ZIP code
20779
in Tracys Landing, MarylandPopulation 883
63.49/ 100
Ranked #2,714 of 32,066 US ZIPs (top 8.5%)
Ranked #115 of 458 Maryland ZIPs (top 25%)
Ranked #56 of 157 Baltimore-Columbia-Towson, MD ZIPs (top 36%)
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
$178,452
in the top 1.8% nationally
Higher is healthier
ST91stUS98thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Mammography
84.9%
in the top 0.7% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Lack of transportation
4.4%
in the bottom 3.2% nationally
Lower is healthier
ST9thUS3rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Colon-cancer screening
75.6%
in the top 2.3% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Poverty rate
1.2%
in the bottom 5.6% nationally
Lower is healthier
ST11thUS6thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Housing insecurity
6.8%
in the bottom 6.0% nationally
Lower is healthier
ST9thUS6thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Food insecurity
7.8%
in the bottom 6.6% nationally
Lower is healthier
ST13thUS7thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
4.4%
in the bottom 6.6% nationally
Lower is healthier
ST12thUS7thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Cognitive disability
10.3%
in the bottom 6.3% nationally
Lower is healthier
ST19thUS6thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Energy-cost burden
1.7%
in the bottom 8.1% nationally
Lower is healthier
ST21stUS8thDefinition & 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 ›The read
Tracys Landing, Maryland (ZIP 20779), overall, ranks in the top 8.5% healthiest ZIPs nationally (2,714th) and the top 25% of Maryland (115th).
Reading the numbers as a whole, the picture lands somewhere in between: household income is in the top 1.8% nationally, modeled mammography sits in the top 0.7% nationally, and modeled transportation lands in the bottom 3.2% nationally. Modeled colon screening lies in the top 2.3% nationally, poverty stands in the bottom 5.6% nationally, and modeled housing insecurity rests in the bottom 6.0% nationally. Modeled food insecurity registers in the bottom 6.6% nationally, and utility shutoff resides in the bottom 6.6% nationally. Households without a vehicle settles at the national minimum, shared with about 16% of ZIPs. Modeled cognitive disability is in the bottom 6.3% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. ZIP 20754, just across the boundary, comes out 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 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
Social Need / SDOH
healthier than 95%
16%
Preventive Care
healthier than 99%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 84%
7%
About typical
Chronic Disease Burden
healthier than 52%
21%
Environmental Hazard
healthier than 57%
14%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Healthcare Access
healthier than 27%
5%
Lifting this score
Social Need / SDOH
healthier than 84%
16%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 80%
8%
About typical
Environmental Hazard
healthier than 42%
14%
Disability
healthier than 58%
7%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 34%
21%
Healthcare Access
healthier than 15%
5%
Lifting this score
Social Need / SDOH
healthier than 74%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 69%
11%
Mental Health
healthier than 88%
8%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Disability
healthier than 39%
7%
Climate / Disaster Risk
healthier than 32%
5%
Healthcare Access
healthier than 16%
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
20711
Marylandshares a border
Score 53.71
Closest healthier
20754
Marylandshares a border
Score 65.01
Similar health profile
23103
Virginia99% similar profile
Score 65.37
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 | 32.5% | 29.7–35.5 |
| High blood pressure among adults | 39.6% | 36.5–42.8 |
| Cancer (non-skin) or melanoma among adults | 12.6% | 11.4–13.6 |
| Current asthma among adults | 9.9% | 8.8–11.0 |
| Coronary heart disease among adults | 7.1% | 6.2–8.1 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.2–7.8 |
| Depression among adults | 19.7% | 17.4–22.2 |
| Diagnosed diabetes among adults | 11.6% | 10.1–13.3 |
| High cholesterol among adults who have ever been screened | 41.4% | 38.5–44.5 |
| Obesity among adults | 32.7% | 28.8–36.8 |
| Stroke among adults | 3.5% | 3.0–4.0 |
| All teeth lost among adults aged >=65 years | 8.5% | 7.0–10.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.1% | 4.0–6.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.3% | 77.8–82.7 |
| Visits to doctor for routine checkup within the past year among adults | 82.7% | 80.5–84.7 |
| Cholesterol screening among adults | 92.7% | 91.5–93.8 |
| Colorectal cancer screening among adults aged 45–75 years | 75.6% | 72.6–78.4 |
| Visited dentist or dental clinic in the past year among adults | 73.1% | 70.6–75.4 |
| Mammography use among women aged 50-74 years | 84.9% | 81.0–88.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.8–16.8 |
| Current cigarette smoking among adults | 10.1% | 8.1–12.4 |
| No leisure-time physical activity among adults | 20.1% | 16.7–23.6 |
| Short sleep duration among adults | 34.3% | 30.9–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.9% | 13.3–18.6 |
| Frequent mental distress among adults | 12.9% | 11.3–14.6 |
| Frequent physical distress among adults | 12.7% | 10.9–14.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.3% | 8.8–12.0 |
| Any disability among adults | 27.6% | 24.1–31.3 |
| Hearing disability among adults | 7.5% | 6.5–8.5 |
| Independent living disability among adults | 6.1% | 5.1–7.1 |
| Mobility disability among adults | 13.0% | 10.8–15.3 |
| Self-care disability among adults | 2.9% | 2.4–3.4 |
| Vision disability among adults | 3.5% | 2.9–4.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.3% | 16.7–22.1 |
| Food insecurity in the past 12 months among adults | 7.8% | 6.2–9.7 |
| Received food stamps in the past 12 months among adults | 5.5% | 4.3–7.1 |
| Housing insecurity in the past 12 months among adults | 6.8% | 5.6–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 4.4% | 3.7–5.2 |
| Loneliness among adults | 30.2% | 26.8–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.7–5.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 1.2% | 10.6% (3.1–25.8%) n=32,364 | 6.7% (1.1–19.3%) n=459 |
| Uninsured 18–64 | 1.5% | 9.0% (1.5–24.3%) n=32,286 | 4.8% (0.0–13.1%) n=459 |
| No HS diploma (25+) | 3.4% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.5–16.6%) n=463 |
| Bachelor's or higher (25+) | 41.1% | 23.3% (9.2–53.6%) n=32,505 | 37.3% (15.0–64.4%) n=463 |
| Unemployment rate (16+) | 1.9% | 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 | 94.9% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (81.2–100.0%) n=457 |
| Housing cost burden (≥30% income) | 14.7% | 23.7% (10.6–40.0%) n=32,322 | 27.0% (12.0–41.8%) n=457 |
| Homeownership rate | 90.7% | 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 | 2.9% | 2.6% (0.0–18.6%) n=32,553 | 6.2% (0.0–26.4%) n=464 |
| Single-parent households | 61.2% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (34.0–73.3%) n=450 |
| Population 65+ | 22.5% | 19.4% (10.8–33.6%) n=32,553 | 18.0% (10.9–33.1%) n=464 |
| Median age | 57.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (34.2–57.2) n=460 |
| Median household income | $178,452 | $72,070 ($46,039–$118,707) n=30,318 | $106,181 ($62,879–$172,423) n=419 |
| Median home value | $572,600 | $222,200 ($100,300–$579,820) n=30,049 | $423,400 ($215,180–$683,660) n=427 |
| Median gross rent | $1,735 | $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 | 78.7 yr ± 1.58 | 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 1.58 years of 78.7, 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