ZIP code
93420
in Arroyo Grande, CaliforniaPopulation 31,345
63.68/ 100
Ranked #2,622 of 32,066 US ZIPs (top 8.2%)
Ranked #326 of 1,719 California ZIPs (top 19%)
Ranked #3 of 21 San Luis Obispo-Paso Robles, CA ZIPs (top 14.3%)
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.
Humid extreme heat
4.9 days/year
in the bottom 3.0% nationally
Lower is healthier
ST7thUS3rdDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Obesity
25.3%
in the bottom 6.0% nationally
Lower is healthier
ST28thUS6thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Energy-cost burden
1.4%
in the bottom 3.8% nationally
Lower is healthier
ST18thUS4thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Natural-disaster risk
in the top 7.1% nationally
Lower is healthier
ST69thUS93rdDefinition & 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 ›Utility shut-off threat
4.5%
in the bottom 7.6% nationally
Lower is healthier
ST16thUS8thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Park land
15.1%
in the top 8.8% nationally
Higher is healthier
ST75thUS91stDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Dental provider access
0.85 per 1,000 residents
in the top 9.6% nationally
Higher is healthier
ST79thUS90thDefinition & source ›
The number of dental offices 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 ›Short sleep
30%
in the bottom 9.7% nationally
Lower is healthier
ST9thUS10thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Colon-cancer screening
69.2%
in the top 26% nationally
Higher is healthier
ST90thUS74thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Overall, Arroyo Grande, California (ZIP 93420) lands in the top 8.2% healthiest ZIPs nationally (2,622nd) and the top 19% of California (326th).
A number of measures place this area on solid footing: modeled humid heat stands in the bottom 3.0% nationally, and obesity lies in the bottom 6.0% nationally. Modeled energy burden lands in the bottom 3.8% nationally, and utility shutoff sits in the bottom 7.6% nationally. Park land is in the top 8.8% nationally, dental providers settles in the top 9.6% nationally, and modeled short sleep resides in the bottom 9.7% nationally. Physicians registers in the top 10.4% nationally, and subsidized affordable housing rests in the top 10.9% nationally. By contrast, modeled disaster risk stands in the top 7.1% nationally.
Set beside the nearby areas, park land runs far higher than the surrounding ZIPs on this measure. A note on the terms: disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Energy burden is the share of household income that goes to home energy bills. For a healthier nearby comparison, ZIP 93449, just across the boundary, ranks better 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. Compare it against the US, this state and the San Luis Obispo-Paso Robles, 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 76%
21%
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 71%
14%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 94%
5%
Healthcare Access
healthier than 84%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 87%
16%
Environmental Hazard
healthier than 83%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 73%
7%
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
healthier than 66%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 73%
16%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 80%
8%
Disability
healthier than 87%
7%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 73%
5%
About typical
Environmental Hazard
healthier than 53%
14%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
“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
93401
Californiashares a border
Score 62.49
Closest healthier
93449
Californiashares a border
Score 64.22
Similar health profile
94037
California99% similar profile
Score 65.57
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 | 27.1% | 24.2–30.2 |
| High blood pressure among adults | 34.2% | 30.6–38.0 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.9–11.9 |
| Current asthma among adults | 9.9% | 8.8–11.1 |
| Coronary heart disease among adults | 6.7% | 6.0–7.4 |
| Chronic obstructive pulmonary disease among adults | 5.7% | 5.1–6.4 |
| Depression among adults | 21.8% | 18.8–25.0 |
| Diagnosed diabetes among adults | 10.2% | 8.8–11.6 |
| High cholesterol among adults who have ever been screened | 37.0% | 33.0–41.0 |
| Obesity among adults | 25.3% | 20.3–30.8 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 7.8% | 6.2–9.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 4.9–6.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.2% | 71.9–78.2 |
| Visits to doctor for routine checkup within the past year among adults | 75.4% | 71.9–78.6 |
| Cholesterol screening among adults | 89.7% | 88.4–90.8 |
| Colorectal cancer screening among adults aged 45–75 years | 69.2% | 64.4–73.6 |
| Visited dentist or dental clinic in the past year among adults | 71.1% | 67.9–74.3 |
| Mammography use among women aged 50-74 years | 78.4% | 71.5–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.7–18.1 |
| Current cigarette smoking among adults | 9.2% | 7.9–10.7 |
| No leisure-time physical activity among adults | 18.3% | 15.3–21.5 |
| Short sleep duration among adults | 30.0% | 24.7–35.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 14.8–19.0 |
| Frequent mental distress among adults | 14.7% | 13.1–16.4 |
| Frequent physical distress among adults | 12.7% | 11.3–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.9% | 10.5–13.3 |
| Any disability among adults | 27.8% | 24.3–31.4 |
| Hearing disability among adults | 7.1% | 6.4–8.0 |
| Independent living disability among adults | 6.9% | 6.1–7.6 |
| Mobility disability among adults | 13.1% | 11.5–14.8 |
| Self-care disability among adults | 3.2% | 2.9–3.5 |
| Vision disability among adults | 4.0% | 3.7–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.5–25.9 |
| Food insecurity in the past 12 months among adults | 9.4% | 8.0–10.9 |
| Received food stamps in the past 12 months among adults | 8.3% | 7.1–9.6 |
| Housing insecurity in the past 12 months among adults | 8.3% | 7.1–9.6 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 5.0–6.5 |
| Loneliness among adults | 32.0% | 27.6–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.9–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.4% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 6.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 44.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 91.8% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 37.0% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 66.4% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 2.2% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 7.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 62.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 28.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 48.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $110,553 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $917,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $2,187 | $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 | 81.5 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 81.5, 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