ZIP code
21613
in Cambridge, MarylandPopulation 17,926
47.72/ 100
Ranked #19,294 of 32,066 US ZIPs (bottom 40%)
Ranked #410 of 458 Maryland ZIPs (bottom 10.5%)
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
1,031 units
in the top 1.3% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Households without a vehicle
16.4%
in the top 6.2% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Pharmacy access
0.45 per 1,000 residents
in the top 6.5% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The number of pharmacies located 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 ›Mammography
81.9%
in the top 4.2% nationally
Higher is healthier
ST80thUS96thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Diabetes
17.8%
in the top 8.8% nationally
Lower is healthier
ST98thUS91stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Homeownership rate
51.6%
in the bottom 10.0% nationally
Higher is healthier
ST12thUS10thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Utility shut-off threat
13.2%
in the top 10.6% nationally
Lower is healthier
ST93rdUS89thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Stroke
5.3%
in the top 10.1% nationally
Lower is healthier
ST98thUS90thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Civic-institution access
0.56 per 1,000 residents
in the top 11.0% nationally
Higher is healthier
ST91stUS89thDefinition & source ›
The number of civic and social organizations 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 ›Self-care disability
6.2%
in the top 10.5% nationally
Lower is healthier
ST98thUS90thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›The read
In its overall standing, Cambridge, Maryland (ZIP 21613) lands in the bottom 40% nationally (19,294th) and the bottom 10.5% of Maryland (410th), based on limited data; treat as directional.
This area's measures are easy to read as a mixed set: subsidized affordable housing sits in the top 1.3% nationally, pharmacy lands in the top 6.5% nationally, and modeled mammography lies in the top 4.2% nationally. Physicians stands in the top 10.3% nationally, and civic rests in the top 11.0% nationally. Set against that, households without a vehicle registers in the top 6.2% nationally, and modeled diabetes resides in the top 8.8% nationally. Homeownership settles in the bottom 10.0% nationally, and modeled utility shutoff is in the top 10.6% nationally. Modeled stroke sits in the top 10.1% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. On the overall standing, ZIP 21622, just across the boundary, ranks healthier.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 79%
14%
Preventive Care
healthier than 78%
13%
Mental Health
healthier than 65%
8%
Healthcare Access
healthier than 72%
5%
About typical
Social Need / SDOH
healthier than 51%
16%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Risk Behavior
healthier than 34%
11%
Disability
healthier than 20%
7%
Not placed: Climate / Disaster Risk — too little of each is measured here to compare reliably. They still count toward the score (together 5% of it); we just will not publish a standing we cannot stand behind.
Lifting this score
Environmental Hazard
healthier than 75%
14%
Healthcare Access
healthier than 74%
5%
About typical
Preventive Care
healthier than 45%
13%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 28%
16%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 37%
8%
Disability
healthier than 2%
7%
Not placed: Climate / Disaster Risk — too little of each is measured here to compare reliably. They still count toward the score (together 5% of it); we just will not publish a standing we cannot stand behind.
“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
21622
Marylandshares a border
Score 50.52
Closest healthier
21631
Marylandshares a border
Score 53.47
Similar health profile
54848
Wisconsin97% similar profile
Score 47.04
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 | 35.6% | 32.5–38.7 |
| High blood pressure among adults | 45.4% | 41.7–49.1 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.2 |
| Current asthma among adults | 11.8% | 10.5–13.2 |
| Coronary heart disease among adults | 8.9% | 8.1–9.8 |
| Chronic obstructive pulmonary disease among adults | 10.3% | 9.3–11.4 |
| Depression among adults | 19.9% | 17.1–22.9 |
| Diagnosed diabetes among adults | 17.8% | 15.9–19.9 |
| High cholesterol among adults who have ever been screened | 38.5% | 34.8–42.2 |
| Obesity among adults | 43.2% | 37.4–49.1 |
| Stroke among adults | 5.3% | 4.9–5.8 |
| All teeth lost among adults aged >=65 years | 18.5% | 15.8–21.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.0% | 9.4–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.4% | 77.9–82.6 |
| Visits to doctor for routine checkup within the past year among adults | 82.2% | 79.3–84.8 |
| Cholesterol screening among adults | 88.5% | 87.0–89.8 |
| Colorectal cancer screening among adults aged 45–75 years | 68.9% | 64.8–72.8 |
| Visited dentist or dental clinic in the past year among adults | 56.6% | 53.4–59.7 |
| Mammography use among women aged 50-74 years | 81.9% | 76.6–86.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.9% | 10.6–15.4 |
| Current cigarette smoking among adults | 16.8% | 14.8–19.2 |
| No leisure-time physical activity among adults | 31.3% | 27.5–35.5 |
| Short sleep duration among adults | 40.1% | 35.2–45.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.9% | 23.3–28.9 |
| Frequent mental distress among adults | 17.4% | 15.5–19.3 |
| Frequent physical distress among adults | 16.8% | 15.0–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.9% | 14.3–17.8 |
| Any disability among adults | 35.2% | 31.5–39.1 |
| Hearing disability among adults | 8.2% | 7.4–9.2 |
| Independent living disability among adults | 10.9% | 9.8–12.1 |
| Mobility disability among adults | 19.7% | 17.7–22.0 |
| Self-care disability among adults | 6.2% | 5.6–6.8 |
| Vision disability among adults | 7.7% | 7.1–8.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.7% | 22.4–29.2 |
| Food insecurity in the past 12 months among adults | 23.3% | 20.7–26.0 |
| Received food stamps in the past 12 months among adults | 23.5% | 20.9–26.0 |
| Housing insecurity in the past 12 months among adults | 18.5% | 16.4–20.8 |
| Lack of reliable transportation in the past 12 months among adults | 12.0% | 10.7–13.4 |
| Loneliness among adults | 32.2% | 27.9–36.8 |
| Utility services shut-off threat in the past 12 months among adults | 13.2% | 11.7–14.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 22.0% | 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+) | 12.6% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.5–16.6%) n=463 |
| Bachelor's or higher (25+) | 21.7% | 23.3% (9.2–53.6%) n=32,505 | 37.3% (15.0–64.4%) n=463 |
| Unemployment rate (16+) | 7.2% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–8.6%) n=457 |
| Households without a vehicle | 16.4% | 3.9% (0.0–12.5%) n=32,322 | 3.2% (0.0–12.4%) n=457 |
| Broadband subscription | 86.2% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (81.2–100.0%) n=457 |
| Housing cost burden (≥30% income) | 37.4% | 23.7% (10.6–40.0%) n=32,322 | 27.0% (12.0–41.8%) n=457 |
| Homeownership rate | 51.6% | 78.7% (51.7–94.0%) n=32,322 | 82.1% (49.9–98.5%) n=457 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=457 |
| Foreign-born population | 4.8% | 2.6% (0.0–18.6%) n=32,553 | 6.2% (0.0–26.4%) n=464 |
| Single-parent households | 52.6% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (34.0–73.3%) n=450 |
| Population 65+ | 23.8% | 19.4% (10.8–33.6%) n=32,553 | 18.0% (10.9–33.1%) n=464 |
| Median age | 43.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (34.2–57.2) n=460 |
| Median household income | $53,890 | $72,070 ($46,039–$118,707) n=30,318 | $106,181 ($62,879–$172,423) n=419 |
| Median home value | $283,900 | $222,200 ($100,300–$579,820) n=30,049 | $423,400 ($215,180–$683,660) n=427 |
| Median gross rent | $1,042 | $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 | 76.8 yr ± 0.66 | 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 0.66 years of 76.8, 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