ZIP code
74036
in Inola, OklahomaPopulation 7,799
43.43/ 100
Ranked #23,984 of 32,066 US ZIPs (bottom 25%)
Ranked #193 of 634 Oklahoma ZIPs (top 30%)
Ranked #34 of 88 Tulsa, OK ZIPs (top 39%)
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.
Elder-services access
0.28 per 1,000 residents
in the top 5.0% nationally
Higher is healthier
ST93rdUS95thDefinition & source ›
The number of services for older adults and people with disabilities inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Mammography
68.7%
in the bottom 9.4% nationally
Higher is healthier
ST62ndUS9thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Crowded housing
6.2%
in the top 10.3% nationally
Lower is healthier
ST91stUS90thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›PFOS in drinking water
44.7%
in the top 18% nationally
Lower is healthier
ST95thUS82ndDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
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 ›Poverty rate
6.1%
in the bottom 25% nationally
Lower is healthier
ST9thUS25thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›The read
In overall standing, Inola, Oklahoma (ZIP 74036) comes out in the bottom 25% nationally (23,984th) and the top 30% of Oklahoma (193rd).
The profile opens balanced, with readings on either hand: elder services settles in the top 5.0% nationally. Distance to a nursing home registers at the national minimum, shared with about 27% of ZIPs. Pharmacy stands in the top 16% nationally. By contrast, modeled mammography lands in the bottom 9.4% nationally, and extreme heat is in the top 10.2% nationally. Crowded housing resides in the top 10.3% nationally, and modeled fine-particle rests in the top 13.4% nationally. Floodplain exposure lies in the top 13.5% nationally, and modeled disaster risk sits in the top 17% nationally. Recreation settles at the national minimum, shared with about 35% of ZIPs.
In plain terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The nearest healthier ZIP overall is ZIP 74014, 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 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.
About typical
Social Need / SDOH
healthier than 43%
16%
Risk Behavior
healthier than 44%
11%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 27%
13%
Mental Health
healthier than 30%
8%
Disability
healthier than 27%
7%
Climate / Disaster Risk
healthier than 12%
5%
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Social Need / SDOH
healthier than 76%
16%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 66%
8%
Disability
healthier than 68%
7%
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 29%
14%
Climate / Disaster Risk
healthier than 25%
5%
Lifting this score
Social Need / SDOH
healthier than 63%
16%
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 80%
8%
About typical
Chronic Disease Burden
healthier than 43%
21%
Environmental Hazard
healthier than 55%
14%
Disability
healthier than 53%
7%
Holding it back
Climate / Disaster Risk
healthier than 26%
5%
Healthcare Access
healthier than 38%
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 74.7 ± 1.8 years. A median household income of $79,824 predicts 79.2 years — 4.5 years below.
Ranked #5,323 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
74014
Oklahomashares a border
Score 50.95
Closest healthier
74019
Oklahomashares a border
Score 48.41
Similar health profile
75156
Texas99% similar profile
Score 37.03
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 | 29.7% | 26.8–32.6 |
| High blood pressure among adults | 40.2% | 36.5–43.8 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.7 |
| Current asthma among adults | 11.8% | 10.5–13.2 |
| Coronary heart disease among adults | 8.1% | 7.3–9.0 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.0–10.1 |
| Depression among adults | 25.2% | 22.0–28.5 |
| Diagnosed diabetes among adults | 13.7% | 12.0–15.5 |
| High cholesterol among adults who have ever been screened | 39.7% | 36.0–43.5 |
| Obesity among adults | 41.2% | 35.4–46.9 |
| Stroke among adults | 4.1% | 3.7–4.4 |
| All teeth lost among adults aged >=65 years | 18.3% | 15.3–21.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.4% | 8.0–11.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.2% | 74.5–79.7 |
| Visits to doctor for routine checkup within the past year among adults | 78.2% | 75.0–81.0 |
| Cholesterol screening among adults | 85.7% | 83.9–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 58.4–67.6 |
| Visited dentist or dental clinic in the past year among adults | 58.2% | 54.8–61.7 |
| Mammography use among women aged 50-74 years | 68.7% | 60.9–76.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.8% | 11.6–16.2 |
| Current cigarette smoking among adults | 18.1% | 15.8–20.6 |
| No leisure-time physical activity among adults | 31.0% | 26.8–35.3 |
| Short sleep duration among adults | 35.0% | 29.9–40.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.0% | 18.5–23.6 |
| Frequent mental distress among adults | 17.6% | 15.7–19.7 |
| Frequent physical distress among adults | 15.4% | 13.7–17.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.5% | 15.5–19.5 |
| Any disability among adults | 39.8% | 35.6–44.0 |
| Hearing disability among adults | 10.0% | 9.0–11.1 |
| Independent living disability among adults | 9.7% | 8.7–10.9 |
| Mobility disability among adults | 18.1% | 16.1–20.4 |
| Self-care disability among adults | 4.4% | 4.0–4.9 |
| Vision disability among adults | 5.9% | 5.4–6.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.0% | 21.6–28.7 |
| Food insecurity in the past 12 months among adults | 16.4% | 14.3–18.9 |
| Received food stamps in the past 12 months among adults | 13.5% | 11.6–15.7 |
| Housing insecurity in the past 12 months among adults | 12.4% | 10.8–14.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.8% | 7.9–10.0 |
| Loneliness among adults | 32.3% | 27.8–37.0 |
| Utility services shut-off threat in the past 12 months among adults | 9.1% | 8.0–10.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.1% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 15.8% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 13.1% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 20.0% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 4.6% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 4.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 89.9% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 18.1% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 84.8% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 6.2% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 16.3% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 37.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $79,824 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $215,900 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $999 | $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 ± 0.94 | 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 0.94 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