ZIP code
73567
in Sterling, OklahomaPopulation 781
41.48/ 100
Ranked #25,674 of 32,066 US ZIPs (bottom 20%)
Ranked #256 of 634 Oklahoma ZIPs (top 40%)
Ranked #12 of 17 Lawton, OK ZIPs (bottom 29%)
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.
PFAS in drinking water
75.8%
in the top 2.9% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Natural-disaster risk
in the bottom 4.8% nationally
Lower is healthier
ST3rdUS5thDefinition & 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 ›Dry extreme heat
72.3 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 ›Distance to a nursing home
13.1 mi
in the top 6.8% nationally
Lower is healthier
ST94thUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Expected annual disaster loss
$0
in the bottom 7.5% nationally
Lower is healthier
ST4thUS7thDefinition & 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 ›Distance to an emergency room
17 mi
in the top 8.3% nationally
Lower is healthier
ST94thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Walkability
95 intersections/sq mi
in the top 11.2% nationally
Higher is healthier
ST94thUS89thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
Sterling, Oklahoma (ZIP 73567) ranks in the bottom 20% nationally (25,674th) and the top 40% of Oklahoma (256th).
Several signals sit on each side of the ledger here: modeled disaster risk lands in the bottom 4.8% nationally. Unemployment settles at the national minimum, shared with about 15% of ZIPs. Modeled expected annual loss rests in the bottom 7.5% nationally. Modeled loud transportation noise lands at the national minimum, shared with about 22% of ZIPs. Walkability settles in the top 11.2% nationally. Working the other way, modeled pfas rests in the top 2.9% nationally, modeled extreme heat lands in the top 5.7% nationally, and distance to a nursing home settles in the top 6.8% nationally. Distance to an emergency room rests in the top 8.3% nationally, and home broadband subscription lands in the bottom 13.8% nationally.
Against its neighbors, walkability runs far higher than the surrounding ZIPs on this measure. For context, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. 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. The closest ZIP that ranks healthier overall is ZIP 73541, 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.
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Social Need / SDOH
healthier than 33%
16%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 38%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 25%
7%
Climate / Disaster Risk
healthier than 22%
5%
Healthcare Access
healthier than 16%
5%
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Preventive Care
healthier than 82%
13%
Disability
healthier than 66%
7%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Risk Behavior
healthier than 43%
11%
Holding it back
Environmental Hazard
healthier than 29%
14%
Mental Health
healthier than 22%
8%
Healthcare Access
healthier than 16%
5%
Lifting this score
Preventive Care
healthier than 70%
13%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 40%
16%
Risk Behavior
healthier than 50%
11%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Environmental Hazard
in the bottom 0.00%
14%
Mental Health
healthier than 10%
8%
Disability
healthier than 30%
7%
Healthcare Access
in the bottom 0.00%
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
73541
Oklahomashares a border
Score 44.06
Closest healthier
73507
Oklahomaabout 1.0 mi away
Score 41.86
Similar health profile
71441
Louisiana98% similar profile
Score 35.12
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 | 33.0% | 29.9–36.3 |
| High blood pressure among adults | 40.3% | 36.6–44.1 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.6–10.6 |
| Current asthma among adults | 11.7% | 10.4–13.1 |
| Coronary heart disease among adults | 8.2% | 7.3–9.3 |
| Chronic obstructive pulmonary disease among adults | 9.3% | 8.0–10.7 |
| Depression among adults | 27.4% | 23.9–31.1 |
| Diagnosed diabetes among adults | 13.3% | 11.5–15.2 |
| High cholesterol among adults who have ever been screened | 39.5% | 35.8–43.6 |
| Obesity among adults | 41.4% | 35.5–47.5 |
| Stroke among adults | 4.2% | 3.7–4.7 |
| All teeth lost among adults aged >=65 years | 17.6% | 14.3–21.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.1% | 7.2–11.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 75.5–80.8 |
| Visits to doctor for routine checkup within the past year among adults | 79.7% | 76.6–82.8 |
| Cholesterol screening among adults | 85.6% | 83.4–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.9% | 57.9–67.5 |
| Visited dentist or dental clinic in the past year among adults | 58.8% | 55.1–62.3 |
| Mammography use among women aged 50-74 years | 72.9% | 65.4–79.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.4–16.4 |
| Current cigarette smoking among adults | 18.1% | 15.2–21.2 |
| No leisure-time physical activity among adults | 32.4% | 27.8–37.2 |
| Short sleep duration among adults | 39.9% | 34.6–45.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.2% | 18.3–24.4 |
| Frequent mental distress among adults | 18.7% | 16.5–21.0 |
| Frequent physical distress among adults | 15.6% | 13.6–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 15.5–20.2 |
| Any disability among adults | 41.1% | 36.6–45.9 |
| Hearing disability among adults | 10.5% | 9.4–11.8 |
| Independent living disability among adults | 9.8% | 8.6–11.2 |
| Mobility disability among adults | 19.0% | 16.4–21.5 |
| Self-care disability among adults | 4.3% | 3.8–4.9 |
| Vision disability among adults | 5.9% | 5.2–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.4% | 19.8–27.3 |
| Food insecurity in the past 12 months among adults | 15.8% | 12.9–19.1 |
| Received food stamps in the past 12 months among adults | 13.2% | 10.6–16.1 |
| Housing insecurity in the past 12 months among adults | 11.8% | 9.7–14.1 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 7.1–9.7 |
| Loneliness among adults | 31.4% | 26.7–36.4 |
| Utility services shut-off threat in the past 12 months among adults | 8.8% | 7.4–10.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.4% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 16.4% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 7.4% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 11.2% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 0.6% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 78.2% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 17.4% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 75.3% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 0.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 53.4% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 17.2% | 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 | $66,250 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $127,000 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $604 | $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 | 80.7 yr ± 1.50 | 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 1.50 years of 80.7, 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