.4%
in the bottom 10.9% nationally
Lower is healthier
ST6thUS11thDefinition & 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 ›Short sleep
41.2%
in the top 12.0% nationally
Lower is healthier
ST91stUS88thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
Welling, Oklahoma (ZIP 74471), on the composite measure, lands in the bottom 14.3% nationally (27,507th) and the bottom 42% of Oklahoma (368th).
Where this area is stretched, the data is unambiguous: modeled mammography sits in the bottom 2.8% nationally, home broadband subscription registers in the bottom 3.4% nationally, and modeled hearing disability lands in the top 6.0% nationally. Fatal road crashes resides in the top 6.6% nationally, and modeled obesity lies in the top 6.1% nationally. Better still, mental-health providers settles in the top 0.5% nationally, and outpatient stands in the top 4.1% nationally. Fiber broadband is in the top 4.6% nationally, and modeled arsenic rests in the bottom 10.9% nationally. Modeled loud transportation noise sits at the national minimum, shared with about 22% of ZIPs.
Set against the neighboring ZIPs, mental-health providers runs far higher than the surrounding ZIPs on this measure. In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. A healthier neighbor overall sits at ZIP 74464, 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.
About typical
Environmental Hazard
healthier than 58%
14%
Healthcare Access
healthier than 60%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 29%
8%
Disability
healthier than 13%
7%
Climate / Disaster Risk
healthier than 25%
5%
Lifting this score
Environmental Hazard
healthier than 69%
14%
Mental Health
healthier than 63%
8%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 48%
16%
Preventive Care
healthier than 48%
13%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Risk Behavior
healthier than 29%
11%
Disability
healthier than 35%
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
74451
Oklahomashares a border
Score 36.50
Closest healthier
74464
Oklahomashares a border
Score 39.22
Similar health profile
74370
Oklahoma99% similar profile
Score 36.78
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 | 32.7% | 29.5–36.3 |
| High blood pressure among adults | 45.0% | 41.1–49.4 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.8 |
| Current asthma among adults | 12.7% | 11.4–14.3 |
| Coronary heart disease among adults | 9.3% | 8.4–10.3 |
| Chronic obstructive pulmonary disease among adults | 10.0% | 8.9–11.1 |
| Depression among adults | 24.3% | 21.0–28.1 |
| Diagnosed diabetes among adults | 16.3% | 14.4–18.6 |
| High cholesterol among adults who have ever been screened | 40.2% | 36.2–44.7 |
| Obesity among adults | 44.1% | 37.3–52.0 |
| Stroke among adults | 4.9% | 4.5–5.3 |
| All teeth lost among adults aged >=65 years | 19.3% | 16.0–22.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.5% | 8.1–11.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 77.1–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.1% | 77.0–83.2 |
| Cholesterol screening among adults | 85.6% | 83.9–87.3 |
| Colorectal cancer screening among adults aged 45–75 years | 59.3% | 53.8–64.4 |
| Visited dentist or dental clinic in the past year among adults | 54.3% | 50.4–58.0 |
| Mammography use among women aged 50-74 years | 64.9% | 55.6–73.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.0–16.1 |
| Current cigarette smoking among adults | 20.2% | 17.7–23.2 |
| No leisure-time physical activity among adults | 32.0% | 27.6–36.9 |
| Short sleep duration among adults | 41.2% | 34.5–48.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.0% | 22.2–28.2 |
| Frequent mental distress among adults | 18.4% | 16.5–20.6 |
| Frequent physical distress among adults | 17.2% | 15.3–19.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.4% | 16.5–20.6 |
| Any disability among adults | 42.8% | 38.4–47.6 |
| Hearing disability among adults | 11.6% | 10.4–12.9 |
| Independent living disability among adults | 10.9% | 9.8–12.1 |
| Mobility disability among adults | 20.8% | 18.5–23.4 |
| Self-care disability among adults | 5.3% | 4.8–5.8 |
| Vision disability among adults | 7.5% | 6.9–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.1% | 22.4–30.1 |
| Food insecurity in the past 12 months among adults | 20.6% | 17.8–23.7 |
| Received food stamps in the past 12 months among adults | 17.0% | 14.5–19.7 |
| Housing insecurity in the past 12 months among adults | 14.9% | 12.8–17.2 |
| Lack of reliable transportation in the past 12 months among adults | 11.3% | 9.9–12.8 |
| Loneliness among adults | 32.6% | 27.6–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 11.6% | 10.1–13.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 30.8% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 9.9% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 16.2% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 0.9% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 62.6% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 25.7% | 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) | 2.6% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.9% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 51.4% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 13.6% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 41.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $45,948 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $156,700 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $675 | $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 | 74.4 yr ± 1.19 | 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 1.19 years of 74.4, 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