ZIP code
10601
in White Plains, New YorkPopulation 11,930
65.13/ 100
Ranked #1,953 of 32,066 US ZIPs (top 6.1%)
Ranked #273 of 1,730 New York ZIPs (top 16%)
Ranked #422 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (top 49%)
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
2.4 per 1,000 residents
in the top 0.7% 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
5.2 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST98thUS99thDefinition & 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 ›Recreation access
1.9 per 1,000 residents
in the top 2.0% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Grocery access
0.42 per 1,000 residents
in the top 2.2% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Walkability
210 intersections/sq mi
in the top 2.2% nationally
Higher is healthier
ST94thUS98thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Households without a vehicle
29.7%
in the top 2.4% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Pharmacy access
0.67 per 1,000 residents
in the top 2.6% 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 ›Transportation noise
19.4%
in the top 2.6% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Mental-health provider access
0.25 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of mental-health clinics 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 ›Outpatient-care access
0.76 per 1,000 residents
in the top 3.4% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of outpatient clinics 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 ›The read
ZIP 10601, one of several in White Plains, New York ranks in the top 6.1% healthiest ZIPs nationally (1,953rd) and the top 16% of New York (273rd).
A profile of give and take, with clear readings each way: dental providers sits in the top 0.7% nationally, and physicians resides in the top 1.2% nationally. Recreation stands in the top 2.0% nationally, and grocery sits in the top 2.2% nationally. Walkability resides in the top 2.2% nationally, pharmacy stands in the top 2.6% nationally, and mental-health providers sits in the top 2.8% nationally. Outpatient resides in the top 3.4% nationally. On the other side, households without a vehicle stands in the top 2.4% nationally, and modeled transportation noise sits in the top 2.6% nationally.
Against its neighbors, walkability runs far higher than the surrounding ZIPs on this measure. For context, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The closest ZIP that ranks healthier overall is ZIP 10603, 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 New York-Newark-Jersey City, NY-NJ 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 84%
21%
Social Need / SDOH
healthier than 93%
16%
Preventive Care
healthier than 75%
13%
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 87%
5%
Healthcare Access
healthier than 83%
5%
About typical
Environmental Hazard
healthier than 41%
14%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Social Need / SDOH
healthier than 91%
16%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 84%
8%
Climate / Disaster Risk
healthier than 67%
5%
Healthcare Access
healthier than 78%
5%
About typical
Disability
healthier than 49%
7%
Holding it back
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 32%
13%
Lifting this score
Social Need / SDOH
healthier than 71%
16%
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 72%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Environmental Hazard
healthier than 58%
14%
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 52%
11%
Mental Health
healthier than 57%
8%
Holding it back
Disability
healthier than 27%
7%
“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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 81.9 ± 1.8 years. A median household income of $85,859 predicts 79.5 years — 2.4 years above.
Ranked #694 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
10603
New Yorkshares a border
Score 66.34
Closest healthier
10604
New Yorkshares a border
Score 65.78
Similar health profile
07712
New Jersey99% similar profile
Score 64.72
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 | 23.9% | 21.9–25.9 |
| High blood pressure among adults | 30.4% | 28.0–32.7 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.8–8.1 |
| Current asthma among adults | 9.3% | 8.3–10.3 |
| Coronary heart disease among adults | 5.9% | 5.3–6.5 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.8–6.0 |
| Depression among adults | 15.3% | 13.4–17.2 |
| Diagnosed diabetes among adults | 11.4% | 10.1–12.7 |
| High cholesterol among adults who have ever been screened | 35.9% | 33.1–38.5 |
| Obesity among adults | 26.7% | 23.5–29.9 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.7–14.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.6–10.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.0% | 74.4–79.1 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 77.4–82.0 |
| Cholesterol screening among adults | 89.6% | 88.3–90.8 |
| Colorectal cancer screening among adults aged 45–75 years | 67.1% | 63.4–70.6 |
| Visited dentist or dental clinic in the past year among adults | 64.6% | 61.8–67.4 |
| Mammography use among women aged 50-74 years | 79.8% | 74.4–84.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.2% | 12.2–16.1 |
| Current cigarette smoking among adults | 10.0% | 8.7–11.4 |
| No leisure-time physical activity among adults | 24.9% | 22.1–27.8 |
| Short sleep duration among adults | 36.9% | 33.2–40.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 15.0–18.8 |
| Frequent mental distress among adults | 13.8% | 12.3–15.3 |
| Frequent physical distress among adults | 11.9% | 10.5–13.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.2% | 9.9–12.5 |
| Any disability among adults | 25.1% | 22.5–27.7 |
| Hearing disability among adults | 5.5% | 5.0–6.2 |
| Independent living disability among adults | 7.2% | 6.4–8.0 |
| Mobility disability among adults | 12.8% | 11.3–14.3 |
| Self-care disability among adults | 3.7% | 3.4–4.1 |
| Vision disability among adults | 5.4% | 4.8–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.3% | 20.4–26.1 |
| Food insecurity in the past 12 months among adults | 16.0% | 13.9–18.2 |
| Received food stamps in the past 12 months among adults | 13.2% | 11.5–15.1 |
| Housing insecurity in the past 12 months among adults | 14.0% | 12.2–15.8 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 7.2–9.3 |
| Loneliness among adults | 31.6% | 28.0–35.0 |
| Utility services shut-off threat in the past 12 months among adults | 8.2% | 7.2–9.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.2% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 5.5% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 11.4% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 51.5% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 29.7% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 93.8% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 42.9% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 35.7% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 6.7% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 34.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 62.5% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 20.9% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 41.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $85,859 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $372,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $2,197 | $1,021 ($677–$1,912) n=25,670 | $1,162 ($782–$2,359) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 81.9 yr ± 0.92 | 78.9 yr (74.7–82.8) n=31,308 | 80.9 yr (78.0–84.5) n=1,692 |
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 0.92 years of 81.9, 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