ZIP code
96113
in Herlong, CaliforniaPopulation 2,039
36.97/ 100
Ranked #28,540 of 32,066 US ZIPs (bottom 11.0%)
Ranked #1,580 of 1,719 California ZIPs (bottom 8.1%)
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.
Fine-particle (PM2.5) exceedance
8.5%
in the top 0.2% nationally
Lower is healthier
ST97thUS99thDefinition & 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 ›Colon-cancer screening
50%
in the bottom 2.0% nationally
Higher is healthier
ST9thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Slow internet speeds
27.1%
in the top 1.0% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Energy-cost burden
6.3%
in the top 2.2% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›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 ›Distance to a nursing home
26.6 mi
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to an emergency room
26.6 mi
in the top 2.6% 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 ›Short sleep
44.2%
in the top 4.2% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Binge drinking
20.7%
in the top 3.9% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
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 ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People without health insurance
- Food insecurity
- Housing insecurity
Barriers to reaching care
- Distance to the nearest emergency room
- Distance to the nearest community health center
- Thin local supply of doctors
- Thin local supply of pharmacies
- Limited home internet for telehealth
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
Herlong, California (ZIP 96113), overall, ranks in the bottom 11.0% nationally (28,540th) and the bottom 8.1% of California (1,580th).
This area's defining measures are easy to pick out: modeled fine-particle registers in the top 0.2% nationally, modeled colon screening resides in the bottom 2.0% nationally, and slow internet speeds settles in the top 1.0% nationally. Modeled energy burden is in the top 2.2% nationally, distance to a nursing home sits in the top 2.0% nationally, and distance to an emergency room lands in the top 2.6% nationally. Modeled short sleep lies in the top 4.2% nationally, and binge drinking stands in the top 3.9% nationally. Modeled tree cover rests at the national minimum. On the brighter side, fatal road crashes registers at the national minimum.
Measured against the nearby ZIPs, slow internet speeds 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. Energy burden is the share of household income that goes to home energy bills. ZIP 96136, about 0.1 miles away, comes out healthier overall. This area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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
Chronic Disease Burden
healthier than 80%
21%
Climate / Disaster Risk
healthier than 93%
5%
Holding it back
Social Need / SDOH
in the bottom 1.0%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 31%
8%
Disability
healthier than 27%
7%
Healthcare Access
in the bottom 1.0%
5%
Lifting this score
Environmental Hazard
healthier than 67%
14%
Climate / Disaster Risk
healthier than 87%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Holding it back
Social Need / SDOH
in the bottom 0.7%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
in the bottom 0.2%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 26%
7%
Healthcare Access
in the bottom 1.0%
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
96109
Californiashares a border
Score 31.94
Closest healthier
96136
Californiaabout 0.1 mi away
Score 36.98
Similar health profile
99559
Alaska93% similar profile
Score 39.05
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 | 18.3% | 15.9–21.0 |
| High blood pressure among adults | 32.3% | 28.3–36.7 |
| Cancer (non-skin) or melanoma among adults | 4.8% | 4.4–5.3 |
| Current asthma among adults | 9.5% | 8.4–10.8 |
| Coronary heart disease among adults | 6.0% | 5.3–6.7 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.0–7.9 |
| Depression among adults | 21.3% | 18.2–25.1 |
| Diagnosed diabetes among adults | 11.5% | 9.9–13.2 |
| High cholesterol among adults who have ever been screened | 30.8% | 26.8–35.3 |
| Obesity among adults | 38.6% | 30.5–47.4 |
| Stroke among adults | 3.4% | 3.1–3.7 |
| All teeth lost among adults aged >=65 years | 21.5% | 17.8–25.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.6% | 13.0–20.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 60.6% | 56.7–64.4 |
| Visits to doctor for routine checkup within the past year among adults | 64.5% | 59.7–69.2 |
| Cholesterol screening among adults | 76.8% | 73.6–79.7 |
| Colorectal cancer screening among adults aged 45–75 years | 50.0% | 44.7–55.5 |
| Visited dentist or dental clinic in the past year among adults | 46.5% | 42.8–50.3 |
| Mammography use among women aged 50-74 years | 70.7% | 62.1–78.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.7% | 17.1–24.7 |
| Current cigarette smoking among adults | 20.5% | 17.4–23.9 |
| No leisure-time physical activity among adults | 28.6% | 23.6–34.1 |
| Short sleep duration among adults | 44.2% | 36.9–51.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.0% | 25.1–33.2 |
| Frequent mental distress among adults | 20.3% | 18.1–22.9 |
| Frequent physical distress among adults | 15.8% | 13.9–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.0% | 17.5–22.8 |
| Any disability among adults | 37.2% | 32.2–42.5 |
| Hearing disability among adults | 6.6% | 5.9–7.5 |
| Independent living disability among adults | 10.5% | 9.2–11.9 |
| Mobility disability among adults | 14.8% | 12.7–17.0 |
| Self-care disability among adults | 5.3% | 4.7–6.0 |
| Vision disability among adults | 7.3% | 6.5–8.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.4% | 27.8–37.1 |
| Food insecurity in the past 12 months among adults | 27.8% | 23.3–32.7 |
| Received food stamps in the past 12 months among adults | 28.0% | 23.7–32.4 |
| Housing insecurity in the past 12 months among adults | 23.0% | 19.5–26.5 |
| Lack of reliable transportation in the past 12 months among adults | 14.9% | 12.9–17.2 |
| Loneliness among adults | 36.9% | 31.2–42.8 |
| Utility services shut-off threat in the past 12 months among adults | 13.7% | 11.7–15.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.2% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 0.8% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 47.4% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 3.9% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 1.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 77.6% | 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 | 42.9% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 17.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 45.1% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 5.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 36.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $67,083 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $73,900 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,110 | $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 | 77.2 yr ± 1.22 | 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 1.22 years of 77.2, 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