ZIP code
74343
in Fairland, OklahomaPopulation 3,183
33.97/ 100
Ranked #29,748 of 32,066 US ZIPs (bottom 7.3%)
Ranked #507 of 634 Oklahoma ZIPs (bottom 20%)
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
65%
in the bottom 2.9% nationally
Higher is healthier
ST18thUS3rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Hearing disability
12.2%
in the top 3.8% nationally
Lower is healthier
ST80thUS96thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
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 ›Arsenic in groundwater
1.3%
in the bottom 8.8% nationally
Lower is healthier
ST5thUS9thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›Tooth loss
23.4%
in the top 9.7% nationally
Lower is healthier
ST82ndUS90thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Fine-particle (PM2.5) exceedance
0.94%
in the top 9.8% nationally
Lower is healthier
ST98thUS90thDefinition & 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 ›Fatal road crashes
34.6 per 100,000 residents per year
in the top 9.9% nationally
Lower is healthier
ST79thUS90thDefinition & 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 ›Coronary heart disease
10.1%
in the top 9.0% nationally
Lower is healthier
ST81stUS91stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›PFAS in drinking water
11.0%
in the bottom 11.3% nationally
Lower is healthier
ST7thUS11thDefinition & 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 ›Transportation noise
7.6%
in the top 13.0% nationally
Lower is healthier
ST93rdUS87thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›The read
Fairland, Oklahoma (ZIP 74343), on the composite measure, lands in the bottom 7.3% nationally (29,748th) and the bottom 20% of Oklahoma (507th).
Where the data leans one way, another reading answers it: modeled arsenic rests in the bottom 8.8% nationally, and pfas sits in the bottom 11.3% nationally. On the other hand, modeled mammography registers in the bottom 2.9% nationally, hearing disability lands in the top 3.8% nationally, and mobility disability resides in the top 9.0% nationally. Modeled tooth loss lies in the top 9.7% nationally, and fine-particle settles in the top 9.8% nationally. Fatal road crashes stands in the top 9.9% nationally, and modeled coronary heart disease is in the top 9.0% nationally. Modeled cognitive disability rests in the top 12.6% nationally.
In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. 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. A healthier neighbor overall sits at ZIP 74331, 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
Healthcare Access
healthier than 68%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 17%
8%
Disability
healthier than 8%
7%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Healthcare Access
healthier than 73%
5%
About typical
Climate / Disaster Risk
healthier than 47%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 20%
16%
Environmental Hazard
healthier than 22%
14%
Preventive Care
healthier than 39%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 29%
8%
Disability
healthier than 22%
7%
“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
74331
Oklahomashares a border
Score 40.18
Closest healthier
74344
Oklahomashares a border
Score 41.60
Similar health profile
74859
Oklahoma99% similar profile
Score 26.12
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 | 34.0% | 30.5–37.7 |
| High blood pressure among adults | 44.1% | 39.9–48.4 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.7–10.6 |
| Current asthma among adults | 12.5% | 11.1–13.9 |
| Coronary heart disease among adults | 10.1% | 9.1–11.2 |
| Chronic obstructive pulmonary disease among adults | 11.7% | 10.4–13.2 |
| Depression among adults | 26.4% | 22.8–30.2 |
| Diagnosed diabetes among adults | 16.2% | 14.2–18.4 |
| High cholesterol among adults who have ever been screened | 42.1% | 37.8–46.6 |
| Obesity among adults | 41.9% | 34.6–49.8 |
| Stroke among adults | 5.2% | 4.8–5.7 |
| All teeth lost among adults aged >=65 years | 23.4% | 19.6–27.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.2% | 8.6–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 77.3–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.4% | 76.2–82.5 |
| Cholesterol screening among adults | 84.9% | 83.1–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 60.2% | 54.9–65.5 |
| Visited dentist or dental clinic in the past year among adults | 51.2% | 47.5–55.2 |
| Mammography use among women aged 50-74 years | 65.0% | 56.0–73.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.0% | 10.8–15.6 |
| Current cigarette smoking among adults | 21.6% | 18.9–24.7 |
| No leisure-time physical activity among adults | 36.3% | 31.4–41.7 |
| Short sleep duration among adults | 39.7% | 33.0–46.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.4% | 22.4–28.7 |
| Frequent mental distress among adults | 18.9% | 16.9–21.0 |
| Frequent physical distress among adults | 17.7% | 15.7–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.3% | 17.4–21.6 |
| Any disability among adults | 43.9% | 39.4–48.7 |
| Hearing disability among adults | 12.2% | 11.0–13.6 |
| Independent living disability among adults | 11.9% | 10.6–13.3 |
| Mobility disability among adults | 22.2% | 19.7–25.0 |
| Self-care disability among adults | 5.8% | 5.3–6.5 |
| Vision disability among adults | 7.7% | 7.0–8.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.8% | 20.9–28.7 |
| Food insecurity in the past 12 months among adults | 20.3% | 17.4–23.4 |
| Received food stamps in the past 12 months among adults | 18.7% | 15.9–21.7 |
| Housing insecurity in the past 12 months among adults | 14.4% | 12.3–16.6 |
| Lack of reliable transportation in the past 12 months among adults | 10.9% | 9.5–12.3 |
| Loneliness among adults | 31.6% | 26.5–36.8 |
| Utility services shut-off threat in the past 12 months among adults | 11.6% | 10.0–13.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.7% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 25.0% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 7.2% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 12.3% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 3.4% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 6.2% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 85.1% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 28.4% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 72.9% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 4.7% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 54.1% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 22.4% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 44.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $47,829 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $163,400 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $819 | $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 | 74.7 yr ± 0.82 | 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 0.82 years of 74.7, 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