ZIP code
20560
in Washington, District of ColumbiaPopulation 0
Score not computed — limited data for this ZIP.
Because no Score is computed, this ZIP doesn't appear in the state, metro, or national rankings.
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.
Park land
91.8%
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Energy-cost burden
0.77%
in the bottom 0.5% nationally
Lower is healthier
ST25thUS1stDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Walkability
120 intersections/sq mi
in the top 7.4% nationally
Higher is healthier
ST52ndUS93rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Floodplain exposure
34%
in the top 8.3% nationally
Lower is healthier
ST82ndUS92ndDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Expected annual disaster loss
$0
in the bottom 9.8% nationally
Lower is healthier
ST25thUS10thDefinition & 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 ›The read
With the picture still incomplete, for ZIP 20560, one of several in Washington, District of Columbia, health standing is not ranked here — the available data is too limited to place it confidently.
From the measures on hand, the profile can say a few things: park land lands in the top 0.3% nationally, modeled energy burden resides in the bottom 0.5% nationally, and walkability lies in the top 7.4% nationally. Modeled expected annual loss settles in the bottom 9.8% nationally, modeled disaster risk stands in the bottom 16% nationally, and distance to an emergency room is in the bottom 20% nationally. Against that, modeled tree cover rests at the national minimum, and floodplain exposure sits in the top 8.3% nationally. Distance to a Superfund site registers in the bottom 11.1% nationally, and outer-floodplain exposure lands in the top 26% nationally.
Set against the neighboring ZIPs, park land runs far higher than the surrounding ZIPs on this measure. In everyday language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake.
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 outcomes & behaviorCDC PLACES
No PLACES data is available for this ZIP yet.
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+) | — | 7.9% (1.8–20.7%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Bachelor's or higher (25+) | — | 23.3% (9.2–53.6%) n=32,505 | DC distribution suppressed (n=29 < 30). |
| Unemployment rate (16+) | — | 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 | — | 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+ | — | 19.4% (10.8–33.6%) n=32,553 | DC distribution suppressed (n=29 < 30). |
| Median age | — | 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 | 82.7 yr ± 2.74 | 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 2.74 years of 82.7, and it’s very unlikely to be off by more than twice that.
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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. How distance is measured