ZIP code
20833
in Brookeville, MarylandPopulation 7,860
70.29/ 100
Ranked #534 of 32,066 US ZIPs (top 1.7%)
Ranked #27 of 458 Maryland ZIPs (top 5.9%)
Ranked #59 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (top 19%)
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
$204,375
in the top 1.0% nationally
Higher is healthier
ST95thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Lack of transportation
4.5%
in the bottom 3.8% nationally
Lower is healthier
ST11thUS4thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Obesity
25.1%
in the bottom 5.7% nationally
Lower is healthier
ST6thUS6thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Cognitive disability
9.2%
in the bottom 2.6% nationally
Lower is healthier
ST7thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Independent-living disability
4.9%
in the bottom 2.3% nationally
Lower is healthier
ST7thUS2ndDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Utility shut-off threat
4.3%
in the bottom 5.7% nationally
Lower is healthier
ST11thUS6thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Mobility disability
8.8%
in the bottom 5.0% nationally
Lower is healthier
ST12thUS5thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Food insecurity
7.9%
in the bottom 7.0% nationally
Lower is healthier
ST13thUS7thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Fiber broadband
97.3%
in the top 7.8% nationally
Higher is healthier
ST92ndUS92ndDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Energy-cost burden
1.5%
in the bottom 4.7% nationally
Lower is healthier
ST11thUS5thDefinition & 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
In its overall standing, Brookeville, Maryland (ZIP 20833) lands in the top 1.7% healthiest ZIPs nationally (534th) and the top 5.9% of Maryland (27th).
Taken together, the data gives a genuinely mixed reading: household income is in the top 1.0% nationally, modeled transportation sits in the bottom 3.8% nationally, and modeled obesity lands in the bottom 5.7% nationally. Modeled cognitive disability lies in the bottom 2.6% nationally, independent living disability stands in the bottom 2.3% nationally, and utility shutoff rests in the bottom 5.7% nationally. Modeled mobility disability registers in the bottom 5.0% nationally, and food insecurity resides in the bottom 7.0% nationally. Fiber broadband settles in the top 7.8% nationally, and modeled energy burden is in the bottom 4.7% nationally.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, energy burden is the share of household income that goes to home energy bills. On the overall standing, ZIP 20777, just across the boundary, ranks healthier. In the round, the area also sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.
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 86%
21%
Social Need / SDOH
healthier than 96%
16%
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 96%
7%
About typical
Climate / Disaster Risk
healthier than 52%
5%
Healthcare Access
healthier than 51%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 87%
16%
Environmental Hazard
healthier than 90%
14%
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 90%
7%
About typical
Climate / Disaster Risk
healthier than 44%
5%
Healthcare Access
healthier than 47%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 72%
16%
Environmental Hazard
healthier than 97%
14%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 80%
8%
Disability
healthier than 77%
7%
About typical
Chronic Disease Burden
healthier than 58%
21%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Healthcare Access
healthier than 30%
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
20777
Marylandshares a border
Score 74.33
Closest healthier
20832
Marylandshares a border
Score 71.61
Similar health profile
22066
Virginia100% similar profile
Score 75.50
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 | 23.1% | 21.3–25.0 |
| High blood pressure among adults | 32.1% | 29.8–34.4 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.6 |
| Current asthma among adults | 9.4% | 8.5–10.4 |
| Coronary heart disease among adults | 5.2% | 4.7–5.8 |
| Chronic obstructive pulmonary disease among adults | 4.5% | 4.0–5.2 |
| Depression among adults | 18.9% | 16.9–20.9 |
| Diagnosed diabetes among adults | 9.7% | 8.6–10.8 |
| High cholesterol among adults who have ever been screened | 42.7% | 40.1–45.2 |
| Obesity among adults | 25.1% | 22.2–28.1 |
| Stroke among adults | 2.7% | 2.5–2.9 |
| All teeth lost among adults aged >=65 years | 5.7% | 4.8–6.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.6% | 4.7–6.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.9% | 74.3–79.2 |
| Visits to doctor for routine checkup within the past year among adults | 78.2% | 75.9–80.3 |
| Cholesterol screening among adults | 92.1% | 91.1–93.0 |
| Colorectal cancer screening among adults aged 45–75 years | 71.6% | 68.9–74.3 |
| Visited dentist or dental clinic in the past year among adults | 73.2% | 71.1–75.2 |
| Mammography use among women aged 50-74 years | 80.5% | 76.4–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 12.7–16.3 |
| Current cigarette smoking among adults | 6.8% | 5.7–8.0 |
| No leisure-time physical activity among adults | 16.0% | 14.1–18.1 |
| Short sleep duration among adults | 31.4% | 28.6–34.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.9% | 11.5–14.5 |
| Frequent mental distress among adults | 11.9% | 10.7–13.2 |
| Frequent physical distress among adults | 10.2% | 9.1–11.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.2% | 8.1–10.3 |
| Any disability among adults | 20.6% | 18.5–22.7 |
| Hearing disability among adults | 5.3% | 4.7–5.9 |
| Independent living disability among adults | 4.9% | 4.3–5.5 |
| Mobility disability among adults | 8.8% | 7.7–9.9 |
| Self-care disability among adults | 2.4% | 2.1–2.7 |
| Vision disability among adults | 3.1% | 2.8–3.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.2% | 17.1–21.4 |
| Food insecurity in the past 12 months among adults | 7.9% | 6.8–9.2 |
| Received food stamps in the past 12 months among adults | 5.0% | 4.2–5.9 |
| Housing insecurity in the past 12 months among adults | 7.3% | 6.3–8.3 |
| Lack of reliable transportation in the past 12 months among adults | 4.5% | 3.9–5.0 |
| Loneliness among adults | 30.5% | 27.7–33.3 |
| Utility services shut-off threat in the past 12 months among adults | 4.3% | 3.7–4.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.8% | 10.6% (3.1–25.8%) n=32,364 | 6.7% (1.1–19.3%) n=459 |
| Uninsured 18–64 | 2.4% | 9.0% (1.5–24.3%) n=32,286 | 4.8% (0.0–13.1%) n=459 |
| No HS diploma (25+) | 1.6% | 7.9% (1.8–20.7%) n=32,505 | 6.3% (0.5–16.6%) n=463 |
| Bachelor's or higher (25+) | 64.8% | 23.3% (9.2–53.6%) n=32,505 | 37.3% (15.0–64.4%) n=463 |
| Unemployment rate (16+) | 4.2% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–8.6%) n=457 |
| Households without a vehicle | 1.4% | 3.9% (0.0–12.5%) n=32,322 | 3.2% (0.0–12.4%) n=457 |
| Broadband subscription | 93.7% | 89.3% (75.1–97.1%) n=32,322 | 93.3% (81.2–100.0%) n=457 |
| Housing cost burden (≥30% income) | 21.7% | 23.7% (10.6–40.0%) n=32,322 | 27.0% (12.0–41.8%) n=457 |
| Homeownership rate | 94.8% | 78.7% (51.7–94.0%) n=32,322 | 82.1% (49.9–98.5%) n=457 |
| Crowded housing (>1 per room) | 0.1% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=457 |
| Foreign-born population | 14.1% | 2.6% (0.0–18.6%) n=32,553 | 6.2% (0.0–26.4%) n=464 |
| Single-parent households | 49.5% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (34.0–73.3%) n=450 |
| Population 65+ | 20.5% | 19.4% (10.8–33.6%) n=32,553 | 18.0% (10.9–33.1%) n=464 |
| Median age | 45.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (34.2–57.2) n=460 |
| Median household income | $204,375 | $72,070 ($46,039–$118,707) n=30,318 | $106,181 ($62,879–$172,423) n=419 |
| Median home value | $797,100 | $222,200 ($100,300–$579,820) n=30,049 | $423,400 ($215,180–$683,660) n=427 |
| Median gross rent | $2,074 | $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 | 82.7 yr ± 1.03 | 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 1.03 years of 82.7, 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