ZIP code
95943
in Glenn, CaliforniaPopulation 621
41.59/ 100
Ranked #25,579 of 32,066 US ZIPs (bottom 20%)
Ranked #1,453 of 1,719 California ZIPs (bottom 15%)
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
3.8%
in the top 1.7% nationally
Lower is healthier
ST81stUS98thDefinition & 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 ›Floodplain exposure
56.4%
in the top 3.1% nationally
Lower is healthier
ST97thUS97thDefinition & 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 ›Nitrate in drinking water
8.1%
in the top 3.4% nationally
Lower is healthier
ST90thUS97thDefinition & 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 ›Dry extreme heat
87.2 days/year
in the top 3.8% nationally
Lower is healthier
ST88thUS96thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
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 ›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 ›Natural-disaster risk
in the top 4.9% nationally
Lower is healthier
ST80thUS95thDefinition & 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 ›Recreation access
1.3 per 1,000 residents
in the top 5.0% nationally
Higher is healthier
ST91stUS95thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Unemployment rate
12.4%
in the top 5.9% nationally
Lower is healthier
ST91stUS94thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Crowded housing
8.1%
in the top 6.7% nationally
Lower is healthier
ST69thUS93rdDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›The read
Glenn, California (ZIP 95943), in overall standing, comes out in the bottom 20% nationally (25,579th) and the bottom 15% of California (1,453rd).
The profile carries real weight, and several readings make that plain: modeled fine-particle rests in the top 1.7% nationally, floodplain exposure settles in the top 3.1% nationally, and modeled nitrate lands in the top 3.4% nationally. Modeled extreme heat rests in the top 3.8% nationally, air-toxics cancer risk settles in the top 4.5% nationally, and tree cover lands at the national minimum. Modeled disaster risk rests in the top 4.9% nationally, and unemployment settles in the top 5.9% nationally. Crowded housing lands in the top 6.7% nationally. Better still, recreation rests in the top 5.0% nationally.
Defined simply, for reference, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. The closest healthier ZIP overall is ZIP 95920, 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.
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
Chronic Disease Burden
healthier than 58%
21%
Risk Behavior
healthier than 53%
11%
Healthcare Access
healthier than 44%
5%
Holding it back
Social Need / SDOH
healthier than 17%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 22%
13%
Mental Health
healthier than 14%
8%
Disability
healthier than 30%
7%
Climate / Disaster Risk
in the bottom 0.2%
5%
Nothing measured is lifting this score.
About typical
Preventive Care
healthier than 45%
13%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 35%
14%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 29%
7%
Climate / Disaster Risk
in the bottom 0.8%
5%
Healthcare Access
healthier than 28%
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
95920
Californiashares a border
Score 43.33
Closest healthier
95928
Californiashares a border
Score 46.81
Similar health profile
76354
Texas97% similar profile
Score 46.10
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 | 27.2% | 23.9–30.9 |
| High blood pressure among adults | 33.2% | 29.2–37.6 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–10.0 |
| Current asthma among adults | 11.6% | 10.2–13.2 |
| Coronary heart disease among adults | 7.3% | 6.3–8.4 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 6.9–10.2 |
| Depression among adults | 26.1% | 22.3–30.4 |
| Diagnosed diabetes among adults | 11.3% | 9.7–13.1 |
| High cholesterol among adults who have ever been screened | 36.2% | 31.9–40.9 |
| Obesity among adults | 30.4% | 23.2–38.7 |
| Stroke among adults | 4.0% | 3.4–4.6 |
| All teeth lost among adults aged >=65 years | 14.6% | 11.7–17.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 6.8–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.3% | 69.8–76.6 |
| Visits to doctor for routine checkup within the past year among adults | 72.6% | 68.2–76.8 |
| Cholesterol screening among adults | 84.8% | 82.5–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 63.1% | 57.6–68.3 |
| Visited dentist or dental clinic in the past year among adults | 62.2% | 58.4–65.7 |
| Mammography use among women aged 50-74 years | 72.8% | 64.4–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 13.4–19.7 |
| Current cigarette smoking among adults | 15.3% | 12.3–18.8 |
| No leisure-time physical activity among adults | 25.3% | 20.7–30.8 |
| Short sleep duration among adults | 35.0% | 28.3–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.3% | 20.6–28.4 |
| Frequent mental distress among adults | 19.8% | 17.4–22.5 |
| Frequent physical distress among adults | 16.3% | 14.1–18.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 15.4–20.8 |
| Any disability among adults | 35.8% | 30.9–41.4 |
| Hearing disability among adults | 7.7% | 6.7–8.9 |
| Independent living disability among adults | 10.6% | 9.0–12.4 |
| Mobility disability among adults | 17.3% | 14.6–20.4 |
| Self-care disability among adults | 4.7% | 4.0–5.6 |
| Vision disability among adults | 5.9% | 5.1–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.8% | 21.7–30.3 |
| Food insecurity in the past 12 months among adults | 16.8% | 13.4–20.7 |
| Received food stamps in the past 12 months among adults | 16.9% | 13.4–20.6 |
| Housing insecurity in the past 12 months among adults | 13.2% | 10.8–15.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.2% | 7.8–10.9 |
| Loneliness among adults | 36.5% | 30.8–42.4 |
| Utility services shut-off threat in the past 12 months among adults | 7.2% | 5.9–8.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 12.4% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 14.1% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 14.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 12.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 96.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 42.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 59.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 8.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 4.7% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 64.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 22.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 41.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $49,744 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $1,173,100 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $854 | $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 | 84.1 yr ± 1.69 | 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 1.69 years of 84.1, 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