ZIP code
73050
in Langston, OklahomaPopulation 1,228
48.70/ 100
Ranked #18,070 of 32,066 US ZIPs (bottom 44%)
Ranked #84 of 634 Oklahoma ZIPs (top 13.3%)
Ranked #42 of 105 Oklahoma City, OK ZIPs (top 40%)
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.
High cholesterol
17.7%
in the bottom 0.9% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Loneliness
48.5%
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Coronary heart disease
1.8%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Hearing disability
2.7%
in the bottom 0.6% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Diabetes
4.7%
in the bottom 1.1% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Cognitive disability
23.6%
in the top 1.9% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Stroke
1.4%
in the bottom 1.2% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Slow internet speeds
11.2%
in the top 1.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›High blood pressure
23.2%
in the bottom 2.0% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›The read
On balance, and by the composite measure, Langston, Oklahoma (ZIP 73050) ranks in the bottom 44% nationally (18,070th) and the top 13.3% of Oklahoma (84th).
Where this area bears down hardest, the measures speak first: modeled loneliness is in the top 0.3% nationally, and cognitive disability stands in the top 1.9% nationally. Slow internet speeds settles in the top 1.3% nationally. On the encouraging side, modeled high cholesterol lies in the bottom 0.9% nationally, coronary heart disease resides in the bottom 1.0% nationally, and diabetes lands in the bottom 1.1% nationally. Modeled stroke registers in the bottom 1.2% nationally, modeled high blood pressure sits in the bottom 2.0% nationally, and fatal road crashes rests at the national minimum. Modeled transportation noise is at the national minimum.
Compared with the ZIPs it borders, slow internet speeds runs far higher than the surrounding ZIPs on this measure. In plainer terms, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. For a healthier nearby ZIP overall, look to ZIP 73027, 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 Oklahoma City, OK metro area.
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 97%
21%
Environmental Hazard
healthier than 60%
14%
Risk Behavior
healthier than 61%
11%
About typical
Disability
healthier than 59%
7%
Healthcare Access
healthier than 43%
5%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 7%
13%
Mental Health
healthier than 4%
8%
Climate / Disaster Risk
healthier than 24%
5%
Lifting this score
Chronic Disease Burden
healthier than 99%
21%
Environmental Hazard
healthier than 73%
14%
Risk Behavior
healthier than 87%
11%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 80%
5%
About typical
Healthcare Access
healthier than 48%
5%
Holding it back
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 7%
13%
Mental Health
in the bottom 0.7%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Environmental Hazard
healthier than 80%
14%
Risk Behavior
healthier than 71%
11%
Disability
healthier than 74%
7%
Climate / Disaster Risk
healthier than 84%
5%
Holding it back
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 9%
13%
Mental Health
in the bottom 1.0%
8%
Healthcare Access
healthier than 26%
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
73027
Oklahomashares a border
Score 50.45
Closest healthier
73007
Oklahomaabout 13 mi away
Score 59.95
Similar health profile
77446
Texas99% similar profile
Score 47.62
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 | 9.1% | 7.8–10.6 |
| High blood pressure among adults | 23.2% | 19.6–27.2 |
| Cancer (non-skin) or melanoma among adults | 1.4% | 1.2–1.5 |
| Current asthma among adults | 14.5% | 12.3–17.0 |
| Coronary heart disease among adults | 1.8% | 1.6–2.1 |
| Chronic obstructive pulmonary disease among adults | 2.8% | 2.2–3.7 |
| Depression among adults | 24.8% | 20.7–29.6 |
| Diagnosed diabetes among adults | 4.7% | 4.0–5.5 |
| High cholesterol among adults who have ever been screened | 17.7% | 15.0–20.6 |
| Obesity among adults | 37.6% | 30.3–45.4 |
| Stroke among adults | 1.4% | 1.2–1.6 |
| All teeth lost among adults aged >=65 years | 21.4% | 17.7–25.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 5.6–15.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 44.4% | 41.3–48.0 |
| Visits to doctor for routine checkup within the past year among adults | 77.0% | 72.5–81.2 |
| Cholesterol screening among adults | 72.5% | 64.8–78.8 |
| Colorectal cancer screening among adults aged 45–75 years | 62.2% | 57.0–67.1 |
| Visited dentist or dental clinic in the past year among adults | 55.5% | 51.5–59.4 |
| Mammography use among women aged 50-74 years | 72.6% | 64.7–79.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.1–16.8 |
| Current cigarette smoking among adults | 9.1% | 6.0–12.7 |
| No leisure-time physical activity among adults | 26.4% | 18.4–35.6 |
| Short sleep duration among adults | 42.9% | 36.4–49.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 12.0–24.9 |
| Frequent mental distress among adults | 25.3% | 19.4–30.1 |
| Frequent physical distress among adults | 9.0% | 6.8–11.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 23.6% | 16.4–31.5 |
| Any disability among adults | 37.0% | 27.9–46.8 |
| Hearing disability among adults | 2.7% | 2.3–3.2 |
| Independent living disability among adults | 11.7% | 7.8–16.9 |
| Mobility disability among adults | 7.5% | 5.7–9.9 |
| Self-care disability among adults | 2.5% | 1.9–3.3 |
| Vision disability among adults | 5.7% | 4.0–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.1% | 26.8–42.0 |
| Food insecurity in the past 12 months among adults | 30.3% | 18.3–43.7 |
| Received food stamps in the past 12 months among adults | 23.0% | 12.8–35.4 |
| Housing insecurity in the past 12 months among adults | 22.0% | 14.2–30.5 |
| Lack of reliable transportation in the past 12 months among adults | 18.8% | 12.7–26.1 |
| Loneliness among adults | 48.5% | 41.1–56.6 |
| Utility services shut-off threat in the past 12 months among adults | 15.3% | 10.4–19.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.2% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 30.6% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 12.2% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 16.2% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 13.7% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 16.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 74.5% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 14.9% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 29.8% | 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 | 2.9% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 3.4% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 20.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $32,500 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $465 | $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 | 81.2 yr ± 2.66 | 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 2.66 years of 81.2, 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