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ZipVitals

ZIP code

74128

in Tulsa, OklahomaPopulation 13,751

31.01/ 100

Ranked #30,551 of 32,066 US ZIPs (bottom 4.8%)

Ranked #569 of 634 Oklahoma ZIPs (bottom 10.3%)

Ranked #78 of 88 Tulsa, OK ZIPs (bottom 11.4%)

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.

Uninsured (under 65)

23.5%

in the top 2.8% nationally

Lower is healthier

ST98th
US97th
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

Cognitive disability

22.9%

in the top 2.6% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Colon-cancer screening

53.1%

in the bottom 3.5% nationally

Higher is healthier

ST4th
US3rd
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Vision disability

10.1%

in the top 4.7% nationally

Lower is healthier

ST97th
US95th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Independent-living disability

13.6%

in the top 5.0% nationally

Lower is healthier

ST95th
US95th
Definition & 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 ›

Utility shut-off threat

18.1%

in the top 3.7% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Mammography

66.4%

in the bottom 4.5% nationally

Higher is healthier

ST32nd
US4th
Definition & source ›

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

Full methodology ›

Food insecurity

34.1%

in the top 3.9% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Housing insecurity

25.1%

in the top 4.0% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Loud transportation noise

2.8%

in the top 4.2% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.

Full methodology ›

The read

On the composite measure, ZIP 74128, one of several in Tulsa, Oklahoma stands in the bottom 4.8% nationally (30,551st) and the bottom 10.3% of Oklahoma (569th).

continue reading

The weightiest signals in the profile are worth naming up front: modeled uninsured is in the top 2.8% nationally, and cognitive disability registers in the top 2.6% nationally. Modeled colon screening lies in the bottom 3.5% nationally, and vision disability is in the top 4.7% nationally. Modeled independent living disability registers in the top 5.0% nationally, utility shutoff lies in the top 3.7% nationally, and mammography is in the bottom 4.5% nationally. Modeled food insecurity registers in the top 3.9% nationally, housing insecurity lies in the top 4.0% nationally, and loud transportation noise is in the top 4.2% nationally.

Set beside the wider area around it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For clarity, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. ZIP 74108, just across the boundary, ranks better overall among the ZIPs nearby.

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

Lifting this score

Healthcare Access

healthier than 82%

5%

Holding it back

Chronic Disease Burden

healthier than 32%

21%

Social Need / SDOH

healthier than 3%

16%

Environmental Hazard

healthier than 15%

14%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 9%

11%

Mental Health

healthier than 8%

8%

Disability

healthier than 4%

7%

Climate / Disaster Risk

healthier than 22%

5%

Lifting this score

Chronic Disease Burden

healthier than 65%

21%

Climate / Disaster Risk

healthier than 71%

5%

Healthcare Access

healthier than 86%

5%

Holding it back

Social Need / SDOH

healthier than 3%

16%

Environmental Hazard

healthier than 10%

14%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 13%

11%

Mental Health

healthier than 6%

8%

Disability

healthier than 10%

7%

Lifting this score

Climate / Disaster Risk

healthier than 62%

5%

Healthcare Access

healthier than 82%

5%

About typical

Chronic Disease Burden

healthier than 49%

21%

Holding it back

Social Need / SDOH

healthier than 7%

16%

Environmental Hazard

healthier than 28%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

healthier than 13%

11%

Mental Health

healthier than 12%

8%

Disability

healthier than 8%

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 ›

Findings that name this ZIP

2 of our published findings list 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 74.0 ± 1.5 years. A median household income of $52,195 predicts 77.5 years — 3.5 years below.

    Ranked #4,705 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 74.0 ± 1.5 years. The 48 nearest ZIP codes with estimates average 76.1 years — 2.1 years below them.

    Ranked #1,645 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

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 adults25.7%23.7–28.1
High blood pressure among adults39.0%36.4–42.0
Cancer (non-skin) or melanoma among adults6.2%5.6–6.8
Current asthma among adults11.8%10.6–13.1
Coronary heart disease among adults8.3%7.6–9.1
Chronic obstructive pulmonary disease among adults10.1%9.2–11.2
Depression among adults27.3%24.7–30.3
Diagnosed diabetes among adults15.5%14.0–17.4
High cholesterol among adults who have ever been screened36.0%33.4–39.0
Obesity among adults41.4%37.5–45.6
Stroke among adults4.6%4.2–4.9
All teeth lost among adults aged >=65 years21.8%18.5–25.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years23.5%20.9–26.4
Taking medicine to control high blood pressure among adults with high blood pressure75.1%72.7–77.6
Visits to doctor for routine checkup within the past year among adults74.5%71.6–77.5
Cholesterol screening among adults80.0%77.9–82.1
Colorectal cancer screening among adults aged 45–75 years53.1%48.8–57.3
Visited dentist or dental clinic in the past year among adults45.7%42.6–48.8
Mammography use among women aged 50-74 years66.4%59.2–72.8
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults11.9%10.2–14.0
Current cigarette smoking among adults20.6%18.6–23.0
No leisure-time physical activity among adults43.5%40.2–47.3
Short sleep duration among adults39.5%35.5–43.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults31.3%28.8–34.3
Frequent mental distress among adults20.6%18.7–22.7
Frequent physical distress among adults17.9%16.2–19.8
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults22.9%20.9–25.1
Any disability among adults48.0%44.9–51.4
Hearing disability among adults10.2%9.3–11.3
Independent living disability among adults13.6%12.4–15.0
Mobility disability among adults22.3%20.4–24.5
Self-care disability among adults6.7%6.2–7.3
Vision disability among adults10.1%9.4–11.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults31.1%27.4–35.0
Food insecurity in the past 12 months among adults34.1%30.5–37.8
Received food stamps in the past 12 months among adults29.8%26.5–33.3
Housing insecurity in the past 12 months among adults25.1%22.2–27.9
Lack of reliable transportation in the past 12 months among adults16.2%14.5–18.1
Loneliness among adults38.6%34.3–43.0
Utility services shut-off threat in the past 12 months among adults18.1%16.0–20.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)OK median (p10–p90)
Poverty rate24.9%10.6% (3.1–25.8%) n=32,36416.3% (6.5–26.1%) n=643
Uninsured 18–6435.5%9.0% (1.5–24.3%) n=32,28619.4% (9.5–30.7%) n=643
No HS diploma (25+)24.9%7.9% (1.8–20.7%) n=32,50510.9% (4.8–18.9%) n=644
Bachelor's or higher (25+)13.6%23.3% (9.2–53.6%) n=32,50518.4% (9.0–38.4%) n=644
Unemployment rate (16+)6.7%3.9% (0.0–9.8%) n=32,2744.3% (0.4–8.8%) n=643
Households without a vehicle5.0%3.9% (0.0–12.5%) n=32,3223.6% (0.0–9.0%) n=643
Broadband subscription84.7%89.3% (75.1–97.1%) n=32,32285.4% (70.2–95.0%) n=643
Housing cost burden (≥30% income)33.6%23.7% (10.6–40.0%) n=32,32220.0% (9.5–31.0%) n=643
Homeownership rate60.3%78.7% (51.7–94.0%) n=32,32278.2% (56.5–91.0%) n=643
Crowded housing (>1 per room)9.2%1.3% (0.0–6.3%) n=32,3222.3% (0.0–6.1%) n=643
Foreign-born population20.3%2.6% (0.0–18.6%) n=32,5531.9% (0.0–9.3%) n=645
Single-parent households39.7%53.6% (37.3–74.1%) n=32,08751.7% (39.5–66.1%) n=640
Population 65+10.7%19.4% (10.8–33.6%) n=32,55318.4% (11.9–29.5%) n=645
Median age29.7 yr42.2 yr (33.0–56.3) n=32,29240.3 yr (33.1–52.0) n=642
Median household income$52,195$72,070 ($46,039–$118,707) n=30,318$58,728 ($43,042–$88,542) n=616
Median home value$120,100$222,200 ($100,300–$579,820) n=30,049$142,200 ($83,960–$248,900) n=615
Median gross rent$1,109$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 birth74.0 yr ± 0.7778.9 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 0.77 years of 74.0, 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