ZIP code
73112
in Oklahoma City, OklahomaPopulation 30,372
48.69/ 100
Ranked #18,096 of 32,066 US ZIPs (bottom 44%)
Ranked #85 of 634 Oklahoma ZIPs (top 13.5%)
Ranked #43 of 105 Oklahoma City, OK ZIPs (top 41%)
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.
Physician access
5.5 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of physicians’ offices located 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 ›Dental provider access
1.5 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of dental offices located 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 ›Outpatient-care access
0.84 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST96thUS97thDefinition & source ›
The number of outpatient clinics located 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 ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were 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 ›Pharmacy access
0.48 per 1,000 residents
in the top 5.5% nationally
Higher is healthier
ST88thUS95thDefinition & source ›
The number of pharmacies located 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 ›Walkability
140 intersections/sq mi
in the top 6.1% nationally
Higher is healthier
ST98thUS94thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Dry extreme heat
63.8 days/year
in the top 6.8% nationally
Lower is healthier
ST61stUS93rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Elder-services access
0.19 per 1,000 residents
in the top 7.5% nationally
Higher is healthier
ST89thUS93rdDefinition & 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 ›The read
Judged by its overall standing, ZIP 73112, one of several in Oklahoma City, Oklahoma sits in the bottom 44% nationally (18,096th) and the top 13.5% of Oklahoma (85th).
A demanding profile, and several measures drive it: modeled tree cover settles at the national minimum, PFAS in drinking water lands at the national maximum, and modeled extreme heat rests in the top 6.8% nationally. On the stronger side, physicians settles in the top 1.0% nationally, dental providers lands in the top 2.6% nationally, and outpatient rests in the top 2.8% nationally. Lead in tap water settles at the national minimum, and pharmacy lands in the top 5.5% nationally. Walkability rests in the top 6.1% nationally, and elder services settles in the top 7.5% nationally.
Placed beside its immediate neighbors, physicians runs far higher than the surrounding ZIPs on this measure. Put plainly, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier nearby ZIP overall is ZIP 73116, 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 Oklahoma City, OK metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Healthcare Access
healthier than 88%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Risk Behavior
healthier than 51%
11%
Disability
healthier than 41%
7%
Holding it back
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 25%
13%
Mental Health
healthier than 28%
8%
Climate / Disaster Risk
healthier than 25%
5%
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Social Need / SDOH
healthier than 78%
16%
Preventive Care
healthier than 62%
13%
Risk Behavior
healthier than 80%
11%
Disability
healthier than 82%
7%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 90%
5%
About typical
Mental Health
healthier than 59%
8%
Holding it back
Environmental Hazard
healthier than 24%
14%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 86%
5%
About typical
Social Need / SDOH
healthier than 53%
16%
Preventive Care
healthier than 45%
13%
Risk Behavior
healthier than 54%
11%
Mental Health
healthier than 48%
8%
Disability
healthier than 57%
7%
Holding it back
Environmental Hazard
healthier than 32%
14%
“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 75.6 ± 1.0 years. A median household income of $58,419 predicts 78.0 years — 2.4 years below.
Ranked #3,260 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
73107
Oklahomashares a border
Score 42.14
Closest healthier
73116
Oklahomashares a border
Score 60.51
Similar health profile
75965
Texas98% similar profile
Score 47.51
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 | 26.3% | 24.1–28.5 |
| High blood pressure among adults | 36.2% | 33.5–38.9 |
| Cancer (non-skin) or melanoma among adults | 6.8% | 6.2–7.4 |
| Current asthma among adults | 11.5% | 10.3–12.8 |
| Coronary heart disease among adults | 6.5% | 5.9–7.2 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.2–7.7 |
| Depression among adults | 25.5% | 22.9–28.2 |
| Diagnosed diabetes among adults | 12.2% | 10.9–13.6 |
| High cholesterol among adults who have ever been screened | 36.1% | 33.3–38.9 |
| Obesity among adults | 37.4% | 33.7–41.2 |
| Stroke among adults | 3.3% | 3.1–3.6 |
| All teeth lost among adults aged >=65 years | 13.9% | 11.0–17.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.4% | 10.9–13.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.3% | 72.9–77.7 |
| Visits to doctor for routine checkup within the past year among adults | 77.6% | 74.9–80.1 |
| Cholesterol screening among adults | 84.0% | 82.3–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 62.9% | 57.9–67.5 |
| Visited dentist or dental clinic in the past year among adults | 58.5% | 54.9–61.9 |
| Mammography use among women aged 50-74 years | 74.3% | 66.8–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.9–17.2 |
| Current cigarette smoking among adults | 14.5% | 12.8–16.2 |
| No leisure-time physical activity among adults | 28.7% | 25.9–31.7 |
| Short sleep duration among adults | 36.3% | 31.7–40.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.8% | 17.9–21.9 |
| Frequent mental distress among adults | 17.7% | 16.0–19.5 |
| Frequent physical distress among adults | 13.2% | 11.9–14.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.1% | 15.5–18.8 |
| Any disability among adults | 37.4% | 34.5–40.4 |
| Hearing disability among adults | 7.5% | 6.8–8.4 |
| Independent living disability among adults | 9.1% | 8.3–10.0 |
| Mobility disability among adults | 16.1% | 14.5–17.7 |
| Self-care disability among adults | 4.0% | 3.7–4.4 |
| Vision disability among adults | 5.8% | 5.4–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.3% | 22.2–28.6 |
| Food insecurity in the past 12 months among adults | 18.8% | 16.6–21.0 |
| Received food stamps in the past 12 months among adults | 15.4% | 13.4–17.5 |
| Housing insecurity in the past 12 months among adults | 15.5% | 13.6–17.5 |
| Lack of reliable transportation in the past 12 months among adults | 10.0% | 8.8–11.2 |
| Loneliness among adults | 31.9% | 28.0–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 11.1% | 9.7–12.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OK median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.3% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (6.5–26.1%) n=643 |
| Uninsured 18–64 | 18.6% | 9.0% (1.5–24.3%) n=32,286 | 19.4% (9.5–30.7%) n=643 |
| No HS diploma (25+) | 9.0% | 7.9% (1.8–20.7%) n=32,505 | 10.9% (4.8–18.9%) n=644 |
| Bachelor's or higher (25+) | 36.5% | 23.3% (9.2–53.6%) n=32,505 | 18.4% (9.0–38.4%) n=644 |
| Unemployment rate (16+) | 4.7% | 3.9% (0.0–9.8%) n=32,274 | 4.3% (0.4–8.8%) n=643 |
| Households without a vehicle | 7.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–9.0%) n=643 |
| Broadband subscription | 91.1% | 89.3% (75.1–97.1%) n=32,322 | 85.4% (70.2–95.0%) n=643 |
| Housing cost burden (≥30% income) | 33.8% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.5–31.0%) n=643 |
| Homeownership rate | 51.7% | 78.7% (51.7–94.0%) n=32,322 | 78.2% (56.5–91.0%) n=643 |
| Crowded housing (>1 per room) | 2.4% | 1.3% (0.0–6.3%) n=32,322 | 2.3% (0.0–6.1%) n=643 |
| Foreign-born population | 12.6% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–9.3%) n=645 |
| Single-parent households | 43.8% | 53.6% (37.3–74.1%) n=32,087 | 51.7% (39.5–66.1%) n=640 |
| Population 65+ | 15.8% | 19.4% (10.8–33.6%) n=32,553 | 18.4% (11.9–29.5%) n=645 |
| Median age | 36.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.3 yr (33.1–52.0) n=642 |
| Median household income | $58,419 | $72,070 ($46,039–$118,707) n=30,318 | $58,728 ($43,042–$88,542) n=616 |
| Median home value | $196,400 | $222,200 ($100,300–$579,820) n=30,049 | $142,200 ($83,960–$248,900) n=615 |
| Median gross rent | $1,075 | $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 | 75.6 yr ± 0.51 | 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 0.51 years of 75.6, 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