ZIP code
32809
in Orlando, FloridaPopulation 29,237
47.20/ 100
Ranked #19,921 of 32,066 US ZIPs (bottom 38%)
Ranked #681 of 974 Florida ZIPs (bottom 30%)
Ranked #79 of 92 Orlando-Kissimmee-Sanford, FL ZIPs (bottom 14.2%)
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.
Uninsured (under 65)
26.5%
in the top 1.9% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Humid extreme heat
185.3 days/year
in the top 1.4% nationally
Lower is healthier
ST55thUS99thDefinition & 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 ›Transit access
5.7 per 1,000 residents
in the top 4.0% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of public-transit stops 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 ›Short sleep
43.3%
in the top 5.8% nationally
Lower is healthier
ST92ndUS94thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Grocery access
0.24 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST96thUS95thDefinition & 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 ›Housing-cost burden
45.1%
in the top 5.5% nationally
Lower is healthier
ST87thUS95thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Pharmacy access
0.47 per 1,000 residents
in the top 5.7% nationally
Higher is healthier
ST94thUS94thDefinition & source ›
The number of pharmacies 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 ›Colon-cancer screening
56.8%
in the bottom 7.1% nationally
Higher is healthier
ST5thUS7thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Vision disability
8.8%
in the top 8.3% nationally
Lower is healthier
ST89thUS92ndDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Subsidized affordable housing
310 units
in the top 7.9% nationally
Higher is healthier
ST81stUS92ndDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›The read
ZIP 32809, one of several in Orlando, Florida, by its composite score, sits in the bottom 38% nationally (19,921st) and the bottom 30% of Florida (681st).
The measures that define this area's challenges come through directly: modeled uninsured stands in the top 1.9% nationally, and humid heat registers in the top 1.4% nationally. Modeled short sleep settles in the top 5.8% nationally, and housing-cost burden sits in the top 5.5% nationally. Modeled colon screening lies in the bottom 7.1% nationally, and vision disability rests in the top 8.3% nationally. On the stronger side, transit resides in the top 4.0% nationally, grocery is in the top 5.4% nationally, and pharmacy lands in the top 5.7% nationally. Subsidized affordable housing stands in the top 7.9% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. For a healthier comparison close by, see ZIP 32806, 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%
Mental Health
healthier than 83%
8%
Healthcare Access
healthier than 81%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Holding it back
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 22%
11%
Disability
healthier than 28%
7%
Climate / Disaster Risk
healthier than 9%
5%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Healthcare Access
healthier than 69%
5%
About typical
Mental Health
healthier than 55%
8%
Climate / Disaster Risk
healthier than 47%
5%
Holding it back
Social Need / SDOH
healthier than 30%
16%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 19%
11%
Disability
healthier than 30%
7%
Lifting this score
Healthcare Access
healthier than 73%
5%
About typical
Climate / Disaster Risk
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 40%
8%
Disability
healthier than 16%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
32806
Floridashares a border
Score 62.90
Closest healthier
32812
Floridashares a border
Score 54.81
Similar health profile
33461
Florida98% similar profile
Score 49.28
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 | 21.3% | 18.9–23.8 |
| High blood pressure among adults | 34.0% | 30.7–37.3 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.3–6.4 |
| Current asthma among adults | 9.0% | 8.0–10.1 |
| Coronary heart disease among adults | 6.5% | 5.8–7.1 |
| Chronic obstructive pulmonary disease among adults | 6.6% | 5.9–7.3 |
| Depression among adults | 16.3% | 13.9–18.7 |
| Diagnosed diabetes among adults | 14.5% | 12.7–16.2 |
| High cholesterol among adults who have ever been screened | 37.0% | 33.5–40.5 |
| Obesity among adults | 37.4% | 32.2–42.7 |
| Stroke among adults | 3.6% | 3.3–3.8 |
| All teeth lost among adults aged >=65 years | 16.4% | 13.7–19.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 26.5% | 23.7–29.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.0% | 71.0–76.7 |
| Visits to doctor for routine checkup within the past year among adults | 74.8% | 71.3–77.9 |
| Cholesterol screening among adults | 83.1% | 81.2–84.9 |
| Colorectal cancer screening among adults aged 45–75 years | 56.8% | 52.4–61.4 |
| Visited dentist or dental clinic in the past year among adults | 47.9% | 44.7–51.1 |
| Mammography use among women aged 50-74 years | 72.2% | 65.1–78.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 11.7–16.6 |
| Current cigarette smoking among adults | 14.7% | 12.8–16.6 |
| No leisure-time physical activity among adults | 32.2% | 28.2–36.1 |
| Short sleep duration among adults | 43.3% | 38.8–48.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.4% | 23.6–29.0 |
| Frequent mental distress among adults | 17.4% | 15.5–19.3 |
| Frequent physical distress among adults | 15.9% | 14.1–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.2% | 15.5–19.0 |
| Any disability among adults | 34.1% | 30.4–37.8 |
| Hearing disability among adults | 6.6% | 5.8–7.3 |
| Independent living disability among adults | 9.7% | 8.7–10.7 |
| Mobility disability among adults | 15.9% | 14.0–17.7 |
| Self-care disability among adults | 5.3% | 4.8–5.7 |
| Vision disability among adults | 8.8% | 8.0–9.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.5% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 26.0% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 21.1% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 20.8% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 10.1% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 90.8% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 45.1% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 53.1% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 6.9% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 33.7% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 40.0% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 15.7% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 39.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $57,879 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $323,800 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,472 | $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 | 78.5 yr ± 0.77 | 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 0.77 years of 78.5, 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