ZIP code
95627
in Esparto, CaliforniaPopulation 3,999
49.96/ 100
Ranked #16,311 of 32,066 US ZIPs (bottom 49%)
Ranked #1,071 of 1,719 California ZIPs (bottom 38%)
Ranked #84 of 122 Sacramento-Roseville-Folsom, CA ZIPs (bottom 31%)
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
11.6%
in the top 3.6% nationally
Lower is healthier
ST81stUS96thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Fine-particle (PM2.5) exceedance
2.1%
in the top 4.3% nationally
Lower is healthier
ST66thUS96thDefinition & 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 ›Dry extreme heat
68.7 days/year
in the top 6.1% nationally
Lower is healthier
ST79thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Nitrate in drinking water
0.22%
in the top 7.9% nationally
Lower is healthier
ST84thUS92ndDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›The read
Esparto, California (ZIP 95627), by its overall standing, sits in the bottom 49% nationally (16,311th) and the bottom 38% of California (1,071st).
The profile opens balanced, with readings on either hand: distance to a community health center stands at the national minimum, shared with about 23% of ZIPs. Modeled high blood pressure lands in the bottom 10.4% nationally. By contrast, crowded housing is in the top 3.6% nationally, and modeled fine-particle resides in the top 4.3% nationally. Modeled air-toxics cancer risk rests in the top 4.5% nationally, and extreme heat lies in the top 6.1% nationally. Modeled nitrate sits in the top 7.9% nationally, and disaster risk settles in the top 12.6% nationally. Distance to a nursing home registers in the top 12.8% nationally, and modeled tree cover stands in the bottom 13.2% nationally.
Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. 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. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. The nearest ZIP ranking healthier overall is ZIP 95653, 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 84%
21%
Risk Behavior
healthier than 70%
11%
About typical
Mental Health
healthier than 41%
8%
Disability
healthier than 49%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 17%
14%
Preventive Care
healthier than 11%
13%
Climate / Disaster Risk
healthier than 14%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 54%
21%
Environmental Hazard
healthier than 48%
14%
Risk Behavior
healthier than 46%
11%
Disability
healthier than 46%
7%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Preventive Care
healthier than 29%
13%
Mental Health
healthier than 31%
8%
Climate / Disaster Risk
healthier than 12%
5%
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 71%
21%
Environmental Hazard
healthier than 79%
14%
Holding it back
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 24%
11%
Mental Health
healthier than 36%
8%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 32%
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 ›
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 17.2; chronic-disease standing 83.6 — 66 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,063 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95607
Californiashares a border
Score 49.48
Closest healthier
95653
Californiashares a border
Score 52.99
Similar health profile
93291
California97% similar profile
Score 48.71
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 | 22.3% | 19.6–25.1 |
| High blood pressure among adults | 29.8% | 26.2–33.5 |
| Cancer (non-skin) or melanoma among adults | 6.6% | 6.0–7.3 |
| Current asthma among adults | 9.9% | 8.8–11.2 |
| Coronary heart disease among adults | 5.9% | 5.2–6.7 |
| Chronic obstructive pulmonary disease among adults | 5.6% | 4.8–6.6 |
| Depression among adults | 23.3% | 20.0–27.0 |
| Diagnosed diabetes among adults | 11.3% | 9.8–12.9 |
| High cholesterol among adults who have ever been screened | 34.1% | 30.1–38.3 |
| Obesity among adults | 30.3% | 24.1–37.5 |
| Stroke among adults | 3.2% | 2.9–3.6 |
| All teeth lost among adults aged >=65 years | 14.1% | 11.5–17.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.2% | 10.4–16.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.5% | 67.1–73.8 |
| Visits to doctor for routine checkup within the past year among adults | 71.0% | 67.1–75.1 |
| Cholesterol screening among adults | 84.5% | 82.3–86.7 |
| Colorectal cancer screening among adults aged 45–75 years | 59.2% | 54.0–64.3 |
| Visited dentist or dental clinic in the past year among adults | 58.0% | 54.4–61.7 |
| Mammography use among women aged 50-74 years | 72.6% | 64.6–79.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.3% | 14.5–20.7 |
| Current cigarette smoking among adults | 11.7% | 9.6–14.0 |
| No leisure-time physical activity among adults | 26.2% | 21.6–31.4 |
| Short sleep duration among adults | 31.8% | 26.3–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.7% | 20.3–27.6 |
| Frequent mental distress among adults | 17.7% | 15.5–20.1 |
| Frequent physical distress among adults | 14.5% | 12.6–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.2% | 14.0–18.7 |
| Any disability among adults | 32.4% | 27.9–37.5 |
| Hearing disability among adults | 6.4% | 5.6–7.2 |
| Independent living disability among adults | 8.7% | 7.5–10.1 |
| Mobility disability among adults | 14.6% | 12.4–17.0 |
| Self-care disability among adults | 4.2% | 3.7–4.8 |
| Vision disability among adults | 6.1% | 5.3–7.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.3% | 23.5–31.3 |
| Food insecurity in the past 12 months among adults | 19.2% | 15.7–23.0 |
| Received food stamps in the past 12 months among adults | 16.5% | 13.5–19.8 |
| Housing insecurity in the past 12 months among adults | 16.6% | 13.9–19.5 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 8.7–11.9 |
| Loneliness among adults | 35.5% | 30.5–40.5 |
| Utility services shut-off threat in the past 12 months among adults | 8.4% | 7.1–9.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 11.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 19.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 18.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 24.4% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 78.1% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 11.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 27.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 51.5% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 16.1% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 35.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $101,994 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $457,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,560 | $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 | 84.5 yr ± 2.15 | 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 2.15 years of 84.5, 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