ZIP code
23413
in Nassawadox, VirginiaPopulation 776
45.73/ 100
Ranked #21,620 of 32,066 US ZIPs (bottom 33%)
Ranked #629 of 873 Virginia ZIPs (bottom 28%)
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.
Grocery access
1.3 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Stroke
6.7%
in the top 1.8% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Physician access
6.3 per 1,000 residents
in the top 0.8% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Diabetes
21.5%
in the top 2.1% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Outpatient-care access
1.3 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Binge drinking
9.6%
in the bottom 0.9% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Crowded housing
16.9%
in the top 1.8% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›High blood pressure
51.6%
in the top 2.1% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Mobility disability
25.4%
in the top 3.0% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›High cholesterol
46.6%
in the top 1.9% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →
The read
Overall, Nassawadox, Virginia (ZIP 23413) places in the bottom 33% nationally (21,620th) and the bottom 28% of Virginia (629th).
The data opens on real and measurable burdens: modeled stroke lands in the top 1.8% nationally, and diabetes stands in the top 2.1% nationally. Crowded housing registers in the top 1.8% nationally, and modeled high blood pressure settles in the top 2.1% nationally. Modeled mobility disability sits in the top 3.0% nationally, and high cholesterol lies in the top 1.9% nationally. More encouragingly, grocery rests in the top 0.2% nationally, physicians resides in the top 0.8% nationally, and outpatient is in the top 1.2% nationally. Modeled binge drinking lands in the bottom 0.9% nationally.
Beside the areas that surround it, grocery runs far higher than the surrounding ZIPs on this measure. Among nearby ZIPs, the nearest healthier one overall is ZIP 23350, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 97%
14%
Preventive Care
healthier than 91%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 84%
8%
Healthcare Access
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 29%
16%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 22%
5%
Lifting this score
Environmental Hazard
healthier than 97%
14%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 90%
8%
Healthcare Access
healthier than 74%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 24%
16%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 8%
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
23307
Virginiashares a border
Score 45.66
Closest healthier
23350
Virginiashares a border
Score 47.71
Similar health profile
73024
Oklahoma98% similar profile
Score 46.55
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 | 39.0% | 34.9–42.9 |
| High blood pressure among adults | 51.6% | 47.0–56.0 |
| Cancer (non-skin) or melanoma among adults | 11.1% | 10.0–12.2 |
| Current asthma among adults | 11.5% | 10.1–12.9 |
| Coronary heart disease among adults | 11.0% | 9.6–12.4 |
| Chronic obstructive pulmonary disease among adults | 10.8% | 9.1–12.5 |
| Depression among adults | 19.7% | 16.5–23.0 |
| Diagnosed diabetes among adults | 21.5% | 18.7–24.3 |
| High cholesterol among adults who have ever been screened | 46.6% | 41.6–51.3 |
| Obesity among adults | 40.1% | 31.9–48.3 |
| Stroke among adults | 6.7% | 5.9–7.5 |
| All teeth lost among adults aged >=65 years | 19.1% | 15.9–22.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.8% | 8.8–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 86.4% | 84.3–88.3 |
| Visits to doctor for routine checkup within the past year among adults | 85.0% | 82.2–87.5 |
| Cholesterol screening among adults | 90.8% | 89.4–92.1 |
| Colorectal cancer screening among adults aged 45–75 years | 71.4% | 66.7–75.8 |
| Visited dentist or dental clinic in the past year among adults | 61.4% | 57.9–64.9 |
| Mammography use among women aged 50-74 years | 77.7% | 70.4–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 9.6% | 7.7–11.7 |
| Current cigarette smoking among adults | 13.9% | 11.5–16.4 |
| No leisure-time physical activity among adults | 34.7% | 29.0–40.4 |
| Short sleep duration among adults | 34.6% | 28.2–41.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.1% | 23.1–31.0 |
| Frequent mental distress among adults | 14.9% | 13.0–16.9 |
| Frequent physical distress among adults | 17.5% | 15.0–19.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.1% | 13.1–17.3 |
| Any disability among adults | 41.8% | 36.4–47.1 |
| Hearing disability among adults | 10.1% | 8.7–11.4 |
| Independent living disability among adults | 11.6% | 9.9–13.2 |
| Mobility disability among adults | 25.4% | 21.8–28.8 |
| Self-care disability among adults | 6.3% | 5.5–7.2 |
| Vision disability among adults | 8.3% | 7.2–9.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.1% | 19.3–27.0 |
| Food insecurity in the past 12 months among adults | 18.2% | 15.1–21.4 |
| Received food stamps in the past 12 months among adults | 16.9% | 14.0–20.0 |
| Housing insecurity in the past 12 months among adults | 12.6% | 10.6–14.7 |
| Lack of reliable transportation in the past 12 months among adults | 9.3% | 8.0–10.7 |
| Loneliness among adults | 32.6% | 27.4–37.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.7% | 7.4–10.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | VA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.0% | 10.6% (3.1–25.8%) n=32,364 | 9.2% (2.0–22.9%) n=863 |
| Uninsured 18–64 | 18.4% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (0.0–19.2%) n=861 |
| No HS diploma (25+) | 27.9% | 7.9% (1.8–20.7%) n=32,505 | 9.2% (1.9–20.7%) n=872 |
| Bachelor's or higher (25+) | 25.0% | 23.3% (9.2–53.6%) n=32,505 | 26.0% (9.2–59.8%) n=872 |
| Unemployment rate (16+) | 2.3% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.0–8.2%) n=860 |
| Households without a vehicle | 16.5% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.3%) n=862 |
| Broadband subscription | 88.7% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (69.5–97.9%) n=862 |
| Housing cost burden (≥30% income) | 19.7% | 23.7% (10.6–40.0%) n=32,322 | 23.1% (10.8–38.1%) n=862 |
| Homeownership rate | 50.4% | 78.7% (51.7–94.0%) n=32,322 | 78.1% (52.2–95.9%) n=862 |
| Crowded housing (>1 per room) | 16.9% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=862 |
| Foreign-born population | 11.0% | 2.6% (0.0–18.6%) n=32,553 | 2.9% (0.0–17.0%) n=874 |
| Single-parent households | 53.2% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (38.2–78.2%) n=855 |
| Population 65+ | 27.2% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (10.8–37.3%) n=874 |
| Median age | 47.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (34.0–59.2) n=864 |
| Median household income | $56,250 | $72,070 ($46,039–$118,707) n=30,318 | $73,854 ($46,504–$141,698) n=804 |
| Median home value | $196,900 | $222,200 ($100,300–$579,820) n=30,049 | $274,800 ($123,240–$642,380) n=789 |
| Median gross rent | $673 | $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 | 82.4 yr ± 1.50 | 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 1.50 years of 82.4, 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