ZIP code
85715
in Tucson, ArizonaPopulation 19,198
57.84/ 100
Ranked #6,531 of 32,066 US ZIPs (top 20%)
Ranked #97 of 394 Arizona ZIPs (top 25%)
Ranked #18 of 46 Tucson, AZ 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.
Dental provider access
1.9 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Physician access
3.5 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST96thUS97thDefinition & 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 ›Outer-floodplain exposure
8.3%
in the top 4.6% nationally
Lower is healthier
ST64thUS95thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
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 ›Dry extreme heat
74.5 days/year
in the top 5.5% nationally
Lower is healthier
ST47thUS95thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Recreation access
1.2 per 1,000 residents
in the top 6.1% nationally
Higher is healthier
ST93rdUS94thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Elder-services access
0.16 per 1,000 residents
in the top 9.2% nationally
Higher is healthier
ST93rdUS91stDefinition & 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 ›Energy-cost burden
1.7%
in the bottom 8.3% nationally
Lower is healthier
ST15thUS8thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Pharmacy access
0.27 per 1,000 residents
in the top 17% nationally
Higher is healthier
ST92ndUS83rdDefinition & 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 ›The read
ZIP 85715, one of several in Tucson, Arizona, by its composite score, sits in the top 20% healthiest ZIPs nationally (6,531st) and the top 25% of Arizona (97th).
The data opens on a genuinely even set of readings: dental providers sits in the top 1.4% nationally, and physicians lies in the top 2.6% nationally. Recreation rests in the top 6.1% nationally, and elder services resides in the top 9.2% nationally. Grocery is in the top 10.3% nationally. On the other side, outer-floodplain exposure lands in the top 4.6% nationally, modeled tree cover stands at the national minimum, and PFAS in drinking water registers at the national maximum. Modeled extreme heat settles in the top 5.5% nationally, and loud transportation noise sits in the top 10.1% nationally.
Next to the surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". 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 85718, 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 Tucson, AZ metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 92%
16%
Environmental Hazard
healthier than 88%
14%
Preventive Care
healthier than 64%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 72%
8%
Disability
healthier than 63%
7%
Healthcare Access
healthier than 86%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Holding it back
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Social Need / SDOH
healthier than 88%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 80%
11%
Disability
healthier than 72%
7%
Healthcare Access
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Holding it back
Mental Health
healthier than 39%
8%
Climate / Disaster Risk
healthier than 33%
5%
Lifting this score
Social Need / SDOH
healthier than 79%
16%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 67%
8%
Disability
healthier than 63%
7%
Healthcare Access
healthier than 67%
5%
About typical
Environmental Hazard
healthier than 42%
14%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Climate / Disaster Risk
healthier than 26%
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
85710
Arizonashares a border
Score 50.92
Closest healthier
85718
Arizonashares a border
Score 66.29
Similar health profile
27959
North Carolina95% similar profile
Score 62.78
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 | 30.3% | 27.9–32.6 |
| High blood pressure among adults | 37.0% | 34.2–39.7 |
| Cancer (non-skin) or melanoma among adults | 12.2% | 11.3–13.2 |
| Current asthma among adults | 11.0% | 9.9–12.2 |
| Coronary heart disease among adults | 7.3% | 6.6–8.0 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.2–7.9 |
| Depression among adults | 22.7% | 20.3–25.3 |
| Diagnosed diabetes among adults | 10.8% | 9.6–12.1 |
| High cholesterol among adults who have ever been screened | 41.2% | 38.2–44.0 |
| Obesity among adults | 29.1% | 25.3–32.9 |
| Stroke among adults | 3.8% | 3.4–4.1 |
| All teeth lost among adults aged >=65 years | 9.5% | 7.9–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.8–9.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.5% | 75.0–79.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 76.8–81.4 |
| Cholesterol screening among adults | 89.3% | 88.0–90.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.9% | 64.2–71.3 |
| Visited dentist or dental clinic in the past year among adults | 64.0% | 61.3–66.6 |
| Mammography use among women aged 50-74 years | 73.6% | 68.0–78.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.2% | 11.4–15.0 |
| Current cigarette smoking among adults | 9.1% | 7.8–10.3 |
| No leisure-time physical activity among adults | 19.1% | 16.8–21.5 |
| Short sleep duration among adults | 34.5% | 30.9–38.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 15.1–18.7 |
| Frequent mental distress among adults | 14.5% | 13.0–16.0 |
| Frequent physical distress among adults | 13.0% | 11.7–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 11.1–13.7 |
| Any disability among adults | 31.8% | 28.9–34.5 |
| Hearing disability among adults | 9.2% | 8.3–10.1 |
| Independent living disability among adults | 6.9% | 6.1–7.7 |
| Mobility disability among adults | 14.2% | 12.6–15.7 |
| Self-care disability among adults | 3.4% | 3.1–3.7 |
| Vision disability among adults | 4.7% | 4.2–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.4% | 20.0–24.9 |
| Food insecurity in the past 12 months among adults | 9.5% | 8.3–10.8 |
| Received food stamps in the past 12 months among adults | 7.1% | 6.1–8.2 |
| Housing insecurity in the past 12 months among adults | 7.5% | 6.5–8.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.5–7.0 |
| Loneliness among adults | 29.6% | 26.6–32.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.8–6.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AZ median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.6% | 10.6% (3.1–25.8%) n=32,364 | 12.8% (4.6–36.9%) n=396 |
| Uninsured 18–64 | 7.9% | 9.0% (1.5–24.3%) n=32,286 | 14.0% (5.0–32.9%) n=394 |
| No HS diploma (25+) | 5.8% | 7.9% (1.8–20.7%) n=32,505 | 9.3% (2.0–25.9%) n=397 |
| Bachelor's or higher (25+) | 46.7% | 23.3% (9.2–53.6%) n=32,505 | 23.8% (6.0–53.1%) n=397 |
| Unemployment rate (16+) | 5.2% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.3%) n=395 |
| Households without a vehicle | 3.5% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–14.3%) n=394 |
| Broadband subscription | 96.6% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (57.1–97.2%) n=394 |
| Housing cost burden (≥30% income) | 28.3% | 23.7% (10.6–40.0%) n=32,322 | 25.5% (8.5–37.5%) n=394 |
| Homeownership rate | 71.8% | 78.7% (51.7–94.0%) n=32,322 | 76.3% (44.6–92.8%) n=394 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 3.3% (0.0–15.7%) n=394 |
| Foreign-born population | 8.7% | 2.6% (0.0–18.6%) n=32,553 | 7.6% (0.0–20.4%) n=397 |
| Single-parent households | 64.2% | 53.6% (37.3–74.1%) n=32,087 | 51.4% (30.6–79.7%) n=388 |
| Population 65+ | 26.5% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (8.0–46.8%) n=397 |
| Median age | 48.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.9 yr (30.0–62.5) n=394 |
| Median household income | $85,069 | $72,070 ($46,039–$118,707) n=30,318 | $69,137 ($39,000–$114,111) n=371 |
| Median home value | $370,000 | $222,200 ($100,300–$579,820) n=30,049 | $326,300 ($73,560–$591,760) n=363 |
| Median gross rent | $1,432 | $1,021 ($677–$1,912) n=25,670 | $1,303 ($683–$2,093) n=323 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | AZ median (p10–p90) |
|---|---|---|---|
| Life expectancy unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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