ZIP code
95660
in North Highlands, CaliforniaPopulation 35,451
39.20/ 100
Ranked #27,269 of 32,066 US ZIPs (bottom 15.0%)
Ranked #1,522 of 1,719 California ZIPs (bottom 11.5%)
Ranked #119 of 122 Sacramento-Roseville-Folsom, CA ZIPs (bottom 2.5%)
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.
Air-toxics cancer risk
50.2 per million
in the top 0.7% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Loud transportation noise
4.4%
in the top 1.8% nationally
Lower is healthier
ST88thUS98thDefinition & 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 ›Subsidized affordable housing
814 units
in the top 2.1% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Loneliness
41.6%
in the top 2.2% nationally
Lower is healthier
ST91stUS98thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Crowded housing
13.6%
in the top 2.7% nationally
Lower is healthier
ST86thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Dry extreme heat
85.7 days/year
in the top 4.1% nationally
Lower is healthier
ST86thUS96thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Fine-particle (PM2.5) exceedance
2.0%
in the top 4.6% nationally
Lower is healthier
ST65thUS95thDefinition & 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 ›Transportation noise
14.4%
in the top 4.6% nationally
Lower is healthier
ST87thUS95thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
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 ›The read
North Highlands, California (ZIP 95660), on the composite measure, lands in the bottom 15.0% nationally (27,269th) and the bottom 11.5% of California (1,522nd).
Where this area is stretched, the data is unambiguous: modeled air-toxics cancer risk stands in the top 0.7% nationally, loud transportation noise is in the top 1.8% nationally, and loneliness rests in the top 2.2% nationally. Crowded housing sits in the top 2.7% nationally, modeled extreme heat registers in the top 4.1% nationally, and modeled fine-particle lands in the top 4.6% nationally. Modeled transportation noise resides in the top 4.6% nationally, and tree cover lies at the national minimum. Better still, subsidized affordable housing settles in the top 2.1% nationally, and lead in tap water stands at the national minimum.
Set against the neighboring ZIPs, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. In everyday language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier neighbor overall sits at ZIP 95673, 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 66%
21%
Healthcare Access
healthier than 83%
5%
Holding it back
Social Need / SDOH
healthier than 18%
16%
Environmental Hazard
healthier than 3%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 20%
7%
Climate / Disaster Risk
healthier than 25%
5%
Lifting this score
Healthcare Access
healthier than 64%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Healthcare Access
healthier than 69%
5%
About typical
Climate / Disaster Risk
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 3%
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
4 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 75.6 ± 1.2 years. A median household income of $68,235 predicts 78.6 years — 3.0 years below.
Ranked #4,076 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 75.6 ± 1.2 years. The 46 nearest ZIP codes with estimates average 78.8 years — 3.2 years below them.
Ranked #2,515 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 3.2 (bottom 10%); chronic-disease standing 65.5 — 62 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,632 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 50.2 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 75.6 ± 1.2 years.
Ranked #117 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
95652
Californiashares a border
Score 36.78
Closest healthier
95673
Californiashares a border
Score 45.79
Similar health profile
30601
Georgia98% similar profile
Score 40.88
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 | 24.5% | 22.0–27.1 |
| High blood pressure among adults | 32.4% | 29.3–35.6 |
| Cancer (non-skin) or melanoma among adults | 6.1% | 5.5–6.7 |
| Current asthma among adults | 11.4% | 10.1–12.8 |
| Coronary heart disease among adults | 6.5% | 5.9–7.2 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.9–8.6 |
| Depression among adults | 25.9% | 22.7–29.2 |
| Diagnosed diabetes among adults | 12.5% | 11.0–14.2 |
| High cholesterol among adults who have ever been screened | 33.1% | 29.8–36.4 |
| Obesity among adults | 34.8% | 29.7–39.9 |
| Stroke among adults | 3.9% | 3.6–4.2 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.1–21.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.0% | 11.3–14.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.6% | 66.5–72.6 |
| Visits to doctor for routine checkup within the past year among adults | 67.8% | 64.1–71.3 |
| Cholesterol screening among adults | 81.0% | 79.0–83.0 |
| Colorectal cancer screening among adults aged 45–75 years | 56.0% | 51.4–60.3 |
| Visited dentist or dental clinic in the past year among adults | 52.7% | 49.4–56.0 |
| Mammography use among women aged 50-74 years | 68.3% | 60.9–75.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.4–17.4 |
| Current cigarette smoking among adults | 16.8% | 14.7–19.1 |
| No leisure-time physical activity among adults | 27.0% | 23.3–30.7 |
| Short sleep duration among adults | 41.1% | 36.7–45.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.0% | 26.1–32.0 |
| Frequent mental distress among adults | 21.4% | 19.2–23.7 |
| Frequent physical distress among adults | 17.0% | 15.2–18.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.9% | 17.9–22.0 |
| Any disability among adults | 37.7% | 33.9–41.4 |
| Hearing disability among adults | 6.8% | 6.1–7.5 |
| Independent living disability among adults | 11.9% | 10.7–13.1 |
| Mobility disability among adults | 17.9% | 16.0–19.9 |
| Self-care disability among adults | 5.6% | 5.1–6.0 |
| Vision disability among adults | 7.6% | 7.0–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.8% | 27.2–34.3 |
| Food insecurity in the past 12 months among adults | 25.0% | 22.1–27.9 |
| Received food stamps in the past 12 months among adults | 26.9% | 24.1–29.8 |
| Housing insecurity in the past 12 months among adults | 20.7% | 18.2–23.1 |
| Lack of reliable transportation in the past 12 months among adults | 13.7% | 12.2–15.2 |
| Loneliness among adults | 41.6% | 37.1–46.0 |
| Utility services shut-off threat in the past 12 months among adults | 11.9% | 10.4–13.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.3% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 11.0% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 20.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 12.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.9% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 44.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 62.0% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 13.6% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 29.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 29.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 11.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 33.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $68,235 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $356,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,689 | $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 | 75.6 yr ± 0.61 | 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 0.61 years of 75.6, 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