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ZipVitals

ZIP code

95963

in Orland, CaliforniaPopulation 16,070

43.52/ 100

Ranked #23,891 of 32,066 US ZIPs (bottom 25%)

Ranked #1,366 of 1,719 California ZIPs (bottom 21%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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

4.0%

in the top 1.5% nationally

Lower is healthier

ST83rd
US99th
Definition & 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

40.1 per million

in the top 2.3% nationally

Lower is healthier

ST85th
US98th
Definition & 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 ›

Nitrate in drinking water

16.7%

in the top 2.5% nationally

Lower is healthier

ST91st
US98th
Definition & source ›

The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.

A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.

Full methodology ›

Natural-disaster risk

in the top 2.6% nationally

Lower is healthier

ST90th
US97th
Definition & 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 ›

Dry extreme heat

81.5 days/year

in the top 4.8% nationally

Lower is healthier

ST82nd
US95th
Definition & source ›

The average number of days per year with a modeled daily high of at least 95 °F.

Full methodology ›

Elder-services access

0.18 per 1,000 residents

in the top 7.8% nationally

Higher is healthier

ST95th
US92nd
Definition & source ›

The number of services for older adults and people with disabilities 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

57.8%

in the bottom 8.8% nationally

Higher is healthier

ST32nd
US9th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Humid extreme heat

94.8 days/year

in the top 25% nationally

Lower is healthier

ST92nd
US75th
Definition & 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 ›

The read

On the composite measure, Orland, California (ZIP 95963) stands in the bottom 25% nationally (23,891st) and the bottom 21% of California (1,366th).

continue reading

Several readings make the pressure on this area plain: modeled fine-particle lands in the top 1.5% nationally, and air-toxics cancer risk settles in the top 2.3% nationally. Modeled nitrate rests in the top 2.5% nationally, and disaster risk lands in the top 2.6% nationally. Modeled extreme heat settles in the top 4.8% nationally, colon screening rests in the bottom 8.8% nationally, and housing insecurity lands in the top 13.8% nationally. On the encouraging side, elder services settles in the top 7.8% nationally, and subsidized affordable housing rests in the top 10.9% nationally. Distance to a community health center lands at the national minimum, shared with about 23% of ZIPs.

Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, 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. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 95939, just across the boundary, ranks better overall among the ZIPs nearby.

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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 65%

21%

About typical

Risk Behavior

healthier than 45%

11%

Healthcare Access

healthier than 53%

5%

Holding it back

Social Need / SDOH

healthier than 24%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 9%

13%

Mental Health

healthier than 32%

8%

Disability

healthier than 26%

7%

Climate / Disaster Risk

healthier than 17%

5%

Nothing measured is lifting this score.

Holding it back

Chronic Disease Burden

healthier than 31%

21%

Social Need / SDOH

healthier than 29%

16%

Environmental Hazard

healthier than 19%

14%

Preventive Care

healthier than 28%

13%

Risk Behavior

healthier than 24%

11%

Mental Health

healthier than 22%

8%

Disability

healthier than 25%

7%

Climate / Disaster Risk

healthier than 15%

5%

Healthcare Access

healthier than 33%

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 4.5 (bottom 10%); chronic-disease standing 65.4 — 61 points apart, heavier on the environment than it is on chronic illness.

    Ranked #15,510 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 40.1 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 79.5 ± 1.2 years.

    Ranked #471 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults24.9%22.0–27.9
High blood pressure among adults33.3%29.5–37.3
Cancer (non-skin) or melanoma among adults7.7%7.0–8.5
Current asthma among adults10.4%9.3–11.7
Coronary heart disease among adults7.2%6.5–8.0
Chronic obstructive pulmonary disease among adults7.5%6.7–8.3
Depression among adults23.2%19.8–26.8
Diagnosed diabetes among adults12.8%11.2–14.5
High cholesterol among adults who have ever been screened35.6%31.5–39.9
Obesity among adults32.5%25.2–40.7
Stroke among adults3.9%3.6–4.2
All teeth lost among adults aged >=65 years15.3%12.5–18.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years13.6%11.6–15.8
Taking medicine to control high blood pressure among adults with high blood pressure72.3%69.0–75.3
Visits to doctor for routine checkup within the past year among adults71.5%67.5–75.4
Cholesterol screening among adults83.9%82.1–85.9
Colorectal cancer screening among adults aged 45–75 years57.8%52.3–63.0
Visited dentist or dental clinic in the past year among adults56.5%52.7–60.0
Mammography use among women aged 50-74 years71.5%63.2–78.8
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.1%13.3–19.3
Current cigarette smoking among adults14.5%12.6–16.4
No leisure-time physical activity among adults28.6%24.3–33.3
Short sleep duration among adults36.2%29.6–43.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults26.6%23.7–29.6
Frequent mental distress among adults18.8%16.8–20.9
Frequent physical distress among adults16.4%14.6–18.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults17.9%16.0–19.9
Any disability among adults36.5%32.3–41.0
Hearing disability among adults7.7%6.9–8.6
Independent living disability among adults10.4%9.3–11.5
Mobility disability among adults17.6%15.5–19.7
Self-care disability among adults5.1%4.6–5.5
Vision disability among adults7.1%6.5–7.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults27.2%23.5–31.2
Food insecurity in the past 12 months among adults21.4%18.7–24.4
Received food stamps in the past 12 months among adults20.1%17.6–22.8
Housing insecurity in the past 12 months among adults17.3%15.2–19.8
Lack of reliable transportation in the past 12 months among adults11.1%9.9–12.5
Loneliness among adults36.3%31.1–41.8
Utility services shut-off threat in the past 12 months among adults9.1%8.0–10.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate15.2%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–6411.6%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)20.3%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)15.8%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)7.2%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle4.2%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription89.1%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)32.9%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate63.1%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)3.1%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population18.3%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households48.1%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+16.8%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age37.2 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$68,091$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$372,900$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$1,115$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth79.5 yr ± 0.6278.9 yr (74.7–82.8) n=31,30880.5 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 0.62 years of 79.5, and it’s very unlikely to be off by more than twice that.

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