ZIP code
74854
in Maud, OklahomaPopulation 2,038
37.79/ 100
Ranked #28,148 of 32,066 US ZIPs (bottom 12.3%)
Ranked #407 of 634 Oklahoma ZIPs (bottom 36%)
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
65.4%
in the bottom 3.3% nationally
Higher is healthier
ST22ndUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Fatal road crashes
39.3 per 100,000 residents per year
in the top 7.2% nationally
Lower is healthier
ST84thUS93rdDefinition & 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 ›Dry extreme heat
55.2 days/year
in the top 8.0% nationally
Lower is healthier
ST41stUS92ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Maud, Oklahoma (ZIP 74854), by its overall standing, sits in the bottom 12.3% nationally (28,148th) and the bottom 36% of Oklahoma (407th).
The profile opens balanced, with readings on either hand: modeled mammography resides in the bottom 3.3% nationally. By contrast, fatal road crashes rests in the top 7.2% nationally, modeled extreme heat lies in the top 8.0% nationally, and modeled hearing disability sits in the top 11.8% nationally. Modeled obesity settles in the top 10.5% nationally, and cognitive disability registers in the top 14.6% nationally. Modeled colon screening stands in the bottom 12.8% nationally, and poverty lands in the top 16% nationally. Modeled mobility disability is in the top 16% nationally, and floodplain exposure resides in the top 17% nationally.
Defined in plain terms, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest ZIP ranking healthier overall is ZIP 74826, 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
Environmental Hazard
healthier than 61%
14%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 19%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 15%
8%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 13%
5%
Healthcare Access
healthier than 30%
5%
Lifting this score
Environmental Hazard
healthier than 74%
14%
About typical
Chronic Disease Burden
healthier than 42%
21%
Disability
healthier than 45%
7%
Holding it back
Social Need / SDOH
healthier than 36%
16%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 22%
8%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 34%
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
74826
Oklahomashares a border
Score 38.96
Closest healthier
74840
Oklahomashares a border
Score 38.28
Similar health profile
72410
Arkansas99% similar profile
Score 29.77
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 | 32.8% | 30.3–35.3 |
| High blood pressure among adults | 43.3% | 40.3–46.3 |
| Cancer (non-skin) or melanoma among adults | 8.8% | 8.1–9.4 |
| Current asthma among adults | 12.4% | 11.3–13.6 |
| Coronary heart disease among adults | 8.6% | 7.9–9.4 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 9.1–11.2 |
| Depression among adults | 26.5% | 23.8–29.4 |
| Diagnosed diabetes among adults | 14.5% | 13.0–16.0 |
| High cholesterol among adults who have ever been screened | 41.6% | 38.6–44.9 |
| Obesity among adults | 42.6% | 37.5–48.0 |
| Stroke among adults | 4.4% | 4.1–4.8 |
| All teeth lost among adults aged >=65 years | 18.2% | 15.6–21.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.4% | 8.9–11.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.5% | 75.3–79.5 |
| Visits to doctor for routine checkup within the past year among adults | 79.5% | 77.0–81.9 |
| Cholesterol screening among adults | 84.7% | 83.2–86.2 |
| Colorectal cancer screening among adults aged 45–75 years | 59.5% | 55.2–63.5 |
| Visited dentist or dental clinic in the past year among adults | 54.3% | 51.1–57.4 |
| Mammography use among women aged 50-74 years | 65.4% | 58.4–71.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.4% | 11.6–15.5 |
| Current cigarette smoking among adults | 20.1% | 17.9–22.3 |
| No leisure-time physical activity among adults | 33.8% | 30.2–37.5 |
| Short sleep duration among adults | 38.3% | 33.6–43.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.0% | 21.7–26.4 |
| Frequent mental distress among adults | 19.3% | 17.6–21.0 |
| Frequent physical distress among adults | 16.6% | 15.0–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 17.2–20.7 |
| Any disability among adults | 42.5% | 38.9–46.0 |
| Hearing disability among adults | 10.7% | 9.7–11.6 |
| Independent living disability among adults | 10.8% | 9.8–11.8 |
| Mobility disability among adults | 20.3% | 18.3–22.2 |
| Self-care disability among adults | 5.0% | 4.6–5.5 |
| Vision disability among adults | 6.8% | 6.2–7.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.9% | 23.0–29.1 |
| Food insecurity in the past 12 months among adults | 19.6% | 17.4–22.0 |
| Received food stamps in the past 12 months among adults | 16.8% | 14.6–19.1 |
| Housing insecurity in the past 12 months among adults | 14.1% | 12.5–15.8 |
| Lack of reliable transportation in the past 12 months among adults | 10.1% | 9.1–11.2 |
| Loneliness among adults | 34.4% | 30.5–38.6 |
| Utility services shut-off threat in the past 12 months among adults | 10.7% | 9.6–12.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 21.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 20.0% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 10.2% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 9.0% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 1.8% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 5.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 89.2% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 14.7% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 82.2% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.8% | 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 | 59.9% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 13.3% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 39.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $61,875 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $96,500 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $547 | $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 | 80.1 yr ± 2.01 | 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 2.01 years of 80.1, 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