ZIP code
20036
in Washington, District of ColumbiaPopulation 4,605
75.33/ 100
Ranked #34 of 32,066 US ZIPs (top 0.2%)
Ranked #1 of 28 District of Columbia ZIPs (top 3.6%)
Ranked #5 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (top 1.7%)
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
29.2%
in the top 0.10% nationally
Lower is healthier
ST89thUS99thDefinition & 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
16 per 1,000 residents
in the top 0.03% nationally
Higher is healthier
ST96thUS99thDefinition & 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 ›Dental provider access
7.2 per 1,000 residents
in the top 0.06% nationally
Higher is healthier
ST96thUS99thDefinition & 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 ›Outpatient-care access
3.4 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST96thUS99thDefinition & 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 ›Physician access
15 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST96thUS99thDefinition & 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 ›Mental-health provider access
1.1 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Obesity
18%
in the bottom 0.5% nationally
Lower is healthier
ST19thUS1stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›High blood pressure
17.6%
in the bottom 1.0% nationally
Lower is healthier
ST19thUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Transit access
19 per 1,000 residents
in the top 0.4% nationally
Higher is healthier
ST88thUS99thDefinition & 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 ›Pharmacy access
1.3 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST96thUS99thDefinition & 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 ›The read
ZIP 20036, one of several in Washington, District of Columbia ranks in the top 0.2% healthiest ZIPs nationally (34th) and the top 3.6% of the District of Columbia (1st).
A balanced set of signals defines this area, not any single one: civic rests in the top 0.03% nationally, and dental providers lands in the top 0.06% nationally. Outpatient settles in the top 0.2% nationally, and physicians rests in the top 0.2% nationally. Mental-health providers lands in the top 0.2% nationally, modeled obesity settles in the bottom 0.5% nationally, and modeled high blood pressure rests in the bottom 1.0% nationally. Transit lands in the top 0.4% nationally, and pharmacy settles in the top 0.5% nationally. By contrast, modeled binge drinking rests in the top 0.10% nationally.
Against its neighbors, civic runs far higher than the surrounding ZIPs on this measure. Among the ZIPs nearby, none ranks healthier overall than this one.
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 0.5%
21%
Social Need / SDOH
in the top 0.5%
16%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 83%
8%
Disability
in the top 0.07%
7%
Climate / Disaster Risk
healthier than 82%
5%
Healthcare Access
healthier than 88%
5%
About typical
Preventive Care
healthier than 58%
13%
Holding it back
Environmental Hazard
healthier than 17%
14%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
healthier than 93%
16%
Risk Behavior
healthier than 89%
11%
Disability
healthier than 96%
7%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Preventive Care
healthier than 59%
13%
Mental Health
healthier than 59%
8%
Healthcare Access
healthier than 59%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
in the top 1.0%
21%
Social Need / SDOH
healthier than 96%
16%
Risk Behavior
healthier than 74%
11%
Disability
in the top 0.4%
7%
Climate / Disaster Risk
in the top 0.00%
5%
Healthcare Access
healthier than 89%
5%
About typical
Mental Health
healthier than 46%
8%
Holding it back
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 30%
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 ›
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 17.6; chronic-disease standing 99.5 (top 1%) — 82 points apart, heavier on the environment than it is on chronic illness.
Ranked #17,330 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
Similar health profile
80209
Colorado99% similar profile
Score 69.50
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 | 11.1% | 9.6–12.8 |
| High blood pressure among adults | 17.6% | 15.3–20.3 |
| Cancer (non-skin) or melanoma among adults | 4.8% | 4.4–5.2 |
| Current asthma among adults | 8.8% | 7.8–9.9 |
| Coronary heart disease among adults | 2.2% | 2.0–2.5 |
| Chronic obstructive pulmonary disease among adults | 2.0% | 1.8–2.3 |
| Depression among adults | 23.1% | 19.5–27.2 |
| Diagnosed diabetes among adults | 3.9% | 3.3–4.4 |
| High cholesterol among adults who have ever been screened | 27.7% | 24.1–31.5 |
| Obesity among adults | 18.0% | 13.9–22.8 |
| Stroke among adults | 1.3% | 1.2–1.4 |
| 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 | 3.8% | 3.2–4.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 62.1% | 59.1–65.1 |
| Visits to doctor for routine checkup within the past year among adults | 71.5% | 66.8–76.1 |
| Cholesterol screening among adults | 88.8% | 87.1–90.5 |
| Colorectal cancer screening among adults aged 45–75 years | 73.8% | 69.6–77.6 |
| Visited dentist or dental clinic in the past year among adults | 76.8% | 72.9–80.1 |
| Mammography use among women aged 50-74 years | 77.2% | 70.9–82.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 29.2% | 25.6–33.1 |
| Current cigarette smoking among adults | 5.0% | 4.2–5.9 |
| No leisure-time physical activity among adults | 8.4% | 6.6–10.5 |
| Short sleep duration among adults | 27.5% | 22.7–32.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 7.0% | 6.1–8.0 |
| Frequent mental distress among adults | 12.6% | 11.2–14.2 |
| Frequent physical distress among adults | 6.1% | 5.4–6.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.1% | 8.0–10.3 |
| Any disability among adults | 14.3% | 12.2–16.8 |
| Hearing disability among adults | 2.9% | 2.5–3.2 |
| Independent living disability among adults | 3.8% | 3.3–4.2 |
| Mobility disability among adults | 4.0% | 3.5–4.6 |
| Self-care disability among adults | 1.3% | 1.2–1.4 |
| Vision disability among adults | 2.1% | 1.9–2.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.8% | 15.2–20.6 |
| Food insecurity in the past 12 months among adults | 5.9% | 5.0–6.9 |
| Received food stamps in the past 12 months among adults | 4.3% | 3.4–5.4 |
| Housing insecurity in the past 12 months among adults | 5.9% | 5.1–6.9 |
| Lack of reliable transportation in the past 12 months among adults | 4.5% | 3.9–5.1 |
| Loneliness among adults | 34.9% | 30.7–39.2 |
| Utility services shut-off threat in the past 12 months among adults | 3.6% | 3.1–4.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | DC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.5% | 10.6% (3.1–25.8%) n=32,364 | DC distribution suppressed (n=26 < 30). |
| Uninsured 18–64 | 5.0% | 9.0% (1.5–24.3%) n=32,286 | DC distribution suppressed (n=27 < 30). |
| No HS diploma (25+) | 0.2% | 7.9% (1.8–20.7%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Bachelor's or higher (25+) | 94.2% | 23.3% (9.2–53.6%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Unemployment rate (16+) | 1.9% | 3.9% (0.0–9.8%) n=32,274 | DC distribution suppressed (n=29 < 30). |
| Households without a vehicle | 70.0% | 3.9% (0.0–12.5%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Broadband subscription | 96.5% | 89.3% (75.1–97.1%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Housing cost burden (≥30% income) | 34.0% | 23.7% (10.6–40.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Homeownership rate | 38.2% | 78.7% (51.7–94.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Crowded housing (>1 per room) | 1.2% | 1.3% (0.0–6.3%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Foreign-born population | 15.1% | 2.6% (0.0–18.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Single-parent households | 93.4% | 53.6% (37.3–74.1%) n=32,087 | DC distribution suppressed (n=23 < 30). |
| Population 65+ | 11.2% | 19.4% (10.8–33.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Median age | 35.1 yr | 42.2 yr (33.0–56.3) n=32,292 | DC distribution suppressed (n=28 < 30). |
| Median household income | $99,832 | $72,070 ($46,039–$118,707) n=30,318 | DC distribution suppressed (n=22 < 30). |
| Median home value | $449,300 | $222,200 ($100,300–$579,820) n=30,049 | DC distribution suppressed (n=22 < 30). |
| Median gross rent | $2,263 | $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 | 80.9 yr ± 1.06 | 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 1.06 years of 80.9, 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