ZIP code
96065
in Montgomery Creek, CaliforniaPopulation 221
41.23/ 100
Ranked #25,854 of 32,066 US ZIPs (bottom 19%)
Ranked #1,463 of 1,719 California ZIPs (bottom 14.9%)
Ranked #24 of 26 Redding, CA ZIPs (bottom 7.7%)
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.
Fine-particle (PM2.5) exceedance
6.3%
in the top 0.7% nationally
Lower is healthier
ST92ndUS99thDefinition & 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 ›Slow internet speeds
8.8%
in the top 1.5% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to a nursing home
20.9 mi
in the top 3.1% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Tree cover
84.3%
in the top 3.3% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Walkability
1.4 intersections/sq mi
in the bottom 4.0% nationally
Higher is healthier
ST4thUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Park land
33.6%
in the top 4.2% nationally
Higher is healthier
ST87thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Distance to an emergency room
20.7 mi
in the top 5.0% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Coronary heart disease
10.7%
in the top 5.6% nationally
Lower is healthier
ST96thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Unemployment rate
11.4%
in the top 7.1% nationally
Lower is healthier
ST89thUS93rdDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Floodplain exposure
0.42%
in the bottom 9.3% nationally
Lower is healthier
ST22ndUS9thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
In overall standing, Montgomery Creek, California (ZIP 96065) comes out in the bottom 19% nationally (25,854th) and the bottom 14.9% of California (1,463rd).
The measures that shape daily life here come through in the data: modeled fine-particle settles in the top 0.7% nationally, slow internet speeds registers in the top 1.5% nationally, and distance to a nursing home stands in the top 3.1% nationally. Walkability lands in the bottom 4.0% nationally, distance to an emergency room is in the top 5.0% nationally, and modeled coronary heart disease resides in the top 5.6% nationally. Unemployment rests in the top 7.1% nationally. More encouragingly, modeled tree cover lies in the top 3.3% nationally, and park land sits in the top 4.2% nationally. Floodplain exposure settles in the bottom 9.3% nationally.
Relative to the ZIPs around it, slow internet speeds runs far higher than the surrounding ZIPs on this measure. 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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest healthier ZIP overall is ZIP 96008, 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 Redding, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Climate / Disaster Risk
healthier than 60%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 33%
16%
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 30%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 16%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 46%
14%
Preventive Care
healthier than 58%
13%
Climate / Disaster Risk
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 37%
16%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 10%
5%
Lifting this score
Environmental Hazard
healthier than 60%
14%
About typical
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 4%
7%
Healthcare Access
healthier than 12%
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.
Nearby
96008
Californiashares a border
Score 47.02
Closest healthier
96013
Californiashares a border
Score 46.00
Similar health profile
35070
Alabama99% similar profile
Score 39.10
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 | 32.7% | 29.3–36.3 |
| High blood pressure among adults | 43.2% | 39.2–47.3 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.9–12.0 |
| Current asthma among adults | 11.3% | 10.0–12.6 |
| Coronary heart disease among adults | 10.7% | 9.5–11.9 |
| Chronic obstructive pulmonary disease among adults | 10.3% | 8.9–11.9 |
| Depression among adults | 23.5% | 20.2–27.1 |
| Diagnosed diabetes among adults | 15.6% | 13.6–17.8 |
| High cholesterol among adults who have ever been screened | 43.4% | 39.2–47.7 |
| Obesity among adults | 31.6% | 25.2–38.5 |
| Stroke among adults | 5.3% | 4.7–5.9 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.0–21.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.9% | 5.6–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.6% | 73.5–79.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.6% | 71.9–78.8 |
| Cholesterol screening among adults | 86.2% | 84.5–87.9 |
| Colorectal cancer screening among adults aged 45–75 years | 67.9% | 62.3–72.7 |
| Visited dentist or dental clinic in the past year among adults | 55.2% | 51.3–58.9 |
| Mammography use among women aged 50-74 years | 72.4% | 63.9–79.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 12.9–18.3 |
| Current cigarette smoking among adults | 17.2% | 14.3–20.0 |
| No leisure-time physical activity among adults | 25.0% | 20.7–29.5 |
| Short sleep duration among adults | 39.5% | 32.7–46.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.9% | 23.3–30.5 |
| Frequent mental distress among adults | 18.9% | 16.8–21.1 |
| Frequent physical distress among adults | 17.9% | 15.6–20.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.9% | 14.8–19.0 |
| Any disability among adults | 39.5% | 34.7–44.3 |
| Hearing disability among adults | 10.7% | 9.6–12.0 |
| Independent living disability among adults | 10.9% | 9.5–12.3 |
| Mobility disability among adults | 20.6% | 17.7–23.5 |
| Self-care disability among adults | 5.6% | 4.9–6.3 |
| Vision disability among adults | 6.9% | 6.1–7.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.5% | 22.5–30.6 |
| Food insecurity in the past 12 months among adults | 17.5% | 14.7–20.4 |
| Received food stamps in the past 12 months among adults | 18.4% | 15.6–21.4 |
| Housing insecurity in the past 12 months among adults | 13.1% | 11.2–15.2 |
| Lack of reliable transportation in the past 12 months among adults | 10.5% | 9.2–12.0 |
| Loneliness among adults | 34.4% | 29.0–39.6 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.1–9.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 9.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 36.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 11.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 83.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 16.3% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 84.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 24.0% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 42.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 34.8% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 59.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $61,250 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $365,200 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | — | $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 | 79.2 yr ± 1.09 | 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 1.09 years of 79.2, 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