ZIP code
74016
in Chelsea, OklahomaPopulation 5,891
33.21/ 100
Ranked #29,994 of 32,066 US ZIPs (bottom 6.5%)
Ranked #528 of 634 Oklahoma ZIPs (bottom 17%)
Ranked #71 of 88 Tulsa, OK ZIPs (bottom 19%)
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
66%
in the bottom 4.0% nationally
Higher is healthier
ST27thUS4thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Hearing disability
11.8%
in the top 5.2% nationally
Lower is healthier
ST73rdUS95thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Cognitive disability
20.6%
in the top 7.2% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Independent-living disability
12.5%
in the top 8.8% nationally
Lower is healthier
ST84thUS91stDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Mobility disability
22.2%
in the top 9.0% nationally
Lower is healthier
ST74thUS91stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Obesity
44.2%
in the top 5.8% nationally
Lower is healthier
ST87thUS94thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Unemployment rate
10.3%
in the top 9.0% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Fine-particle (PM2.5) exceedance
0.83%
in the top 10.2% nationally
Lower is healthier
ST96thUS90thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
In its overall standing, Chelsea, Oklahoma (ZIP 74016) lands in the bottom 6.5% nationally (29,994th) and the bottom 17% of Oklahoma (528th).
Taken together, the data gives a genuinely mixed reading: modeled mammography lies in the bottom 4.0% nationally. On the other side, modeled hearing disability stands in the top 5.2% nationally, cognitive disability rests in the top 7.2% nationally, and independent living disability registers in the top 8.8% nationally. Modeled mobility disability resides in the top 9.0% nationally, and obesity settles in the top 5.8% nationally. Unemployment is in the top 9.0% nationally, and modeled fine-particle sits in the top 10.2% nationally. Modeled extreme heat lands in the top 11.5% nationally, and tooth loss lies in the top 11.2% nationally.
Put simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. On the overall standing, ZIP 74017, just across the boundary, ranks healthier.
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 Tulsa, 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 11%
21%
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 14%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 22%
5%
Healthcare Access
healthier than 24%
5%
Lifting this score
Climate / Disaster Risk
healthier than 72%
5%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 26%
5%
Lifting this score
Climate / Disaster Risk
healthier than 63%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 20%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 20%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.9 ± 1.7 years. A median household income of $60,671 predicts 78.1 years — 4.2 years below.
Ranked #5,161 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.9 ± 1.7 years. The 50 nearest ZIP codes with estimates average 77.5 years — 3.6 years below them.
Ranked #2,771 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74017
Oklahomashares a border
Score 44.31
Closest healthier
74048
Oklahomashares a border
Score 33.80
Similar health profile
72082
Arkansas99% similar profile
Score 18.15
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 | 32.0% | 29.3–34.8 |
| High blood pressure among adults | 43.5% | 40.1–46.8 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 8.0–9.5 |
| Current asthma among adults | 12.7% | 11.4–14.0 |
| Coronary heart disease among adults | 9.6% | 8.7–10.5 |
| Chronic obstructive pulmonary disease among adults | 11.4% | 10.2–12.5 |
| Depression among adults | 26.3% | 23.2–29.5 |
| Diagnosed diabetes among adults | 16.3% | 14.5–18.1 |
| High cholesterol among adults who have ever been screened | 40.6% | 37.2–44.0 |
| Obesity among adults | 44.2% | 38.8–49.7 |
| Stroke among adults | 5.0% | 4.6–5.3 |
| All teeth lost among adults aged >=65 years | 22.6% | 19.3–26.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.2% | 9.7–12.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.6% | 75.0–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 75.1–80.9 |
| Cholesterol screening among adults | 83.7% | 81.8–85.3 |
| Colorectal cancer screening among adults aged 45–75 years | 59.4% | 54.9–63.9 |
| Visited dentist or dental clinic in the past year among adults | 51.1% | 47.8–54.4 |
| Mammography use among women aged 50-74 years | 66.0% | 58.6–73.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.0% | 11.0–15.2 |
| Current cigarette smoking among adults | 22.6% | 20.1–25.3 |
| No leisure-time physical activity among adults | 36.2% | 32.0–40.3 |
| Short sleep duration among adults | 37.6% | 32.7–43.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.0% | 23.4–28.8 |
| Frequent mental distress among adults | 19.6% | 17.7–21.5 |
| Frequent physical distress among adults | 18.0% | 16.2–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.6% | 18.7–22.6 |
| Any disability among adults | 45.7% | 41.7–49.6 |
| Hearing disability among adults | 11.8% | 10.7–13.0 |
| Independent living disability among adults | 12.5% | 11.3–13.7 |
| Mobility disability among adults | 22.2% | 20.1–24.5 |
| Self-care disability among adults | 5.8% | 5.3–6.3 |
| Vision disability among adults | 8.0% | 7.4–8.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.6% | 23.3–30.2 |
| Food insecurity in the past 12 months among adults | 23.1% | 20.4–25.9 |
| Received food stamps in the past 12 months among adults | 20.8% | 18.2–23.5 |
| Housing insecurity in the past 12 months among adults | 16.2% | 14.2–18.3 |
| Lack of reliable transportation in the past 12 months among adults | 12.2% | 10.9–13.6 |
| Loneliness among adults | 33.6% | 29.5–38.0 |
| Utility services shut-off threat in the past 12 months among adults | 12.6% | 11.0–14.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 29.9% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 11.0% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 13.8% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 10.3% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 78.7% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 22.2% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 70.5% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 2.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 46.6% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 18.8% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 38.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $60,671 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $121,500 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $837 | $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 | 73.9 yr ± 0.89 | 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 0.89 years of 73.9, 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