ZIP code
33135
in Miami, FloridaPopulation 36,143
47.77/ 100
Ranked #19,225 of 32,066 US ZIPs (bottom 40%)
Ranked #662 of 974 Florida ZIPs (bottom 32%)
Ranked #157 of 183 Miami-Fort Lauderdale-West Palm Beach, FL ZIPs (bottom 14.3%)
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)
37.7%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Vision disability
12.9%
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Outpatient-care access
1.2 per 1,000 residents
in the top 1.3% nationally
Higher is healthier
ST97thUS99thDefinition & 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 ›Housing-cost burden
59%
in the top 1.3% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Colon-cancer screening
52.9%
in the bottom 3.4% nationally
Higher is healthier
ST1stUS3rdDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Homeownership rate
22.7%
in the bottom 2.2% nationally
Higher is healthier
ST2ndUS2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Grocery access
0.41 per 1,000 residents
in the top 2.2% nationally
Higher is healthier
ST99thUS98thDefinition & 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 ›Walkability
210 intersections/sq mi
in the top 2.3% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Diabetes
19.9%
in the top 3.9% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Self-care disability
7.3%
in the top 4.7% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›The read
On the composite measure, ZIP 33135, one of several in Miami, Florida stands in the bottom 40% nationally (19,225th) and the bottom 32% of Florida (662nd).
A number of readings press hard on the profile and set its tone: modeled uninsured settles in the top 0.4% nationally, and vision disability rests in the top 1.4% nationally. Housing-cost burden lands in the top 1.3% nationally, and modeled colon screening settles in the bottom 3.4% nationally. Homeownership rests in the bottom 2.2% nationally, modeled diabetes lands in the top 3.9% nationally, and modeled self-care disability settles in the top 4.7% nationally. On the brighter side, outpatient rests in the top 1.3% nationally, grocery lands in the top 2.2% nationally, and walkability settles in the top 2.3% nationally.
Set beside the wider area around it, park land runs far lower than the surrounding ZIPs on this measure. ZIP 33129, just across the boundary, ranks better overall among the ZIPs nearby.
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 Miami-Fort Lauderdale-West Palm Beach, FL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 68%
14%
Mental Health
healthier than 96%
8%
Climate / Disaster Risk
healthier than 77%
5%
Healthcare Access
healthier than 90%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Social Need / SDOH
healthier than 42%
16%
Holding it back
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 22%
11%
Disability
healthier than 7%
7%
Lifting this score
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
in the top 0.7%
5%
Healthcare Access
healthier than 84%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Environmental Hazard
healthier than 46%
14%
Holding it back
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 19%
11%
Disability
healthier than 5%
7%
Lifting this score
Climate / Disaster Risk
healthier than 98%
5%
Healthcare Access
healthier than 79%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 15%
11%
Disability
healthier than 5%
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 81.2 ± 1.1 years. A median household income of $40,567 predicts 76.5 years — 4.7 years above.
Ranked #88 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
33125
Floridashares a border
Score 44.12
Closest healthier
33129
Floridashares a border
Score 71.08
Similar health profile
85621
Arizona94% similar profile
Score 43.52
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 | 22.9% | 20.3–25.4 |
| High blood pressure among adults | 36.8% | 33.4–40.1 |
| Cancer (non-skin) or melanoma among adults | 6.0% | 5.4–6.5 |
| Current asthma among adults | 8.3% | 7.3–9.3 |
| Coronary heart disease among adults | 8.9% | 8.1–9.8 |
| Chronic obstructive pulmonary disease among adults | 7.0% | 6.3–7.8 |
| Depression among adults | 13.6% | 11.6–15.8 |
| Diagnosed diabetes among adults | 19.9% | 17.7–22.1 |
| High cholesterol among adults who have ever been screened | 38.7% | 35.1–42.2 |
| Obesity among adults | 32.3% | 27.4–37.4 |
| Stroke among adults | 4.5% | 4.2–4.9 |
| All teeth lost among adults aged >=65 years | 18.3% | 15.4–21.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 37.7% | 34.0–41.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 75.2–80.5 |
| Visits to doctor for routine checkup within the past year among adults | 74.8% | 71.5–77.9 |
| Cholesterol screening among adults | 83.8% | 81.9–85.5 |
| Colorectal cancer screening among adults aged 45–75 years | 52.9% | 48.1–57.8 |
| Visited dentist or dental clinic in the past year among adults | 45.9% | 42.8–49.0 |
| Mammography use among women aged 50-74 years | 70.9% | 63.4–77.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.1–15.6 |
| Current cigarette smoking among adults | 14.1% | 12.2–16.0 |
| No leisure-time physical activity among adults | 42.4% | 38.0–46.6 |
| Short sleep duration among adults | 38.0% | 33.7–42.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.2% | 29.1–35.3 |
| Frequent mental distress among adults | 15.2% | 13.5–16.9 |
| Frequent physical distress among adults | 18.7% | 16.8–20.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.5% | 15.7–19.4 |
| Any disability among adults | 37.4% | 33.6–41.1 |
| Hearing disability among adults | 9.3% | 8.3–10.3 |
| Independent living disability among adults | 10.8% | 9.6–11.9 |
| Mobility disability among adults | 21.5% | 19.2–23.8 |
| Self-care disability among adults | 7.3% | 6.6–8.0 |
| Vision disability among adults | 12.9% | 11.9–14.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | FL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 26.9% | 10.6% (3.1–25.8%) n=32,364 | 11.4% (5.3–23.2%) n=972 |
| Uninsured 18–64 | 26.8% | 9.0% (1.5–24.3%) n=32,286 | 15.9% (7.1–27.2%) n=968 |
| No HS diploma (25+) | 29.7% | 7.9% (1.8–20.7%) n=32,505 | 8.7% (2.9–20.6%) n=977 |
| Bachelor's or higher (25+) | 21.7% | 23.3% (9.2–53.6%) n=32,505 | 29.1% (12.7–56.0%) n=977 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.8–7.7%) n=968 |
| Households without a vehicle | 22.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (1.2–11.0%) n=972 |
| Broadband subscription | 76.3% | 89.3% (75.1–97.1%) n=32,322 | 91.9% (83.2–96.9%) n=972 |
| Housing cost burden (≥30% income) | 59.0% | 23.7% (10.6–40.0%) n=32,322 | 33.2% (20.1–47.6%) n=972 |
| Homeownership rate | 22.7% | 78.7% (51.7–94.0%) n=32,322 | 74.9% (47.3–90.5%) n=972 |
| Crowded housing (>1 per room) | 8.9% | 1.3% (0.0–6.3%) n=32,322 | 2.2% (0.2–6.7%) n=972 |
| Foreign-born population | 73.3% | 2.6% (0.0–18.6%) n=32,553 | 11.5% (2.3–39.9%) n=977 |
| Single-parent households | 44.0% | 53.6% (37.3–74.1%) n=32,087 | 52.8% (38.7–75.3%) n=968 |
| Population 65+ | 19.3% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (11.9–40.6%) n=977 |
| Median age | 42.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.0 yr (35.1–59.8) n=972 |
| Median household income | $40,567 | $72,070 ($46,039–$118,707) n=30,318 | $72,857 ($48,246–$112,420) n=946 |
| Median home value | $418,500 | $222,200 ($100,300–$579,820) n=30,049 | $334,600 ($168,120–$631,410) n=932 |
| Median gross rent | $1,422 | $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 | 81.2 yr ± 0.58 | 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 0.58 years of 81.2, 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