ZIP code
22572
in Warsaw, VirginiaPopulation 6,597
46.60/ 100
Ranked #20,639 of 32,066 US ZIPs (bottom 36%)
Ranked #599 of 873 Virginia ZIPs (bottom 31%)
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.
Slow internet speeds
1.3%
in the top 9.1% nationally
Lower is healthier
ST94thUS91stDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Elder-services access
0.16 per 1,000 residents
in the top 9.4% nationally
Higher is healthier
ST95thUS91stDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Distance to a Superfund site
1.9 mi
in the bottom 10.7% nationally
Higher is healthier
ST10thUS11thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Child-care access
0.48 per 1,000 residents
in the top 11.7% nationally
Higher is healthier
ST93rdUS88thDefinition & source ›
The number of child day-care services 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 ›Pharmacy access
0.32 per 1,000 residents
in the top 12.5% nationally
Higher is healthier
ST91stUS88thDefinition & source ›
The number of pharmacies 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 ›Natural-disaster risk
in the top 16% nationally
Lower is healthier
ST97thUS84thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Tooth loss
21.2%
in the top 14.4% nationally
Lower is healthier
ST91stUS86thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
By its overall health score, Warsaw, Virginia (ZIP 22572) lands in the bottom 36% nationally (20,639th) and the bottom 31% of Virginia (599th).
Neither strongly one way nor the other, the measures sit mixed: elder services stands in the top 9.4% nationally, and grocery settles in the top 10.6% nationally. Childcare lies in the top 11.7% nationally, and pharmacy resides in the top 12.5% nationally. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs. Modeled arsenic registers in the bottom 15% nationally. Against that, slow internet speeds sits in the top 9.1% nationally, distance to a Superfund site rests in the bottom 10.7% nationally, and households without a vehicle is in the top 13.4% nationally. Distance to a hazardous-chemical facility stands at the national minimum, shared with about 31% of ZIPs.
To translate a couple of terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Overall, the nearest healthier neighbor is ZIP 22435, 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 73%
14%
Healthcare Access
healthier than 69%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Preventive Care
healthier than 52%
13%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 46%
8%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Disability
healthier than 24%
7%
Lifting this score
Healthcare Access
healthier than 78%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Mental Health
healthier than 51%
8%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 38%
16%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 28%
11%
Disability
healthier than 28%
7%
Climate / Disaster Risk
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 72.9; chronic-disease standing 20.5 — 52 points apart, cleaner on the environment than it is on chronic illness.
Ranked #2,316 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
22435
Virginiashares a border
Score 52.16
Closest healthier
22454
Virginiashares a border
Score 48.19
Similar health profile
29353
South Carolina97% similar profile
Score 45.14
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 | 32.0% | 28.8–35.4 |
| High blood pressure among adults | 43.4% | 39.3–47.5 |
| Cancer (non-skin) or melanoma among adults | 9.1% | 8.3–10.0 |
| Current asthma among adults | 11.4% | 10.1–12.8 |
| Coronary heart disease among adults | 8.5% | 7.6–9.4 |
| Chronic obstructive pulmonary disease among adults | 9.3% | 8.2–10.5 |
| Depression among adults | 22.8% | 19.6–26.3 |
| Diagnosed diabetes among adults | 16.0% | 13.9–18.0 |
| High cholesterol among adults who have ever been screened | 41.2% | 37.1–45.4 |
| Obesity among adults | 37.1% | 30.4–44.0 |
| Stroke among adults | 4.8% | 4.4–5.3 |
| All teeth lost among adults aged >=65 years | 21.2% | 17.8–25.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.4% | 9.6–13.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.3% | 76.7–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.8% | 76.6–82.9 |
| Cholesterol screening among adults | 86.9% | 85.2–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 65.9% | 61.1–70.5 |
| Visited dentist or dental clinic in the past year among adults | 60.2% | 56.8–63.6 |
| Mammography use among women aged 50-74 years | 76.0% | 68.7–82.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.6% | 11.3–16.3 |
| Current cigarette smoking among adults | 17.0% | 14.7–19.6 |
| No leisure-time physical activity among adults | 30.4% | 25.9–34.9 |
| Short sleep duration among adults | 37.0% | 31.5–42.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.7% | 21.8–27.9 |
| Frequent mental distress among adults | 17.4% | 15.4–19.4 |
| Frequent physical distress among adults | 16.3% | 14.4–18.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.8% | 14.8–19.0 |
| Any disability among adults | 38.9% | 34.4–43.5 |
| Hearing disability among adults | 8.6% | 7.6–9.6 |
| Independent living disability among adults | 10.4% | 9.2–11.7 |
| Mobility disability among adults | 19.8% | 17.4–22.3 |
| Self-care disability among adults | 5.1% | 4.6–5.7 |
| Vision disability among adults | 6.6% | 5.9–7.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.4% | 20.8–28.0 |
| Food insecurity in the past 12 months among adults | 17.7% | 15.0–20.4 |
| Received food stamps in the past 12 months among adults | 15.5% | 13.2–18.0 |
| Housing insecurity in the past 12 months among adults | 13.5% | 11.6–15.6 |
| Lack of reliable transportation in the past 12 months among adults | 9.3% | 8.1–10.6 |
| Loneliness among adults | 35.1% | 30.1–40.2 |
| Utility services shut-off threat in the past 12 months among adults | 8.9% | 7.6–10.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | VA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.8% | 10.6% (3.1–25.8%) n=32,364 | 9.2% (2.0–22.9%) n=863 |
| Uninsured 18–64 | 6.9% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (0.0–19.2%) n=861 |
| No HS diploma (25+) | 14.6% | 7.9% (1.8–20.7%) n=32,505 | 9.2% (1.9–20.7%) n=872 |
| Bachelor's or higher (25+) | 17.3% | 23.3% (9.2–53.6%) n=32,505 | 26.0% (9.2–59.8%) n=872 |
| Unemployment rate (16+) | 3.3% | 3.9% (0.0–9.8%) n=32,274 | 3.2% (0.0–8.2%) n=860 |
| Households without a vehicle | 10.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.3%) n=862 |
| Broadband subscription | 80.5% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (69.5–97.9%) n=862 |
| Housing cost burden (≥30% income) | 17.8% | 23.7% (10.6–40.0%) n=32,322 | 23.1% (10.8–38.1%) n=862 |
| Homeownership rate | 70.0% | 78.7% (51.7–94.0%) n=32,322 | 78.1% (52.2–95.9%) n=862 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.0%) n=862 |
| Foreign-born population | 2.8% | 2.6% (0.0–18.6%) n=32,553 | 2.9% (0.0–17.0%) n=874 |
| Single-parent households | 61.1% | 53.6% (37.3–74.1%) n=32,087 | 54.3% (38.2–78.2%) n=855 |
| Population 65+ | 22.9% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (10.8–37.3%) n=874 |
| Median age | 40.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (34.0–59.2) n=864 |
| Median household income | $67,542 | $72,070 ($46,039–$118,707) n=30,318 | $73,854 ($46,504–$141,698) n=804 |
| Median home value | $238,400 | $222,200 ($100,300–$579,820) n=30,049 | $274,800 ($123,240–$642,380) n=789 |
| Median gross rent | $1,002 | $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 | 77.0 yr ± 1.11 | 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 1.11 years of 77.0, 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