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ZipVitals

ZIP code

32806

in Orlando, FloridaPopulation 26,096

62.90/ 100

Ranked #3,034 of 32,066 US ZIPs (top 9.5%)

Ranked #104 of 974 Florida ZIPs (top 10.7%)

Ranked #14 of 92 Orlando-Kissimmee-Sanford, FL ZIPs (top 15%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Physician access

11 per 1,000 residents

in the top 0.3% nationally

Higher is healthier

ST99th
US99th
Definition & 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 ›

Outpatient-care access

1.2 per 1,000 residents

in the top 1.3% nationally

Higher is healthier

ST97th
US99th
Definition & 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 ›

Pharmacy access

0.64 per 1,000 residents

in the top 2.9% nationally

Higher is healthier

ST97th
US97th
Definition & 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 ›

Recreation access

1.4 per 1,000 residents

in the top 3.9% nationally

Higher is healthier

ST91st
US96th
Definition & source ›

The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›

Dental provider access

1.2 per 1,000 residents

in the top 4.7% nationally

Higher is healthier

ST92nd
US95th
Definition & 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 ›

Transit access

4.4 per 1,000 residents

in the top 6.3% nationally

Higher is healthier

ST92nd
US94th
Definition & 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 ›

Civic-institution access

0.79 per 1,000 residents

in the top 6.4% nationally

Higher is healthier

ST92nd
US94th
Definition & source ›

The number of civic and social organizations 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 ›

Walkability

130 intersections/sq mi

in the top 7.1% nationally

Higher is healthier

ST92nd
US93rd
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Energy-cost burden

1.6%

in the bottom 6.3% nationally

Lower is healthier

ST15th
US6th
Definition & 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 ›

Child-care access

0.53 per 1,000 residents

in the top 9.5% nationally

Higher is healthier

ST91st
US91st
Definition & source ›

The number of child day-care services 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 ›

The read

ZIP 32806, one of several in Orlando, Florida, by its composite score, sits in the top 9.5% healthiest ZIPs nationally (3,034th) and the top 10.7% of Florida (104th).

continue reading

The data opens on a genuinely even set of readings: physicians stands in the top 0.3% nationally, and outpatient registers in the top 1.3% nationally. Pharmacy settles in the top 2.9% nationally, and recreation sits in the top 3.9% nationally. Dental providers lies in the top 4.7% nationally. Distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs. Transit resides in the top 6.3% nationally, civic is in the top 6.4% nationally, and walkability lands in the top 7.1% nationally. Modeled energy burden stands in the bottom 6.3% nationally.

Next to the surrounding area, physicians 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 32801, 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 88%

21%

Social Need / SDOH

healthier than 95%

16%

Risk Behavior

healthier than 74%

11%

Mental Health

healthier than 87%

8%

Disability

healthier than 87%

7%

Healthcare Access

healthier than 80%

5%

About typical

Environmental Hazard

healthier than 44%

14%

Preventive Care

healthier than 46%

13%

Holding it back

Climate / Disaster Risk

healthier than 38%

5%

Lifting this score

Chronic Disease Burden

healthier than 89%

21%

Social Need / SDOH

healthier than 95%

16%

Preventive Care

healthier than 60%

13%

Risk Behavior

healthier than 69%

11%

Mental Health

healthier than 63%

8%

Disability

healthier than 92%

7%

Climate / Disaster Risk

healthier than 96%

5%

Healthcare Access

healthier than 68%

5%

Holding it back

Environmental Hazard

healthier than 17%

14%

Lifting this score

Chronic Disease Burden

healthier than 78%

21%

Social Need / SDOH

healthier than 93%

16%

Preventive Care

healthier than 70%

13%

Risk Behavior

healthier than 71%

11%

Mental Health

healthier than 62%

8%

Disability

healthier than 81%

7%

Climate / Disaster Risk

in the top 0.00%

5%

Healthcare Access

healthier than 68%

5%

Holding it back

Environmental Hazard

healthier than 16%

14%

“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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 78.2 ± 1.1 years. A median household income of $89,046 predicts 79.6 years — 1.4 years below.

    Ranked #1,728 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults21.8%19.4–24.3
High blood pressure among adults30.0%26.8–33.2
Cancer (non-skin) or melanoma among adults8.4%7.6–9.2
Current asthma among adults9.0%8.0–10.1
Coronary heart disease among adults5.4%4.9–6.0
Chronic obstructive pulmonary disease among adults5.3%4.8–5.9
Depression among adults18.0%15.4–20.7
Diagnosed diabetes among adults9.3%8.1–10.6
High cholesterol among adults who have ever been screened36.3%32.8–39.9
Obesity among adults30.2%25.4–35.1
Stroke among adults2.7%2.5–2.9
All teeth lost among adults aged >=65 years8.1%6.6–9.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.9%9.6–12.4
Taking medicine to control high blood pressure among adults with high blood pressure74.6%71.6–77.4
Visits to doctor for routine checkup within the past year among adults76.4%73.1–79.5
Cholesterol screening among adults87.6%86.0–89.0
Colorectal cancer screening among adults aged 45–75 years66.8%62.6–70.9
Visited dentist or dental clinic in the past year among adults63.8%60.7–66.8
Mammography use among women aged 50-74 years76.8%70.3–82.7
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.7%14.0–19.5
Current cigarette smoking among adults10.5%9.1–12.0
No leisure-time physical activity among adults19.1%16.3–21.9
Short sleep duration among adults37.4%33.1–42.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults14.9%13.1–16.7
Frequent mental distress among adults15.3%13.6–17.1
Frequent physical distress among adults11.7%10.4–13.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults12.1%10.8–13.5
Any disability among adults24.9%21.9–28.0
Hearing disability among adults5.7%5.1–6.4
Independent living disability among adults6.3%5.7–7.0
Mobility disability among adults10.3%9.0–11.7
Self-care disability among adults2.8%2.6–3.1
Vision disability among adults4.1%3.7–4.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)FL median (p10–p90)
Poverty rate8.3%10.6% (3.1–25.8%) n=32,36411.4% (5.3–23.2%) n=972
Uninsured 18–6410.5%9.0% (1.5–24.3%) n=32,28615.9% (7.1–27.2%) n=968
No HS diploma (25+)4.7%7.9% (1.8–20.7%) n=32,5058.7% (2.9–20.6%) n=977
Bachelor's or higher (25+)53.9%23.3% (9.2–53.6%) n=32,50529.1% (12.7–56.0%) n=977
Unemployment rate (16+)3.7%3.9% (0.0–9.8%) n=32,2744.4% (1.8–7.7%) n=968
Households without a vehicle4.9%3.9% (0.0–12.5%) n=32,3224.3% (1.2–11.0%) n=972
Broadband subscription94.7%89.3% (75.1–97.1%) n=32,32291.9% (83.2–96.9%) n=972
Housing cost burden (≥30% income)35.0%23.7% (10.6–40.0%) n=32,32233.2% (20.1–47.6%) n=972
Homeownership rate69.5%78.7% (51.7–94.0%) n=32,32274.9% (47.3–90.5%) n=972
Crowded housing (>1 per room)1.3%1.3% (0.0–6.3%) n=32,3222.2% (0.2–6.7%) n=972
Foreign-born population10.6%2.6% (0.0–18.6%) n=32,55311.5% (2.3–39.9%) n=977
Single-parent households49.4%53.6% (37.3–74.1%) n=32,08752.8% (38.7–75.3%) n=968
Population 65+15.3%19.4% (10.8–33.6%) n=32,55320.4% (11.9–40.6%) n=977
Median age41.1 yr42.2 yr (33.0–56.3) n=32,29243.0 yr (35.1–59.8) n=972
Median household income$89,046$72,070 ($46,039–$118,707) n=30,318$72,857 ($48,246–$112,420) n=946
Median home value$441,300$222,200 ($100,300–$579,820) n=30,049$334,600 ($168,120–$631,410) n=932
Median gross rent$1,552$1,021 ($677–$1,912) n=25,670$1,604 ($968–$2,218) n=901
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)FL median (p10–p90)
Life expectancy at birth78.2 yr ± 0.5578.9 yr (74.7–82.8) n=31,30878.2 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 0.55 years of 78.2, and it’s very unlikely to be off by more than twice that.

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