ZIP code
20181
in Nokesville, VirginiaPopulation 10,774
62.57/ 100
Ranked #3,192 of 32,066 US ZIPs (top 10.0%)
Ranked #107 of 873 Virginia ZIPs (top 12.3%)
Ranked #153 of 308 Washington-Arlington-Alexandria, DC-VA-MD-WV ZIPs (top 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.
Median household income
$164,167
in the top 2.6% nationally
Higher is healthier
ST94thUS97thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Poverty rate
2.5%
in the bottom 8.1% nationally
Lower is healthier
ST13thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Food insecurity
8.4%
in the bottom 9.2% nationally
Lower is healthier
ST10thUS9thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST11thUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Energy-cost burden
1.7%
in the bottom 8.1% nationally
Lower is healthier
ST11thUS8thDefinition & 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 ›Lithium in drinking water
30 µg/L
in the top 31% nationally
Lower is healthier
ST92ndUS69thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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 ›Arsenic in groundwater
5.2%
in the top 36% nationally
Lower is healthier
ST99thUS64thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms 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 ›The read
In its overall standing, Nokesville, Virginia (ZIP 20181) lands in the top 10.0% healthiest ZIPs nationally (3,192nd) and the top 12.3% of Virginia (107th).
Taken together, the data gives a genuinely mixed reading: household income stands in the top 2.6% nationally, poverty rests in the bottom 8.1% nationally, and modeled food insecurity registers in the bottom 9.2% nationally. Modeled transportation resides in the bottom 9.9% nationally, energy burden settles in the bottom 8.1% nationally, and utility shutoff is in the bottom 10.9% nationally. Modeled housing insecurity sits in the bottom 11.4% nationally, and homeownership lands in the top 11.8% nationally. Modeled fair or poor health lies in the bottom 11.5% nationally, and tooth loss stands in the bottom 10.1% nationally.
Against the wider neighborhood, park land runs far lower 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 20112, 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. 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 93%
16%
Environmental Hazard
healthier than 60%
14%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 86%
7%
About typical
Climate / Disaster Risk
healthier than 41%
5%
Healthcare Access
healthier than 58%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 79%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 88%
7%
Healthcare Access
healthier than 66%
5%
Holding it back
Environmental Hazard
healthier than 39%
14%
Climate / Disaster Risk
healthier than 30%
5%
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Preventive Care
healthier than 61%
13%
About typical
Chronic Disease Burden
healthier than 42%
21%
Environmental Hazard
healthier than 54%
14%
Risk Behavior
healthier than 47%
11%
Disability
healthier than 50%
7%
Holding it back
Mental Health
healthier than 30%
8%
Climate / Disaster Risk
healthier than 20%
5%
Healthcare Access
healthier than 39%
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
20112
Virginiashares a border
Score 63.99
Closest healthier
20136
Virginiashares a border
Score 65.81
Similar health profile
28207
North Carolina99% similar profile
Score 72.78
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 | 25.8% | 23.3–28.9 |
| High blood pressure among adults | 33.4% | 30.5–37.2 |
| Cancer (non-skin) or melanoma among adults | 8.7% | 8.0–9.6 |
| Current asthma among adults | 10.0% | 9.0–11.4 |
| Coronary heart disease among adults | 5.5% | 4.9–6.1 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.8–6.3 |
| Depression among adults | 22.4% | 19.8–25.9 |
| Diagnosed diabetes among adults | 10.4% | 9.2–12.0 |
| High cholesterol among adults who have ever been screened | 39.1% | 35.9–43.1 |
| Obesity among adults | 32.2% | 27.9–37.6 |
| Stroke among adults | 2.8% | 2.6–3.1 |
| All teeth lost among adults aged >=65 years | 7.4% | 6.0–8.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.7–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 74.8–80.5 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.6–83.2 |
| Cholesterol screening among adults | 89.4% | 88.2–90.8 |
| Colorectal cancer screening among adults aged 45–75 years | 68.5% | 64.8–71.9 |
| Visited dentist or dental clinic in the past year among adults | 73.7% | 71.2–76.1 |
| Mammography use among women aged 50-74 years | 77.2% | 71.4–82.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.9–19.2 |
| Current cigarette smoking among adults | 11.0% | 9.4–13.0 |
| No leisure-time physical activity among adults | 19.7% | 16.9–23.2 |
| Short sleep duration among adults | 34.3% | 30.7–38.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.5% | 12.7–16.7 |
| Frequent mental distress among adults | 14.7% | 13.2–16.7 |
| Frequent physical distress among adults | 11.8% | 10.5–13.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.0% | 10.7–13.7 |
| Any disability among adults | 27.4% | 24.4–31.2 |
| Hearing disability among adults | 6.0% | 5.4–6.8 |
| Independent living disability among adults | 6.2% | 5.6–7.1 |
| Mobility disability among adults | 11.7% | 10.3–13.6 |
| Self-care disability among adults | 2.7% | 2.5–3.1 |
| Vision disability among adults | 3.6% | 3.2–4.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.5% | 16.0–21.1 |
| Food insecurity in the past 12 months among adults | 8.4% | 7.2–9.8 |
| Received food stamps in the past 12 months among adults | 6.0% | 5.1–7.1 |
| Housing insecurity in the past 12 months among adults | 7.5% | 6.5–8.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.6–5.9 |
| Loneliness among adults | 30.9% | 27.3–34.9 |
| Utility services shut-off threat in the past 12 months among adults | 4.8% | 4.2–5.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | VA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.5% | 10.6% (3.1–25.8%) n=32,364 | 9.2% (2.0–22.9%) n=863 |
| Uninsured 18–64 | 6.8% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (0.0–19.2%) n=861 |
| No HS diploma (25+) | 3.1% | 7.9% (1.8–20.7%) n=32,505 | 9.2% (1.9–20.7%) n=872 |
| Bachelor's or higher (25+) | 45.5% | 23.3% (9.2–53.6%) n=32,505 | 26.0% (9.2–59.8%) n=872 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.0–8.2%) n=860 |
| Households without a vehicle | 1.2% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.3%) n=862 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (69.5–97.9%) n=862 |
| Housing cost burden (≥30% income) | 23.4% | 23.7% (10.6–40.0%) n=32,322 | 23.1% (10.8–38.1%) n=862 |
| Homeownership rate | 92.9% | 78.7% (51.7–94.0%) n=32,322 | 78.1% (52.2–95.9%) n=862 |
| Crowded housing (>1 per room) | 0.9% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=862 |
| Foreign-born population | 9.9% | 2.6% (0.0–18.6%) n=32,553 | 2.9% (0.0–17.0%) n=874 |
| Single-parent households | 54.8% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (38.2–78.2%) n=855 |
| Population 65+ | 14.5% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (10.8–37.3%) n=874 |
| Median age | 39.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (34.0–59.2) n=864 |
| Median household income | $164,167 | $72,070 ($46,039–$118,707) n=30,318 | $73,854 ($46,504–$141,698) n=804 |
| Median home value | $709,300 | $222,200 ($100,300–$579,820) n=30,049 | $274,800 ($123,240–$642,380) n=789 |
| Median gross rent | $1,487 | $1,021 ($677–$1,912) n=25,670 | $1,144 ($742–$2,191) n=615 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | VA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.5 yr ± 0.95 | 78.9 yr (74.7–82.8) n=31,308 | 77.6 yr (74.5–81.4) n=826 |
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 0.95 years of 80.5, 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