ZIP code
21207
in Gwynn Oak, MarylandPopulation 47,099
49.93/ 100
Ranked #16,343 of 32,066 US ZIPs (bottom 49%)
Ranked #393 of 458 Maryland ZIPs (bottom 14.2%)
Ranked #140 of 157 Baltimore-Columbia-Towson, MD ZIPs (bottom 10.9%)
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.
Short sleep
44.1%
in the top 4.4% nationally
Lower is healthier
ST95thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Transit access
5.8 per 1,000 residents
in the top 3.9% nationally
Higher is healthier
ST92ndUS96thDefinition & 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 ›Binge drinking
11.0%
in the bottom 3.1% nationally
Lower is healthier
ST1stUS3rdDefinition & 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 ›Mammography
82.6%
in the top 2.9% nationally
Higher is healthier
ST85thUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Loneliness
39.1%
in the top 5.9% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Housing insecurity
22.7%
in the top 5.9% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
15.0%
in the top 7.0% nationally
Lower is healthier
ST95thUS93rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Walkability
130 intersections/sq mi
in the top 7.1% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Housing-cost burden
42.6%
in the top 7.4% nationally
Lower is healthier
ST91stUS93rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Hearing disability
5.0%
in the bottom 6.4% nationally
Lower is healthier
ST24thUS6thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›The read
Gwynn Oak, Maryland (ZIP 21207), by its overall standing, sits in the bottom 49% nationally (16,343rd) and the bottom 14.2% of Maryland (393rd).
The measures fall on both sides of the ledger for this area: transit sits in the top 3.9% nationally, modeled binge drinking settles in the bottom 3.1% nationally, and modeled mammography registers in the top 2.9% nationally. Walkability stands in the top 7.1% nationally, and modeled hearing disability lands in the bottom 6.4% nationally. Set against that, modeled short sleep is in the top 4.4% nationally, and loneliness resides in the top 5.9% nationally. Modeled housing insecurity rests in the top 5.9% nationally, and utility shutoff lies in the top 7.0% nationally. Housing-cost burden sits in the top 7.4% nationally.
Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. The nearest ZIP ranking healthier overall is ZIP 21208, 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
Preventive Care
healthier than 83%
13%
Mental Health
healthier than 71%
8%
Healthcare Access
healthier than 88%
5%
About typical
Environmental Hazard
healthier than 60%
14%
Risk Behavior
healthier than 42%
11%
Disability
healthier than 41%
7%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 13%
16%
Lifting this score
Healthcare Access
healthier than 92%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Preventive Care
healthier than 55%
13%
Mental Health
healthier than 43%
8%
Climate / Disaster Risk
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 4%
16%
Risk Behavior
healthier than 17%
11%
Disability
healthier than 12%
7%
Lifting this score
Environmental Hazard
healthier than 71%
14%
Healthcare Access
healthier than 90%
5%
About typical
Preventive Care
healthier than 44%
13%
Mental Health
healthier than 43%
8%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 7%
16%
Risk Behavior
healthier than 16%
11%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 38%
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
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.1 ± 1.0 years. A median household income of $67,060 predicts 78.5 years — 2.4 years below.
Ranked #3,260 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
21208
Marylandshares a border
Score 59.35
Closest healthier
21228
Marylandshares a border
Score 61.34
Similar health profile
50264
Iowa94% similar profile
Score 50.22
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 | 29.1% | 27.5–30.8 |
| High blood pressure among adults | 45.3% | 43.2–47.2 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.5–6.4 |
| Current asthma among adults | 12.8% | 11.8–13.8 |
| Coronary heart disease among adults | 6.8% | 6.3–7.3 |
| Chronic obstructive pulmonary disease among adults | 7.3% | 6.7–7.9 |
| Depression among adults | 19.0% | 17.4–20.6 |
| Diagnosed diabetes among adults | 17.9% | 16.6–19.2 |
| High cholesterol among adults who have ever been screened | 37.2% | 35.2–39.2 |
| Obesity among adults | 41.6% | 38.5–44.8 |
| Stroke among adults | 5.0% | 4.6–5.2 |
| All teeth lost among adults aged >=65 years | 15.5% | 13.6–17.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 8.6–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 78.3–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 83.1% | 81.5–84.7 |
| Cholesterol screening among adults | 89.6% | 88.5–90.6 |
| Colorectal cancer screening among adults aged 45–75 years | 69.1% | 66.6–71.7 |
| Visited dentist or dental clinic in the past year among adults | 54.4% | 52.1–56.7 |
| Mammography use among women aged 50-74 years | 82.6% | 79.5–85.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.0% | 9.9–12.3 |
| Current cigarette smoking among adults | 13.7% | 12.5–15.0 |
| No leisure-time physical activity among adults | 31.6% | 29.3–34.0 |
| Short sleep duration among adults | 44.1% | 41.3–47.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.1% | 22.3–25.8 |
| Frequent mental distress among adults | 17.4% | 16.1–18.7 |
| Frequent physical distress among adults | 13.4% | 12.4–14.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 13.2–15.5 |
| Any disability among adults | 31.7% | 29.6–33.8 |
| Hearing disability among adults | 5.0% | 4.5–5.4 |
| Independent living disability among adults | 9.5% | 8.8–10.3 |
| Mobility disability among adults | 17.6% | 16.2–18.8 |
| Self-care disability among adults | 5.5% | 5.1–5.9 |
| Vision disability among adults | 6.8% | 6.3–7.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.5% | 28.9–34.0 |
| Food insecurity in the past 12 months among adults | 26.3% | 24.0–28.6 |
| Received food stamps in the past 12 months among adults | 23.6% | 21.4–25.8 |
| Housing insecurity in the past 12 months among adults | 22.7% | 20.6–24.6 |
| Lack of reliable transportation in the past 12 months among adults | 12.9% | 11.7–14.0 |
| Loneliness among adults | 39.1% | 36.3–41.8 |
| Utility services shut-off threat in the past 12 months among adults | 15.0% | 13.5–16.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.5% | 10.6% (3.1–25.8%) n=32,364 | 6.7% (1.1–19.3%) n=459 |
| Uninsured 18–64 | 10.9% | 9.0% (1.5–24.3%) n=32,286 | 4.8% (0.0–13.1%) n=459 |
| No HS diploma (25+) | 11.7% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.5–16.6%) n=463 |
| Bachelor's or higher (25+) | 29.3% | 23.3% (9.2–53.6%) n=32,505 | 37.3% (15.0–64.4%) n=463 |
| Unemployment rate (16+) | 6.6% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–8.6%) n=457 |
| Households without a vehicle | 11.4% | 3.9% (0.0–12.5%) n=32,322 | 3.2% (0.0–12.4%) n=457 |
| Broadband subscription | 82.5% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (81.2–100.0%) n=457 |
| Housing cost burden (≥30% income) | 42.6% | 23.7% (10.6–40.0%) n=32,322 | 27.0% (12.0–41.8%) n=457 |
| Homeownership rate | 60.7% | 78.7% (51.7–94.0%) n=32,322 | 82.1% (49.9–98.5%) n=457 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=457 |
| Foreign-born population | 13.9% | 2.6% (0.0–18.6%) n=32,553 | 6.2% (0.0–26.4%) n=464 |
| Single-parent households | 39.8% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (34.0–73.3%) n=450 |
| Population 65+ | 18.7% | 19.4% (10.8–33.6%) n=32,553 | 18.0% (10.9–33.1%) n=464 |
| Median age | 39.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (34.2–57.2) n=460 |
| Median household income | $67,060 | $72,070 ($46,039–$118,707) n=30,318 | $106,181 ($62,879–$172,423) n=419 |
| Median home value | $260,300 | $222,200 ($100,300–$579,820) n=30,049 | $423,400 ($215,180–$683,660) n=427 |
| Median gross rent | $1,432 | $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 | 76.1 yr ± 0.53 | 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 0.53 years of 76.1, 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