ZIP code
74880
in Weleetka, OklahomaPopulation 1,840
27.70/ 100
Ranked #31,146 of 32,066 US ZIPs (bottom 2.9%)
Ranked #613 of 634 Oklahoma ZIPs (bottom 3.4%)
Ranked #82 of 88 Tulsa, OK ZIPs (bottom 6.9%)
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.
Hearing disability
13.8%
in the top 1.1% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Pharmacy access
1.1 per 1,000 residents
in the top 0.8% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of pharmacies 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
63.9%
in the bottom 2.1% nationally
Higher is healthier
ST9thUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Mobility disability
26.5%
in the top 1.9% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Fatal road crashes
70.7 per 100,000 residents per year
in the top 1.3% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Tooth loss
29.3%
in the top 3.6% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Stroke
6.2%
in the top 3.2% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Coronary heart disease
11.6%
in the top 2.6% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Diabetes
19.7%
in the top 4.2% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Vision disability
9.7%
in the top 5.5% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›The read
On the composite measure, Weleetka, Oklahoma (ZIP 74880) stands in the bottom 2.9% nationally (31,146th) and the bottom 3.4% of Oklahoma (613th), based on limited data; treat as directional.
Several readings make the pressure on this area plain: modeled hearing disability sits in the top 1.1% nationally, and mammography resides in the bottom 2.1% nationally. Modeled mobility disability stands in the top 1.9% nationally, and fatal road crashes sits in the top 1.3% nationally. Modeled tooth loss resides in the top 3.6% nationally, stroke stands in the top 3.2% nationally, and coronary heart disease sits in the top 2.6% nationally. Modeled diabetes resides in the top 4.2% nationally, and vision disability stands in the top 5.5% nationally. On the encouraging side, pharmacy sits in the top 0.8% nationally.
ZIP 74437, just across the boundary, ranks better overall among the ZIPs nearby. Modeled mobility disability sits in the top 1.9% 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 Tulsa, 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 41%
14%
Healthcare Access
healthier than 60%
5%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 19%
8%
Disability
healthier than 2%
7%
Climate / Disaster RiskPartial
healthier than 8%
5%
Lifting this score
Healthcare Access
healthier than 67%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 4%
7%
Climate / Disaster RiskPartial
healthier than 10%
5%
Lifting this score
Environmental Hazard
healthier than 71%
14%
About typical
Mental Health
healthier than 43%
8%
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 12%
11%
Disability
healthier than 6%
7%
Climate / Disaster RiskPartial
healthier than 8%
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
74437
Oklahomashares a border
Score 29.41
Closest healthier
74845
Oklahomashares a border
Score 29.46
Similar health profile
74470
Oklahoma100% similar profile
Score 30.74
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 | 35.9% | 32.3–39.8 |
| High blood pressure among adults | 49.5% | 45.1–53.9 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.3 |
| Current asthma among adults | 13.1% | 11.6–14.6 |
| Coronary heart disease among adults | 11.6% | 10.5–12.8 |
| Chronic obstructive pulmonary disease among adults | 13.1% | 11.7–14.6 |
| Depression among adults | 25.3% | 21.6–29.3 |
| Diagnosed diabetes among adults | 19.7% | 17.4–22.2 |
| High cholesterol among adults who have ever been screened | 43.6% | 38.9–48.4 |
| Obesity among adults | 46.1% | 38.0–54.8 |
| Stroke among adults | 6.2% | 5.7–6.7 |
| All teeth lost among adults aged >=65 years | 29.3% | 25.0–34.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.0% | 10.1–14.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.7% | 78.1–83.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.1% | 76.6–83.3 |
| Cholesterol screening among adults | 84.9% | 83.0–86.8 |
| Colorectal cancer screening among adults aged 45–75 years | 57.6% | 52.1–63.0 |
| Visited dentist or dental clinic in the past year among adults | 47.4% | 43.6–51.4 |
| Mammography use among women aged 50-74 years | 63.9% | 54.9–72.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.8% | 9.5–14.4 |
| Current cigarette smoking among adults | 24.8% | 21.9–27.9 |
| No leisure-time physical activity among adults | 39.6% | 34.4–45.1 |
| Short sleep duration among adults | 39.0% | 32.2–46.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.1% | 26.9–33.7 |
| Frequent mental distress among adults | 19.3% | 17.2–21.6 |
| Frequent physical distress among adults | 19.6% | 17.5–22.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.5% | 18.4–22.8 |
| Any disability among adults | 48.3% | 43.6–53.3 |
| Hearing disability among adults | 13.8% | 12.5–15.3 |
| Independent living disability among adults | 13.5% | 12.2–15.0 |
| Mobility disability among adults | 26.5% | 23.7–29.5 |
| Self-care disability among adults | 7.0% | 6.4–7.7 |
| Vision disability among adults | 9.7% | 8.8–10.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.7% | 23.9–31.9 |
| Food insecurity in the past 12 months among adults | 26.6% | 23.2–30.1 |
| Received food stamps in the past 12 months among adults | 24.2% | 21.0–27.5 |
| Housing insecurity in the past 12 months among adults | 18.0% | 15.7–20.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.5% | 12.0–15.2 |
| Loneliness among adults | 33.6% | 28.5–38.9 |
| Utility services shut-off threat in the past 12 months among adults | 14.4% | 12.6–16.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 22.3% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 15.1% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 11.1% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 1.4% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 8.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 82.2% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 19.4% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 74.7% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 6.1% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 3.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 54.3% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 18.0% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 43.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $50,809 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $85,300 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $639 | $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 | 75.1 yr ± 1.08 | 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 1.08 years of 75.1, 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