ZIP code
74959
in Fort Coffee, OklahomaPopulation 6,375
31.95/ 100
Ranked #30,323 of 32,066 US ZIPs (bottom 5.5%)
Ranked #554 of 634 Oklahoma ZIPs (bottom 12.7%)
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.
Mammography
66.3%
in the bottom 4.4% nationally
Higher is healthier
ST31stUS4thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Floodplain exposure
50.9%
in the top 3.8% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Mobility disability
23.8%
in the top 5.3% nationally
Lower is healthier
ST85thUS95thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Hearing disability
11.9%
in the top 4.8% nationally
Lower is healthier
ST74thUS95thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Cognitive disability
20.2%
in the top 8.5% nationally
Lower is healthier
ST83rdUS92ndDefinition & 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 ›Coronary heart disease
10.2%
in the top 8.3% nationally
Lower is healthier
ST83rdUS92ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Lead in tap water
0.00029 ppb
in the bottom 9.6% nationally
Lower is healthier
US10thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Binge drinking
12.4%
in the bottom 9.2% nationally
Lower is healthier
ST23rdUS9thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›The read
In its overall standing, Fort Coffee, Oklahoma (ZIP 74959) lands in the bottom 5.5% nationally (30,323rd) and the bottom 12.7% of Oklahoma (554th).
Reading the numbers as a whole, the picture lands somewhere in between: lead in tap water registers in the bottom 9.6% nationally, and modeled binge drinking resides in the bottom 9.2% nationally. On the other side, modeled mammography settles in the bottom 4.4% nationally, floodplain exposure is in the top 3.8% nationally, and modeled mobility disability sits in the top 5.3% nationally. Modeled hearing disability lands in the top 4.8% nationally, and cognitive disability lies in the top 8.5% nationally. Modeled independent living disability stands in the top 8.8% nationally, and coronary heart disease rests in the top 8.3% nationally. Modeled stroke registers in the top 10.1% nationally.
Put simply, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". On the overall standing, ZIP 74902, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 41%
14%
Healthcare Access
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 6%
7%
Climate / Disaster Risk
healthier than 2%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 45%
14%
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 23%
16%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 15%
7%
Climate / Disaster Risk
healthier than 2%
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
One of our published findings lists 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 ± 1.9 years. A median household income of $56,089 predicts 77.8 years — 3.9 years below.
Ranked #4,969 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
74901
Oklahomashares a border
Score 21.92
Closest healthier
74902
Oklahomashares a border
Score 34.94
Similar health profile
72429
Arkansas100% similar profile
Score 35.38
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 | 34.4% | 30.9–38.0 |
| High blood pressure among adults | 45.7% | 41.4–50.0 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.2 |
| Current asthma among adults | 12.8% | 11.3–14.3 |
| Coronary heart disease among adults | 10.2% | 9.2–11.3 |
| Chronic obstructive pulmonary disease among adults | 12.0% | 10.7–13.5 |
| Depression among adults | 25.7% | 22.0–29.7 |
| Diagnosed diabetes among adults | 16.8% | 14.8–19.0 |
| High cholesterol among adults who have ever been screened | 42.9% | 38.4–47.5 |
| Obesity among adults | 40.5% | 33.2–48.2 |
| Stroke among adults | 5.3% | 4.9–5.8 |
| All teeth lost among adults aged >=65 years | 22.8% | 19.2–26.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.9% | 10.0–13.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.1% | 77.5–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.4–83.2 |
| Cholesterol screening among adults | 84.2% | 82.2–86.1 |
| Colorectal cancer screening among adults aged 45–75 years | 59.5% | 54.5–64.4 |
| Visited dentist or dental clinic in the past year among adults | 51.0% | 47.5–54.7 |
| Mammography use among women aged 50-74 years | 66.3% | 57.9–74.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.4% | 10.0–15.1 |
| Current cigarette smoking among adults | 22.6% | 19.8–25.7 |
| No leisure-time physical activity among adults | 39.3% | 34.3–44.4 |
| Short sleep duration among adults | 37.6% | 31.7–43.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.7% | 24.6–31.1 |
| Frequent mental distress among adults | 19.6% | 17.5–21.8 |
| Frequent physical distress among adults | 18.3% | 16.4–20.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.2% | 18.1–22.4 |
| Any disability among adults | 45.8% | 41.2–50.4 |
| Hearing disability among adults | 11.9% | 10.7–13.2 |
| Independent living disability among adults | 12.5% | 11.2–13.8 |
| Mobility disability among adults | 23.8% | 21.2–26.7 |
| Self-care disability among adults | 6.2% | 5.6–6.8 |
| Vision disability among adults | 8.2% | 7.5–9.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.4% | 23.5–32.1 |
| Food insecurity in the past 12 months among adults | 23.1% | 20.1–26.6 |
| Received food stamps in the past 12 months among adults | 21.1% | 18.3–24.4 |
| Housing insecurity in the past 12 months among adults | 15.7% | 13.5–18.2 |
| Lack of reliable transportation in the past 12 months among adults | 11.7% | 10.3–13.3 |
| Loneliness among adults | 34.3% | 29.0–40.4 |
| Utility services shut-off threat in the past 12 months among adults | 12.3% | 10.7–14.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.0% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 23.8% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 17.4% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 12.0% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 4.2% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 6.1% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 83.8% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 23.6% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 72.6% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.1% | 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 | 47.6% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 16.9% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 38.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $56,089 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $108,700 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $816 | $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 ± 0.98 | 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 0.98 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