ZIP code
95310
in Columbia, CaliforniaPopulation 1,356
44.96/ 100
Ranked #22,443 of 32,066 US ZIPs (bottom 30%)
Ranked #1,313 of 1,719 California ZIPs (bottom 24%)
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.
Housing-cost burden
60.2%
in the top 1.2% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Fine-particle (PM2.5) exceedance
2.9%
in the top 2.4% nationally
Lower is healthier
ST76thUS98thDefinition & 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 ›Distance to an emergency room
25.5 mi
in the top 2.9% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
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 ›Distance to a community health center
27.9 mi
in the top 4.7% nationally
Lower is healthier
ST99thUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Industrial-pollution burden
in the bottom 5.5% nationally
Lower is healthier
ST13thUS5thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Coronary heart disease
10.6%
in the top 6.0% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Tree cover
75.8%
in the top 6.7% nationally
Higher is healthier
ST96thUS93rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Recreation access
1.1 per 1,000 residents
in the top 7.0% nationally
Higher is healthier
ST89thUS93rdDefinition & 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 ›The read
Columbia, California (ZIP 95310), overall, ranks in the bottom 30% nationally (22,443rd) and the bottom 24% of California (1,313th).
This area's pressures are easy to read across the measures: housing-cost burden lies in the top 1.2% nationally, modeled fine-particle stands in the top 2.4% nationally, and distance to an emergency room rests in the top 2.9% nationally. Modeled air-toxics cancer risk registers in the top 4.5% nationally, distance to a community health center resides in the top 4.7% nationally, and modeled coronary heart disease settles in the top 6.0% nationally. On the brighter side, fatal road crashes is at the national minimum, and modeled industrial-pollution burden sits in the bottom 5.5% nationally. Modeled tree cover lands in the top 6.7% nationally, and recreation lies in the top 7.0% nationally.
Measured against the nearby ZIPs, park land runs far higher than the surrounding ZIPs on this measure. Defined simply, 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 95224, just across the boundary, comes out 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
Preventive Care
healthier than 76%
13%
Risk Behavior
healthier than 80%
11%
About typical
Mental Health
healthier than 44%
8%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 15%
14%
Disability
healthier than 21%
7%
Healthcare Access
healthier than 4%
5%
Lifting this score
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 61%
11%
About typical
Environmental Hazard
healthier than 44%
14%
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 33%
16%
Mental Health
healthier than 34%
8%
Disability
healthier than 20%
7%
Healthcare Access
healthier than 2%
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
95224
Californiashares a border
Score 55.34
Closest healthier
95247
Californiashares a border
Score 54.91
Similar health profile
97840
Oregon97% similar profile
Score 43.50
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 | 36.5% | 32.7–40.6 |
| High blood pressure among adults | 43.7% | 39.2–48.4 |
| Cancer (non-skin) or melanoma among adults | 13.6% | 12.4–15.0 |
| Current asthma among adults | 11.1% | 9.8–12.5 |
| Coronary heart disease among adults | 10.6% | 9.3–11.9 |
| Chronic obstructive pulmonary disease among adults | 10.3% | 8.8–12.0 |
| Depression among adults | 24.3% | 20.9–28.2 |
| Diagnosed diabetes among adults | 15.1% | 13.0–17.4 |
| High cholesterol among adults who have ever been screened | 43.5% | 39.0–48.2 |
| Obesity among adults | 30.4% | 23.8–38.0 |
| Stroke among adults | 5.4% | 4.8–6.1 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.5–14.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.1% | 5.1–7.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.7% | 77.8–83.5 |
| Visits to doctor for routine checkup within the past year among adults | 79.8% | 76.5–82.8 |
| Cholesterol screening among adults | 90.1% | 88.7–91.3 |
| Colorectal cancer screening among adults aged 45–75 years | 69.4% | 64.4–74.3 |
| Visited dentist or dental clinic in the past year among adults | 64.9% | 61.4–68.5 |
| Mammography use among women aged 50-74 years | 72.5% | 64.5–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.8% | 10.5–15.4 |
| Current cigarette smoking among adults | 13.7% | 11.5–16.2 |
| No leisure-time physical activity among adults | 26.3% | 21.9–31.4 |
| Short sleep duration among adults | 33.3% | 27.0–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.2% | 21.0–28.0 |
| Frequent mental distress among adults | 16.6% | 14.7–18.7 |
| Frequent physical distress among adults | 17.4% | 15.2–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.8% | 13.0–16.8 |
| Any disability among adults | 37.8% | 33.1–43.1 |
| Hearing disability among adults | 10.7% | 9.4–12.0 |
| Independent living disability among adults | 10.3% | 9.1–11.8 |
| Mobility disability among adults | 21.4% | 18.4–24.6 |
| Self-care disability among adults | 5.3% | 4.6–5.9 |
| Vision disability among adults | 6.2% | 5.5–7.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.5% | 19.1–26.1 |
| Food insecurity in the past 12 months among adults | 12.9% | 10.9–15.4 |
| Received food stamps in the past 12 months among adults | 14.4% | 12.1–16.8 |
| Housing insecurity in the past 12 months among adults | 9.9% | 8.5–11.6 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.6–8.6 |
| Loneliness among adults | 30.4% | 25.7–35.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.3% | 5.4–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.1% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 18.7% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 1.5% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 32.5% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 9.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 83.0% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 60.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 71.5% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.5% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 5.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 67.7% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 44.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 61.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $54,697 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $434,800 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,131 | $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 | 78.9 yr ± 1.46 | 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 1.46 years of 78.9, 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