ZIP code
73568
in Temple, OklahomaPopulation 1,144
37.10/ 100
Ranked #28,476 of 32,066 US ZIPs (bottom 11.2%)
Ranked #427 of 634 Oklahoma ZIPs (bottom 33%)
Ranked #14 of 17 Lawton, OK ZIPs (bottom 18%)
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.
Dry extreme heat
88.4 days/year
in the top 3.5% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Nitrate in drinking water
6.8%
in the top 3.7% nationally
Lower is healthier
ST68thUS96thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›Hearing disability
12.0%
in the top 4.5% nationally
Lower is healthier
ST76thUS96thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Tooth loss
25.9%
in the top 6.2% nationally
Lower is healthier
ST92ndUS94thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Distance to an emergency room
20.7 mi
in the top 5.1% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Mammography
67.2%
in the bottom 5.9% nationally
Higher is healthier
ST44thUS6thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Median household income
$29,737
in the bottom 1.8% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Poverty rate
28.4%
in the top 7.9% nationally
Lower is healthier
ST94thUS92ndDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Mobility disability
22.3%
in the top 8.7% nationally
Lower is healthier
ST76thUS91stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Binge drinking
12.1%
in the bottom 7.3% nationally
Lower is healthier
ST15thUS7thDefinition & 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
Temple, Oklahoma (ZIP 73568), by its composite score, sits in the bottom 11.2% nationally (28,476th) and the bottom 33% of Oklahoma (427th), based on limited data; treat as directional.
The measures land in both directions, and neither dominates: modeled binge drinking lands in the bottom 7.3% nationally. Pulling the other way, modeled extreme heat stands in the top 3.5% nationally, and nitrate registers in the top 3.7% nationally. Modeled hearing disability settles in the top 4.5% nationally, modeled tooth loss sits in the top 6.2% nationally, and distance to an emergency room lies in the top 5.1% nationally. Modeled mammography rests in the bottom 5.9% nationally, household income resides in the bottom 1.8% nationally, and poverty is in the top 7.9% nationally. Modeled mobility disability lands in the top 8.7% nationally.
For anyone unfamiliar, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier comparison close by, see ZIP 73529, 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 Lawton, OK metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 97%
14%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 19%
16%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 39%
8%
Disability
healthier than 12%
7%
Climate / Disaster RiskPartial
healthier than 1%
5%
Healthcare Access
healthier than 23%
5%
Lifting this score
Environmental Hazard
in the top 0.2%
14%
Preventive Care
healthier than 66%
13%
Mental Health
healthier than 80%
8%
About typical
Risk Behavior
healthier than 53%
11%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 37%
16%
Disability
healthier than 31%
7%
Climate / Disaster RiskPartial
in the bottom 0.8%
5%
Healthcare Access
healthier than 25%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 80%
8%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 28%
13%
Disability
healthier than 3%
7%
Climate / Disaster RiskPartial
in the bottom 0.00%
5%
Healthcare Access
healthier than 6%
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
73529
Oklahomashares a border
Score 41.11
Closest healthier
73548
Oklahomashares a border
Score 37.11
Similar health profile
74756
Oklahoma99% similar profile
Score 40.78
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 | 35.0% | 31.1–38.9 |
| High blood pressure among adults | 46.7% | 42.1–51.4 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.2–11.2 |
| Current asthma among adults | 11.7% | 10.3–13.2 |
| Coronary heart disease among adults | 10.0% | 8.8–11.2 |
| Chronic obstructive pulmonary disease among adults | 10.9% | 9.3–12.5 |
| Depression among adults | 24.4% | 20.7–28.4 |
| Diagnosed diabetes among adults | 16.5% | 14.2–18.9 |
| High cholesterol among adults who have ever been screened | 43.6% | 38.8–48.5 |
| Obesity among adults | 42.9% | 34.1–51.7 |
| Stroke among adults | 5.1% | 4.5–5.7 |
| All teeth lost among adults aged >=65 years | 25.9% | 21.7–30.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.8% | 9.6–14.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.5% | 78.9–83.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.6% | 77.2–83.8 |
| Cholesterol screening among adults | 86.5% | 84.6–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 61.8% | 56.0–67.0 |
| Visited dentist or dental clinic in the past year among adults | 54.0% | 49.9–57.8 |
| Mammography use among women aged 50-74 years | 67.2% | 57.7–75.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.1% | 9.8–14.8 |
| Current cigarette smoking among adults | 18.5% | 15.6–21.5 |
| No leisure-time physical activity among adults | 36.2% | 30.5–41.8 |
| Short sleep duration among adults | 37.9% | 30.6–45.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.9% | 21.5–28.5 |
| Frequent mental distress among adults | 17.1% | 15.1–19.3 |
| Frequent physical distress among adults | 16.9% | 14.8–19.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.8% | 15.5–20.0 |
| Any disability among adults | 43.7% | 38.4–49.0 |
| Hearing disability among adults | 12.0% | 10.7–13.4 |
| Independent living disability among adults | 11.0% | 9.5–12.4 |
| Mobility disability among adults | 22.3% | 19.3–25.4 |
| Self-care disability among adults | 5.4% | 4.8–6.2 |
| Vision disability among adults | 7.4% | 6.5–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.8% | 20.9–29.2 |
| Food insecurity in the past 12 months among adults | 19.3% | 16.2–22.6 |
| Received food stamps in the past 12 months among adults | 16.5% | 13.8–19.7 |
| Housing insecurity in the past 12 months among adults | 13.4% | 11.4–15.8 |
| Lack of reliable transportation in the past 12 months among adults | 9.5% | 8.3–11.0 |
| Loneliness among adults | 32.5% | 27.1–38.3 |
| Utility services shut-off threat in the past 12 months among adults | 10.0% | 8.6–11.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.4% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 25.3% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 16.0% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 12.8% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 80.5% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 17.9% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 80.1% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.0% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 48.0% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 22.1% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 45.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $29,737 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $55,000 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $717 | $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 | 80.6 yr ± 2.51 | 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 2.51 years of 80.6, 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