ZIP code
86021
in Colorado City, ArizonaPopulation 4,842
38.76/ 100
Ranked #27,565 of 32,066 US ZIPs (bottom 14.1%)
Ranked #316 of 394 Arizona ZIPs (bottom 20%)
Ranked #16 of 24 Lake Havasu City-Kingman, AZ ZIPs (bottom 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.
Mammography
55.3%
in the bottom 0.4% nationally
Higher is healthier
ST9thUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
44.4%
in the bottom 0.7% nationally
Higher is healthier
ST9thUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Tooth loss
34.9%
in the top 1.3% nationally
Lower is healthier
ST91stUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›High cholesterol
27.3%
in the bottom 1.8% nationally
Lower is healthier
ST2ndUS2ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Distance to a Superfund site
167.2 mi
in the top 1.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Cognitive disability
22.7%
in the top 2.8% nationally
Lower is healthier
ST89thUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Binge drinking
21.5%
in the top 2.4% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›Industrial-pollution burden
in the bottom 2.6% nationally
Lower is healthier
ST6thUS3rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Crowded housing
13.5%
in the top 2.7% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
On balance, and by the composite measure, Colorado City, Arizona (ZIP 86021) ranks in the bottom 14.1% nationally (27,565th) and the bottom 20% of Arizona (316th).
The measures that press hardest set the tone here: modeled mammography sits in the bottom 0.4% nationally, and colon screening rests in the bottom 0.7% nationally. Modeled tooth loss is in the top 1.3% nationally, and cognitive disability stands in the top 2.8% nationally. Modeled binge drinking settles in the top 2.4% nationally, and crowded housing lies in the top 2.7% nationally. On the stronger side, modeled high cholesterol resides in the bottom 1.8% nationally, distance to a Superfund site lands in the top 1.5% nationally, and modeled industrial-pollution burden registers in the bottom 2.6% nationally. Modeled air-toxics cancer risk sits in the bottom 2.8% nationally.
In plainer terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. For a healthier nearby ZIP overall, look to ZIP 84737, 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 Lake Havasu City-Kingman, AZ 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 82%
21%
Environmental Hazard
in the top 0.8%
14%
Climate / Disaster Risk
healthier than 82%
5%
Holding it back
Social Need / SDOH
healthier than 9%
16%
Preventive Care
in the bottom 0.10%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 35%
7%
Healthcare Access
healthier than 32%
5%
Lifting this score
Chronic Disease Burden
healthier than 79%
21%
Environmental Hazard
healthier than 88%
14%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Disability
healthier than 47%
7%
Holding it back
Social Need / SDOH
healthier than 18%
16%
Preventive Care
in the bottom 0.6%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 2%
8%
Healthcare Access
healthier than 37%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Environmental Hazard
healthier than 74%
14%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 96%
5%
About typical
Healthcare Access
healthier than 52%
5%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
in the bottom 0.00%
8%
“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
84737
Utahshares a border
Score 56.50
Closest healthier
84741
Utahshares a border
Score 58.77
Similar health profile
79111
Texas97% similar profile
Score 37.87
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 | 17.7% | 15.8–19.6 |
| High blood pressure among adults | 24.5% | 22.0–27.2 |
| Cancer (non-skin) or melanoma among adults | 4.9% | 4.4–5.4 |
| Current asthma among adults | 12.8% | 11.3–14.5 |
| Coronary heart disease among adults | 4.3% | 3.8–4.8 |
| Chronic obstructive pulmonary disease among adults | 8.0% | 6.8–9.1 |
| Depression among adults | 27.3% | 23.8–30.9 |
| Diagnosed diabetes among adults | 6.7% | 5.9–7.7 |
| High cholesterol among adults who have ever been screened | 27.3% | 24.4–30.3 |
| Obesity among adults | 32.0% | 27.4–36.7 |
| Stroke among adults | 2.6% | 2.3–2.8 |
| All teeth lost among adults aged >=65 years | 34.9% | 30.2–39.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.7% | 10.5–16.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 58.4% | 55.2–61.5 |
| Visits to doctor for routine checkup within the past year among adults | 62.1% | 57.8–66.2 |
| Cholesterol screening among adults | 69.8% | 66.1–73.8 |
| Colorectal cancer screening among adults aged 45–75 years | 44.4% | 39.9–48.8 |
| Visited dentist or dental clinic in the past year among adults | 40.5% | 37.2–43.5 |
| Mammography use among women aged 50-74 years | 55.3% | 47.7–62.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 21.5% | 18.3–25.0 |
| Current cigarette smoking among adults | 20.7% | 17.1–24.1 |
| No leisure-time physical activity among adults | 26.4% | 22.2–30.8 |
| Short sleep duration among adults | 42.9% | 38.0–47.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.0% | 17.6–24.5 |
| Frequent mental distress among adults | 23.8% | 21.0–26.7 |
| Frequent physical distress among adults | 14.2% | 12.3–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.7% | 19.3–26.2 |
| Any disability among adults | 35.6% | 30.7–40.5 |
| Hearing disability among adults | 6.0% | 5.3–6.7 |
| Independent living disability among adults | 11.5% | 9.7–13.5 |
| Mobility disability among adults | 11.9% | 10.2–13.6 |
| Self-care disability among adults | 3.9% | 3.4–4.4 |
| Vision disability among adults | 5.9% | 5.1–6.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.0% | 26.8–35.4 |
| Food insecurity in the past 12 months among adults | 22.2% | 17.8–26.9 |
| Received food stamps in the past 12 months among adults | 19.4% | 15.8–23.6 |
| Housing insecurity in the past 12 months among adults | 15.6% | 12.9–18.5 |
| Lack of reliable transportation in the past 12 months among adults | 12.5% | 10.4–14.7 |
| Loneliness among adults | 37.6% | 33.1–42.4 |
| Utility services shut-off threat in the past 12 months among adults | 10.5% | 9.0–12.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AZ median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.1% | 10.6% (3.1–25.8%) n=32,364 | 12.8% (4.6–36.9%) n=396 |
| Uninsured 18–64 | 43.0% | 9.0% (1.5–24.3%) n=32,286 | 14.0% (5.0–32.9%) n=394 |
| No HS diploma (25+) | 19.2% | 7.9% (1.8–20.7%) n=32,505 | 9.3% (2.0–25.9%) n=397 |
| Bachelor's or higher (25+) | 21.5% | 23.3% (9.2–53.6%) n=32,505 | 23.8% (6.0–53.1%) n=397 |
| Unemployment rate (16+) | 3.2% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.3%) n=395 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.7% (0.0–14.3%) n=394 |
| Broadband subscription | 91.3% | 89.3% (75.1–97.1%) n=32,322 | 90.4% (57.1–97.2%) n=394 |
| Housing cost burden (≥30% income) | 19.4% | 23.7% (10.6–40.0%) n=32,322 | 25.5% (8.5–37.5%) n=394 |
| Homeownership rate | 61.7% | 78.7% (51.7–94.0%) n=32,322 | 76.3% (44.6–92.8%) n=394 |
| Crowded housing (>1 per room) | 13.5% | 1.3% (0.0–6.3%) n=32,322 | 3.3% (0.0–15.7%) n=394 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 7.6% (0.0–20.4%) n=397 |
| Single-parent households | 28.0% | 53.6% (37.3–74.1%) n=32,087 | 51.4% (30.6–79.7%) n=388 |
| Population 65+ | 1.4% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (8.0–46.8%) n=397 |
| Median age | 18.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.9 yr (30.0–62.5) n=394 |
| Median household income | $90,096 | $72,070 ($46,039–$118,707) n=30,318 | $69,137 ($39,000–$114,111) n=371 |
| Median home value | $395,300 | $222,200 ($100,300–$579,820) n=30,049 | $326,300 ($73,560–$591,760) n=363 |
| Median gross rent | $1,495 | $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 | 76.1 yr ± 1.22 | 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 1.22 years of 76.1, 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