ZIP code
21117
in Owings Mills, MarylandPopulation 62,816
61.67/ 100
Ranked #3,717 of 32,066 US ZIPs (top 11.6%)
Ranked #154 of 458 Maryland ZIPs (top 34%)
Ranked #79 of 157 Baltimore-Columbia-Towson, MD ZIPs (bottom 50%)
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.
Subsidized affordable housing
779 units
in the top 2.3% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Hearing disability
4.2%
in the bottom 2.6% nationally
Lower is healthier
ST10thUS3rdDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Mammography
82.5%
in the top 3.1% nationally
Higher is healthier
ST84thUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Nitrate in drinking water
0.87%
in the top 6.7% nationally
Lower is healthier
ST82ndUS93rdDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Natural-disaster risk
in the top 8.3% nationally
Lower is healthier
ST99thUS92ndDefinition & 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 ›Coronary heart disease
4.7%
in the bottom 7.0% nationally
Lower is healthier
ST15thUS7thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Expected annual disaster loss
$0
in the top 21% nationally
Lower is healthier
ST96thUS79thDefinition & 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
On the composite measure, Owings Mills, Maryland (ZIP 21117) stands in the top 11.6% healthiest ZIPs nationally (3,717th) and the top 34% of Maryland (154th).
A balanced set of signals defines this area, not any single one: subsidized affordable housing resides in the top 2.3% nationally, and modeled hearing disability stands in the bottom 2.6% nationally. Modeled mammography sits in the top 3.1% nationally, and coronary heart disease resides in the bottom 7.0% nationally. Physicians stands in the top 11.5% nationally, outpatient sits in the top 12.2% nationally, and modeled energy burden resides in the bottom 11.3% nationally. By contrast, modeled nitrate stands in the top 6.7% nationally, modeled disaster risk sits in the top 8.3% nationally, and homeownership resides in the bottom 12.1% nationally.
Set beside the wider area around it, park land runs far lower than the surrounding ZIPs on this measure. For clarity, nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. 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 21093, just across the boundary, ranks better overall among the ZIPs nearby.
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 80%
21%
Social Need / SDOH
healthier than 72%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 61%
5%
About typical
Environmental Hazard
healthier than 44%
14%
Healthcare Access
healthier than 57%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 66%
7%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Preventive Care
healthier than 56%
13%
Mental Health
healthier than 47%
8%
Healthcare Access
healthier than 57%
5%
Holding it back
Environmental Hazard
healthier than 26%
14%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
About typical
Preventive Care
healthier than 45%
13%
Risk Behavior
healthier than 51%
11%
Mental Health
healthier than 47%
8%
Disability
healthier than 47%
7%
Climate / Disaster Risk
healthier than 52%
5%
Healthcare Access
healthier than 54%
5%
Holding it back
Social Need / SDOH
healthier than 31%
16%
Environmental Hazard
healthier than 38%
14%
“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
21093
Marylandshares a border
Score 68.62
Closest healthier
21153
Marylandshares a border
Score 70.93
Similar health profile
15101
Pennsylvania99% similar profile
Score 67.94
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 | 23.8% | 22.1–25.5 |
| High blood pressure among adults | 34.4% | 32.2–36.7 |
| Cancer (non-skin) or melanoma among adults | 6.3% | 5.8–6.8 |
| Current asthma among adults | 11.4% | 10.4–12.5 |
| Coronary heart disease among adults | 4.7% | 4.3–5.1 |
| Chronic obstructive pulmonary disease among adults | 4.9% | 4.5–5.4 |
| Depression among adults | 19.8% | 17.9–21.8 |
| Diagnosed diabetes among adults | 11.9% | 10.8–13.1 |
| High cholesterol among adults who have ever been screened | 34.4% | 32.2–36.7 |
| Obesity among adults | 34.9% | 31.7–38.4 |
| Stroke among adults | 2.9% | 2.7–3.1 |
| All teeth lost among adults aged >=65 years | 8.3% | 7.0–10.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.9–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.1% | 72.9–77.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 78.4–82.5 |
| Cholesterol screening among adults | 89.1% | 87.9–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 70.7% | 67.7–73.8 |
| Visited dentist or dental clinic in the past year among adults | 64.2% | 61.8–66.7 |
| Mammography use among women aged 50-74 years | 82.5% | 78.6–86.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.9% | 11.3–14.7 |
| Current cigarette smoking among adults | 9.7% | 8.6–10.9 |
| No leisure-time physical activity among adults | 24.4% | 22.2–26.7 |
| Short sleep duration among adults | 38.5% | 35.4–41.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.7% | 15.3–18.3 |
| Frequent mental distress among adults | 16.4% | 14.9–17.9 |
| Frequent physical distress among adults | 10.4% | 9.4–11.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.0% | 10.9–13.2 |
| Any disability among adults | 23.7% | 21.6–25.8 |
| Hearing disability among adults | 4.2% | 3.8–4.7 |
| Independent living disability among adults | 6.7% | 6.1–7.4 |
| Mobility disability among adults | 10.7% | 9.7–11.8 |
| Self-care disability among adults | 3.2% | 3.0–3.5 |
| Vision disability among adults | 4.2% | 3.8–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.1% | 24.2–29.9 |
| Food insecurity in the past 12 months among adults | 17.0% | 15.0–19.0 |
| Received food stamps in the past 12 months among adults | 13.1% | 11.5–14.8 |
| Housing insecurity in the past 12 months among adults | 15.9% | 14.0–17.8 |
| Lack of reliable transportation in the past 12 months among adults | 9.0% | 8.0–10.1 |
| Loneliness among adults | 36.1% | 32.8–39.4 |
| Utility services shut-off threat in the past 12 months among adults | 9.8% | 8.6–11.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.7% | 10.6% (3.1–25.8%) n=32,364 | 6.7% (1.1–19.3%) n=459 |
| Uninsured 18–64 | 6.8% | 9.0% (1.5–24.3%) n=32,286 | 4.8% (0.0–13.1%) n=459 |
| No HS diploma (25+) | 5.1% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.5–16.6%) n=463 |
| Bachelor's or higher (25+) | 50.8% | 23.3% (9.2–53.6%) n=32,505 | 37.3% (15.0–64.4%) n=463 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–8.6%) n=457 |
| Households without a vehicle | 6.4% | 3.9% (0.0–12.5%) n=32,322 | 3.2% (0.0–12.4%) n=457 |
| Broadband subscription | 94.5% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (81.2–100.0%) n=457 |
| Housing cost burden (≥30% income) | 34.3% | 23.7% (10.6–40.0%) n=32,322 | 27.0% (12.0–41.8%) n=457 |
| Homeownership rate | 55.0% | 78.7% (51.7–94.0%) n=32,322 | 82.1% (49.9–98.5%) n=457 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=457 |
| Foreign-born population | 17.8% | 2.6% (0.0–18.6%) n=32,553 | 6.2% (0.0–26.4%) n=464 |
| Single-parent households | 41.2% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (34.0–73.3%) n=450 |
| Population 65+ | 13.5% | 19.4% (10.8–33.6%) n=32,553 | 18.0% (10.9–33.1%) n=464 |
| Median age | 36.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (34.2–57.2) n=460 |
| Median household income | $101,831 | $72,070 ($46,039–$118,707) n=30,318 | $106,181 ($62,879–$172,423) n=419 |
| Median home value | $387,400 | $222,200 ($100,300–$579,820) n=30,049 | $423,400 ($215,180–$683,660) n=427 |
| Median gross rent | $1,848 | $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 | 79.3 yr ± 0.60 | 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 0.60 years of 79.3, 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