ZIP code
86322
in Camp Verde, ArizonaPopulation 13,020
44.40/ 100
Ranked #23,011 of 32,066 US ZIPs (bottom 28%)
Ranked #270 of 394 Arizona ZIPs (bottom 31%)
Ranked #24 of 27 Prescott Valley-Prescott, AZ ZIPs (bottom 11.2%)
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.
Arsenic in groundwater
91%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Mammography
60.9%
in the bottom 0.9% nationally
Higher is healthier
ST16thUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Park land
91.2%
in the top 0.3% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›PFAS in drinking water
70.9%
in the top 4.2% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Lithium in drinking water
67 µg/L
in the top 7.0% nationally
Lower is healthier
ST48thUS93rdDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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 ›Colon-cancer screening
58.1%
in the bottom 9.5% nationally
Higher is healthier
ST39thUS9thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
By the composite health measure, Camp Verde, Arizona (ZIP 86322) ranks in the bottom 28% nationally (23,011th) and the bottom 31% of Arizona (270th).
A number of measures mark where this area is under strain: modeled arsenic lands at the national maximum, and mammography sits in the bottom 0.9% nationally. Modeled pfas is in the top 4.2% nationally, and lithium in drinking water settles in the top 7.0% nationally. Modeled hearing disability resides in the top 10.1% nationally, modeled colon screening registers in the bottom 9.5% nationally, and crowded housing rests in the top 13.5% nationally. On the brighter side, park land stands in the top 0.3% nationally, and subsidized affordable housing lies in the top 11.0% nationally. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs.
Read against the ZIPs closest to it, arsenic runs far higher than the surrounding ZIPs on this measure. To spell things out, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Close by, ZIP 85541, just across the boundary, ranks 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
Mental Health
healthier than 66%
8%
About typical
Social Need / SDOH
healthier than 54%
16%
Environmental Hazard
healthier than 55%
14%
Risk Behavior
healthier than 58%
11%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Preventive Care
healthier than 8%
13%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 37%
5%
Lifting this score
Climate / Disaster Risk
healthier than 66%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Healthcare Access
healthier than 40%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 34%
13%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 31%
8%
Disability
healthier than 30%
7%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 42%
21%
Healthcare Access
healthier than 46%
5%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Environmental Hazard
healthier than 8%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 15%
7%
Climate / Disaster Risk
healthier than 12%
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
85541
Arizonashares a border
Score 50.87
Closest healthier
85544
Arizonashares a border
Score 53.22
Similar health profile
83624
Idaho94% similar profile
Score 43.65
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 | 33.0% | 30.4–35.9 |
| High blood pressure among adults | 37.9% | 34.9–41.2 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.2–12.3 |
| Current asthma among adults | 11.8% | 10.5–13.2 |
| Coronary heart disease among adults | 9.1% | 8.1–10.2 |
| Chronic obstructive pulmonary disease among adults | 10.9% | 9.6–12.5 |
| Depression among adults | 21.1% | 18.5–24.0 |
| Diagnosed diabetes among adults | 13.0% | 11.4–14.8 |
| High cholesterol among adults who have ever been screened | 39.8% | 36.7–43.1 |
| Obesity among adults | 29.8% | 25.5–34.4 |
| Stroke among adults | 5.0% | 4.5–5.5 |
| All teeth lost among adults aged >=65 years | 17.7% | 15.0–20.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.3% | 11.2–15.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.1% | 74.3–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 74.5% | 71.3–77.5 |
| Cholesterol screening among adults | 85.2% | 83.3–86.9 |
| Colorectal cancer screening among adults aged 45–75 years | 58.1% | 54.0–62.1 |
| Visited dentist or dental clinic in the past year among adults | 52.9% | 49.7–56.1 |
| Mammography use among women aged 50-74 years | 60.9% | 54.1–67.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.3–17.0 |
| Current cigarette smoking among adults | 16.4% | 14.1–18.8 |
| No leisure-time physical activity among adults | 26.2% | 22.7–29.7 |
| Short sleep duration among adults | 35.3% | 31.3–39.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.6% | 21.9–27.6 |
| Frequent mental distress among adults | 16.4% | 14.6–18.4 |
| Frequent physical distress among adults | 17.3% | 15.4–19.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.2% | 14.4–18.2 |
| Any disability among adults | 39.3% | 35.6–43.0 |
| Hearing disability among adults | 10.9% | 9.7–12.1 |
| Independent living disability among adults | 10.1% | 9.0–11.4 |
| Mobility disability among adults | 19.7% | 17.4–22.2 |
| Self-care disability among adults | 5.3% | 4.7–5.9 |
| Vision disability among adults | 7.1% | 6.3–7.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.6% | 23.6–29.7 |
| Food insecurity in the past 12 months among adults | 17.4% | 14.9–19.9 |
| Received food stamps in the past 12 months among adults | 14.1% | 11.8–16.3 |
| Housing insecurity in the past 12 months among adults | 12.6% | 10.9–14.4 |
| Lack of reliable transportation in the past 12 months among adults | 9.4% | 8.3–10.7 |
| Loneliness among adults | 30.4% | 26.9–33.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.1–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AZ median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.9% | 10.6% (3.1–25.8%) n=32,364 | 12.8% (4.6–36.9%) n=396 |
| Uninsured 18–64 | 17.4% | 9.0% (1.5–24.3%) n=32,286 | 14.0% (5.0–32.9%) n=394 |
| No HS diploma (25+) | 11.4% | 7.9% (1.8–20.7%) n=32,505 | 9.3% (2.0–25.9%) n=397 |
| Bachelor's or higher (25+) | 20.3% | 23.3% (9.2–53.6%) n=32,505 | 23.8% (6.0–53.1%) n=397 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.3%) n=395 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–14.3%) n=394 |
| Broadband subscription | 86.0% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (57.1–97.2%) n=394 |
| Housing cost burden (≥30% income) | 22.0% | 23.7% (10.6–40.0%) n=32,322 | 25.5% (8.5–37.5%) n=394 |
| Homeownership rate | 76.5% | 78.7% (51.7–94.0%) n=32,322 | 76.3% (44.6–92.8%) n=394 |
| Crowded housing (>1 per room) | 5.1% | 1.3% (0.0–6.3%) n=32,322 | 3.3% (0.0–15.7%) n=394 |
| Foreign-born population | 2.1% | 2.6% (0.0–18.6%) n=32,553 | 7.6% (0.0–20.4%) n=397 |
| Single-parent households | 59.3% | 53.6% (37.3–74.1%) n=32,087 | 51.4% (30.6–79.7%) n=388 |
| Population 65+ | 26.9% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (8.0–46.8%) n=397 |
| Median age | 42.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.9 yr (30.0–62.5) n=394 |
| Median household income | $69,411 | $72,070 ($46,039–$118,707) n=30,318 | $69,137 ($39,000–$114,111) n=371 |
| Median home value | $323,500 | $222,200 ($100,300–$579,820) n=30,049 | $326,300 ($73,560–$591,760) n=363 |
| Median gross rent | $1,066 | $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 | 78.9 yr ± 1.20 | 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 1.20 years of 78.9, 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