ZIP code
34470
in Ocala, FloridaPopulation 22,443
46.99/ 100
Ranked #20,174 of 32,066 US ZIPs (bottom 37%)
Ranked #689 of 974 Florida ZIPs (bottom 29%)
Ranked #13 of 26 Ocala, FL ZIPs (top 50%)
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.
Arsenic in groundwater
0.87%
in the bottom 0.7% nationally
Lower is healthier
ST3rdUS1stDefinition & 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 ›PFAS in drinking water
84.7%
in the top 1.1% nationally
Lower is healthier
ST88thUS99thDefinition & 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 ›Humid extreme heat
173.3 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 ›Recreation access
1.4 per 1,000 residents
in the top 4.4% nationally
Higher is healthier
ST90thUS96thDefinition & 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 ›Child-care access
0.68 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST96thUS95thDefinition & 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 ›Mental-health provider access
0.15 per 1,000 residents
in the top 6.9% nationally
Higher is healthier
ST91stUS93rdDefinition & 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 ›Outpatient-care access
0.49 per 1,000 residents
in the top 8.2% nationally
Higher is healthier
ST78thUS92ndDefinition & 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 ›Transit access
3.4 per 1,000 residents
in the top 8.9% nationally
Higher is healthier
ST86thUS91stDefinition & 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 ›Radon
2.3 pCi/L
in the top 24% nationally
Lower is healthier
ST99thUS76thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
By its overall health score, ZIP 34470, one of several in Ocala, Florida lands in the bottom 37% nationally (20,174th) and the bottom 29% of Florida (689th).
Where this area bears down hardest, the measures speak first: modeled pfas settles in the top 1.1% nationally, and humid heat lies in the top 2.1% nationally. PFOA in drinking water resides in the top 12.3% nationally. On the encouraging side, modeled arsenic lands in the bottom 0.7% nationally, recreation registers in the top 4.4% nationally, and childcare sits in the top 5.4% nationally. Mental-health providers rests in the top 6.9% nationally, outpatient is in the top 8.2% nationally, and transit stands in the top 8.9% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of 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. PFOA in drinking water is one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Overall, the nearest healthier neighbor is ZIP 34471, 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 63%
16%
Healthcare Access
healthier than 91%
5%
About typical
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 50%
8%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Environmental Hazard
healthier than 25%
14%
Preventive Care
healthier than 34%
13%
Disability
healthier than 30%
7%
Climate / Disaster Risk
healthier than 20%
5%
Lifting this score
Climate / Disaster Risk
healthier than 79%
5%
Healthcare Access
healthier than 87%
5%
About typical
Social Need / SDOH
healthier than 41%
16%
Preventive Care
healthier than 48%
13%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Environmental Hazard
healthier than 5%
14%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 15%
8%
Disability
healthier than 34%
7%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Social Need / SDOH
healthier than 70%
16%
Disability
healthier than 70%
7%
Healthcare Access
healthier than 96%
5%
About typical
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Environmental Hazard
healthier than 4%
14%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 26%
8%
“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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 74.1 ± 1.1 years. A median household income of $52,083 predicts 77.5 years — 3.4 years below.
Ranked #4,607 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 74.1 ± 1.1 years. The 42 nearest ZIP codes with estimates average 75.9 years — 1.8 years below them.
Ranked #1,525 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
32179
Floridashares a border
Score 38.22
Closest healthier
34471
Floridashares a border
Score 52.78
Similar health profile
66720
Kansas97% similar profile
Score 45.86
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 | 29.9% | 27.1–32.8 |
| High blood pressure among adults | 38.0% | 34.6–41.5 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.2–11.0 |
| Current asthma among adults | 10.4% | 9.2–11.6 |
| Coronary heart disease among adults | 8.4% | 7.6–9.2 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.6–10.5 |
| Depression among adults | 20.8% | 18.0–23.9 |
| Diagnosed diabetes among adults | 13.6% | 12.0–15.3 |
| High cholesterol among adults who have ever been screened | 39.1% | 35.5–42.8 |
| Obesity among adults | 37.1% | 31.7–42.8 |
| Stroke among adults | 4.3% | 4.0–4.7 |
| All teeth lost among adults aged >=65 years | 16.2% | 13.5–19.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.0% | 13.3–17.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.3% | 76.7–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.7% | 76.6–82.5 |
| Cholesterol screening among adults | 85.7% | 84.0–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 68.1% | 63.7–72.2 |
| Visited dentist or dental clinic in the past year among adults | 52.9% | 49.4–56.3 |
| Mammography use among women aged 50-74 years | 73.8% | 66.8–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.1–17.2 |
| Current cigarette smoking among adults | 16.0% | 14.0–18.1 |
| No leisure-time physical activity among adults | 25.9% | 22.5–29.7 |
| Short sleep duration among adults | 39.8% | 34.8–44.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.6% | 20.2–25.2 |
| Frequent mental distress among adults | 18.4% | 16.4–20.4 |
| Frequent physical distress among adults | 16.2% | 14.5–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.9% | 14.3–17.6 |
| Any disability among adults | 34.9% | 31.3–38.7 |
| Hearing disability among adults | 8.4% | 7.6–9.3 |
| Independent living disability among adults | 9.9% | 8.9–10.9 |
| Mobility disability among adults | 17.6% | 15.7–19.7 |
| Self-care disability among adults | 4.8% | 4.4–5.3 |
| Vision disability among adults | 6.7% | 6.2–7.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.7% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 19.0% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 9.5% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 26.1% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 6.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 8.5% | 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) | 32.5% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 63.0% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 3.0% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 6.5% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 49.9% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 24.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 41.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $52,083 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $189,600 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,138 | $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 | 74.1 yr ± 0.54 | 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 0.54 years of 74.1, 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