ZIP code
20390
in Washington, District of ColumbiaPopulation 246
74.02/ 100
Ranked #93 of 32,066 US ZIPs (top 0.3%)
Ranked #2 of 28 District of Columbia ZIPs (top 7.2%)
Ranked #16 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (top 5.2%)
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.
Binge drinking
41.7%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›High cholesterol
13.9%
in the bottom 0.5% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›High blood pressure
6.4%
in the bottom 0.01% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Loud transportation noise
75%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Obesity
11.4%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Diabetes
0.70%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
0.50%
in the bottom 0.03% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Utility shut-off threat
2.2%
in the bottom 0.04% 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 ›Stroke
0.30%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Transportation noise
91.7%
in the top 0.07% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›The read
ZIP 20390, one of several in Washington, District of Columbia, by its overall standing, sits in the top 0.3% healthiest ZIPs nationally (93rd) and the top 7.2% of the District of Columbia (2nd).
Both sides of the picture show up plainly in this area's numbers: modeled high cholesterol rests in the bottom 0.5% nationally, high blood pressure lies in the bottom 0.01% nationally, and obesity sits at the national minimum. Modeled diabetes settles at the national minimum, coronary heart disease registers in the bottom 0.03% nationally, and utility shutoff stands in the bottom 0.04% nationally. Modeled stroke lands at the national minimum. By contrast, modeled binge drinking is at the national maximum, and loud transportation noise resides at the national maximum. Modeled transportation noise rests in the top 0.07% nationally.
Held up against its neighbors, loud transportation noise runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The nearest ZIP ranking healthier overall is ZIP 20036, about 2.8 miles away.
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
in the top 0.00%
21%
Social Need / SDOH
healthier than 94%
16%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 93%
8%
Disability
in the top 0.01%
7%
Climate / Disaster Risk
healthier than 65%
5%
Healthcare Access
healthier than 73%
5%
Holding it back
Environmental Hazard
healthier than 1%
14%
Preventive Care
healthier than 7%
13%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 93%
8%
Disability
in the top 0.00%
7%
About typical
Social Need / SDOH
healthier than 59%
16%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 15%
13%
Healthcare Access
healthier than 11%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Social Need / SDOH
healthier than 65%
16%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 73%
8%
Disability
in the top 0.00%
7%
Climate / Disaster Risk
healthier than 86%
5%
Healthcare Access
healthier than 61%
5%
Holding it back
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 4%
13%
“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
20003
District of Columbiashares a border
Score 67.33
Closest healthier
20036
District of Columbiaabout 2.8 mi away
Score 75.33
Similar health profile
94085
California99% similar profile
Score 69.02
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 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 2.0% | 1.6–2.6 |
| High blood pressure among adults | 6.4% | 5.1–8.2 |
| Cancer (non-skin) or melanoma among adults | 0.8% | 0.7–1.0 |
| Current asthma among adults | 6.7% | 5.8–8.2 |
| Coronary heart disease among adults | 0.5% | 0.4–0.7 |
| Chronic obstructive pulmonary disease among adults | 0.7% | 0.4–1.5 |
| Depression among adults | 19.1% | 15.4–23.7 |
| Diagnosed diabetes among adults | 0.7% | 0.5–0.9 |
| High cholesterol among adults who have ever been screened | 13.9% | 11.5–16.8 |
| Obesity among adults | 11.4% | 8.4–15.5 |
| Stroke among adults | 0.3% | 0.2–0.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.1% | 3.8–13.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 13.4% | 10.6–16.5 |
| Visits to doctor for routine checkup within the past year among adults | 61.0% | 53.8–67.2 |
| Cholesterol screening among adults | 77.7% | 66.3–82.3 |
| Visited dentist or dental clinic in the past year among adults | 82.7% | 79.6–85.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 41.7% | 36.7–46.8 |
| Current cigarette smoking among adults | 2.7% | 1.6–6.4 |
| No leisure-time physical activity among adults | 5.6% | 3.6–10.0 |
| Short sleep duration among adults | 21.8% | 17.6–26.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 5.2% | 3.6–10.2 |
| Frequent mental distress among adults | 12.9% | 10.3–18.3 |
| Frequent physical distress among adults | 3.9% | 3.0–6.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.0% | 8.0–19.5 |
| Any disability among adults | 13.7% | 9.9–23.1 |
| Hearing disability among adults | 1.6% | 1.3–2.3 |
| Independent living disability among adults | 3.2% | 2.3–6.4 |
| Mobility disability among adults | 1.0% | 0.7–1.9 |
| Self-care disability among adults | 0.5% | 0.4–0.9 |
| Vision disability among adults | 1.6% | 1.2–2.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.6% | 15.9–28.8 |
| Food insecurity in the past 12 months among adults | 5.5% | 3.1–11.5 |
| Received food stamps in the past 12 months among adults | 2.4% | 1.2–5.5 |
| Housing insecurity in the past 12 months among adults | 4.7% | 3.0–8.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 3.5–8.8 |
| Loneliness among adults | 41.4% | 35.4–49.6 |
| Utility services shut-off threat in the past 12 months among adults | 2.2% | 1.5–3.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | DC median (p10–p90) |
|---|---|---|---|
| Poverty rate | — | 10.6% (3.1–25.8%) n=32,364 | DC distribution suppressed (n=26 < 30). |
| Uninsured 18–64 | — | 9.0% (1.5–24.3%) n=32,286 | DC distribution suppressed (n=27 < 30). |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | DC distribution suppressed (n=29 < 30). |
| Households without a vehicle | — | 3.9% (0.0–12.5%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Broadband subscription | — | 89.3% (75.1–97.1%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Housing cost burden (≥30% income) | — | 23.7% (10.6–40.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Homeownership rate | — | 78.7% (51.7–94.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Crowded housing (>1 per room) | — | 1.3% (0.0–6.3%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Foreign-born population | 3.7% | 2.6% (0.0–18.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | DC distribution suppressed (n=23 < 30). |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Median age | 22.2 yr | 42.2 yr (33.0–56.3) n=32,292 | DC distribution suppressed (n=28 < 30). |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | DC distribution suppressed (n=22 < 30). |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | DC distribution suppressed (n=22 < 30). |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | DC distribution suppressed (n=22 < 30). |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | DC median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.0 yr ± 1.24 | 78.9 yr (74.7–82.8) n=31,308 | 80.1 yr (74.0–84.9) n=39 |
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 1.24 years of 80.0, 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