ZIP code
20006
in Washington, District of ColumbiaPopulation 1,362
53.76/ 100
Ranked #11,015 of 32,066 US ZIPs (top 34%)
Ranked #22 of 28 District of Columbia ZIPs (bottom 21%)
Ranked #256 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (bottom 17%)
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
26.8%
in the top 0.3% nationally
Lower is healthier
ST67thUS99thDefinition & 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
20.1%
in the bottom 1.0% nationally
Lower is healthier
ST15thUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Pharmacy access
6.3 per 1,000 residents
in the top 0.01% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Child-care access
5.6 per 1,000 residents
in the top 0.01% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Dental provider access
19 per 1,000 residents
in the top 0.01% 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 ›Civic-institution access
23 per 1,000 residents
in the top 0.02% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Physician access
28 per 1,000 residents
in the top 0.03% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›High blood pressure
14.3%
in the bottom 0.7% nationally
Lower is healthier
ST11thUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Outpatient-care access
6.9 per 1,000 residents
in the top 0.04% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Recreation access
6.9 per 1,000 residents
in the top 0.07% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›The read
By its overall health score, ZIP 20006, one of several in Washington, District of Columbia lands in the top 34% healthiest ZIPs nationally (11,015th) and the bottom 21% of the District of Columbia (22nd).
Neither strongly one way nor the other, the measures sit mixed: modeled high cholesterol lies in the bottom 1.0% nationally, and pharmacy resides in the top 0.01% nationally. Childcare lands in the top 0.01% nationally, and dental providers registers in the top 0.01% nationally. Civic sits in the top 0.02% nationally, physicians rests in the top 0.03% nationally, and modeled high blood pressure is in the bottom 0.7% nationally. Outpatient stands in the top 0.04% nationally, and recreation settles in the top 0.07% nationally. Against that, modeled binge drinking lies in the top 0.3% nationally.
Weighed against the ZIPs nearby, pharmacy runs far higher than the surrounding ZIPs on this measure. Overall, the nearest healthier neighbor is ZIP 20005, 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
in the top 0.7%
21%
Disability
healthier than 74%
7%
Climate / Disaster Risk
healthier than 65%
5%
Healthcare Access
healthier than 86%
5%
About typical
Social Need / SDOH
healthier than 58%
16%
Risk Behavior
healthier than 50%
11%
Holding it back
Environmental Hazard
healthier than 19%
14%
Preventive Care
healthier than 3%
13%
Mental Health
healthier than 2%
8%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Climate / Disaster Risk
healthier than 67%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Healthcare Access
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 26%
16%
Preventive Care
healthier than 11%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 11%
8%
Disability
healthier than 22%
7%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Climate / Disaster Risk
healthier than 86%
5%
Healthcare Access
healthier than 85%
5%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
in the bottom 1.0%
8%
Disability
healthier than 30%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 18.9; chronic-disease standing 99.3 (top 1%) — 80 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,223 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
20005
District of Columbiashares a border
Score 71.36
Closest healthier
20036
District of Columbiashares a border
Score 75.33
Similar health profile
29630
South Carolina99% similar profile
Score 50.65
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 | 7.1% | 6.1–8.4 |
| High blood pressure among adults | 14.3% | 12.1–16.7 |
| Cancer (non-skin) or melanoma among adults | 1.7% | 1.6–1.9 |
| Current asthma among adults | 11.2% | 9.9–12.8 |
| Coronary heart disease among adults | 1.6% | 1.4–1.8 |
| Chronic obstructive pulmonary disease among adults | 3.2% | 2.6–3.7 |
| Depression among adults | 30.4% | 25.7–35.4 |
| Diagnosed diabetes among adults | 3.1% | 2.7–3.6 |
| High cholesterol among adults who have ever been screened | 20.1% | 17.3–23.4 |
| Obesity among adults | 20.1% | 15.6–25.3 |
| Stroke among adults | 1.2% | 1.0–1.3 |
| All teeth lost among adults aged >=65 years | 12.3% | 10.1–14.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.6% | 6.9–10.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 39.6% | 36.6–42.9 |
| Visits to doctor for routine checkup within the past year among adults | 66.6% | 61.0–72.0 |
| Cholesterol screening among adults | 73.9% | 69.5–78.1 |
| Colorectal cancer screening among adults aged 45–75 years | 58.7% | 53.9–63.1 |
| Visited dentist or dental clinic in the past year among adults | 58.5% | 53.4–63.3 |
| Mammography use among women aged 50-74 years | 68.3% | 60.6–75.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 26.8% | 23.2–30.8 |
| Current cigarette smoking among adults | 10.6% | 8.5–12.8 |
| No leisure-time physical activity among adults | 16.7% | 13.0–20.7 |
| Short sleep duration among adults | 33.7% | 28.2–39.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.4% | 12.0–17.2 |
| Frequent mental distress among adults | 23.2% | 19.8–26.2 |
| Frequent physical distress among adults | 9.3% | 7.9–10.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.8% | 18.0–25.5 |
| Any disability among adults | 27.6% | 22.9–32.3 |
| Hearing disability among adults | 2.9% | 2.5–3.4 |
| Independent living disability among adults | 10.4% | 8.5–12.3 |
| Mobility disability among adults | 5.2% | 4.4–6.0 |
| Self-care disability among adults | 2.2% | 1.9–2.5 |
| Vision disability among adults | 5.1% | 4.3–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.5% | 21.3–29.8 |
| Food insecurity in the past 12 months among adults | 23.4% | 18.4–28.6 |
| Received food stamps in the past 12 months among adults | 21.0% | 15.9–26.4 |
| Housing insecurity in the past 12 months among adults | 15.6% | 12.6–18.6 |
| Lack of reliable transportation in the past 12 months among adults | 14.8% | 11.9–17.5 |
| Loneliness among adults | 47.1% | 42.1–52.0 |
| Utility services shut-off threat in the past 12 months among adults | 10.0% | 8.1–11.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | DC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 52.4% | 10.6% (3.1–25.8%) n=32,364 | DC distribution suppressed (n=26 < 30). |
| Uninsured 18–64 | 1.0% | 9.0% (1.5–24.3%) n=32,286 | DC distribution suppressed (n=27 < 30). |
| No HS diploma (25+) | 2.9% | 7.9% (1.8–20.7%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Bachelor's or higher (25+) | 86.1% | 23.3% (9.2–53.6%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Unemployment rate (16+) | 11.2% | 3.9% (0.0–9.8%) n=32,274 | DC distribution suppressed (n=29 < 30). |
| Households without a vehicle | 92.0% | 3.9% (0.0–12.5%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Broadband subscription | 97.4% | 89.3% (75.1–97.1%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Housing cost burden (≥30% income) | 69.3% | 23.7% (10.6–40.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Homeownership rate | 5.9% | 78.7% (51.7–94.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Crowded housing (>1 per room) | 2.7% | 1.3% (0.0–6.3%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Foreign-born population | 43.3% | 2.6% (0.0–18.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | DC distribution suppressed (n=23 < 30). |
| Population 65+ | 0.9% | 19.4% (10.8–33.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Median age | 24.5 yr | 42.2 yr (33.0–56.3) n=32,292 | DC distribution suppressed (n=28 < 30). |
| Median household income | $35,011 | $72,070 ($46,039–$118,707) n=30,318 | DC distribution suppressed (n=22 < 30). |
| Median home value | $255,200 | $222,200 ($100,300–$579,820) n=30,049 | DC distribution suppressed (n=22 < 30). |
| Median gross rent | $1,951 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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