ZIP code
95642
in Jackson, CaliforniaPopulation 7,135
53.99/ 100
Ranked #10,711 of 32,066 US ZIPs (top 33%)
Ranked #836 of 1,719 California ZIPs (top 49%)
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.
Grocery access
0.53 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Physician access
3.3 per 1,000 residents
in the top 2.9% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The number of physicians’ offices 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 ›Fine-particle (PM2.5) exceedance
2.5%
in the top 3.2% nationally
Lower is healthier
ST72ndUS97thDefinition & 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 ›Loud transportation noise
3.2%
in the top 3.4% nationally
Lower is healthier
ST78thUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Outpatient-care access
0.66 per 1,000 residents
in the top 4.4% nationally
Higher is healthier
ST93rdUS96thDefinition & 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 ›Dental provider access
1.2 per 1,000 residents
in the top 4.4% nationally
Higher is healthier
ST89thUS96thDefinition & source ›
The number of dental offices 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 ›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 ›Civic-institution access
0.8 per 1,000 residents
in the top 6.3% nationally
Higher is healthier
ST86thUS94thDefinition & source ›
The number of civic and social organizations 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 ›Mental-health provider access
0.13 per 1,000 residents
in the top 7.8% nationally
Higher is healthier
ST90thUS92ndDefinition & source ›
The number of mental-health 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 ›The read
By the composite measure, Jackson, California (ZIP 95642) sits in the top 33% healthiest ZIPs nationally (10,711th) and the top 49% of California (836th).
Where the data leans one way, another reading answers it: grocery lands in the top 1.4% nationally, physicians resides in the top 2.9% nationally, and outpatient lies in the top 4.4% nationally. Dental providers settles in the top 4.4% nationally. Distance to an emergency room stands at the national minimum, shared with about 11% of ZIPs. Civic is in the top 6.3% nationally. On the other hand, distance to a Superfund site rests at the national minimum, and modeled fine-particle sits in the top 3.2% nationally. Modeled loud transportation noise registers in the top 3.4% nationally, and air-toxics cancer risk lands in the top 4.5% nationally.
In plain language, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. 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. ZIP 95689, about 1.1 miles away, ranks healthier overall.
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.
Lifting this score
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 67%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 63%
8%
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Disability
healthier than 49%
7%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Environmental Hazard
healthier than 6%
14%
Lifting this score
Social Need / SDOH
healthier than 77%
16%
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 68%
11%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 58%
8%
Disability
healthier than 47%
7%
Climate / Disaster Risk
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Environmental Hazard
healthier than 24%
14%
“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.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 78.4 ± 1.7 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
95245
Californiashares a border
Score 40.91
Closest healthier
95689
Californiaabout 1.1 mi away
Score 54.57
Similar health profile
95602
California96% similar profile
Score 56.28
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 | 30.3% | 26.8–33.9 |
| High blood pressure among adults | 38.6% | 34.3–43.0 |
| Cancer (non-skin) or melanoma among adults | 11.9% | 10.8–13.0 |
| Current asthma among adults | 10.5% | 9.3–11.8 |
| Coronary heart disease among adults | 8.2% | 7.3–9.0 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.7–8.5 |
| Depression among adults | 22.3% | 18.9–25.9 |
| Diagnosed diabetes among adults | 12.0% | 10.3–13.7 |
| High cholesterol among adults who have ever been screened | 40.1% | 35.6–44.7 |
| Obesity among adults | 28.5% | 21.7–35.8 |
| Stroke among adults | 4.2% | 3.9–4.6 |
| All teeth lost among adults aged >=65 years | 10.5% | 8.3–12.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.5% | 5.5–7.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 74.7–80.7 |
| Visits to doctor for routine checkup within the past year among adults | 76.0% | 72.4–79.4 |
| Cholesterol screening among adults | 89.6% | 88.3–90.8 |
| Colorectal cancer screening among adults aged 45–75 years | 67.3% | 61.9–72.2 |
| Visited dentist or dental clinic in the past year among adults | 65.5% | 61.7–69.0 |
| Mammography use among women aged 50-74 years | 76.7% | 68.6–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.0–17.4 |
| Current cigarette smoking among adults | 11.5% | 9.8–13.2 |
| No leisure-time physical activity among adults | 23.0% | 19.1–27.3 |
| Short sleep duration among adults | 32.7% | 26.1–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 17.8–23.1 |
| Frequent mental distress among adults | 15.9% | 14.1–17.9 |
| Frequent physical distress among adults | 14.8% | 13.1–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.5% | 12.0–15.1 |
| Any disability among adults | 33.2% | 29.0–37.6 |
| Hearing disability among adults | 8.7% | 7.7–9.7 |
| Independent living disability among adults | 8.5% | 7.5–9.5 |
| Mobility disability among adults | 16.6% | 14.5–18.9 |
| Self-care disability among adults | 3.9% | 3.6–4.4 |
| Vision disability among adults | 4.9% | 4.5–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 19.8–27.0 |
| Food insecurity in the past 12 months among adults | 11.0% | 9.3–12.7 |
| Received food stamps in the past 12 months among adults | 10.3% | 8.7–11.8 |
| Housing insecurity in the past 12 months among adults | 9.2% | 7.8–10.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.7–7.3 |
| Loneliness among adults | 33.1% | 27.7–38.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.1% | 4.4–5.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 8.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 24.6% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 8.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 80.6% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 29.6% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 66.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 8.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 61.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 35.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 51.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $81,438 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $456,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,419 | $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 | 78.4 yr ± 0.88 | 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 0.88 years of 78.4, 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