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ZipVitals

ZIP code

74652

in Shidler, OklahomaPopulation 793

42.93/ 100

Ranked #24,441 of 32,066 US ZIPs (bottom 24%)

Ranked #207 of 634 Oklahoma ZIPs (top 33%)

Ranked #37 of 88 Tulsa, OK ZIPs (top 42%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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

67.4%

in the bottom 6.3% nationally

Higher is healthier

ST47th
US6th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Obesity

44.7%

in the top 4.9% nationally

Lower is healthier

ST90th
US95th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Dry extreme heat

50.8 days/year

in the top 9.2% nationally

Lower is healthier

ST29th
US91st
Definition & source ›

The average number of days per year with a modeled daily high of at least 95 °F.

Full methodology ›

Arsenic in groundwater

14.6%

in the top 10.3% nationally

Lower is healthier

ST99th
US90th
Definition & 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 ›

Fine-particle (PM2.5) exceedance

0.82%

in the top 11.7% nationally

Lower is healthier

ST92nd
US88th
Definition & 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

Shidler, Oklahoma (ZIP 74652), overall, ranks in the bottom 24% nationally (24,441st) and the top 33% of Oklahoma (207th).

continue reading

Reading the numbers as a whole, the picture lands somewhere in between: housing-cost burden settles in the bottom 13.2% nationally, and modeled transportation noise is in the bottom 14.6% nationally. On the other side, modeled mammography sits in the bottom 6.3% nationally, obesity lands in the top 4.9% nationally, and extreme heat lies in the top 9.2% nationally. Modeled arsenic stands in the top 10.3% nationally, and fine-particle rests in the top 11.7% nationally. Modeled hearing disability registers in the top 12.7% nationally, and high blood pressure resides in the top 12.1% nationally. Distance to a nursing home settles in the top 13.7% nationally.

Defined simply, 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. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 74604, about 3.6 miles away, comes out healthier overall.

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.

Compare within

Nothing measured is lifting this score.

About typical

Preventive Care

healthier than 42%

13%

Risk Behavior

healthier than 52%

11%

Holding it back

Chronic Disease Burden

healthier than 17%

21%

Social Need / SDOH

healthier than 37%

16%

Environmental Hazard

healthier than 17%

14%

Mental Health

healthier than 35%

8%

Disability

healthier than 29%

7%

Climate / Disaster Risk

healthier than 24%

5%

Healthcare Access

healthier than 19%

5%

Lifting this score

Social Need / SDOH

healthier than 71%

16%

Preventive Care

healthier than 85%

13%

Risk Behavior

healthier than 80%

11%

Mental Health

healthier than 75%

8%

Disability

healthier than 70%

7%

Climate / Disaster Risk

healthier than 80%

5%

About typical

Chronic Disease Burden

healthier than 41%

21%

Holding it back

Environmental Hazard

healthier than 11%

14%

Healthcare Access

healthier than 22%

5%

Lifting this score

Preventive Care

healthier than 87%

13%

Risk Behavior

healthier than 75%

11%

Mental Health

healthier than 88%

8%

Disability

healthier than 61%

7%

Climate / Disaster Risk

healthier than 72%

5%

About typical

Social Need / SDOH

healthier than 58%

16%

Holding it back

Chronic Disease Burden

healthier than 32%

21%

Environmental Hazard

healthier than 30%

14%

Healthcare Access

healthier than 16%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults33.7%30.5–37.5
High blood pressure among adults45.1%41.1–49.4
Cancer (non-skin) or melanoma among adults10.2%9.2–11.2
Current asthma among adults12.1%10.8–13.7
Coronary heart disease among adults8.8%7.9–9.8
Chronic obstructive pulmonary disease among adults9.4%8.2–10.6
Depression among adults25.2%21.9–29.1
Diagnosed diabetes among adults13.5%11.9–15.7
High cholesterol among adults who have ever been screened41.1%37.0–45.6
Obesity among adults44.7%37.9–52.2
Stroke among adults4.3%3.9–4.7
All teeth lost among adults aged >=65 years16.3%13.6–19.3
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.1%6.7–9.7
Taking medicine to control high blood pressure among adults with high blood pressure79.8%77.2–82.4
Visits to doctor for routine checkup within the past year among adults80.6%77.6–83.7
Cholesterol screening among adults87.7%86.0–89.3
Colorectal cancer screening among adults aged 45–75 years65.5%60.6–70.1
Visited dentist or dental clinic in the past year among adults58.3%54.7–61.8
Mammography use among women aged 50-74 years67.4%58.4–75.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults13.7%11.4–16.6
Current cigarette smoking among adults17.5%15.1–20.4
No leisure-time physical activity among adults29.2%24.9–34.3
Short sleep duration among adults35.0%29.0–41.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults20.4%17.8–23.4
Frequent mental distress among adults17.0%15.2–19.2
Frequent physical distress among adults15.2%13.4–17.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults16.2%14.4–18.4
Any disability among adults39.3%34.9–44.2
Hearing disability among adults10.6%9.5–11.9
Independent living disability among adults9.2%8.2–10.5
Mobility disability among adults18.2%16.0–20.8
Self-care disability among adults4.4%3.9–4.9
Vision disability among adults5.6%5.0–6.3
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults24.0%20.6–28.0
Food insecurity in the past 12 months among adults14.0%11.7–16.5
Received food stamps in the past 12 months among adults11.8%9.8–14.2
Housing insecurity in the past 12 months among adults11.0%9.3–12.8
Lack of reliable transportation in the past 12 months among adults7.7%6.7–8.8
Loneliness among adults31.5%26.7–36.8
Utility services shut-off threat in the past 12 months among adults8.3%7.1–9.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)OK median (p10–p90)
Poverty rate13.4%10.6% (3.1–25.8%) n=32,36416.3% (6.5–26.1%) n=643
Uninsured 18–6411.7%9.0% (1.5–24.3%) n=32,28619.4% (9.5–30.7%) n=643
No HS diploma (25+)9.0%7.9% (1.8–20.7%) n=32,50510.9% (4.8–18.9%) n=644
Bachelor's or higher (25+)21.5%23.3% (9.2–53.6%) n=32,50518.4% (9.0–38.4%) n=644
Unemployment rate (16+)4.5%3.9% (0.0–9.8%) n=32,2744.3% (0.4–8.8%) n=643
Households without a vehicle3.9%3.9% (0.0–12.5%) n=32,3223.6% (0.0–9.0%) n=643
Broadband subscription86.0%89.3% (75.1–97.1%) n=32,32285.4% (70.2–95.0%) n=643
Housing cost burden (≥30% income)12.5%23.7% (10.6–40.0%) n=32,32220.0% (9.5–31.0%) n=643
Homeownership rate87.5%78.7% (51.7–94.0%) n=32,32278.2% (56.5–91.0%) n=643
Crowded housing (>1 per room)0.3%1.3% (0.0–6.3%) n=32,3222.3% (0.0–6.1%) n=643
Foreign-born population0.3%2.6% (0.0–18.6%) n=32,5531.9% (0.0–9.3%) n=645
Single-parent households72.4%53.6% (37.3–74.1%) n=32,08751.7% (39.5–66.1%) n=640
Population 65+34.8%19.4% (10.8–33.6%) n=32,55318.4% (11.9–29.5%) n=645
Median age49.5 yr42.2 yr (33.0–56.3) n=32,29240.3 yr (33.1–52.0) n=642
Median household income$71,307$72,070 ($46,039–$118,707) n=30,318$58,728 ($43,042–$88,542) n=616
Median home value$87,800$222,200 ($100,300–$579,820) n=30,049$142,200 ($83,960–$248,900) n=615
Median gross rent$738$1,021 ($677–$1,912) n=25,670$839 ($628–$1,136) n=546
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)OK median (p10–p90)
Life expectancy at birth76.9 yr ± 1.3178.9 yr (74.7–82.8) n=31,30877.2 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 1.31 years of 76.9, and it’s very unlikely to be off by more than twice that.

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