ZIP code
90670
in Santa Fe Springs, CaliforniaPopulation 17,851
52.44/ 100
Ranked #12,842 of 32,066 US ZIPs (top 40%)
Ranked #915 of 1,719 California ZIPs (bottom 47%)
Ranked #255 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 31%)
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
4.8%
in the top 1.5% nationally
Lower is healthier
ST90thUS99thDefinition & 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 ›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 ›Expected annual disaster loss
$0
in the top 2.3% nationally
Lower is healthier
ST86thUS98thDefinition & 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 ›Mental-health provider access
0.28 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of mental-health clinics located 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 ›Fine-particle (PM2.5) exceedance
2.9%
in the top 2.5% nationally
Lower is healthier
ST75thUS98thDefinition & 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 ›Loneliness
41%
in the top 2.8% nationally
Lower is healthier
ST89thUS97thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Natural-disaster risk
in the top 3.2% nationally
Lower is healthier
ST87thUS97thDefinition & 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 ›Transit access
6.2 per 1,000 residents
in the top 3.4% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of public-transit stops 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 ›Colon-cancer screening
55.1%
in the bottom 5.0% nationally
Higher is healthier
ST22ndUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Outpatient-care access
0.68 per 1,000 residents
in the top 4.2% nationally
Higher is healthier
ST93rdUS96thDefinition & source ›
The number of outpatient clinics located 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
Overall, Santa Fe Springs, California (ZIP 90670) places in the top 40% healthiest ZIPs nationally (12,842nd) and the bottom 47% of California (915th).
The measures fall on both sides for this area, fairly evenly: mental-health providers resides in the top 2.3% nationally, and transit is in the top 3.4% nationally. Outpatient lands in the top 4.2% nationally. Pulling the other way, modeled loud transportation noise stands in the top 1.5% nationally, distance to a Superfund site registers at the national minimum, and modeled expected annual loss settles in the top 2.3% nationally. Modeled fine-particle sits in the top 2.5% nationally, loneliness lies in the top 2.8% nationally, and disaster risk rests in the top 3.2% nationally. Modeled colon screening resides in the bottom 5.0% nationally.
For readers new to these terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Among nearby ZIPs, the nearest healthier one overall is ZIP 90240, 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 Los Angeles-Long Beach-Anaheim, 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 88%
21%
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 84%
8%
Climate / Disaster Risk
healthier than 89%
5%
Healthcare Access
healthier than 89%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Holding it back
Environmental Hazard
in the bottom 0.3%
14%
Preventive Care
healthier than 10%
13%
Disability
healthier than 36%
7%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Mental Health
healthier than 84%
8%
Climate / Disaster Risk
healthier than 75%
5%
Healthcare Access
healthier than 78%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Risk Behavior
healthier than 40%
11%
Holding it back
Environmental Hazard
healthier than 2%
14%
Preventive Care
healthier than 28%
13%
Disability
healthier than 34%
7%
Lifting this score
Mental Health
healthier than 70%
8%
Climate / Disaster Risk
healthier than 64%
5%
Healthcare Access
healthier than 63%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 37%
11%
Disability
healthier than 26%
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
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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.7 ± 1.9 years. A median household income of $88,872 predicts 79.6 years — 2.1 years above.
Ranked #914 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 0.3 (bottom 1%); chronic-disease standing 87.9 — 88 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,735 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 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 81.7 ± 1.9 years.
Ranked #504 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
90240
Californiashares a border
Score 56.44
Closest healthier
90605
Californiashares a border
Score 54.58
Similar health profile
90810
California98% similar profile
Score 51.87
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 | 20.0% | 18.4–21.6 |
| High blood pressure among adults | 30.4% | 28.4–32.5 |
| Cancer (non-skin) or melanoma among adults | 5.4% | 4.9–5.8 |
| Current asthma among adults | 8.7% | 7.9–9.6 |
| Coronary heart disease among adults | 5.6% | 5.1–6.2 |
| Chronic obstructive pulmonary disease among adults | 4.6% | 4.1–5.2 |
| Depression among adults | 18.1% | 16.3–19.9 |
| Diagnosed diabetes among adults | 14.0% | 12.7–15.4 |
| High cholesterol among adults who have ever been screened | 37.6% | 35.3–39.9 |
| Obesity among adults | 28.3% | 25.4–31.3 |
| Stroke among adults | 3.3% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 9.7% | 8.0–11.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.7% | 13.1–18.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.1% | 69.7–74.5 |
| Visits to doctor for routine checkup within the past year among adults | 71.3% | 68.9–73.7 |
| Cholesterol screening among adults | 84.9% | 83.1–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 55.1% | 51.5–58.3 |
| Visited dentist or dental clinic in the past year among adults | 58.8% | 56.2–61.2 |
| Mammography use among women aged 50-74 years | 74.4% | 69.1–78.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 13.2–16.5 |
| Current cigarette smoking among adults | 10.7% | 9.4–12.3 |
| No leisure-time physical activity among adults | 29.8% | 27.1–33.1 |
| Short sleep duration among adults | 36.2% | 33.3–39.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.4% | 24.9–30.2 |
| Frequent mental distress among adults | 15.9% | 14.4–17.5 |
| Frequent physical distress among adults | 15.4% | 14.0–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.2% | 14.5–18.0 |
| Any disability among adults | 34.2% | 31.6–37.3 |
| Hearing disability among adults | 6.3% | 5.6–6.9 |
| Independent living disability among adults | 9.0% | 8.0–10.1 |
| Mobility disability among adults | 16.5% | 15.0–18.3 |
| Self-care disability among adults | 4.9% | 4.4–5.5 |
| Vision disability among adults | 7.7% | 6.9–8.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.1% | 29.3–35.0 |
| Food insecurity in the past 12 months among adults | 23.9% | 21.0–26.9 |
| Received food stamps in the past 12 months among adults | 19.4% | 16.8–22.2 |
| Housing insecurity in the past 12 months among adults | 20.1% | 17.8–22.6 |
| Lack of reliable transportation in the past 12 months among adults | 11.1% | 9.8–12.6 |
| Loneliness among adults | 41.0% | 38.0–44.0 |
| Utility services shut-off threat in the past 12 months among adults | 8.2% | 7.2–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.9% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 5.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 22.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 22.7% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 7.1% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 94.7% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 42.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 62.8% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 8.3% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 24.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 42.0% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 17.4% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 39.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $88,872 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $659,600 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,994 | $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 | 81.7 yr ± 0.97 | 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 0.97 years of 81.7, 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