ZIP code
73557
in Medicine Park, OklahomaPopulation 261
55.28/ 100
Ranked #9,109 of 32,066 US ZIPs (top 28%)
Ranked #20 of 634 Oklahoma ZIPs (top 3.2%)
Ranked #1 of 17 Lawton, OK ZIPs (top 5.9%)
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.
Natural-disaster risk
in the bottom 3.1% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Loneliness
27.2%
in the bottom 3.8% nationally
Lower is healthier
ST1stUS4thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Expected annual disaster loss
$0
in the bottom 4.6% nationally
Lower is healthier
ST2ndUS5thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Dry extreme heat
73.2 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 ›Homeownership rate
95.5%
in the top 7.9% nationally
Higher is healthier
ST97thUS92ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Binge drinking
12.0%
in the bottom 6.8% nationally
Lower is healthier
ST13thUS7thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›High cholesterol
44.4%
in the top 5.8% nationally
Lower is healthier
ST92ndUS94thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Fiber broadband
96.4%
in the top 8.9% nationally
Higher is healthier
ST94thUS91stDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST1stUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Median household income
$118,056
in the top 10.3% nationally
Higher is healthier
ST99thUS90thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Medicine Park, Oklahoma (ZIP 73557), on the composite measure, lands in the top 28% healthiest ZIPs nationally (9,109th) and the top 3.2% of Oklahoma (20th).
What works most in this area's favor shows up clearly across the measures: modeled disaster risk lands in the bottom 3.1% nationally, loneliness resides in the bottom 3.8% nationally, and expected annual loss lies in the bottom 4.6% nationally. Households without a vehicle settles at the national minimum, shared with about 16% of ZIPs. Homeownership stands in the top 7.9% nationally, and modeled binge drinking is in the bottom 6.8% nationally. Fiber broadband rests in the top 8.9% nationally, and modeled transportation sits in the bottom 9.9% nationally. Working the other way, modeled extreme heat registers in the top 5.6% nationally, and high cholesterol lands in the top 5.8% nationally.
In everyday language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. No nearby ZIP ranks healthier overall than this one.
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 Lawton, OK metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 85%
14%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 77%
8%
About typical
Disability
healthier than 55%
7%
Healthcare Access
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Climate / Disaster Risk
healthier than 15%
5%
Lifting this score
Social Need / SDOH
healthier than 99%
16%
Environmental Hazard
healthier than 95%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 89%
7%
About typical
Chronic Disease Burden
healthier than 59%
21%
Healthcare Access
healthier than 60%
5%
Holding it back
Climate / Disaster Risk
healthier than 37%
5%
Lifting this score
Social Need / SDOH
in the top 0.00%
16%
Environmental Hazard
in the top 0.00%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 70%
5%
About typical
Healthcare Access
healthier than 40%
5%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
“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
73503
Oklahomashares a border
Score 51.80
Similar health profile
23432
Virginia98% similar profile
Score 54.68
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 | 36.5% | 32.7–40.4 |
| High blood pressure among adults | 43.8% | 39.5–48.1 |
| Cancer (non-skin) or melanoma among adults | 12.2% | 11.0–13.5 |
| Current asthma among adults | 10.6% | 9.3–12.0 |
| Coronary heart disease among adults | 8.2% | 7.0–9.6 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.2–9.5 |
| Depression among adults | 22.9% | 19.7–26.5 |
| Diagnosed diabetes among adults | 13.6% | 11.5–15.9 |
| High cholesterol among adults who have ever been screened | 44.4% | 40.3–48.7 |
| Obesity among adults | 38.3% | 32.6–44.3 |
| Stroke among adults | 3.9% | 3.4–4.5 |
| All teeth lost among adults aged >=65 years | 9.7% | 7.8–11.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 4.9–8.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.3% | 79.4–84.9 |
| Visits to doctor for routine checkup within the past year among adults | 83.9% | 81.2–86.3 |
| Cholesterol screening among adults | 92.1% | 90.8–93.4 |
| Colorectal cancer screening among adults aged 45–75 years | 70.2% | 65.8–74.3 |
| Visited dentist or dental clinic in the past year among adults | 70.7% | 67.6–73.8 |
| Mammography use among women aged 50-74 years | 76.0% | 68.9–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.0% | 9.9–14.5 |
| Current cigarette smoking among adults | 13.4% | 10.4–16.6 |
| No leisure-time physical activity among adults | 27.4% | 22.5–32.6 |
| Short sleep duration among adults | 35.7% | 30.8–40.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 14.1–21.0 |
| Frequent mental distress among adults | 13.8% | 11.9–15.8 |
| Frequent physical distress among adults | 13.8% | 11.7–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.3–14.5 |
| Any disability among adults | 35.6% | 30.6–40.9 |
| Hearing disability among adults | 10.1% | 8.7–11.6 |
| Independent living disability among adults | 7.0% | 5.9–8.3 |
| Mobility disability among adults | 17.2% | 14.2–20.5 |
| Self-care disability among adults | 3.5% | 2.9–4.2 |
| Vision disability among adults | 4.4% | 3.7–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.8% | 17.4–24.8 |
| Food insecurity in the past 12 months among adults | 9.7% | 7.4–12.4 |
| Received food stamps in the past 12 months among adults | 6.9% | 5.1–9.1 |
| Housing insecurity in the past 12 months among adults | 7.8% | 6.2–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.3–6.2 |
| Loneliness among adults | 27.2% | 22.8–32.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.5–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 13.8% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 6.1% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 51.1% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 91.8% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 11.2% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 95.5% | 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 | 2.3% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 70.0% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 21.1% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 50.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $118,056 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $326,500 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $1,375 | $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 | 81.0 yr ± 2.31 | 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 2.31 years of 81.0, 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