ZIP code
73572
in Walters, OklahomaPopulation 3,045
37.03/ 100
Ranked #28,513 of 32,066 US ZIPs (bottom 11.1%)
Ranked #429 of 634 Oklahoma ZIPs (bottom 32%)
Ranked #15 of 17 Lawton, OK ZIPs (bottom 11.8%)
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
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 ›Nitrate in drinking water
8.9%
in the top 3.3% nationally
Lower is healthier
ST69thUS97thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Pharmacy access
0.59 per 1,000 residents
in the top 3.6% nationally
Higher is healthier
ST93rdUS96thDefinition & 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 ›Grocery access
0.29 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Dry extreme heat
86.1 days/year
in the top 4.0% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Hearing disability
11.2%
in the top 8.0% nationally
Lower is healthier
ST61stUS92ndDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Obesity
43.2%
in the top 8.3% nationally
Lower is healthier
ST81stUS92ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
Walters, Oklahoma (ZIP 73572), by its overall standing, sits in the bottom 11.1% nationally (28,513th) and the bottom 32% of Oklahoma (429th), based on limited data; treat as directional.
The measures fall on both sides of the ledger for this area: pharmacy settles in the top 3.6% nationally, grocery registers in the top 3.8% nationally, and modeled transportation noise stands in the bottom 14.2% nationally. Set against that, modeled mammography lands in the bottom 2.8% nationally, nitrate is in the top 3.3% nationally, and extreme heat resides in the top 4.0% nationally. Modeled hearing disability rests in the top 8.0% nationally, and obesity lies in the top 8.3% nationally. Modeled mobility disability sits in the top 13.2% nationally, and cognitive disability settles in the top 14.6% nationally.
Defined in plain terms, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The nearest ZIP ranking healthier overall is ZIP 73528, 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. 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
Environmental Hazard
healthier than 91%
14%
About typical
Social Need / SDOH
healthier than 44%
16%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 18%
8%
Disability
healthier than 12%
7%
Climate / Disaster RiskPartial
healthier than 1%
5%
Healthcare Access
healthier than 33%
5%
Lifting this score
Social Need / SDOH
healthier than 77%
16%
Environmental Hazard
healthier than 97%
14%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Preventive Care
healthier than 34%
13%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 32%
8%
Disability
healthier than 32%
7%
Climate / Disaster RiskPartial
in the bottom 1.0%
5%
Healthcare Access
healthier than 38%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
About typical
Social Need / SDOH
healthier than 52%
16%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 28%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 3%
7%
Climate / Disaster RiskPartial
in the bottom 0.00%
5%
Healthcare Access
healthier than 13%
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
73501
Oklahomashares a border
Score 34.27
Closest healthier
73528
Oklahomashares a border
Score 43.36
Similar health profile
74729
Oklahoma99% similar profile
Score 39.31
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 | 32.6% | 29.0–36.4 |
| High blood pressure among adults | 43.5% | 39.0–48.1 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.2–10.1 |
| Current asthma among adults | 12.2% | 10.8–13.8 |
| Coronary heart disease among adults | 9.1% | 8.1–10.2 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 9.1–12.3 |
| Depression among adults | 26.4% | 22.5–30.6 |
| Diagnosed diabetes among adults | 15.2% | 13.2–17.4 |
| High cholesterol among adults who have ever been screened | 41.3% | 36.7–46.1 |
| Obesity among adults | 43.2% | 34.4–52.1 |
| Stroke among adults | 4.7% | 4.2–5.2 |
| All teeth lost among adults aged >=65 years | 21.4% | 17.5–25.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.7% | 8.8–12.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.8% | 76.0–81.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.0% | 75.3–82.3 |
| Cholesterol screening among adults | 84.5% | 82.4–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 60.1% | 54.3–65.3 |
| Visited dentist or dental clinic in the past year among adults | 53.1% | 49.0–56.8 |
| Mammography use among women aged 50-74 years | 64.9% | 55.4–73.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 10.7–16.1 |
| Current cigarette smoking among adults | 19.8% | 16.8–23.0 |
| No leisure-time physical activity among adults | 34.7% | 29.4–40.4 |
| Short sleep duration among adults | 38.8% | 31.6–46.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.6% | 21.3–28.2 |
| Frequent mental distress among adults | 18.7% | 16.5–21.1 |
| Frequent physical distress among adults | 16.9% | 14.9–19.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 16.7–21.4 |
| Any disability among adults | 43.0% | 38.0–48.3 |
| Hearing disability among adults | 11.2% | 10.0–12.6 |
| Independent living disability among adults | 11.4% | 10.0–13.0 |
| Mobility disability among adults | 21.0% | 18.3–24.1 |
| Self-care disability among adults | 5.4% | 4.7–6.2 |
| Vision disability among adults | 7.3% | 6.4–8.2 |
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 | 20.2% | 17.1–23.8 |
| Received food stamps in the past 12 months among adults | 18.0% | 15.1–21.3 |
| Housing insecurity in the past 12 months among adults | 14.2% | 12.1–16.6 |
| Lack of reliable transportation in the past 12 months among adults | 10.5% | 9.2–12.0 |
| Loneliness among adults | 32.8% | 27.6–38.5 |
| Utility services shut-off threat in the past 12 months among adults | 11.1% | 9.5–12.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 20.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 9.8% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 10.1% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 25.2% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 8.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 89.8% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 19.7% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 81.1% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 59.2% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 18.3% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 41.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $57,065 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $123,500 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $750 | $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 | 75.5 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 75.5, 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