ZIP code
20004
in Washington, District of ColumbiaPopulation 1,831
69.64/ 100
Ranked #654 of 32,066 US ZIPs (top 2.1%)
Ranked #9 of 28 District of Columbia ZIPs (top 32%)
Ranked #70 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (top 23%)
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
26.1%
in the top 0.4% nationally
Lower is healthier
ST52ndUS99thDefinition & 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 ›Civic-institution access
10 per 1,000 residents
in the top 0.06% nationally
Higher is healthier
ST92ndUS99thDefinition & source ›
The number of civic and social organizations 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 ›Median household income
$184,792
in the top 1.5% nationally
Higher is healthier
US99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Transit access
42 per 1,000 residents
in the top 0.08% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of public-transit stops 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
2.4 per 1,000 residents
in the top 0.3% nationally
Higher is healthier
ST92ndUS99thDefinition & 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 ›Child-care access
1.8 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The number of child day-care services 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 ›Obesity
20.6%
in the bottom 1.2% nationally
Lower is healthier
ST44thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Pharmacy access
1.2 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST92ndUS99thDefinition & 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 ›Recreation access
2.4 per 1,000 residents
in the top 1.0% nationally
Higher is healthier
ST92ndUS99thDefinition & 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 ›Households without a vehicle
49.9%
in the top 1.0% nationally
Lower is healthier
US99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
Overall, ZIP 20004, one of several in Washington, District of Columbia lands in the top 2.1% healthiest ZIPs nationally (654th) and the top 32% of the District of Columbia (9th).
The picture here is genuinely mixed, with readings on both sides: civic rests in the top 0.06% nationally, and household income stands in the top 1.5% nationally. Transit lies in the top 0.08% nationally, and outpatient lands in the top 0.3% nationally. Childcare sits in the top 0.5% nationally, modeled obesity is in the bottom 1.2% nationally, and pharmacy settles in the top 0.6% nationally. Recreation resides in the top 1.0% nationally. On the other side, modeled binge drinking registers in the top 0.4% nationally, and households without a vehicle rests in the top 1.0% nationally.
Set beside the nearby areas, civic runs far higher than the surrounding ZIPs on this measure. For a healthier nearby comparison, ZIP 20005, just across the boundary, ranks better overall.
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 98%
21%
Social Need / SDOH
in the top 0.4%
16%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 86%
8%
Disability
in the top 0.8%
7%
Healthcare Access
healthier than 83%
5%
Holding it back
Environmental Hazard
healthier than 16%
14%
Climate / Disaster Risk
healthier than 18%
5%
Lifting this score
Social Need / SDOH
healthier than 96%
16%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 63%
11%
Mental Health
healthier than 70%
8%
Disability
healthier than 78%
7%
About typical
Chronic Disease Burden
healthier than 56%
21%
Holding it back
Environmental Hazard
healthier than 37%
14%
Climate / Disaster Risk
healthier than 19%
5%
Healthcare Access
healthier than 19%
5%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
healthier than 96%
16%
Disability
healthier than 94%
7%
Healthcare Access
healthier than 78%
5%
About typical
Risk Behavior
healthier than 56%
11%
Mental Health
healthier than 53%
8%
Holding it back
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 35%
13%
Climate / Disaster Risk
healthier than 4%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 16.4; chronic-disease standing 98.1 (top 10%) — 82 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,318 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
20001
District of Columbiashares a border
Score 68.71
Closest healthier
20005
District of Columbiashares a border
Score 71.36
Similar health profile
67002
Kansas99% similar profile
Score 60.86
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 | 16.3% | 14.1–18.7 |
| High blood pressure among adults | 23.8% | 20.7–27.3 |
| Cancer (non-skin) or melanoma among adults | 6.7% | 6.1–7.3 |
| Current asthma among adults | 9.1% | 8.1–10.2 |
| Coronary heart disease among adults | 3.3% | 3.0–3.7 |
| Chronic obstructive pulmonary disease among adults | 3.2% | 2.7–3.8 |
| Depression among adults | 22.6% | 19.0–26.7 |
| Diagnosed diabetes among adults | 5.9% | 5.1–6.8 |
| High cholesterol among adults who have ever been screened | 33.9% | 29.9–38.4 |
| Obesity among adults | 20.6% | 16.1–26.2 |
| Stroke among adults | 2.0% | 1.8–2.2 |
| All teeth lost among adults aged >=65 years | 4.2% | 3.4–5.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.2% | 3.4–5.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.0% | 65.6–72.3 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 70.1–78.8 |
| Cholesterol screening among adults | 91.0% | 89.5–92.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 64.1–73.0 |
| Visited dentist or dental clinic in the past year among adults | 75.6% | 71.6–79.0 |
| Mammography use among women aged 50-74 years | 74.6% | 67.5–80.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 26.1% | 22.7–29.7 |
| Current cigarette smoking among adults | 7.2% | 5.7–8.9 |
| No leisure-time physical activity among adults | 10.7% | 8.5–13.6 |
| Short sleep duration among adults | 28.4% | 23.4–33.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 9.2% | 7.9–10.8 |
| Frequent mental distress among adults | 12.2% | 10.7–13.9 |
| Frequent physical distress among adults | 7.9% | 6.9–9.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.2% | 7.9–10.8 |
| Any disability among adults | 16.8% | 14.2–20.0 |
| Hearing disability among adults | 3.9% | 3.4–4.4 |
| Independent living disability among adults | 4.5% | 3.9–5.2 |
| Mobility disability among adults | 6.4% | 5.6–7.5 |
| Self-care disability among adults | 2.0% | 1.8–2.2 |
| Vision disability among adults | 2.7% | 2.4–3.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.9% | 15.2–20.8 |
| Food insecurity in the past 12 months among adults | 7.2% | 5.9–8.8 |
| Received food stamps in the past 12 months among adults | 6.2% | 4.7–8.0 |
| Housing insecurity in the past 12 months among adults | 6.8% | 5.7–8.1 |
| Lack of reliable transportation in the past 12 months among adults | 4.8% | 4.1–5.5 |
| Loneliness among adults | 32.1% | 28.2–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 4.5% | 3.8–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | DC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.7% | 10.6% (3.1–25.8%) n=32,364 | DC distribution suppressed (n=26 < 30). |
| Uninsured 18–64 | 6.9% | 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+) | 95.6% | 23.3% (9.2–53.6%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | DC distribution suppressed (n=29 < 30). |
| Households without a vehicle | 49.9% | 3.9% (0.0–12.5%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Broadband subscription | 93.2% | 89.3% (75.1–97.1%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Housing cost burden (≥30% income) | 31.2% | 23.7% (10.6–40.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Homeownership rate | 42.6% | 78.7% (51.7–94.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Crowded housing (>1 per room) | 0.7% | 1.3% (0.0–6.3%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Foreign-born population | 16.8% | 2.6% (0.0–18.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Single-parent households | 89.5% | 53.6% (37.3–74.1%) n=32,087 | DC distribution suppressed (n=23 < 30). |
| Population 65+ | 19.8% | 19.4% (10.8–33.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Median age | 42.2 yr | 42.2 yr (33.0–56.3) n=32,292 | DC distribution suppressed (n=28 < 30). |
| Median household income | $184,792 | $72,070 ($46,039–$118,707) n=30,318 | DC distribution suppressed (n=22 < 30). |
| Median home value | $689,600 | $222,200 ($100,300–$579,820) n=30,049 | DC distribution suppressed (n=22 < 30). |
| Median gross rent | $2,997 | $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 | 86.5 yr ± 2.58 | 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 2.58 years of 86.5, 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