ZIP code
73449
in Mead, OklahomaPopulation 3,088
40.37/ 100
Ranked #26,505 of 32,066 US ZIPs (bottom 17%)
Ranked #300 of 634 Oklahoma ZIPs (top 47%)
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.
Fatal road crashes
61.5 per 100,000 residents per year
in the top 2.1% nationally
Lower is healthier
ST95thUS98thDefinition & 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 ›Lithium in drinking water
9.5 µg/L
in the bottom 3.6% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Distance to a Superfund site
80.8 mi
in the top 5.1% nationally
Higher is healthier
ST97thUS95thDefinition & 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 ›Dry extreme heat
72.5 days/year
in the top 5.7% nationally
Lower is healthier
ST87thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Unemployment rate
12.3%
in the top 6.1% nationally
Lower is healthier
ST96thUS94thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Floodplain exposure
36.6%
in the top 7.3% nationally
Lower is healthier
ST95thUS93rdDefinition & 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 ›Mammography
68.2%
in the bottom 8.1% nationally
Higher is healthier
ST56thUS8thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Loud transportation noise
1.5%
in the top 11.3% nationally
Lower is healthier
ST92ndUS89thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Radon
0.8 pCi/L
in the bottom 11.4% nationally
Lower is healthier
ST3rdUS11thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
Mead, Oklahoma (ZIP 73449), by its overall standing, sits in the bottom 17% nationally (26,505th) and the top 47% of Oklahoma (300th).
The measures fall on both sides of the ledger for this area: lithium in drinking water is in the bottom 3.6% nationally, and distance to a Superfund site resides in the top 5.1% nationally. Set against that, fatal road crashes rests in the top 2.1% nationally, modeled extreme heat lies in the top 5.7% nationally, and unemployment sits in the top 6.1% nationally. Floodplain exposure settles in the top 7.3% nationally, and modeled mammography registers in the bottom 8.1% nationally. Fiber broadband stands at the national minimum, shared with about 19% of ZIPs. Modeled hearing disability lands in the top 10.1% nationally, and loud transportation noise is in the top 11.3% nationally.
Defined in plain terms, lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. 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. The nearest ZIP ranking healthier overall is ZIP 75076, about 3.4 miles away.
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 54%
14%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 26%
16%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 28%
8%
Disability
healthier than 22%
7%
Climate / Disaster Risk
healthier than 3%
5%
Healthcare Access
healthier than 36%
5%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 65%
13%
About typical
Chronic Disease Burden
healthier than 52%
21%
Social Need / SDOH
healthier than 53%
16%
Risk Behavior
healthier than 56%
11%
Mental Health
healthier than 59%
8%
Disability
healthier than 60%
7%
Healthcare Access
healthier than 41%
5%
Holding it back
Climate / Disaster Risk
healthier than 3%
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
73439
Oklahomashares a border
Score 38.19
Closest healthier
75076
Texasabout 3.4 mi away
Score 48.59
Similar health profile
73442
Oklahoma100% similar profile
Score 39.11
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 | 31.9% | 28.5–35.3 |
| High blood pressure among adults | 42.7% | 38.7–46.9 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.6–10.4 |
| Current asthma among adults | 11.9% | 10.6–13.4 |
| Coronary heart disease among adults | 8.9% | 7.9–9.9 |
| Chronic obstructive pulmonary disease among adults | 9.7% | 8.5–10.9 |
| Depression among adults | 25.8% | 22.3–29.6 |
| Diagnosed diabetes among adults | 13.9% | 12.1–15.8 |
| High cholesterol among adults who have ever been screened | 42.5% | 38.3–46.8 |
| Obesity among adults | 39.0% | 32.3–46.4 |
| Stroke among adults | 4.4% | 4.0–4.8 |
| All teeth lost among adults aged >=65 years | 15.8% | 13.0–18.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 8.1–11.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.4–81.5 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.8–83.1 |
| Cholesterol screening among adults | 85.8% | 84.0–87.5 |
| Colorectal cancer screening among adults aged 45–75 years | 60.1% | 54.9–65.1 |
| Visited dentist or dental clinic in the past year among adults | 56.8% | 53.0–60.5 |
| Mammography use among women aged 50-74 years | 68.2% | 59.7–75.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 10.8–15.8 |
| Current cigarette smoking among adults | 18.0% | 15.5–20.7 |
| No leisure-time physical activity among adults | 32.8% | 28.0–37.7 |
| Short sleep duration among adults | 38.5% | 32.4–45.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.4% | 19.6–25.4 |
| Frequent mental distress among adults | 17.5% | 15.5–19.6 |
| Frequent physical distress among adults | 15.8% | 14.0–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.3% | 15.3–19.4 |
| Any disability among adults | 39.5% | 35.1–44.2 |
| Hearing disability among adults | 10.9% | 9.8–12.2 |
| Independent living disability among adults | 9.9% | 8.8–11.1 |
| Mobility disability among adults | 19.1% | 16.7–21.5 |
| Self-care disability among adults | 4.6% | 4.1–5.1 |
| Vision disability among adults | 6.2% | 5.6–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.3% | 20.6–28.5 |
| Food insecurity in the past 12 months among adults | 16.6% | 14.1–19.4 |
| Received food stamps in the past 12 months among adults | 14.1% | 11.8–16.5 |
| Housing insecurity in the past 12 months among adults | 12.2% | 10.4–14.2 |
| Lack of reliable transportation in the past 12 months among adults | 8.9% | 7.8–10.1 |
| Loneliness among adults | 30.6% | 25.7–36.3 |
| Utility services shut-off threat in the past 12 months among adults | 9.3% | 8.0–10.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 27.4% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 10.6% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 18.1% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 12.3% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 1.2% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 84.0% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 14.3% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 76.9% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 4.6% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 68.4% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 24.4% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 51.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $52,338 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $143,700 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $870 | $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 | 77.3 yr ± 1.03 | 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 1.03 years of 77.3, 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