ZIP code
95634
in Georgetown, CaliforniaPopulation 3,536
49.94/ 100
Ranked #16,335 of 32,066 US ZIPs (bottom 49%)
Ranked #1,073 of 1,719 California ZIPs (bottom 38%)
Ranked #85 of 122 Sacramento-Roseville-Folsom, CA ZIPs (bottom 30%)
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
5.9%
in the top 0.8% nationally
Lower is healthier
ST91stUS99thDefinition & 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 ›Arsenic in groundwater
1.1%
in the bottom 3.0% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›Park land
34%
in the top 4.1% nationally
Higher is healthier
ST87thUS96thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Industrial-pollution burden
in the bottom 4.2% nationally
Lower is healthier
ST11thUS4thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Unemployment rate
13.4%
in the top 5.0% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Home broadband subscription
70.5%
in the bottom 6.4% nationally
Higher is healthier
ST3rdUS6thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Air-toxics cancer risk
39.8 per million
in the top 6.8% nationally
Lower is healthier
ST61stUS93rdDefinition & 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 ›Tree cover
63.3%
in the top 12.9% nationally
Higher is healthier
ST92ndUS87thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Distance to a community health center
10.6 mi
in the top 19% nationally
Lower is healthier
ST92ndUS81stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›The read
In overall standing, Georgetown, California (ZIP 95634) comes out in the bottom 49% nationally (16,335th) and the bottom 38% of California (1,073rd).
The profile opens balanced, with readings on either hand: modeled arsenic lies in the bottom 3.0% nationally, park land sits in the top 4.1% nationally, and modeled industrial-pollution burden settles in the bottom 4.2% nationally. Floodplain exposure registers in the bottom 10.5% nationally, and modeled tree cover stands in the top 12.9% nationally. By contrast, modeled fine-particle lands in the top 0.8% nationally, and unemployment is in the top 5.0% nationally. Home broadband subscription resides in the bottom 6.4% nationally, and modeled air-toxics cancer risk rests in the top 6.8% nationally. Fiber broadband lies at the national minimum, shared with about 19% of ZIPs.
Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The nearest healthier ZIP overall is ZIP 95631, 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 Sacramento-Roseville-Folsom, CA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Risk Behavior
healthier than 69%
11%
Climate / Disaster Risk
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Preventive Care
healthier than 48%
13%
Mental Health
healthier than 50%
8%
Disability
healthier than 43%
7%
Holding it back
Social Need / SDOH
healthier than 40%
16%
Environmental Hazard
healthier than 9%
14%
Healthcare Access
healthier than 15%
5%
Lifting this score
Preventive Care
healthier than 68%
13%
Climate / Disaster Risk
healthier than 68%
5%
About typical
Social Need / SDOH
healthier than 42%
16%
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 42%
8%
Disability
healthier than 41%
7%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Environmental Hazard
healthier than 33%
14%
Healthcare Access
healthier than 10%
5%
Lifting this score
Climate / Disaster Risk
healthier than 84%
5%
About typical
Environmental Hazard
healthier than 49%
14%
Preventive Care
healthier than 58%
13%
Mental Health
healthier than 46%
8%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 19%
16%
Risk Behavior
healthier than 23%
11%
Disability
healthier than 24%
7%
Healthcare Access
healthier than 8%
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
95631
Californiashares a border
Score 52.11
Closest healthier
95633
Californiashares a border
Score 50.09
Similar health profile
59868
Montana91% similar profile
Score 51.78
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 | 30.2% | 26.9–33.8 |
| High blood pressure among adults | 37.7% | 33.5–42.0 |
| Cancer (non-skin) or melanoma among adults | 10.9% | 9.9–12.0 |
| Current asthma among adults | 10.4% | 9.2–11.7 |
| Coronary heart disease among adults | 8.4% | 7.6–9.3 |
| Chronic obstructive pulmonary disease among adults | 8.0% | 7.0–9.0 |
| Depression among adults | 23.2% | 19.9–26.9 |
| Diagnosed diabetes among adults | 12.7% | 11.0–14.6 |
| High cholesterol among adults who have ever been screened | 38.0% | 33.5–42.4 |
| Obesity among adults | 30.5% | 24.0–37.6 |
| Stroke among adults | 4.3% | 3.9–4.6 |
| All teeth lost among adults aged >=65 years | 11.2% | 9.1–13.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 5.4–7.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.2% | 73.0–79.4 |
| Visits to doctor for routine checkup within the past year among adults | 75.4% | 71.6–78.9 |
| Cholesterol screening among adults | 88.3% | 86.8–89.7 |
| Colorectal cancer screening among adults aged 45–75 years | 66.4% | 61.5–71.2 |
| Visited dentist or dental clinic in the past year among adults | 62.9% | 59.4–66.4 |
| Mammography use among women aged 50-74 years | 73.4% | 65.4–80.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.6–19.6 |
| Current cigarette smoking among adults | 13.1% | 11.1–15.2 |
| No leisure-time physical activity among adults | 22.2% | 18.5–26.4 |
| Short sleep duration among adults | 34.7% | 29.0–41.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 18.9–24.5 |
| Frequent mental distress among adults | 16.7% | 14.8–18.7 |
| Frequent physical distress among adults | 15.5% | 13.7–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.3% | 12.7–16.0 |
| Any disability among adults | 34.3% | 30.1–38.8 |
| Hearing disability among adults | 8.6% | 7.6–9.6 |
| Independent living disability among adults | 8.7% | 7.8–9.8 |
| Mobility disability among adults | 17.1% | 15.0–19.4 |
| Self-care disability among adults | 4.3% | 3.9–4.8 |
| Vision disability among adults | 5.2% | 4.7–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.9% | 19.4–26.6 |
| Food insecurity in the past 12 months among adults | 12.7% | 10.7–14.8 |
| Received food stamps in the past 12 months among adults | 12.8% | 10.9–14.9 |
| Housing insecurity in the past 12 months among adults | 10.6% | 9.0–12.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.4% | 6.4–8.4 |
| Loneliness among adults | 31.8% | 26.8–36.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.3–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.5% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 3.6% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 4.3% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 22.3% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 13.4% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 70.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 34.7% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 82.7% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 3.1% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 61.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 43.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 59.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $57,328 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $361,300 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,085 | $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 | 82.6 yr ± 1.29 | 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 1.29 years of 82.6, 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