Skip to main content
ZipVitals

ZIP code

95461

in Middletown, CaliforniaPopulation 3,422

51.27/ 100

Ranked #14,453 of 32,066 US ZIPs (top 45%)

Ranked #983 of 1,719 California ZIPs (bottom 43%)

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.

Fatal road crashes

58.4 per 100,000 residents per year

in the top 2.5% nationally

Lower is healthier

ST96th
US98th
Definition & source ›

The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.

A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.

Full methodology ›

Natural-disaster risk

in the top 4.9% nationally

Lower is healthier

ST80th
US95th
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Housing-cost burden

43.9%

in the top 6.3% nationally

Lower is healthier

ST74th
US94th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

Slow internet speeds

1.6%

in the top 7.2% nationally

Lower is healthier

ST88th
US93rd
Definition & source ›

The share of homes whose fastest available download speed is under 10 Mbps.

Full methodology ›

Unemployment rate

11.1%

in the top 7.7% nationally

Lower is healthier

ST88th
US92nd
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

Fine-particle (PM2.5) exceedance

1.1%

in the top 7.9% nationally

Lower is healthier

ST55th
US92nd
Definition & 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 ›

The read

Middletown, California (ZIP 95461), on the composite measure, lands in the top 45% healthiest ZIPs nationally (14,453rd) and the bottom 43% of California (983rd).

continue reading

Where the data leans one way, another reading answers it: dental providers registers in the top 12.6% nationally, outpatient lands in the top 13.2% nationally, and modeled industrial-pollution burden resides in the bottom 14.9% nationally. On the other hand, fatal road crashes lies in the top 2.5% nationally, modeled disaster risk settles in the top 4.9% nationally, and housing-cost burden stands in the top 6.3% nationally. Slow internet speeds is in the top 7.2% nationally, and unemployment rests in the top 7.7% nationally. Modeled fine-particle sits in the top 7.9% nationally. Fiber broadband registers at the national minimum, shared with about 19% of ZIPs.

Set against the neighboring ZIPs, park land runs far lower than the surrounding ZIPs on this measure. In everyday language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. A healthier neighbor overall sits at ZIP 94515, 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.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Risk Behavior

healthier than 68%

11%

About typical

Chronic Disease Burden

healthier than 56%

21%

Social Need / SDOH

healthier than 51%

16%

Environmental Hazard

healthier than 45%

14%

Mental Health

healthier than 42%

8%

Disability

healthier than 46%

7%

Climate / Disaster Risk

healthier than 50%

5%

Holding it back

Preventive Care

healthier than 36%

13%

Healthcare Access

healthier than 30%

5%

Lifting this score

Environmental Hazard

healthier than 71%

14%

About typical

Social Need / SDOH

healthier than 51%

16%

Preventive Care

healthier than 59%

13%

Risk Behavior

healthier than 44%

11%

Disability

healthier than 44%

7%

Holding it back

Chronic Disease Burden

healthier than 23%

21%

Mental Health

healthier than 33%

8%

Climate / Disaster Risk

healthier than 38%

5%

Healthcare Access

healthier than 19%

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.

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 adults28.3%25.0–31.7
High blood pressure among adults37.2%33.0–41.5
Cancer (non-skin) or melanoma among adults9.9%8.9–10.9
Current asthma among adults10.7%9.5–12.0
Coronary heart disease among adults7.6%6.8–8.5
Chronic obstructive pulmonary disease among adults7.7%6.7–8.8
Depression among adults23.7%20.3–27.4
Diagnosed diabetes among adults12.3%10.7–14.1
High cholesterol among adults who have ever been screened38.6%34.2–43.2
Obesity among adults30.7%23.7–38.5
Stroke among adults4.0%3.6–4.4
All teeth lost among adults aged >=65 years9.4%7.6–11.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years7.7%6.4–9.2
Taking medicine to control high blood pressure among adults with high blood pressure75.0%71.5–78.2
Visits to doctor for routine checkup within the past year among adults74.2%70.3–77.9
Cholesterol screening among adults87.9%86.4–89.3
Colorectal cancer screening among adults aged 45–75 years63.7%58.5–68.7
Visited dentist or dental clinic in the past year among adults62.4%58.8–65.9
Mammography use among women aged 50-74 years74.1%66.0–81.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.3%13.5–19.6
Current cigarette smoking among adults13.4%11.4–15.7
No leisure-time physical activity among adults23.3%19.4–27.7
Short sleep duration among adults34.2%28.1–40.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults22.2%19.3–25.2
Frequent mental distress among adults17.2%15.2–19.3
Frequent physical distress among adults15.5%13.7–17.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.8%13.1–16.7
Any disability among adults33.1%28.8–37.6
Hearing disability among adults7.7%6.9–8.7
Independent living disability among adults8.8%7.8–9.9
Mobility disability among adults16.4%14.3–18.8
Self-care disability among adults4.3%3.9–4.9
Vision disability among adults5.2%4.7–5.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults24.8%21.3–28.6
Food insecurity in the past 12 months among adults13.4%11.2–15.9
Received food stamps in the past 12 months among adults12.8%10.8–15.2
Housing insecurity in the past 12 months among adults11.5%9.9–13.5
Lack of reliable transportation in the past 12 months among adults7.7%6.7–8.8
Loneliness among adults34.1%29.0–39.6
Utility services shut-off threat in the past 12 months among adults6.3%5.4–7.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate9.5%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–6410.6%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)13.1%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)31.3%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)11.1%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle1.3%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription83.6%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)43.9%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate68.5%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)3.3%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population17.6%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households47.6%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+17.0%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age45.5 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$78,667$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$387,400$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$2,107$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth80.1 yr ± 1.5878.9 yr (74.7–82.8) n=31,30880.5 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 1.58 years of 80.1, 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