ZIP code
20032
in Washington, District of ColumbiaPopulation 40,920
44.17/ 100
Ranked #23,251 of 32,066 US ZIPs (bottom 27%)
Ranked #26 of 28 District of Columbia ZIPs (bottom 7.2%)
Ranked #304 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (bottom 1.3%)
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.
Expected annual disaster loss
$2
in the top 0.03% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Subsidized affordable housing
3,815 units
in the top 0.05% nationally
Higher is healthier
ST95thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Loneliness
43.2%
in the top 1.2% nationally
Lower is healthier
ST81stUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Households without a vehicle
42.8%
in the top 1.4% nationally
Lower is healthier
US99thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Slow internet speeds
6.4%
in the top 2.0% nationally
Lower is healthier
ST79thUS98thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Homeownership rate
22.6%
in the bottom 2.2% nationally
Higher is healthier
US2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Housing insecurity
27.1%
in the top 2.9% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
19.4%
in the top 2.9% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Unemployment rate
16.7%
in the top 3.0% nationally
Lower is healthier
US97thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Natural-disaster risk
in the top 3.4% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
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
By the composite measure, ZIP 20032, one of several in Washington, District of Columbia sits in the bottom 27% nationally (23,251st) and the bottom 7.2% of the District of Columbia (26th).
What the numbers press hardest on defines much of the story here: modeled expected annual loss registers in the top 0.03% nationally, modeled loneliness lands in the top 1.2% nationally, and households without a vehicle resides in the top 1.4% nationally. Slow internet speeds lies in the top 2.0% nationally, homeownership settles in the bottom 2.2% nationally, and modeled housing insecurity stands in the top 2.9% nationally. Modeled utility shutoff is in the top 2.9% nationally, and unemployment rests in the top 3.0% nationally. Modeled disaster risk sits in the top 3.4% nationally. On the encouraging side, subsidized affordable housing registers in the top 0.05% nationally.
Compared with the ZIPs that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. ZIP 20020, just across the boundary, ranks healthier 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
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Mental Health
healthier than 42%
8%
Holding it back
Social Need / SDOH
healthier than 19%
16%
Environmental Hazard
healthier than 33%
14%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 10%
11%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Environmental Hazard
healthier than 93%
14%
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 15%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 15%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 12%
13%
Risk Behavior
in the bottom 0.7%
11%
Mental Health
healthier than 10%
8%
Disability
in the bottom 0.7%
7%
Climate / Disaster Risk
healthier than 3%
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
3 of our published findings list 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 70.3 ± 1.2 years. A median household income of $49,139 predicts 77.3 years — 6.9 years below.
Ranked #5,805 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 70.3 ± 1.2 years. The 41 nearest ZIP codes with estimates average 80.2 years — 9.9 years below them.
Ranked #3,683 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 70.3 ± 1.2 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
20020
District of Columbiashares a border
Score 47.31
Closest healthier
20024
District of Columbiashares a border
Score 63.41
Similar health profile
41268
Kentucky96% similar profile
Score 44.65
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 | 22.2% | 19.6–25.1 |
| High blood pressure among adults | 39.8% | 36.0–43.9 |
| Cancer (non-skin) or melanoma among adults | 4.5% | 4.1–4.9 |
| Current asthma among adults | 12.9% | 11.6–14.4 |
| Coronary heart disease among adults | 5.5% | 5.0–6.1 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 6.6–8.2 |
| Depression among adults | 21.7% | 18.2–25.7 |
| Diagnosed diabetes among adults | 13.4% | 11.8–15.1 |
| High cholesterol among adults who have ever been screened | 34.3% | 30.3–38.5 |
| Obesity among adults | 34.9% | 28.5–42.2 |
| Stroke among adults | 5.0% | 4.6–5.4 |
| All teeth lost among adults aged >=65 years | 24.4% | 20.7–28.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.9% | 8.5–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.2% | 71.5–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.5% | 74.6–82.3 |
| Cholesterol screening among adults | 87.2% | 85.4–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 64.6% | 59.8–69.2 |
| Visited dentist or dental clinic in the past year among adults | 52.3% | 47.3–57.0 |
| Mammography use among women aged 50-74 years | 73.8% | 66.9–79.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.2% | 15.6–21.2 |
| Current cigarette smoking among adults | 17.6% | 15.5–20.0 |
| No leisure-time physical activity among adults | 25.8% | 21.6–30.6 |
| Short sleep duration among adults | 43.1% | 37.0–49.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.2% | 21.8–26.8 |
| Frequent mental distress among adults | 18.7% | 16.8–20.8 |
| Frequent physical distress among adults | 13.8% | 12.4–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.3% | 16.4–20.5 |
| Any disability among adults | 32.8% | 29.0–37.0 |
| Hearing disability among adults | 4.3% | 3.8–4.9 |
| Independent living disability among adults | 12.2% | 11.1–13.5 |
| Mobility disability among adults | 17.3% | 15.5–19.1 |
| Self-care disability among adults | 6.6% | 6.1–7.2 |
| Vision disability among adults | 8.7% | 8.0–9.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.8% | 27.9–35.9 |
| Food insecurity in the past 12 months among adults | 34.4% | 31.4–37.6 |
| Received food stamps in the past 12 months among adults | 38.1% | 34.1–42.2 |
| Housing insecurity in the past 12 months among adults | 27.1% | 24.5–29.9 |
| Lack of reliable transportation in the past 12 months among adults | 17.6% | 15.9–19.5 |
| Loneliness among adults | 43.2% | 38.8–47.5 |
| Utility services shut-off threat in the past 12 months among adults | 19.4% | 17.3–21.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | DC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 29.9% | 10.6% (3.1–25.8%) n=32,364 | DC distribution suppressed (n=26 < 30). |
| Uninsured 18–64 | 6.7% | 9.0% (1.5–24.3%) n=32,286 | DC distribution suppressed (n=27 < 30). |
| No HS diploma (25+) | 14.9% | 7.9% (1.8–20.7%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Bachelor's or higher (25+) | 22.5% | 23.3% (9.2–53.6%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Unemployment rate (16+) | 16.7% | 3.9% (0.0–9.8%) n=32,274 | DC distribution suppressed (n=29 < 30). |
| Households without a vehicle | 42.8% | 3.9% (0.0–12.5%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Broadband subscription | 80.3% | 89.3% (75.1–97.1%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Housing cost burden (≥30% income) | 47.3% | 23.7% (10.6–40.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Homeownership rate | 22.6% | 78.7% (51.7–94.0%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Crowded housing (>1 per room) | 3.0% | 1.3% (0.0–6.3%) n=32,322 | DC distribution suppressed (n=25 < 30). |
| Foreign-born population | 4.7% | 2.6% (0.0–18.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Single-parent households | 25.7% | 53.6% (37.3–74.1%) n=32,087 | DC distribution suppressed (n=23 < 30). |
| Population 65+ | 13.0% | 19.4% (10.8–33.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Median age | 34.3 yr | 42.2 yr (33.0–56.3) n=32,292 | DC distribution suppressed (n=28 < 30). |
| Median household income | $49,139 | $72,070 ($46,039–$118,707) n=30,318 | DC distribution suppressed (n=22 < 30). |
| Median home value | $407,700 | $222,200 ($100,300–$579,820) n=30,049 | DC distribution suppressed (n=22 < 30). |
| Median gross rent | $1,317 | $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 | 70.3 yr ± 0.59 | 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 0.59 years of 70.3, 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