ZIP code
34471
in Ocala, FloridaPopulation 28,342
52.78/ 100
Ranked #12,399 of 32,066 US ZIPs (top 39%)
Ranked #478 of 974 Florida ZIPs (top 49%)
Ranked #3 of 26 Ocala, FL ZIPs (top 11.6%)
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.
Physician access
10 per 1,000 residents
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & 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
1.5 per 1,000 residents
in the top 0.8% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Dental provider access
2 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST98thUS99thDefinition & 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 ›Arsenic in groundwater
0.96%
in the bottom 1.5% nationally
Lower is healthier
ST7thUS1stDefinition & 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 ›Humid extreme heat
173.1 days/year
in the top 2.1% nationally
Lower is healthier
ST31stUS98thDefinition & 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 ›Subsidized affordable housing
700 units
in the top 2.8% nationally
Higher is healthier
ST93rdUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›PFAS in drinking water
75%
in the top 3.1% nationally
Lower is healthier
ST79thUS97thDefinition & 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 ›Recreation access
1.3 per 1,000 residents
in the top 4.6% nationally
Higher is healthier
ST89thUS95thDefinition & 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 ›Mental-health provider access
0.18 per 1,000 residents
in the top 5.0% nationally
Higher is healthier
ST93rdUS95thDefinition & source ›
The number of mental-health 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 ›Civic-institution access
0.83 per 1,000 residents
in the top 5.8% nationally
Higher is healthier
ST93rdUS94thDefinition & 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 ›The read
On balance, and by the composite measure, ZIP 34471, one of several in Ocala, Florida ranks in the top 39% healthiest ZIPs nationally (12,399th) and the top 49% of Florida (478th).
Neither strongly one way nor the other, the measures sit mixed: physicians rests in the top 0.3% nationally, and outpatient is in the top 0.8% nationally. Dental providers stands in the top 1.2% nationally, and modeled arsenic settles in the bottom 1.5% nationally. Subsidized affordable housing lies in the top 2.8% nationally, recreation resides in the top 4.6% nationally, and mental-health providers lands in the top 5.0% nationally. Distance to an emergency room registers at the national minimum, shared with about 11% of ZIPs. Against that, modeled humid heat sits in the top 2.1% nationally, and pfas rests in the top 3.1% nationally.
Compared with the ZIPs it borders, physicians runs far higher than the surrounding ZIPs on this measure. In plainer terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier nearby ZIP overall, look to ZIP 34476, 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 Ocala, FL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 94%
16%
Mental Health
healthier than 71%
8%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Preventive Care
healthier than 47%
13%
Risk Behavior
healthier than 60%
11%
Disability
healthier than 42%
7%
Holding it back
Environmental Hazard
healthier than 23%
14%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Social Need / SDOH
healthier than 94%
16%
Preventive Care
healthier than 61%
13%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Risk Behavior
healthier than 53%
11%
Disability
healthier than 48%
7%
Holding it back
Environmental Hazard
healthier than 4%
14%
Mental Health
healthier than 36%
8%
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
in the top 0.00%
16%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 65%
8%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 70%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Preventive Care
healthier than 48%
13%
Holding it back
Environmental Hazard
in the bottom 0.00%
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 76.5 ± 1.0 years. A median household income of $65,789 predicts 78.4 years — 1.9 years below.
Ranked #2,530 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
34470
Floridashares a border
Score 46.99
Closest healthier
34476
Floridashares a border
Score 54.02
Similar health profile
67748
Kansas95% similar profile
Score 51.04
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 | 28.9% | 26.1–31.8 |
| High blood pressure among adults | 36.8% | 33.5–40.4 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.5–11.4 |
| Current asthma among adults | 9.8% | 8.7–11.0 |
| Coronary heart disease among adults | 7.9% | 7.2–8.8 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.3–9.0 |
| Depression among adults | 19.6% | 16.9–22.5 |
| Diagnosed diabetes among adults | 12.8% | 11.3–14.5 |
| High cholesterol among adults who have ever been screened | 38.6% | 35.0–42.4 |
| Obesity among adults | 35.0% | 29.8–40.5 |
| Stroke among adults | 4.1% | 3.8–4.5 |
| All teeth lost among adults aged >=65 years | 15.2% | 12.7–17.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.5% | 12.0–15.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 77.1–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.1% | 77.0–82.9 |
| Cholesterol screening among adults | 86.9% | 85.3–88.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.9% | 64.6–72.9 |
| Visited dentist or dental clinic in the past year among adults | 56.9% | 53.5–60.1 |
| Mammography use among women aged 50-74 years | 74.3% | 67.5–80.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.5–17.7 |
| Current cigarette smoking among adults | 13.7% | 11.9–15.5 |
| No leisure-time physical activity among adults | 23.8% | 20.5–27.4 |
| Short sleep duration among adults | 38.5% | 33.5–43.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 18.1–22.8 |
| Frequent mental distress among adults | 16.9% | 15.1–18.9 |
| Frequent physical distress among adults | 14.9% | 13.3–16.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.2% | 12.7–15.9 |
| Any disability among adults | 32.6% | 29.0–36.2 |
| Hearing disability among adults | 8.2% | 7.3–9.1 |
| Independent living disability among adults | 8.9% | 7.9–9.9 |
| Mobility disability among adults | 16.3% | 14.4–18.3 |
| Self-care disability among adults | 4.4% | 4.0–4.8 |
| Vision disability among adults | 6.2% | 5.7–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.6% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 17.7% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 6.5% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 36.2% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 3.9% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 8.4% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 91.6% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 38.4% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 61.6% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 8.9% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 49.7% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 24.1% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 42.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $65,789 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $317,900 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,396 | $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 | 76.5 yr ± 0.50 | 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 0.50 years of 76.5, 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