ZIP code
22181
in Vienna, VirginiaPopulation 15,760
73.67/ 100
Ranked #117 of 32,066 US ZIPs (top 0.4%)
Ranked #11 of 873 Virginia ZIPs (top 1.3%)
Ranked #21 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (top 6.9%)
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.
Median household income
$211,911
in the top 0.8% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Food insecurity
5.7%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Lack of transportation
3.8%
in the bottom 1.0% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Housing insecurity
5.3%
in the bottom 1.1% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
3.3%
in the bottom 1.1% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Obesity
22%
in the bottom 2.1% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›PFAS in drinking water
75.1%
in the top 3.1% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Independent-living disability
4.3%
in the bottom 0.7% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Cognitive disability
8.9%
in the bottom 1.9% nationally
Lower is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Tooth loss
3.0%
in the bottom 0.10% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
ZIP 22181, one of several in Vienna, Virginia ranks in the top 0.4% healthiest ZIPs nationally (117th) and the top 1.3% of Virginia (11th).
A balanced set of signals defines this area, not any single one: household income lies in the top 0.8% nationally, and modeled food insecurity is in the bottom 1.0% nationally. Modeled transportation registers in the bottom 1.0% nationally, and housing insecurity lies in the bottom 1.1% nationally. Modeled utility shutoff is in the bottom 1.1% nationally, obesity registers in the bottom 2.1% nationally, and independent living disability lies in the bottom 0.7% nationally. Modeled cognitive disability is in the bottom 1.9% nationally, and tooth loss registers in the bottom 0.10% nationally. By contrast, modeled pfas lies in the top 3.1% nationally.
Against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. For context, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. The closest ZIP that ranks healthier overall is ZIP 22124, 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 Washington-Arlington-Alexandria, DC-VA-MD-WV 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 95%
21%
Social Need / SDOH
healthier than 99%
16%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 99%
7%
Healthcare Access
healthier than 65%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Climate / Disaster Risk
healthier than 56%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Social Need / SDOH
healthier than 97%
16%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 98%
11%
Mental Health
healthier than 99%
8%
Disability
healthier than 98%
7%
Climate / Disaster Risk
healthier than 64%
5%
Healthcare Access
healthier than 73%
5%
Holding it back
Environmental Hazard
healthier than 27%
14%
Lifting this score
Chronic Disease Burden
healthier than 81%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 89%
7%
About typical
Environmental Hazard
healthier than 42%
14%
Climate / Disaster Risk
healthier than 59%
5%
Healthcare Access
healthier than 47%
5%
Nothing measured is holding this score back.
“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
20191
Virginiashares a border
Score 68.25
Closest healthier
22124
Virginiashares a border
Score 74.18
Similar health profile
20759
Maryland100% similar profile
Score 75.98
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 | 21.8% | 19.5–24.3 |
| High blood pressure among adults | 28.2% | 25.4–31.2 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.5–9.1 |
| Current asthma among adults | 9.0% | 8.0–10.1 |
| Coronary heart disease among adults | 4.6% | 4.1–5.2 |
| Chronic obstructive pulmonary disease among adults | 3.5% | 3.0–4.1 |
| Depression among adults | 18.6% | 16.2–21.2 |
| Diagnosed diabetes among adults | 9.2% | 8.0–10.5 |
| High cholesterol among adults who have ever been screened | 38.3% | 35.0–41.8 |
| Obesity among adults | 22.0% | 18.5–25.9 |
| Stroke among adults | 2.2% | 2.0–2.4 |
| All teeth lost among adults aged >=65 years | 3.0% | 2.4–3.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.8% | 4.0–5.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.8% | 73.7–79.7 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 75.9–81.6 |
| Cholesterol screening among adults | 91.2% | 90.0–92.4 |
| Colorectal cancer screening among adults aged 45–75 years | 69.9% | 66.3–73.2 |
| Visited dentist or dental clinic in the past year among adults | 79.2% | 77.0–81.3 |
| Mammography use among women aged 50-74 years | 81.5% | 76.3–85.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 12.3–16.9 |
| Current cigarette smoking among adults | 6.3% | 5.2–7.6 |
| No leisure-time physical activity among adults | 15.5% | 13.2–18.3 |
| Short sleep duration among adults | 31.8% | 28.4–35.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 10.8% | 9.3–12.4 |
| Frequent mental distress among adults | 11.1% | 9.8–12.5 |
| Frequent physical distress among adults | 9.1% | 8.0–10.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.9% | 7.8–10.1 |
| Any disability among adults | 19.7% | 17.2–22.6 |
| Hearing disability among adults | 5.0% | 4.4–5.6 |
| Independent living disability among adults | 4.3% | 3.8–4.9 |
| Mobility disability among adults | 8.0% | 6.9–9.3 |
| Self-care disability among adults | 1.9% | 1.7–2.1 |
| Vision disability among adults | 2.6% | 2.4–2.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.5% | 15.9–21.2 |
| Food insecurity in the past 12 months among adults | 5.7% | 4.7–6.8 |
| Received food stamps in the past 12 months among adults | 3.4% | 2.7–4.2 |
| Housing insecurity in the past 12 months among adults | 5.3% | 4.4–6.2 |
| Lack of reliable transportation in the past 12 months among adults | 3.8% | 3.2–4.3 |
| Loneliness among adults | 30.2% | 26.4–34.1 |
| Utility services shut-off threat in the past 12 months among adults | 3.3% | 2.8–3.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | VA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.9% | 10.6% (3.1–25.8%) n=32,364 | 9.2% (2.0–22.9%) n=863 |
| Uninsured 18–64 | 5.8% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (0.0–19.2%) n=861 |
| No HS diploma (25+) | 0.9% | 7.9% (1.8–20.7%) n=32,505 | 9.2% (1.9–20.7%) n=872 |
| Bachelor's or higher (25+) | 80.7% | 23.3% (9.2–53.6%) n=32,505 | 26.0% (9.2–59.8%) n=872 |
| Unemployment rate (16+) | 2.6% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.0–8.2%) n=860 |
| Households without a vehicle | 3.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.3%) n=862 |
| Broadband subscription | 99.1% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (69.5–97.9%) n=862 |
| Housing cost burden (≥30% income) | 17.1% | 23.7% (10.6–40.0%) n=32,322 | 23.1% (10.8–38.1%) n=862 |
| Homeownership rate | 82.3% | 78.7% (51.7–94.0%) n=32,322 | 78.1% (52.2–95.9%) n=862 |
| Crowded housing (>1 per room) | 0.8% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=862 |
| Foreign-born population | 22.1% | 2.6% (0.0–18.6%) n=32,553 | 2.9% (0.0–17.0%) n=874 |
| Single-parent households | 53.2% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (38.2–78.2%) n=855 |
| Population 65+ | 18.6% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (10.8–37.3%) n=874 |
| Median age | 41.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (34.0–59.2) n=864 |
| Median household income | $211,911 | $72,070 ($46,039–$118,707) n=30,318 | $73,854 ($46,504–$141,698) n=804 |
| Median home value | $998,300 | $222,200 ($100,300–$579,820) n=30,049 | $274,800 ($123,240–$642,380) n=789 |
| Median gross rent | $2,587 | $1,021 ($677–$1,912) n=25,670 | $1,144 ($742–$2,191) n=615 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | VA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 85.8 yr ± 1.55 | 78.9 yr (74.7–82.8) n=31,308 | 77.6 yr (74.5–81.4) n=826 |
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 1.55 years of 85.8, 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