ZIP code
97535
in Phoenix, OregonPopulation 4,804
50.12/ 100
Ranked #16,072 of 32,066 US ZIPs (bottom 50%)
Ranked #174 of 407 Oregon ZIPs (top 43%)
Ranked #5 of 15 Medford, OR ZIPs (top 33%)
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.
Fine-particle (PM2.5) exceedance
7.0%
in the top 0.5% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Slow internet speeds
3.6%
in the top 3.3% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Outer-floodplain exposure
10.5%
in the top 3.7% nationally
Lower is healthier
ST97thUS96thDefinition & 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 ›Child-care access
0.6 per 1,000 residents
in the top 7.2% nationally
Higher is healthier
ST93rdUS93rdDefinition & source ›
The number of child day-care services 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 ›Pharmacy access
0.4 per 1,000 residents
in the top 8.2% nationally
Higher is healthier
ST97thUS92ndDefinition & 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 ›Recreation access
1 per 1,000 residents
in the top 8.9% nationally
Higher is healthier
ST87thUS91stDefinition & 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 ›Civic-institution access
0.6 per 1,000 residents
in the top 9.8% nationally
Higher is healthier
ST83rdUS90thDefinition & source ›
The number of civic and social organizations 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
Phoenix, Oregon (ZIP 97535) ranks in the bottom 50% nationally (16,072nd) and the top 43% of Oregon (174th).
Several signals sit on each side of the ledger here: childcare rests in the top 7.2% nationally, and pharmacy lands in the top 8.2% nationally. Recreation settles in the top 8.9% nationally, and civic rests in the top 9.8% nationally. Transit lands in the top 10.6% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. Working the other way, modeled fine-particle rests in the top 0.5% nationally, slow internet speeds lands in the top 3.3% nationally, and outer-floodplain exposure settles in the top 3.7% nationally. Modeled tree cover rests in the bottom 12.2% nationally.
Against its neighbors, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For context, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. The closest ZIP that ranks healthier overall is ZIP 97504, 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 Medford, OR 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%
Risk Behavior
healthier than 82%
11%
Healthcare Access
healthier than 75%
5%
About typical
Disability
healthier than 42%
7%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Environmental Hazard
healthier than 13%
14%
Preventive Care
healthier than 37%
13%
Mental Health
healthier than 21%
8%
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Healthcare Access
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Preventive Care
healthier than 52%
13%
Risk Behavior
healthier than 50%
11%
Mental Health
healthier than 50%
8%
Disability
healthier than 45%
7%
Holding it back
Environmental Hazard
healthier than 26%
14%
Climate / Disaster Risk
healthier than 15%
5%
Lifting this score
Social Need / SDOH
in the top 0.00%
16%
Environmental Hazard
in the top 0.00%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Climate / Disaster Risk
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Disability
in the bottom 0.00%
7%
Healthcare Access
in the bottom 0.00%
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
97501
Oregonshares a border
Score 45.64
Closest healthier
97504
Oregonshares a border
Score 51.77
Similar health profile
97459
Oregon95% similar profile
Score 50.82
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 | 32.4% | 29.4–35.4 |
| High blood pressure among adults | 37.8% | 34.3–41.3 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.6–11.6 |
| Current asthma among adults | 12.3% | 10.9–13.7 |
| Coronary heart disease among adults | 8.0% | 7.2–8.9 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.5–9.8 |
| Depression among adults | 26.5% | 23.2–29.8 |
| Diagnosed diabetes among adults | 13.7% | 11.9–15.5 |
| High cholesterol among adults who have ever been screened | 35.8% | 32.1–39.4 |
| Obesity among adults | 33.6% | 28.4–38.9 |
| Stroke among adults | 4.2% | 3.8–4.5 |
| All teeth lost among adults aged >=65 years | 12.0% | 9.8–14.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.2% | 7.7–11.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.1% | 70.9–76.9 |
| Visits to doctor for routine checkup within the past year among adults | 76.4% | 72.9–79.4 |
| Cholesterol screening among adults | 85.1% | 83.0–86.9 |
| Colorectal cancer screening among adults aged 45–75 years | 64.6% | 60.1–68.8 |
| Visited dentist or dental clinic in the past year among adults | 62.0% | 58.7–65.3 |
| Mammography use among women aged 50-74 years | 76.5% | 70.1–82.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.8% | 11.5–16.3 |
| Current cigarette smoking among adults | 13.3% | 11.3–15.5 |
| No leisure-time physical activity among adults | 23.0% | 19.6–26.7 |
| Short sleep duration among adults | 33.1% | 28.6–37.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.7% | 18.2–23.4 |
| Frequent mental distress among adults | 18.1% | 16.1–20.2 |
| Frequent physical distress among adults | 15.5% | 13.8–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.9% | 13.1–16.7 |
| Any disability among adults | 32.7% | 29.0–36.5 |
| Hearing disability among adults | 8.7% | 7.7–9.7 |
| Independent living disability among adults | 9.0% | 8.0–10.1 |
| Mobility disability among adults | 16.0% | 14.0–18.1 |
| Self-care disability among adults | 4.2% | 3.7–4.6 |
| Vision disability among adults | 5.5% | 4.9–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | OR median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.9% | 10.6% (3.1–25.8%) n=32,364 | 11.7% (4.7–26.4%) n=411 |
| Uninsured 18–64 | 8.5% | 9.0% (1.5–24.3%) n=32,286 | 7.9% (0.9–19.7%) n=411 |
| No HS diploma (25+) | 4.5% | 7.9% (1.8–20.7%) n=32,505 | 7.5% (1.2–16.6%) n=412 |
| Bachelor's or higher (25+) | 31.8% | 23.3% (9.2–53.6%) n=32,505 | 23.7% (11.1–49.6%) n=412 |
| Unemployment rate (16+) | 3.4% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–10.0%) n=409 |
| Households without a vehicle | 1.4% | 3.9% (0.0–12.5%) n=32,322 | 3.3% (0.0–10.0%) n=410 |
| Broadband subscription | 92.2% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (76.7–96.9%) n=410 |
| Housing cost burden (≥30% income) | 36.2% | 23.7% (10.6–40.0%) n=32,322 | 29.9% (14.6–42.0%) n=410 |
| Homeownership rate | 72.0% | 78.7% (51.7–94.0%) n=32,322 | 73.5% (52.8–90.2%) n=410 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 2.1% (0.0–6.7%) n=410 |
| Foreign-born population | 7.8% | 2.6% (0.0–18.6%) n=32,553 | 4.0% (0.0–13.0%) n=412 |
| Single-parent households | 70.7% | 53.6% (37.3–74.1%) n=32,087 | 57.5% (43.5–77.1%) n=407 |
| Population 65+ | 32.6% | 19.4% (10.8–33.6%) n=32,553 | 22.5% (12.7–42.1%) n=412 |
| Median age | 55.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.1 yr (36.3–62.2) n=410 |
| Median household income | $66,052 | $72,070 ($46,039–$118,707) n=30,318 | $72,301 ($49,007–$109,558) n=378 |
| Median home value | $418,400 | $222,200 ($100,300–$579,820) n=30,049 | $413,900 ($238,120–$653,360) n=374 |
| Median gross rent | $1,216 | $1,021 ($677–$1,912) n=25,670 | $1,252 ($807–$1,772) n=327 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | OR median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 78.0 yr ± 0.96 | 78.9 yr (74.7–82.8) n=31,308 | 79.1 yr (76.4–82.0) n=409 |
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 0.96 years of 78.0, 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