ZIP code
95653
in Madison, CaliforniaPopulation 805
52.99/ 100
Ranked #12,099 of 32,066 US ZIPs (top 38%)
Ranked #886 of 1,719 California ZIPs (bottom 48%)
Ranked #64 of 122 Sacramento-Roseville-Folsom, CA ZIPs (bottom 48%)
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.
Crowded housing
17%
in the top 1.7% nationally
Lower is healthier
ST92ndUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Poverty rate
37.8%
in the top 3.6% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Fine-particle (PM2.5) exceedance
2.2%
in the top 4.0% nationally
Lower is healthier
ST68thUS96thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST73rdUS96thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Dry extreme heat
65.5 days/year
in the top 6.5% nationally
Lower is healthier
ST78thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Home broadband subscription
71.5%
in the bottom 7.0% nationally
Higher is healthier
ST4thUS7thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Uninsured (under 65)
17%
in the top 7.6% nationally
Lower is healthier
ST87thUS92ndDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›High blood pressure
28.1%
in the bottom 6.3% nationally
Lower is healthier
ST18thUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Floodplain exposure
33.5%
in the top 8.5% nationally
Lower is healthier
ST93rdUS92ndDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
Madison, California (ZIP 95653), by its overall standing, sits in the top 38% healthiest ZIPs nationally (12,099th) and the bottom 48% of California (886th).
The measures fall on both sides of the ledger for this area: unemployment lies at the national minimum, shared with about 15% of ZIPs. Households without a vehicle sits at the national minimum, shared with about 16% of ZIPs. Set against that, crowded housing settles in the top 1.7% nationally, and poverty registers in the top 3.6% nationally. Modeled fine-particle stands in the top 4.0% nationally, and air-toxics cancer risk lands in the top 4.5% nationally. Modeled tree cover is at the national minimum, and extreme heat resides in the top 6.5% nationally. Home broadband subscription rests in the bottom 7.0% nationally, and modeled uninsured lies in the top 7.6% nationally.
Defined in plain terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The nearest ZIP ranking healthier overall is ZIP 95694, 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 Sacramento-Roseville-Folsom, CA 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 93%
21%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 75%
8%
About typical
Disability
healthier than 56%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 10%
13%
Climate / Disaster Risk
healthier than 6%
5%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Mental Health
healthier than 72%
8%
About typical
Environmental Hazard
healthier than 52%
14%
Risk Behavior
healthier than 53%
11%
Disability
healthier than 53%
7%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Preventive Care
healthier than 28%
13%
Climate / Disaster Risk
healthier than 6%
5%
Healthcare Access
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
healthier than 87%
21%
Environmental Hazard
healthier than 83%
14%
Mental Health
healthier than 87%
8%
About typical
Disability
healthier than 44%
7%
Holding it back
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 36%
11%
Climate / Disaster Risk
healthier than 19%
5%
Healthcare Access
healthier than 31%
5%
“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
95627
Californiashares a border
Score 49.96
Closest healthier
95694
Californiashares a border
Score 57.24
Similar health profile
95002
California98% similar profile
Score 54.43
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 | 18.9% | 16.4–21.6 |
| High blood pressure among adults | 28.1% | 24.5–31.9 |
| Cancer (non-skin) or melanoma among adults | 5.0% | 4.5–5.6 |
| Current asthma among adults | 8.6% | 7.6–9.8 |
| Coronary heart disease among adults | 5.3% | 4.6–6.2 |
| Chronic obstructive pulmonary disease among adults | 4.1% | 3.3–4.9 |
| Depression among adults | 20.1% | 17.0–23.4 |
| Diagnosed diabetes among adults | 12.4% | 10.5–14.4 |
| High cholesterol among adults who have ever been screened | 33.7% | 29.8–37.9 |
| Obesity among adults | 31.3% | 24.7–38.7 |
| Stroke among adults | 2.8% | 2.4–3.2 |
| All teeth lost among adults aged >=65 years | 10.6% | 8.5–13.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 17.0% | 12.7–21.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.6% | 66.0–73.1 |
| Visits to doctor for routine checkup within the past year among adults | 70.0% | 65.8–74.2 |
| Cholesterol screening among adults | 83.9% | 80.9–86.7 |
| Colorectal cancer screening among adults aged 45–75 years | 60.5% | 55.3–65.5 |
| Visited dentist or dental clinic in the past year among adults | 61.1% | 57.5–64.7 |
| Mammography use among women aged 50-74 years | 74.6% | 66.8–81.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.3% | 14.4–20.8 |
| Current cigarette smoking among adults | 9.3% | 7.3–11.6 |
| No leisure-time physical activity among adults | 27.7% | 22.5–33.4 |
| Short sleep duration among adults | 31.2% | 25.7–37.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.8% | 20.8–29.5 |
| Frequent mental distress among adults | 16.0% | 13.8–18.4 |
| Frequent physical distress among adults | 14.0% | 11.9–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 12.9–18.5 |
| Any disability among adults | 31.4% | 26.4–37.0 |
| Hearing disability among adults | 5.7% | 4.9–6.5 |
| Independent living disability among adults | 7.7% | 6.4–9.1 |
| Mobility disability among adults | 13.8% | 11.3–16.4 |
| Self-care disability among adults | 4.1% | 3.5–4.9 |
| Vision disability among adults | 6.7% | 5.6–7.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.8% | 23.5–32.7 |
| Food insecurity in the past 12 months among adults | 21.7% | 16.8–27.2 |
| Received food stamps in the past 12 months among adults | 16.7% | 12.7–21.1 |
| Housing insecurity in the past 12 months among adults | 19.0% | 15.3–22.9 |
| Lack of reliable transportation in the past 12 months among adults | 10.9% | 8.9–13.2 |
| Loneliness among adults | 35.2% | 30.0–41.0 |
| Utility services shut-off threat in the past 12 months among adults | 8.9% | 7.2–10.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 37.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 20.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 37.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 4.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 71.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 27.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 93.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 17.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 64.6% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 39.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 39.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 36.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $344,400 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $1,912 ($1,113–$2,923) n=1,461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 83.7 yr ± 2.55 | 78.9 yr (74.7–82.8) n=31,308 | 80.5 yr (76.7–83.8) n=1,665 |
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 2.55 years of 83.7, 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