ZIP code
92277
in Twentynine Palms, CaliforniaPopulation 26,277
46.81/ 100
Ranked #20,392 of 32,066 US ZIPs (bottom 36%)
Ranked #1,244 of 1,719 California ZIPs (bottom 28%)
Ranked #92 of 153 Riverside-San Bernardino-Ontario, CA ZIPs (bottom 40%)
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.
Slow internet speeds
14.2%
in the top 1.2% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Park land
30.3%
in the top 4.7% nationally
Higher is healthier
ST85thUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
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 ›Loneliness
39.6%
in the top 4.9% nationally
Lower is healthier
ST81stUS95thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Dry extreme heat
71.6 days/year
in the top 5.8% nationally
Lower is healthier
ST80thUS94thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Homeownership rate
43.3%
in the bottom 6.2% nationally
Higher is healthier
ST19thUS6thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›High cholesterol
31.4%
in the bottom 5.3% nationally
Lower is healthier
ST8thUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Walkability
2.3 intersections/sq mi
in the bottom 9.3% nationally
Higher is healthier
ST9thUS9thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Colon-cancer screening
57.8%
in the bottom 8.8% nationally
Higher is healthier
ST32ndUS9thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Distance to a Superfund site
53.4 mi
in the top 10.9% nationally
Higher is healthier
ST97thUS89thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›The read
ZIP 92277, one of several in Twentynine Palms, California ranks in the bottom 36% nationally (20,392nd) and the bottom 28% of California (1,244th).
Several readings make the pressure on this area plain: slow internet speeds settles in the top 1.2% nationally, and modeled tree cover rests at the national minimum. Modeled loneliness lands in the top 4.9% nationally, and extreme heat settles in the top 5.8% nationally. Homeownership rests in the bottom 6.2% nationally, walkability lands in the bottom 9.3% nationally, and modeled colon screening settles in the bottom 8.8% nationally. On the encouraging side, park land rests in the top 4.7% nationally. Distance to an emergency room lands at the national minimum, shared with about 11% of ZIPs. Modeled high cholesterol settles in the bottom 5.3% nationally.
Against its neighbors, slow internet speeds runs far higher than the surrounding ZIPs on this measure. For context, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The closest ZIP that ranks healthier overall is ZIP 92252, 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 Riverside-San Bernardino-Ontario, 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 82%
21%
Environmental Hazard
healthier than 97%
14%
Healthcare Access
healthier than 83%
5%
About typical
Disability
healthier than 42%
7%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 12%
8%
Climate / Disaster Risk
healthier than 24%
5%
Lifting this score
Environmental Hazard
healthier than 97%
14%
Healthcare Access
healthier than 64%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Holding it back
Social Need / SDOH
healthier than 20%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 40%
7%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Environmental Hazard
healthier than 92%
14%
Healthcare Access
healthier than 65%
5%
About typical
Disability
healthier than 58%
7%
Holding it back
Social Need / SDOH
healthier than 33%
16%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 32%
11%
Mental Health
in the bottom 0.7%
8%
Climate / Disaster Risk
healthier than 27%
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
One of our published findings lists 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 75.1 ± 1.7 years. A median household income of $60,901 predicts 78.1 years — 3.0 years below.
Ranked #4,178 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
92236
Californiashares a border
Score 42.94
Closest healthier
92252
Californiashares a border
Score 48.72
Similar health profile
32304
Florida97% similar profile
Score 44.49
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 | 21.5% | 19.4–23.6 |
| High blood pressure among adults | 30.4% | 27.7–33.1 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.2–6.3 |
| Current asthma among adults | 11.3% | 10.1–12.6 |
| Coronary heart disease among adults | 5.6% | 5.1–6.2 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.6–7.0 |
| Depression among adults | 24.5% | 21.6–27.5 |
| Diagnosed diabetes among adults | 10.0% | 8.8–11.2 |
| High cholesterol among adults who have ever been screened | 31.4% | 28.6–34.2 |
| Obesity among adults | 33.1% | 28.9–37.4 |
| Stroke among adults | 3.1% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 15.4% | 12.7–18.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 8.5–11.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.6% | 62.7–68.0 |
| Visits to doctor for routine checkup within the past year among adults | 67.9% | 64.4–71.1 |
| Cholesterol screening among adults | 79.5% | 77.3–81.5 |
| Colorectal cancer screening among adults aged 45–75 years | 57.8% | 53.3–62.5 |
| Visited dentist or dental clinic in the past year among adults | 53.0% | 49.8–56.4 |
| Mammography use among women aged 50-74 years | 70.9% | 64.2–77.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 15.2–20.4 |
| Current cigarette smoking among adults | 14.5% | 12.6–16.4 |
| No leisure-time physical activity among adults | 23.2% | 20.2–26.2 |
| Short sleep duration among adults | 38.8% | 34.7–43.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.7% | 21.3–26.1 |
| Frequent mental distress among adults | 21.5% | 19.4–23.7 |
| Frequent physical distress among adults | 14.2% | 12.7–15.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 16.9–20.8 |
| Any disability among adults | 32.6% | 29.2–35.8 |
| Hearing disability among adults | 5.8% | 5.2–6.5 |
| Independent living disability among adults | 10.4% | 9.4–11.4 |
| Mobility disability among adults | 13.0% | 11.6–14.4 |
| Self-care disability among adults | 4.2% | 3.9–4.6 |
| Vision disability among adults | 6.1% | 5.6–6.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.9% | 25.7–32.2 |
| Food insecurity in the past 12 months among adults | 21.5% | 19.0–24.2 |
| Received food stamps in the past 12 months among adults | 22.4% | 20.0–25.2 |
| Housing insecurity in the past 12 months among adults | 16.8% | 14.9–19.0 |
| Lack of reliable transportation in the past 12 months among adults | 12.3% | 10.9–13.8 |
| Loneliness among adults | 39.6% | 35.6–43.5 |
| Utility services shut-off threat in the past 12 months among adults | 9.5% | 8.3–10.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 10.6% (4.1–24.9%) n=1,714 |
| Uninsured 18–64 | 9.1% | 9.0% (1.5–24.3%) n=32,286 | 7.7% (1.7–17.9%) n=1,704 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 9.8% (1.4–30.9%) n=1,729 |
| Bachelor's or higher (25+) | 26.1% | 23.3% (9.2–53.6%) n=32,505 | 31.3% (9.9–68.2%) n=1,729 |
| Unemployment rate (16+) | 4.9% | 3.9% (0.0–9.8%) n=32,274 | 6.1% (0.8–12.0%) n=1,714 |
| Households without a vehicle | 3.5% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.0–12.2%) n=1,708 |
| Broadband subscription | 95.5% | 89.3% (75.1–97.1%) n=32,322 | 93.4% (82.1–98.4%) n=1,708 |
| Housing cost burden (≥30% income) | 37.8% | 23.7% (10.6–40.0%) n=32,322 | 38.6% (24.4–50.5%) n=1,708 |
| Homeownership rate | 43.3% | 78.7% (51.7–94.0%) n=32,322 | 64.1% (31.9–86.4%) n=1,708 |
| Crowded housing (>1 per room) | 5.0% | 1.3% (0.0–6.3%) n=32,322 | 4.8% (0.0–15.9%) n=1,708 |
| Foreign-born population | 9.4% | 2.6% (0.0–18.6%) n=32,553 | 18.9% (3.0–40.4%) n=1,730 |
| Single-parent households | 44.6% | 53.6% (37.3–74.1%) n=32,087 | 48.4% (35.1–72.3%) n=1,692 |
| Population 65+ | 10.5% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (9.7–35.7%) n=1,730 |
| Median age | 28.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.1 yr (31.8–57.0) n=1,712 |
| Median household income | $60,901 | $72,070 ($46,039–$118,707) n=30,318 | $93,448 ($54,188–$159,562) n=1,584 |
| Median home value | $247,700 | $222,200 ($100,300–$579,820) n=30,049 | $659,800 ($300,520–$1,493,340) n=1,593 |
| Median gross rent | $1,342 | $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 | 75.1 yr ± 0.86 | 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 0.86 years of 75.1, 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