ZIP code
20707
in Laurel, MarylandPopulation 37,278
61.49/ 100
Ranked #3,812 of 32,066 US ZIPs (top 11.9%)
Ranked #157 of 458 Maryland ZIPs (top 34%)
Ranked #168 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (bottom 45%)
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.
Hearing disability
4.3%
in the bottom 2.8% nationally
Lower is healthier
ST11thUS3rdDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Mental-health provider access
0.19 per 1,000 residents
in the top 4.8% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The number of mental-health clinics 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 ›Outpatient-care access
0.64 per 1,000 residents
in the top 4.8% nationally
Higher is healthier
ST95thUS95thDefinition & source ›
The number of outpatient clinics 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 ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Physician access
2.2 per 1,000 residents
in the top 6.2% nationally
Higher is healthier
ST91stUS94thDefinition & source ›
The number of physicians’ offices 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 ›Grocery access
0.21 per 1,000 residents
in the top 6.6% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Coronary heart disease
4.6%
in the bottom 6.3% nationally
Lower is healthier
ST13thUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Air-toxics cancer risk
37 per million
in the top 8.3% nationally
Lower is healthier
ST87thUS92ndDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Crowded housing
6.6%
in the top 9.3% nationally
Lower is healthier
ST95thUS91stDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›The read
By its overall health score, ZIP 20707, one of several in Laurel, Maryland lands in the top 11.9% healthiest ZIPs nationally (3,812th) and the top 34% of Maryland (157th).
A number of signals point in a favorable direction for this area: modeled hearing disability sits in the bottom 2.8% nationally, and lead in tap water rests at the national minimum. Mental-health providers is in the top 4.8% nationally, and outpatient stands in the top 4.8% nationally. Physicians settles in the top 6.2% nationally, grocery lies in the top 6.6% nationally, and modeled coronary heart disease resides in the bottom 6.3% nationally. Working the other way, PFAS in drinking water lands at the national maximum, modeled air-toxics cancer risk registers in the top 8.3% nationally, and crowded housing sits in the top 9.3% nationally.
Weighed against the ZIPs nearby, park land runs far lower than the surrounding ZIPs on this measure. To translate a couple of terms, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Overall, the nearest healthier neighbor is ZIP 20723, 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 Washington-Arlington-Alexandria, DC-VA-MD-WV 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 79%
21%
Social Need / SDOH
healthier than 77%
16%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 61%
5%
Healthcare Access
healthier than 79%
5%
About typical
Preventive Care
healthier than 57%
13%
Holding it back
Environmental Hazard
healthier than 33%
14%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Mental Health
healthier than 88%
8%
Climate / Disaster Risk
healthier than 65%
5%
Healthcare Access
healthier than 83%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Risk Behavior
healthier than 47%
11%
Disability
healthier than 59%
7%
Holding it back
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 22%
13%
Lifting this score
Mental Health
healthier than 80%
8%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 71%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Disability
healthier than 46%
7%
Holding it back
Social Need / SDOH
healthier than 35%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 30%
11%
“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
20705
Marylandshares a border
Score 59.98
Closest healthier
20723
Marylandshares a border
Score 67.95
Similar health profile
07728
New Jersey99% similar profile
Score 65.68
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 | 22.6% | 20.7–24.4 |
| High blood pressure among adults | 34.9% | 32.4–37.3 |
| Cancer (non-skin) or melanoma among adults | 5.8% | 5.3–6.3 |
| Current asthma among adults | 11.1% | 10.0–12.2 |
| Coronary heart disease among adults | 4.6% | 4.2–5.0 |
| Chronic obstructive pulmonary disease among adults | 4.8% | 4.3–5.4 |
| Depression among adults | 15.8% | 13.9–17.7 |
| Diagnosed diabetes among adults | 12.2% | 11.0–13.5 |
| High cholesterol among adults who have ever been screened | 35.1% | 32.5–37.6 |
| Obesity among adults | 38.8% | 34.9–42.4 |
| Stroke among adults | 3.0% | 2.8–3.2 |
| All teeth lost among adults aged >=65 years | 9.3% | 7.8–11.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.3% | 9.9–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.2% | 70.6–75.5 |
| Visits to doctor for routine checkup within the past year among adults | 76.6% | 74.0–79.0 |
| Cholesterol screening among adults | 89.2% | 88.0–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.0% | 65.0–71.1 |
| Visited dentist or dental clinic in the past year among adults | 62.0% | 59.4–64.5 |
| Mammography use among women aged 50-74 years | 81.0% | 76.9–84.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.5–15.2 |
| Current cigarette smoking among adults | 9.7% | 8.4–10.9 |
| No leisure-time physical activity among adults | 23.9% | 21.4–26.3 |
| Short sleep duration among adults | 41.7% | 38.4–44.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.9% | 16.2–19.7 |
| Frequent mental distress among adults | 14.2% | 12.8–15.5 |
| Frequent physical distress among adults | 11.5% | 10.3–12.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.0% | 10.7–13.2 |
| Any disability among adults | 24.6% | 22.3–26.9 |
| Hearing disability among adults | 4.3% | 3.8–4.8 |
| Independent living disability among adults | 6.8% | 6.1–7.5 |
| Mobility disability among adults | 11.7% | 10.5–12.9 |
| Self-care disability among adults | 3.5% | 3.2–3.8 |
| Vision disability among adults | 4.7% | 4.3–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.2% | 22.6–28.1 |
| Food insecurity in the past 12 months among adults | 18.7% | 16.8–20.9 |
| Received food stamps in the past 12 months among adults | 12.9% | 11.3–14.6 |
| Housing insecurity in the past 12 months among adults | 17.1% | 15.3–19.1 |
| Lack of reliable transportation in the past 12 months among adults | 9.0% | 8.1–10.1 |
| Loneliness among adults | 35.4% | 32.1–38.9 |
| Utility services shut-off threat in the past 12 months among adults | 10.1% | 9.0–11.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.0% | 10.6% (3.1–25.8%) n=32,364 | 6.7% (1.1–19.3%) n=459 |
| Uninsured 18–64 | 11.6% | 9.0% (1.5–24.3%) n=32,286 | 4.8% (0.0–13.1%) n=459 |
| No HS diploma (25+) | 10.4% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.5–16.6%) n=463 |
| Bachelor's or higher (25+) | 46.2% | 23.3% (9.2–53.6%) n=32,505 | 37.3% (15.0–64.4%) n=463 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–8.6%) n=457 |
| Households without a vehicle | 5.4% | 3.9% (0.0–12.5%) n=32,322 | 3.2% (0.0–12.4%) n=457 |
| Broadband subscription | 97.1% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (81.2–100.0%) n=457 |
| Housing cost burden (≥30% income) | 34.8% | 23.7% (10.6–40.0%) n=32,322 | 27.0% (12.0–41.8%) n=457 |
| Homeownership rate | 54.9% | 78.7% (51.7–94.0%) n=32,322 | 82.1% (49.9–98.5%) n=457 |
| Crowded housing (>1 per room) | 6.6% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=457 |
| Foreign-born population | 31.4% | 2.6% (0.0–18.6%) n=32,553 | 6.2% (0.0–26.4%) n=464 |
| Single-parent households | 37.5% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (34.0–73.3%) n=450 |
| Population 65+ | 13.4% | 19.4% (10.8–33.6%) n=32,553 | 18.0% (10.9–33.1%) n=464 |
| Median age | 37.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (34.2–57.2) n=460 |
| Median household income | $107,706 | $72,070 ($46,039–$118,707) n=30,318 | $106,181 ($62,879–$172,423) n=419 |
| Median home value | $423,400 | $222,200 ($100,300–$579,820) n=30,049 | $423,400 ($215,180–$683,660) n=427 |
| Median gross rent | $1,879 | $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 | 80.0 yr ± 0.65 | 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 0.65 years of 80.0, 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