ZIP code
73939
in Goodwell, OklahomaPopulation 1,421
53.58/ 100
Ranked #11,251 of 32,066 US ZIPs (top 35%)
Ranked #36 of 634 Oklahoma ZIPs (top 5.7%)
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.
Slow internet speeds
14.7%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Industrial-pollution burden
in the bottom 2.1% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Distance to a nursing home
20.6 mi
in the top 3.2% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›PFAS in drinking water
8.3%
in the bottom 5.5% nationally
Lower is healthier
ST3rdUS5thDefinition & 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 ›Fatal road crashes
42.2 per 100,000 residents per year
in the top 6.1% nationally
Lower is healthier
ST87thUS94thDefinition & 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 ›Nitrate in drinking water
0.98%
in the top 6.5% nationally
Lower is healthier
ST59thUS94thDefinition & 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 ›Dry extreme heat
56 days/year
in the top 7.9% nationally
Lower is healthier
ST42ndUS92ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Stroke
2.4%
in the bottom 5.4% nationally
Lower is healthier
ST1stUS5thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Diabetes
8.3%
in the bottom 5.3% nationally
Lower is healthier
ST1stUS5thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›The read
On balance, and by the composite measure, Goodwell, Oklahoma (ZIP 73939) ranks in the top 35% healthiest ZIPs nationally (11,251st) and the top 5.7% of Oklahoma (36th).
Plainly stated, a few measures mark out this area: slow internet speeds stands in the top 1.2% nationally, and distance to a nursing home settles in the top 3.2% nationally. Modeled tree cover lies at the national minimum, and fatal road crashes resides in the top 6.1% nationally. Modeled nitrate lands in the top 6.5% nationally, and extreme heat registers in the top 7.9% nationally. Better still, modeled industrial-pollution burden sits in the bottom 2.1% nationally, pfas rests in the bottom 5.5% nationally, and stroke is in the bottom 5.4% nationally. Modeled diabetes stands in the bottom 5.3% nationally.
Compared with the ZIPs it borders, slow internet speeds runs far higher than the surrounding ZIPs on this measure. In plainer terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. For a healthier nearby ZIP overall, look to ZIP 73947, 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
Chronic Disease Burden
healthier than 88%
21%
Environmental Hazard
healthier than 92%
14%
Risk Behavior
healthier than 71%
11%
Disability
healthier than 71%
7%
About typical
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Preventive Care
healthier than 10%
13%
Mental Health
healthier than 35%
8%
Healthcare Access
healthier than 17%
5%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Environmental Hazard
healthier than 98%
14%
Risk Behavior
healthier than 92%
11%
Mental Health
healthier than 75%
8%
Disability
healthier than 95%
7%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Holding it back
Preventive Care
healthier than 16%
13%
Healthcare Access
healthier than 19%
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
73942
Oklahomashares a border
Score 41.98
Closest healthier
73947
Oklahomashares a border
Score 55.87
Similar health profile
79016
Texas97% similar profile
Score 55.37
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 | 19.7% | 17.2–22.0 |
| High blood pressure among adults | 29.3% | 25.8–32.8 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.4–6.6 |
| Current asthma among adults | 10.7% | 9.3–12.1 |
| Coronary heart disease among adults | 4.9% | 4.3–5.4 |
| Chronic obstructive pulmonary disease among adults | 5.2% | 4.4–5.9 |
| Depression among adults | 24.2% | 20.6–28.1 |
| Diagnosed diabetes among adults | 8.3% | 7.1–9.5 |
| High cholesterol among adults who have ever been screened | 31.9% | 28.1–35.7 |
| Obesity among adults | 36.2% | 28.6–43.9 |
| Stroke among adults | 2.4% | 2.2–2.6 |
| All teeth lost among adults aged >=65 years | 14.7% | 12.0–17.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.7% | 9.4–15.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.1% | 67.2–72.6 |
| Visits to doctor for routine checkup within the past year among adults | 73.9% | 69.3–77.7 |
| Cholesterol screening among adults | 80.0% | 76.4–83.1 |
| Colorectal cancer screening among adults aged 45–75 years | 60.3% | 55.1–65.5 |
| Visited dentist or dental clinic in the past year among adults | 61.9% | 58.3–65.5 |
| Mammography use among women aged 50-74 years | 70.0% | 61.7–78.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 13.7–20.2 |
| Current cigarette smoking among adults | 11.4% | 9.4–13.5 |
| No leisure-time physical activity among adults | 25.7% | 21.2–30.5 |
| Short sleep duration among adults | 32.6% | 26.7–39.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.1% | 13.5–18.8 |
| Frequent mental distress among adults | 17.7% | 15.3–20.1 |
| Frequent physical distress among adults | 11.1% | 9.6–12.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.8% | 14.2–19.6 |
| Any disability among adults | 33.5% | 28.7–38.6 |
| Hearing disability among adults | 6.6% | 5.8–7.4 |
| Independent living disability among adults | 7.6% | 6.5–8.9 |
| Mobility disability among adults | 11.2% | 9.6–12.9 |
| Self-care disability among adults | 2.7% | 2.4–3.1 |
| Vision disability among adults | 4.4% | 3.9–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.0% | 21.9–30.7 |
| Food insecurity in the past 12 months among adults | 14.5% | 11.7–17.8 |
| Received food stamps in the past 12 months among adults | 9.3% | 7.5–11.4 |
| Housing insecurity in the past 12 months among adults | 11.3% | 9.4–13.5 |
| Lack of reliable transportation in the past 12 months among adults | 8.3% | 6.9–9.9 |
| Loneliness among adults | 36.7% | 30.9–42.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 6.0–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.6% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 14.5% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 5.7% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 31.2% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 5.2% | 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 | 84.6% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 13.6% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 66.7% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 6.6% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 12.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 51.5% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 11.7% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 27.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $72,813 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $163,900 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $788 | $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 | 80.4 yr ± 0.94 | 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 0.94 years of 80.4, 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