ZIP code
21051
in Fork, MarylandPopulation 172
65.49/ 100
Ranked #1,814 of 32,066 US ZIPs (top 5.7%)
Ranked #76 of 458 Maryland ZIPs (top 17%)
Ranked #35 of 157 Baltimore-Columbia-Towson, MD ZIPs (top 22%)
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.
Median household income
$232,721
in the top 0.6% nationally
Higher is healthier
ST97thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Colon-cancer screening
76.2%
in the top 1.7% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Expected annual disaster loss
$0
in the bottom 4.4% nationally
Lower is healthier
ST5thUS4thDefinition & 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 ›Lack of transportation
4.7%
in the bottom 5.1% nationally
Lower is healthier
ST14thUS5thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Natural-disaster risk
in the bottom 5.7% nationally
Lower is healthier
ST3rdUS6thDefinition & 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 ›Utility shut-off threat
4.3%
in the bottom 5.7% nationally
Lower is healthier
ST11thUS6thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›The read
Fork, Maryland (ZIP 21051), on the composite measure, lands in the top 5.7% healthiest ZIPs nationally (1,814th) and the top 17% of Maryland (76th).
The readings split fairly evenly between strengths and concerns: household income lands in the top 0.6% nationally, poverty resides at the national minimum, and homeownership lies at the national maximum. Home broadband subscription settles at the national maximum, floodplain exposure stands at the national minimum, and modeled colon screening is in the top 1.7% nationally. Modeled expected annual loss rests in the bottom 4.4% nationally, and transportation sits in the bottom 5.1% nationally. Modeled disaster risk registers in the bottom 5.7% nationally, and utility shutoff lands in the bottom 5.7% nationally.
Set against the neighboring ZIPs, park land runs far lower 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. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". A healthier neighbor overall sits at ZIP 21013, 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 Baltimore-Columbia-Towson, MD 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 76%
21%
Social Need / SDOH
healthier than 97%
16%
Environmental Hazard
healthier than 74%
14%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 75%
8%
Disability
healthier than 93%
7%
Climate / Disaster Risk
healthier than 76%
5%
Holding it back
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 66%
14%
Preventive Care
healthier than 81%
13%
Risk Behavior
healthier than 82%
11%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Mental Health
healthier than 48%
8%
Holding it back
Healthcare Access
healthier than 20%
5%
Lifting this score
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 80%
11%
Disability
healthier than 70%
7%
Climate / Disaster Risk
healthier than 95%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Mental Health
healthier than 49%
8%
Holding it back
Healthcare Access
healthier than 18%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
21013
Marylandshares a border
Score 65.89
Closest healthier
21057
Marylandabout 0.3 mi away
Score 66.20
Similar health profile
21071
Maryland100% similar profile
Score 65.43
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 | 27.8% | 25.5–30.4 |
| High blood pressure among adults | 33.1% | 30.6–35.8 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.3–11.2 |
| Current asthma among adults | 10.1% | 9.0–11.3 |
| Coronary heart disease among adults | 6.2% | 5.3–7.4 |
| Chronic obstructive pulmonary disease among adults | 5.8% | 4.5–7.5 |
| Depression among adults | 22.2% | 20.0–24.8 |
| Diagnosed diabetes among adults | 10.3% | 8.8–11.9 |
| High cholesterol among adults who have ever been screened | 39.9% | 37.3–42.5 |
| Obesity among adults | 29.6% | 26.3–33.4 |
| Stroke among adults | 2.8% | 2.4–3.4 |
| All teeth lost among adults aged >=65 years | 4.6% | 3.7–5.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.3% | 3.5–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.0% | 74.4–79.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 76.6–81.3 |
| Cholesterol screening among adults | 90.8% | 88.8–92.5 |
| Colorectal cancer screening among adults aged 45–75 years | 76.2% | 73.2–79.0 |
| Visited dentist or dental clinic in the past year among adults | 72.7% | 70.5–75.1 |
| Mammography use among women aged 50-74 years | 79.5% | 75.0–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 14.0–17.9 |
| Current cigarette smoking among adults | 9.4% | 6.7–12.6 |
| No leisure-time physical activity among adults | 19.5% | 15.8–23.8 |
| Short sleep duration among adults | 31.2% | 28.2–34.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.8% | 10.9–17.5 |
| Frequent mental distress among adults | 14.6% | 12.6–16.9 |
| Frequent physical distress among adults | 10.8% | 9.0–12.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.5% | 8.3–12.9 |
| Any disability among adults | 22.3% | 18.7–26.5 |
| Hearing disability among adults | 6.2% | 5.4–7.2 |
| Independent living disability among adults | 5.4% | 4.3–6.8 |
| Mobility disability among adults | 9.8% | 7.9–12.3 |
| Self-care disability among adults | 2.6% | 2.0–3.3 |
| Vision disability among adults | 2.9% | 2.3–3.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.8% | 17.5–24.6 |
| Food insecurity in the past 12 months among adults | 7.7% | 5.3–10.8 |
| Received food stamps in the past 12 months among adults | 5.2% | 3.3–7.5 |
| Housing insecurity in the past 12 months among adults | 7.4% | 5.4–9.7 |
| Lack of reliable transportation in the past 12 months among adults | 4.7% | 3.6–5.9 |
| Loneliness among adults | 30.9% | 27.2–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.3% | 3.3–5.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 6.7% (1.1–19.3%) n=459 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 4.8% (0.0–13.1%) n=459 |
| No HS diploma (25+) | 4.1% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.5–16.6%) n=463 |
| Bachelor's or higher (25+) | 38.5% | 23.3% (9.2–53.6%) n=32,505 | 37.3% (15.0–64.4%) n=463 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–8.6%) n=457 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.2% (0.0–12.4%) n=457 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (81.2–100.0%) n=457 |
| Housing cost burden (≥30% income) | 28.8% | 23.7% (10.6–40.0%) n=32,322 | 27.0% (12.0–41.8%) n=457 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 82.1% (49.9–98.5%) n=457 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=457 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 6.2% (0.0–26.4%) n=464 |
| Single-parent households | 42.4% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (34.0–73.3%) n=450 |
| Population 65+ | 5.8% | 19.4% (10.8–33.6%) n=32,553 | 18.0% (10.9–33.1%) n=464 |
| Median age | 44.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (34.2–57.2) n=460 |
| Median household income | $232,721 | $72,070 ($46,039–$118,707) n=30,318 | $106,181 ($62,879–$172,423) n=419 |
| Median home value | $698,500 | $222,200 ($100,300–$579,820) n=30,049 | $423,400 ($215,180–$683,660) n=427 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $1,626 ($958–$2,415) n=339 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 81.3 yr ± 1.46 | 78.9 yr (74.7–82.8) n=31,308 | 79.5 yr (75.7–82.7) n=451 |
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 1.46 years of 81.3, 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