ZIP code
32701
in Altamonte Springs, FloridaPopulation 24,592
55.87/ 100
Ranked #8,415 of 32,066 US ZIPs (top 26%)
Ranked #340 of 974 Florida ZIPs (top 35%)
Ranked #43 of 92 Orlando-Kissimmee-Sanford, FL ZIPs (top 47%)
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.
PFAS in drinking water
91.5%
in the top 0.3% nationally
Lower is healthier
ST94thUS99thDefinition & 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 ›Physician access
4.8 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST95thUS99thDefinition & source ›
The number of physicians’ offices 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 ›Humid extreme heat
181.2 days/year
in the top 1.7% nationally
Lower is healthier
ST44thUS98thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Outpatient-care access
1 per 1,000 residents
in the top 1.8% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The number of outpatient 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 ›Grocery access
0.26 per 1,000 residents
in the top 4.7% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Arsenic in groundwater
1.2%
in the bottom 4.9% nationally
Lower is healthier
ST27thUS5thDefinition & 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 ›Dental provider access
1.1 per 1,000 residents
in the top 5.3% nationally
Higher is healthier
ST91stUS95thDefinition & source ›
The number of dental offices 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 ›Loud transportation noise
2.1%
in the top 6.8% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Housing-cost burden
43.2%
in the top 6.8% nationally
Lower is healthier
ST82ndUS93rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Walkability
110 intersections/sq mi
in the top 9.0% nationally
Higher is healthier
ST88thUS91stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›The read
ZIP 32701, one of several in Altamonte Springs, Florida, in overall standing, comes out in the top 26% healthiest ZIPs nationally (8,415th) and the top 35% of Florida (340th).
A balanced showing across the data, with a few readings each side: physicians resides in the top 1.4% nationally, outpatient sits in the top 1.8% nationally, and grocery stands in the top 4.7% nationally. Modeled arsenic resides in the bottom 4.9% nationally, dental providers sits in the top 5.3% nationally, and walkability stands in the top 9.0% nationally. On the other hand, modeled pfas resides in the top 0.3% nationally, and humid heat sits in the top 1.7% nationally. Modeled loud transportation noise stands in the top 6.8% nationally, and housing-cost burden resides in the top 6.8% nationally.
Set within its surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Defined simply, for reference, 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. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. The closest healthier ZIP overall is ZIP 32707, 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 Orlando-Kissimmee-Sanford, FL 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 72%
21%
Social Need / SDOH
healthier than 81%
16%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 86%
8%
Healthcare Access
healthier than 65%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Disability
healthier than 57%
7%
Holding it back
Preventive Care
healthier than 40%
13%
Climate / Disaster Risk
healthier than 14%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 70%
16%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 63%
7%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Preventive Care
healthier than 55%
13%
Mental Health
healthier than 59%
8%
Holding it back
Environmental Hazard
healthier than 18%
14%
Healthcare Access
healthier than 40%
5%
Lifting this score
Social Need / SDOH
healthier than 69%
16%
Preventive Care
healthier than 65%
13%
Climate / Disaster Risk
healthier than 80%
5%
About typical
Risk Behavior
healthier than 59%
11%
Mental Health
healthier than 47%
8%
Healthcare Access
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Environmental Hazard
healthier than 18%
14%
Disability
healthier than 40%
7%
“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 80.0 ± 1.6 years. A median household income of $62,198 predicts 78.2 years — 1.8 years above.
Ranked #1,095 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
32707
Floridashares a border
Score 57.60
Closest healthier
32714
Floridashares a border
Score 59.29
Similar health profile
33317
Florida99% similar profile
Score 56.31
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 | 24.7% | 22.1–27.3 |
| High blood pressure among adults | 34.7% | 31.3–38.1 |
| Cancer (non-skin) or melanoma among adults | 8.4% | 7.6–9.1 |
| Current asthma among adults | 9.7% | 8.6–10.9 |
| Coronary heart disease among adults | 6.9% | 6.3–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 6.1–7.6 |
| Depression among adults | 17.1% | 14.6–19.7 |
| Diagnosed diabetes among adults | 12.5% | 11.0–14.1 |
| High cholesterol among adults who have ever been screened | 35.9% | 32.3–39.6 |
| Obesity among adults | 31.8% | 26.5–37.3 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 11.5% | 9.4–13.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.1% | 13.3–17.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.1% | 74.5–79.5 |
| Visits to doctor for routine checkup within the past year among adults | 78.3% | 75.1–81.2 |
| Cholesterol screening among adults | 86.2% | 84.5–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 67.1% | 62.6–71.4 |
| Visited dentist or dental clinic in the past year among adults | 58.3% | 54.9–61.6 |
| Mammography use among women aged 50-74 years | 77.7% | 71.0–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.7–17.9 |
| Current cigarette smoking among adults | 12.3% | 10.7–14.1 |
| No leisure-time physical activity among adults | 24.4% | 21.0–28.0 |
| Short sleep duration among adults | 37.0% | 31.7–42.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.6% | 17.5–21.9 |
| Frequent mental distress among adults | 16.3% | 14.6–18.2 |
| Frequent physical distress among adults | 13.5% | 12.0–15.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.1% | 12.6–15.6 |
| Any disability among adults | 30.7% | 27.2–34.4 |
| Hearing disability among adults | 7.0% | 6.2–7.7 |
| Independent living disability among adults | 8.2% | 7.3–9.1 |
| Mobility disability among adults | 13.9% | 12.3–15.6 |
| Self-care disability among adults | 3.9% | 3.6–4.3 |
| Vision disability among adults | 5.8% | 5.3–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.3% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 20.3% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 7.6% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 34.3% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 6.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 6.6% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 92.4% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 43.2% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 51.0% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 13.2% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 42.7% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 17.3% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 39.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $62,198 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $291,300 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,715 | $1,021 ($677–$1,912) n=25,670 | $1,604 ($968–$2,218) n=901 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.0 yr ± 0.83 | 78.9 yr (74.7–82.8) n=31,308 | 78.2 yr (74.6–82.2) n=894 |
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 0.83 years of 80.0, 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