ZIP code
94804
in Richmond, CaliforniaPopulation 44,891
48.75/ 100
Ranked #17,986 of 32,066 US ZIPs (bottom 44%)
Ranked #1,154 of 1,719 California ZIPs (bottom 33%)
Ranked #167 of 174 San Francisco-Oakland-Fremont, CA ZIPs (bottom 4.1%)
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.
Loud transportation noise
6.0%
in the top 0.9% nationally
Lower is healthier
ST95thUS99thDefinition & 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
1,225 units
in the top 1.0% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Expected annual disaster loss
$1
in the top 1.0% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
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 ›Transportation noise
21.4%
in the top 2.2% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›Crowded housing
11.1%
in the top 3.9% nationally
Lower is healthier
ST79thUS96thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
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 ›Industrial-pollution burden
in the top 4.7% nationally
Lower is healthier
ST99thUS95thDefinition & 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 ›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 ›Housing-cost burden
45.2%
in the top 5.3% nationally
Lower is healthier
ST79thUS95thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
Overall, ZIP 94804, one of several in Richmond, California places in the bottom 44% nationally (17,986th) and the bottom 33% of California (1,154th).
The measures that define this area's challenges come through directly: modeled loud transportation noise resides in the top 0.9% nationally, and expected annual loss is in the top 1.0% nationally. Distance to a Superfund site lands at the national minimum, and modeled transportation noise stands in the top 2.2% nationally. Crowded housing registers in the top 3.9% nationally, modeled industrial-pollution burden settles in the top 4.7% nationally, and modeled tree cover sits at the national minimum. Housing-cost burden lies in the top 5.3% nationally. On the stronger side, subsidized affordable housing rests in the top 1.0% nationally, and lead in tap water resides at the national minimum.
Beside the areas that surround it, subsidized affordable housing runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Among nearby ZIPs, the nearest healthier one overall is ZIP 94530, 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 San Francisco-Oakland-Fremont, 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 81%
21%
Healthcare Access
healthier than 83%
5%
About typical
Risk Behavior
healthier than 40%
11%
Mental Health
healthier than 56%
8%
Holding it back
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 9%
13%
Disability
healthier than 38%
7%
Climate / Disaster Risk
healthier than 33%
5%
Lifting this score
Healthcare Access
healthier than 65%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Mental Health
healthier than 49%
8%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Environmental Hazard
healthier than 26%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 20%
11%
Disability
healthier than 36%
7%
Climate / Disaster Risk
healthier than 29%
5%
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 14%
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 ›
Findings that name this ZIP
3 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 77.3 ± 1.2 years. A median household income of $91,037 predicts 79.7 years — 2.4 years below.
Ranked #3,232 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 77.3 ± 1.2 years. The 46 nearest ZIP codes with estimates average 81.7 years — 4.4 years below them.
Ranked #3,174 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 6.2 (bottom 10%); chronic-disease standing 81.3 — 75 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,846 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
94530
Californiashares a border
Score 67.76
Closest healthier
94706
Californiashares a border
Score 69.59
Similar health profile
91768
California98% similar profile
Score 48.02
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 | 20.5% | 18.4–22.8 |
| High blood pressure among adults | 32.3% | 29.3–35.3 |
| Cancer (non-skin) or melanoma among adults | 4.9% | 4.4–5.4 |
| Current asthma among adults | 10.3% | 9.2–11.6 |
| Coronary heart disease among adults | 5.4% | 4.9–6.0 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 4.9–6.1 |
| Depression among adults | 19.9% | 17.2–22.7 |
| Diagnosed diabetes among adults | 13.2% | 11.7–14.8 |
| High cholesterol among adults who have ever been screened | 33.8% | 30.5–37.1 |
| Obesity among adults | 34.0% | 29.1–38.8 |
| Stroke among adults | 3.5% | 3.3–3.8 |
| All teeth lost among adults aged >=65 years | 13.9% | 11.5–16.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.1% | 12.1–16.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.0% | 66.8–72.9 |
| Visits to doctor for routine checkup within the past year among adults | 70.0% | 66.2–73.5 |
| Cholesterol screening among adults | 83.4% | 81.4–85.2 |
| Colorectal cancer screening among adults aged 45–75 years | 58.0% | 53.3–62.4 |
| Visited dentist or dental clinic in the past year among adults | 57.2% | 53.8–60.5 |
| Mammography use among women aged 50-74 years | 74.9% | 67.9–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.5–17.5 |
| Current cigarette smoking among adults | 12.7% | 11.1–14.6 |
| No leisure-time physical activity among adults | 30.8% | 27.2–34.6 |
| Short sleep duration among adults | 39.7% | 34.9–44.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.0% | 23.3–28.7 |
| Frequent mental distress among adults | 18.4% | 16.5–20.4 |
| Frequent physical distress among adults | 14.5% | 12.9–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.6% | 14.9–18.5 |
| Any disability among adults | 32.7% | 29.3–36.2 |
| Hearing disability among adults | 5.3% | 4.8–6.0 |
| Independent living disability among adults | 10.0% | 9.0–11.1 |
| Mobility disability among adults | 15.3% | 13.6–17.1 |
| Self-care disability among adults | 5.0% | 4.6–5.5 |
| Vision disability among adults | 7.4% | 6.7–8.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.6% | 26.3–33.2 |
| Food insecurity in the past 12 months among adults | 25.4% | 22.6–28.2 |
| Received food stamps in the past 12 months among adults | 24.2% | 21.7–26.7 |
| Housing insecurity in the past 12 months among adults | 20.9% | 18.6–23.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.3% | 11.9–14.8 |
| Loneliness among adults | 38.7% | 34.6–43.0 |
| Utility services shut-off threat in the past 12 months among adults | 11.5% | 10.1–13.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.8% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 11.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 21.2% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 32.8% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 6.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.2% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 45.2% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 53.6% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 11.1% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 32.8% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 35.9% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 36.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $91,037 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $631,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,826 | $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 | 77.3 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 77.3, 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