ZIP code
80528
in Fort Collins, ColoradoPopulation 24,960
62.98/ 100
Ranked #2,979 of 32,066 US ZIPs (top 9.3%)
Ranked #101 of 502 Colorado ZIPs (top 20%)
Ranked #4 of 18 Fort Collins-Loveland, CO ZIPs (top 22%)
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.
Obesity
22.7%
in the bottom 2.7% nationally
Lower is healthier
ST13thUS3rdDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›High blood pressure
23.8%
in the bottom 2.2% nationally
Lower is healthier
ST11thUS2ndDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Diabetes
6.6%
in the bottom 2.0% nationally
Lower is healthier
ST8thUS2ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›High cholesterol
29.9%
in the bottom 3.3% nationally
Lower is healthier
ST14thUS3rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Short sleep
27.9%
in the bottom 2.9% nationally
Lower is healthier
ST19thUS3rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Mobility disability
7.8%
in the bottom 2.9% nationally
Lower is healthier
ST9thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
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 ›Energy-cost burden
1.2%
in the bottom 1.8% nationally
Lower is healthier
ST3rdUS2ndDefinition & 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 ›Coronary heart disease
4.1%
in the bottom 3.7% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Fair or poor health
11.6%
in the bottom 2.7% nationally
Lower is healthier
ST10thUS3rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
ZIP 80528, one of several in Fort Collins, Colorado, by its composite score, sits in the top 9.3% healthiest ZIPs nationally (2,979th) and the top 20% of Colorado (101st).
The measures fall on both sides for this area, fairly evenly: modeled obesity sits in the bottom 2.7% nationally, and high blood pressure lies in the bottom 2.2% nationally. Modeled diabetes rests in the bottom 2.0% nationally, and high cholesterol resides in the bottom 3.3% nationally. Modeled short sleep is in the bottom 2.9% nationally, mobility disability lands in the bottom 2.9% nationally, and energy burden stands in the bottom 1.8% nationally. Modeled coronary heart disease registers in the bottom 3.7% nationally, and fair or poor health settles in the bottom 2.7% nationally. Pulling the other way, modeled tree cover sits at the national minimum.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, energy burden is the share of household income that goes to home energy bills. For a healthier comparison close by, see ZIP 80547, 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 Fort Collins-Loveland, CO 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 96%
21%
Social Need / SDOH
healthier than 93%
16%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 62%
8%
Disability
healthier than 95%
7%
Healthcare Access
healthier than 66%
5%
About typical
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 17%
13%
Lifting this score
Chronic Disease Burden
healthier than 86%
21%
Social Need / SDOH
healthier than 90%
16%
Risk Behavior
healthier than 81%
11%
Disability
healthier than 89%
7%
Healthcare Access
healthier than 67%
5%
About typical
Mental Health
healthier than 53%
8%
Holding it back
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 38%
13%
Climate / Disaster Risk
healthier than 6%
5%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 94%
16%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 65%
5%
About typical
Risk Behavior
healthier than 41%
11%
Mental Health
healthier than 53%
8%
Holding it back
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 24%
13%
Climate / Disaster Risk
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 ›
Findings that name this ZIP
2 of our published findings list 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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 10.5; chronic-disease standing 96.2 (top 10%) — 86 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,604 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 39.8 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 83.2 ± 2.2 years.
Ranked #1,449 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
80525
Coloradoshares a border
Score 61.58
Closest healthier
80547
Coloradoshares a border
Score 66.60
Similar health profile
80021
Colorado99% similar profile
Score 63.02
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 | 21.1% | 18.9–23.4 |
| High blood pressure among adults | 23.8% | 21.2–26.4 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.3–8.7 |
| Current asthma among adults | 10.9% | 9.7–12.1 |
| Coronary heart disease among adults | 4.1% | 3.7–4.6 |
| Chronic obstructive pulmonary disease among adults | 4.1% | 3.6–4.7 |
| Depression among adults | 23.5% | 20.7–26.4 |
| Diagnosed diabetes among adults | 6.6% | 5.7–7.6 |
| High cholesterol among adults who have ever been screened | 29.9% | 27.0–33.0 |
| Obesity among adults | 22.7% | 19.2–26.5 |
| Stroke among adults | 2.2% | 2.0–2.4 |
| All teeth lost among adults aged >=65 years | 5.6% | 4.4–7.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.3% | 6.2–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.8% | 65.2–72.3 |
| Visits to doctor for routine checkup within the past year among adults | 70.3% | 66.9–73.5 |
| Cholesterol screening among adults | 86.7% | 85.1–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 61.3% | 57.1–65.4 |
| Visited dentist or dental clinic in the past year among adults | 69.7% | 66.8–72.6 |
| Mammography use among women aged 50-74 years | 68.5% | 61.3–75.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.7% | 17.1–22.6 |
| Current cigarette smoking among adults | 8.5% | 7.2–10.1 |
| No leisure-time physical activity among adults | 12.1% | 10.2–14.3 |
| Short sleep duration among adults | 27.9% | 24.2–32.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 11.6% | 10.1–13.2 |
| Frequent mental distress among adults | 15.2% | 13.4–16.9 |
| Frequent physical distress among adults | 10.3% | 9.1–11.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.9% | 10.6–13.5 |
| Any disability among adults | 22.7% | 20.0–25.6 |
| Hearing disability among adults | 5.2% | 4.6–5.8 |
| Independent living disability among adults | 5.3% | 4.7–6.0 |
| Mobility disability among adults | 7.8% | 6.8–9.0 |
| Self-care disability among adults | 2.2% | 2.0–2.5 |
| Vision disability among adults | 3.0% | 2.8–3.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.1% | 10.6% (3.1–25.8%) n=32,364 | 9.1% (2.3–21.1%) n=507 |
| Uninsured 18–64 | 3.8% | 9.0% (1.5–24.3%) n=32,286 | 9.9% (1.9–21.6%) n=503 |
| No HS diploma (25+) | 2.7% | 7.9% (1.8–20.7%) n=32,505 | 5.0% (0.0–16.3%) n=508 |
| Bachelor's or higher (25+) | 65.6% | 23.3% (9.2–53.6%) n=32,505 | 33.9% (14.8–65.1%) n=508 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 3.6% (0.0–7.7%) n=505 |
| Households without a vehicle | 2.0% | 3.9% (0.0–12.5%) n=32,322 | 2.9% (0.0–9.4%) n=507 |
| Broadband subscription | 98.5% | 89.3% (75.1–97.1%) n=32,322 | 92.5% (79.4–98.7%) n=507 |
| Housing cost burden (≥30% income) | 26.8% | 23.7% (10.6–40.0%) n=32,322 | 29.9% (15.9–42.9%) n=507 |
| Homeownership rate | 67.1% | 78.7% (51.7–94.0%) n=32,322 | 74.7% (51.5–93.8%) n=507 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.3%) n=507 |
| Foreign-born population | 11.3% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–14.6%) n=508 |
| Single-parent households | 46.8% | 53.6% (37.3–74.1%) n=32,087 | 54.4% (40.1–81.1%) n=500 |
| Population 65+ | 12.6% | 19.4% (10.8–33.6%) n=32,553 | 18.6% (9.2–36.4%) n=508 |
| Median age | 35.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.0 yr (33.4–58.2) n=502 |
| Median household income | $130,350 | $72,070 ($46,039–$118,707) n=30,318 | $84,602 ($48,743–$134,919) n=470 |
| Median home value | $705,000 | $222,200 ($100,300–$579,820) n=30,049 | $458,400 ($191,360–$800,020) n=469 |
| Median gross rent | $1,929 | $1,021 ($677–$1,912) n=25,670 | $1,534 ($828–$2,196) n=401 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CO median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 83.2 yr ± 1.12 | 78.9 yr (74.7–82.8) n=31,308 | 80.4 yr (76.8–83.2) n=466 |
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 1.12 years of 83.2, 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