ZIP code
92544
in Hemet, CaliforniaPopulation 51,751
43.74/ 100
Ranked #23,666 of 32,066 US ZIPs (bottom 26%)
Ranked #1,359 of 1,719 California ZIPs (bottom 21%)
Ranked #113 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 26%)
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.
Natural-disaster risk
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Expected annual disaster loss
$1
in the top 1.5% nationally
Lower is healthier
ST90thUS99thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Park land
34.1%
in the top 4.1% nationally
Higher is healthier
ST88thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Crowded housing
9.1%
in the top 5.3% nationally
Lower is healthier
ST73rdUS95thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Housing insecurity
20.5%
in the top 8.3% nationally
Lower is healthier
ST82ndUS92ndDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Short sleep
40.1%
in the top 17% nationally
Lower is healthier
ST93rdUS83rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Obesity
39.9%
in the top 25% nationally
Lower is healthier
ST97thUS75thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
On balance, and by the composite measure, ZIP 92544, one of several in Hemet, California ranks in the bottom 26% nationally (23,666th) and the bottom 21% of California (1,359th).
The measures that press hardest set the tone here: modeled disaster risk rests in the top 0.3% nationally, and expected annual loss is in the top 1.5% nationally. Crowded housing stands in the top 5.3% nationally, and modeled housing insecurity settles in the top 8.3% nationally. Modeled fair or poor health lies in the top 11.1% nationally, housing-cost burden resides in the top 10.9% nationally, and modeled loneliness lands in the top 11.2% nationally. Modeled food insecurity registers in the top 11.4% nationally, and extreme heat sits in the top 11.6% nationally. On the stronger side, park land rests in the top 4.1% nationally.
Compared with the ZIPs it borders, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plainer terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier nearby ZIP overall, look to ZIP 92536, 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 Riverside-San Bernardino-Ontario, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 92%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Environmental Hazard
healthier than 47%
14%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 20%
7%
Lifting this score
Environmental Hazard
healthier than 72%
14%
Healthcare Access
healthier than 86%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 17%
16%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 11%
8%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 36%
5%
Lifting this score
Climate / Disaster Risk
healthier than 67%
5%
Healthcare Access
healthier than 83%
5%
About typical
Preventive Care
healthier than 46%
13%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 28%
16%
Environmental Hazard
healthier than 36%
14%
Risk Behavior
healthier than 26%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 28%
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
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 75.8 ± 0.9 years. A median household income of $73,596 predicts 78.9 years — 3.0 years below.
Ranked #4,190 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 75.8 ± 0.9 years. The 47 nearest ZIP codes with estimates average 79.6 years — 3.8 years below them.
Ranked #2,899 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
92536
Californiashares a border
Score 49.38
Closest healthier
92539
Californiashares a border
Score 47.05
Similar health profile
28726
North Carolina97% similar profile
Score 44.14
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 | 27.3% | 25.1–29.6 |
| High blood pressure among adults | 36.2% | 33.5–39.0 |
| Cancer (non-skin) or melanoma among adults | 7.1% | 6.4–7.7 |
| Current asthma among adults | 10.5% | 9.4–11.7 |
| Coronary heart disease among adults | 7.2% | 6.5–7.9 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.8–8.2 |
| Depression among adults | 24.5% | 21.9–27.3 |
| Diagnosed diabetes among adults | 13.7% | 12.3–15.3 |
| High cholesterol among adults who have ever been screened | 38.0% | 35.1–41.0 |
| Obesity among adults | 39.9% | 35.8–44.2 |
| Stroke among adults | 3.9% | 3.7–4.2 |
| All teeth lost among adults aged >=65 years | 14.5% | 11.9–17.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.0% | 12.4–15.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.4% | 68.6–74.1 |
| Visits to doctor for routine checkup within the past year among adults | 71.8% | 68.8–74.7 |
| Cholesterol screening among adults | 83.5% | 81.7–85.1 |
| Colorectal cancer screening among adults aged 45–75 years | 58.9% | 54.5–63.2 |
| Visited dentist or dental clinic in the past year among adults | 55.7% | 52.5–59.0 |
| Mammography use among women aged 50-74 years | 77.1% | 71.0–82.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.2% | 12.2–16.5 |
| Current cigarette smoking among adults | 14.9% | 13.2–16.8 |
| No leisure-time physical activity among adults | 30.7% | 27.6–34.1 |
| Short sleep duration among adults | 40.1% | 35.9–44.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.7% | 26.3–31.2 |
| Frequent mental distress among adults | 19.5% | 17.6–21.4 |
| Frequent physical distress among adults | 17.3% | 15.7–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.8% | 17.1–20.7 |
| Any disability among adults | 39.7% | 36.5–43.0 |
| Hearing disability among adults | 7.5% | 6.8–8.3 |
| Independent living disability among adults | 11.3% | 10.3–12.4 |
| Mobility disability among adults | 19.4% | 17.6–21.2 |
| Self-care disability among adults | 5.4% | 5.0–5.8 |
| Vision disability among adults | 7.6% | 7.1–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.2% | 25.2–31.3 |
| Food insecurity in the past 12 months among adults | 24.8% | 22.3–27.3 |
| Received food stamps in the past 12 months among adults | 23.2% | 20.9–25.6 |
| Housing insecurity in the past 12 months among adults | 20.5% | 18.3–22.7 |
| Lack of reliable transportation in the past 12 months among adults | 12.5% | 11.3–13.9 |
| Loneliness among adults | 37.3% | 33.7–41.0 |
| Utility services shut-off threat in the past 12 months among adults | 10.8% | 9.6–12.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 13.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 17.8% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 15.4% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.3% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 92.4% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 39.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 68.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 9.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 16.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 42.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 14.6% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $73,596 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $404,500 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,627 | $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 | 75.8 yr ± 0.45 | 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 0.45 years of 75.8, 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