ZIP code
91723
in Covina, CaliforniaPopulation 17,733
57.02/ 100
Ranked #7,248 of 32,066 US ZIPs (top 23%)
Ranked #671 of 1,719 California ZIPs (top 39%)
Ranked #207 of 371 Los Angeles-Long Beach-Anaheim, CA ZIPs (bottom 44%)
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.
Dental provider access
2.7 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Physician access
3.5 per 1,000 residents
in the top 2.7% nationally
Higher is healthier
ST96thUS97thDefinition & source ›
The number of physicians’ 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 ›Pharmacy access
0.66 per 1,000 residents
in the top 2.7% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of pharmacies 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 ›Walkability
190 intersections/sq mi
in the top 3.0% nationally
Higher is healthier
ST94thUS97thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Loneliness
40.7%
in the top 3.1% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Colon-cancer screening
55%
in the bottom 4.9% nationally
Higher is healthier
ST21stUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fine-particle (PM2.5) exceedance
2.2%
in the top 4.3% nationally
Lower is healthier
ST67thUS96thDefinition & 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 ›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 ›Fatal road crashes
1.1 per 100,000 residents per year
in the bottom 4.7% nationally
Lower is healthier
ST3rdUS5thDefinition & 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 ›The read
ZIP 91723, one of several in Covina, California, by its composite score, sits in the top 23% healthiest ZIPs nationally (7,248th) and the top 39% of California (671st).
The measures fall on both sides for this area, fairly evenly: dental providers sits in the top 0.5% nationally, and physicians lies in the top 2.7% nationally. Pharmacy rests in the top 2.7% nationally, and walkability resides in the top 3.0% nationally. Floodplain exposure is at the national minimum, and fatal road crashes lands in the bottom 4.7% nationally. Pulling the other way, modeled loneliness stands in the top 3.1% nationally, colon screening registers in the bottom 4.9% nationally, and fine-particle settles in the top 4.3% nationally. Modeled air-toxics cancer risk sits in the top 4.5% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, 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. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". For a healthier comparison close by, see ZIP 91724, 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 95%
21%
Social Need / SDOH
healthier than 62%
16%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 69%
7%
Healthcare Access
in the top 0.00%
5%
Holding it back
Environmental Hazard
healthier than 5%
14%
Preventive Care
healthier than 12%
13%
Climate / Disaster Risk
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Mental Health
healthier than 80%
8%
Disability
healthier than 64%
7%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 59%
16%
Risk Behavior
healthier than 49%
11%
Holding it back
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 33%
13%
Climate / Disaster Risk
healthier than 26%
5%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Mental Health
healthier than 61%
8%
Healthcare Access
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Environmental Hazard
healthier than 49%
14%
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 44%
11%
Disability
healthier than 51%
7%
Holding it back
Climate / Disaster Risk
healthier than 3%
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
2 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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 5.1 (bottom 10%); chronic-disease standing 95.0 (top 10%) — 90 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,865 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 80.0 ± 1.7 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
91722
Californiashares a border
Score 55.74
Closest healthier
91724
Californiashares a border
Score 58.21
Similar health profile
30341
Georgia98% similar profile
Score 57.48
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 | 18.1% | 16.7–19.6 |
| High blood pressure among adults | 27.2% | 25.3–29.1 |
| Cancer (non-skin) or melanoma among adults | 5.3% | 4.9–5.8 |
| Current asthma among adults | 8.8% | 7.9–9.7 |
| Coronary heart disease among adults | 4.4% | 4.0–4.9 |
| Chronic obstructive pulmonary disease among adults | 4.0% | 3.6–4.4 |
| Depression among adults | 18.7% | 16.9–20.7 |
| Diagnosed diabetes among adults | 11.1% | 10.0–12.3 |
| High cholesterol among adults who have ever been screened | 35.3% | 33.1–37.6 |
| Obesity among adults | 26.3% | 23.4–29.0 |
| Stroke among adults | 2.7% | 2.5–2.9 |
| All teeth lost among adults aged >=65 years | 9.1% | 7.4–10.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.9% | 10.1–13.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.7% | 67.1–72.1 |
| Visits to doctor for routine checkup within the past year among adults | 70.9% | 68.4–73.2 |
| Cholesterol screening among adults | 85.4% | 83.8–86.9 |
| Colorectal cancer screening among adults aged 45–75 years | 55.0% | 51.5–58.2 |
| Visited dentist or dental clinic in the past year among adults | 61.5% | 59.0–63.8 |
| Mammography use among women aged 50-74 years | 75.7% | 70.6–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 14.2–17.7 |
| Current cigarette smoking among adults | 9.8% | 8.6–11.1 |
| No leisure-time physical activity among adults | 24.7% | 22.2–27.3 |
| Short sleep duration among adults | 36.1% | 33.2–38.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.0% | 20.0–24.1 |
| Frequent mental distress among adults | 15.9% | 14.5–17.4 |
| Frequent physical distress among adults | 13.3% | 12.1–14.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.6% | 13.2–16.2 |
| Any disability among adults | 29.4% | 27.0–31.9 |
| Hearing disability among adults | 5.0% | 4.5–5.6 |
| Independent living disability among adults | 7.6% | 6.8–8.4 |
| Mobility disability among adults | 12.8% | 11.5–14.1 |
| Self-care disability among adults | 3.7% | 3.4–4.1 |
| Vision disability among adults | 5.6% | 5.1–6.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.2% | 28.6–34.2 |
| Food insecurity in the past 12 months among adults | 18.9% | 16.7–21.4 |
| Received food stamps in the past 12 months among adults | 15.0% | 13.0–17.1 |
| Housing insecurity in the past 12 months among adults | 17.0% | 15.2–19.1 |
| Lack of reliable transportation in the past 12 months among adults | 9.3% | 8.3–10.5 |
| Loneliness among adults | 40.7% | 37.8–43.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 6.1–8.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 7.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 11.6% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 25.2% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 8.3% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 93.1% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 41.9% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 43.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 7.9% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 20.5% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 46.4% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 12.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 37.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $94,167 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $717,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,801 | $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 | 80.0 yr ± 0.87 | 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 0.87 years of 80.0, 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