ZIP code
86351
in Sedona, ArizonaPopulation 6,721
60.56/ 100
Ranked #4,437 of 32,066 US ZIPs (top 13.9%)
Ranked #61 of 394 Arizona ZIPs (top 15%)
Ranked #4 of 27 Prescott Valley-Prescott, AZ ZIPs (top 14.9%)
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.
Loneliness
24.8%
in the bottom 0.3% nationally
Lower is healthier
ST2ndUS1stDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Park land
84.6%
in the top 0.5% nationally
Higher is healthier
ST94thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Housing insecurity
5.5%
in the bottom 1.4% nationally
Lower is healthier
ST5thUS1stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Mental-health provider access
0.31 per 1,000 residents
in the top 1.9% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of mental-health 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 ›Utility shut-off threat
3.7%
in the bottom 2.3% nationally
Lower is healthier
ST6thUS2ndDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Obesity
24.6%
in the bottom 5.0% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Binge drinking
10.9%
in the bottom 2.9% nationally
Lower is healthier
ST10thUS3rdDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Lack of transportation
4.5%
in the bottom 3.8% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Short sleep
28.3%
in the bottom 3.8% nationally
Lower is healthier
ST2ndUS4thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Food insecurity
7.4%
in the bottom 5.0% nationally
Lower is healthier
ST6thUS5thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›The read
ZIP 86351, one of several in Sedona, Arizona, overall, ranks in the top 13.9% healthiest ZIPs nationally (4,437th) and the top 15% of Arizona (61st).
Taken together, the data gives a genuinely mixed reading: modeled loneliness is in the bottom 0.3% nationally, park land sits in the top 0.5% nationally, and modeled housing insecurity lands in the bottom 1.4% nationally. Mental-health providers lies in the top 1.9% nationally, modeled utility shutoff stands in the bottom 2.3% nationally, and modeled obesity rests in the bottom 5.0% nationally. Modeled binge drinking registers in the bottom 2.9% nationally, and transportation resides in the bottom 3.8% nationally. Modeled short sleep settles in the bottom 3.8% nationally, and food insecurity is in the bottom 5.0% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. ZIP 86336, just across the boundary, comes out healthier overall.
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 Prescott Valley-Prescott, 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 95%
16%
Preventive Care
healthier than 88%
13%
Risk Behavior
in the top 1.0%
11%
Mental Health
healthier than 99%
8%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Disability
healthier than 51%
7%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Environmental Hazard
healthier than 39%
14%
Healthcare Access
healthier than 27%
5%
Lifting this score
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 65%
7%
Climate / Disaster Risk
healthier than 79%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Environmental Hazard
healthier than 22%
14%
Healthcare Access
healthier than 34%
5%
Lifting this score
Social Need / SDOH
healthier than 96%
16%
Preventive Care
in the top 0.00%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Environmental Hazard
in the bottom 0.00%
14%
Healthcare Access
healthier than 35%
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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 83.3 ± 3.4 years. A median household income of $81,203 predicts 79.3 years — 4.1 years above.
Ranked #180 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
86325
Arizonashares a border
Score 57.50
Closest healthier
86336
Arizonashares a border
Score 61.21
Similar health profile
34236
Florida98% similar profile
Score 62.94
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 | 38.8% | 35.5–42.2 |
| High blood pressure among adults | 42.1% | 38.6–45.8 |
| Cancer (non-skin) or melanoma among adults | 16.9% | 15.3–18.4 |
| Current asthma among adults | 10.4% | 9.2–11.7 |
| Coronary heart disease among adults | 9.7% | 8.5–10.9 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 7.5–10.8 |
| Depression among adults | 17.4% | 15.1–19.9 |
| Diagnosed diabetes among adults | 12.5% | 10.8–14.4 |
| High cholesterol among adults who have ever been screened | 45.3% | 41.8–49.1 |
| Obesity among adults | 24.6% | 20.8–28.8 |
| Stroke among adults | 4.8% | 4.3–5.5 |
| All teeth lost among adults aged >=65 years | 7.5% | 6.1–8.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.4–8.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.1% | 80.3–85.7 |
| Visits to doctor for routine checkup within the past year among adults | 82.4% | 80.0–84.8 |
| Cholesterol screening among adults | 93.2% | 92.1–94.1 |
| Colorectal cancer screening among adults aged 45–75 years | 72.3% | 68.7–75.7 |
| Visited dentist or dental clinic in the past year among adults | 68.4% | 65.6–71.2 |
| Mammography use among women aged 50-74 years | 69.4% | 63.2–75.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 10.9% | 9.2–12.9 |
| Current cigarette smoking among adults | 8.9% | 7.2–11.0 |
| No leisure-time physical activity among adults | 19.9% | 16.6–23.6 |
| Short sleep duration among adults | 28.3% | 24.7–32.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.6% | 15.0–20.9 |
| Frequent mental distress among adults | 10.8% | 9.5–12.3 |
| Frequent physical distress among adults | 14.3% | 12.5–16.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.9% | 8.5–11.5 |
| Any disability among adults | 33.9% | 30.0–38.2 |
| Hearing disability among adults | 11.6% | 10.2–13.1 |
| Independent living disability among adults | 7.0% | 5.9–8.3 |
| Mobility disability among adults | 17.5% | 14.9–20.5 |
| Self-care disability among adults | 3.8% | 3.2–4.5 |
| Vision disability among adults | 4.8% | 4.2–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.2% | 17.6–23.2 |
| Food insecurity in the past 12 months among adults | 7.4% | 5.9–9.2 |
| Received food stamps in the past 12 months among adults | 5.4% | 4.2–6.9 |
| Housing insecurity in the past 12 months among adults | 5.5% | 4.6–6.6 |
| Lack of reliable transportation in the past 12 months among adults | 4.5% | 3.8–5.3 |
| Loneliness among adults | 24.8% | 21.7–28.2 |
| Utility services shut-off threat in the past 12 months among adults | 3.7% | 3.1–4.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AZ median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.4% | 10.6% (3.1–25.8%) n=32,364 | 12.8% (4.6–36.9%) n=396 |
| Uninsured 18–64 | 19.8% | 9.0% (1.5–24.3%) n=32,286 | 14.0% (5.0–32.9%) n=394 |
| No HS diploma (25+) | 2.5% | 7.9% (1.8–20.7%) n=32,505 | 9.3% (2.0–25.9%) n=397 |
| Bachelor's or higher (25+) | 52.7% | 23.3% (9.2–53.6%) n=32,505 | 23.8% (6.0–53.1%) n=397 |
| Unemployment rate (16+) | 2.4% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.3%) n=395 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–14.3%) n=394 |
| Broadband subscription | 95.8% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (57.1–97.2%) n=394 |
| Housing cost burden (≥30% income) | 29.7% | 23.7% (10.6–40.0%) n=32,322 | 25.5% (8.5–37.5%) n=394 |
| Homeownership rate | 70.2% | 78.7% (51.7–94.0%) n=32,322 | 76.3% (44.6–92.8%) n=394 |
| Crowded housing (>1 per room) | 0.8% | 1.3% (0.0–6.3%) n=32,322 | 3.3% (0.0–15.7%) n=394 |
| Foreign-born population | 11.0% | 2.6% (0.0–18.6%) n=32,553 | 7.6% (0.0–20.4%) n=397 |
| Single-parent households | 84.3% | 53.6% (37.3–74.1%) n=32,087 | 51.4% (30.6–79.7%) n=388 |
| Population 65+ | 59.6% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (8.0–46.8%) n=397 |
| Median age | 68.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.9 yr (30.0–62.5) n=394 |
| Median household income | $81,203 | $72,070 ($46,039–$118,707) n=30,318 | $69,137 ($39,000–$114,111) n=371 |
| Median home value | $738,000 | $222,200 ($100,300–$579,820) n=30,049 | $326,300 ($73,560–$591,760) n=363 |
| Median gross rent | $1,786 | $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 at birth | 83.3 yr ± 1.76 | 78.9 yr (74.7–82.8) n=31,308 | 78.5 yr (75.1–82.8) n=354 |
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 1.76 years of 83.3, 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