ZIP code
23347
in Eastville, VirginiaPopulation 502
47.81/ 100
Ranked #19,165 of 32,066 US ZIPs (bottom 40%)
Ranked #555 of 873 Virginia ZIPs (bottom 36%)
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
2.2 per 1,000 residents
in the top 0.04% 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 ›Median household income
$146,648
in the top 4.3% nationally
Higher is healthier
ST92ndUS96thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Distance to an emergency room
23.4 mi
in the top 3.7% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Physician access
2.2 per 1,000 residents
in the top 5.9% nationally
Higher is healthier
ST95thUS94thDefinition & 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 ›High cholesterol
44.8%
in the top 4.8% nationally
Lower is healthier
ST89thUS95thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Transit access
3.9 per 1,000 residents
in the top 7.7% nationally
Higher is healthier
ST92ndUS92ndDefinition & source ›
The number of public-transit stops 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
17.8%
in the top 8.8% nationally
Lower is healthier
ST85thUS91stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Poverty rate
2.8%
in the bottom 9.1% nationally
Lower is healthier
ST14thUS9thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Industrial-pollution burden
in the bottom 9.4% nationally
Lower is healthier
ST7thUS9thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Binge drinking
12.5%
in the bottom 9.9% nationally
Lower is healthier
ST22ndUS10thDefinition & 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 ›The read
Overall, Eastville, Virginia (ZIP 23347) lands in the bottom 40% nationally (19,165th) and the bottom 36% of Virginia (555th).
Several measures weigh most on this area's profile, and they come first: distance to an emergency room stands in the top 3.7% nationally, and modeled high cholesterol lies in the top 4.8% nationally. Modeled diabetes lands in the top 8.8% nationally. On the better side, grocery sits in the top 0.04% nationally, household income is in the top 4.3% nationally, and physicians settles in the top 5.9% nationally. Unemployment resides at the national minimum, shared with about 15% of ZIPs. Transit registers in the top 7.7% nationally, poverty rests in the bottom 9.1% nationally, and modeled industrial-pollution burden stands in the bottom 9.4% nationally.
Set beside the nearby areas, grocery runs far higher than the surrounding ZIPs on this measure. A note on the terms: industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier nearby comparison, ZIP 23310, just across the boundary, ranks better overall.
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
Social Need / SDOH
healthier than 65%
16%
Environmental Hazard
healthier than 95%
14%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 62%
11%
Mental Health
healthier than 61%
8%
About typical
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 35%
5%
Lifting this score
Environmental Hazard
healthier than 94%
14%
Mental Health
healthier than 69%
8%
About typical
Social Need / SDOH
healthier than 58%
16%
Preventive Care
healthier than 44%
13%
Risk Behavior
healthier than 54%
11%
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Disability
healthier than 23%
7%
Climate / Disaster Risk
healthier than 21%
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
23310
Virginiashares a border
Score 51.14
Closest healthier
23316
Virginiaabout 1.6 mi away
Score 51.19
Similar health profile
65737
Missouri97% similar profile
Score 47.73
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 | 35.0% | 31.2–38.9 |
| High blood pressure among adults | 45.8% | 41.1–50.7 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.4–11.6 |
| Current asthma among adults | 10.9% | 9.5–12.4 |
| Coronary heart disease among adults | 9.6% | 8.4–11.0 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 8.6–12.5 |
| Depression among adults | 22.2% | 18.7–25.8 |
| Diagnosed diabetes among adults | 17.8% | 15.3–20.6 |
| High cholesterol among adults who have ever been screened | 44.8% | 40.2–49.5 |
| Obesity among adults | 40.9% | 32.8–49.2 |
| Stroke among adults | 5.0% | 4.4–5.7 |
| All teeth lost among adults aged >=65 years | 13.5% | 11.0–16.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.6% | 8.3–13.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.3% | 78.4–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 81.5% | 78.0–84.5 |
| Cholesterol screening among adults | 88.4% | 86.4–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.1% | 63.3–72.8 |
| Visited dentist or dental clinic in the past year among adults | 63.9% | 60.3–67.4 |
| Mammography use among women aged 50-74 years | 73.1% | 64.5–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.5% | 10.0–15.2 |
| Current cigarette smoking among adults | 16.7% | 13.3–20.1 |
| No leisure-time physical activity among adults | 31.4% | 26.0–37.0 |
| Short sleep duration among adults | 33.6% | 27.3–40.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.2% | 21.2–29.3 |
| Frequent mental distress among adults | 16.2% | 14.0–18.5 |
| Frequent physical distress among adults | 17.2% | 14.7–19.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.7% | 13.3–18.3 |
| Any disability among adults | 38.2% | 32.9–43.3 |
| Hearing disability among adults | 9.5% | 8.2–10.9 |
| Independent living disability among adults | 10.4% | 8.8–12.1 |
| Mobility disability among adults | 20.9% | 17.6–24.3 |
| Self-care disability among adults | 5.5% | 4.7–6.4 |
| Vision disability among adults | 6.9% | 5.9–8.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.4% | 17.7–25.4 |
| Food insecurity in the past 12 months among adults | 17.0% | 13.4–21.1 |
| Received food stamps in the past 12 months among adults | 16.1% | 12.5–20.1 |
| Housing insecurity in the past 12 months among adults | 12.6% | 10.1–15.4 |
| Lack of reliable transportation in the past 12 months among adults | 9.1% | 7.5–10.9 |
| Loneliness among adults | 30.7% | 25.6–36.0 |
| Utility services shut-off threat in the past 12 months among adults | 9.3% | 7.5–11.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | VA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.8% | 10.6% (3.1–25.8%) n=32,364 | 9.2% (2.0–22.9%) n=863 |
| Uninsured 18–64 | 5.4% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (0.0–19.2%) n=861 |
| No HS diploma (25+) | 11.7% | 7.9% (1.8–20.7%) n=32,505 | 9.2% (1.9–20.7%) n=872 |
| Bachelor's or higher (25+) | 43.9% | 23.3% (9.2–53.6%) n=32,505 | 26.0% (9.2–59.8%) n=872 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.0–8.2%) n=860 |
| Households without a vehicle | 5.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.3%) n=862 |
| Broadband subscription | 84.9% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (69.5–97.9%) n=862 |
| Housing cost burden (≥30% income) | 19.0% | 23.7% (10.6–40.0%) n=32,322 | 23.1% (10.8–38.1%) n=862 |
| Homeownership rate | 83.8% | 78.7% (51.7–94.0%) n=32,322 | 78.1% (52.2–95.9%) n=862 |
| Crowded housing (>1 per room) | 2.2% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=862 |
| Foreign-born population | 6.8% | 2.6% (0.0–18.6%) n=32,553 | 2.9% (0.0–17.0%) n=874 |
| Single-parent households | 89.6% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (38.2–78.2%) n=855 |
| Population 65+ | 34.5% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (10.8–37.3%) n=874 |
| Median age | 61.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (34.0–59.2) n=864 |
| Median household income | $146,648 | $72,070 ($46,039–$118,707) n=30,318 | $73,854 ($46,504–$141,698) n=804 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $274,800 ($123,240–$642,380) n=789 |
| Median gross rent | $788 | $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 | 85.2 yr ± 2.79 | 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 2.79 years of 85.2, 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