ZIP code
36250
in Alexandria, AlabamaPopulation 4,353
49.25/ 100
Ranked #17,315 of 32,066 US ZIPs (bottom 46%)
Ranked #134 of 619 Alabama ZIPs (top 22%)
Ranked #3 of 11 Anniston-Oxford, AL ZIPs (top 27%)
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.
Arsenic in groundwater
0.97%
in the bottom 1.7% nationally
Lower is healthier
ST16thUS2ndDefinition & 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 ›Nitrate in drinking water
3.0%
in the top 5.1% nationally
Lower is healthier
ST99thUS95thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams 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 ›PFAS in drinking water
67.6%
in the top 5.1% nationally
Lower is healthier
ST99thUS95thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Grocery access
0.21 per 1,000 residents
in the top 6.7% nationally
Higher is healthier
ST93rdUS93rdDefinition & 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 ›The read
In its overall standing, Alexandria, Alabama (ZIP 36250) lands in the bottom 46% nationally (17,315th) and the top 22% of Alabama (134th).
Taken together, the data gives a genuinely mixed reading: modeled arsenic rests in the bottom 1.7% nationally, grocery registers in the top 6.7% nationally, and unemployment resides in the bottom 14.8% nationally. Housing-cost burden settles in the bottom 19% nationally. On the other side, modeled nitrate is in the top 5.1% nationally, and pfas sits in the top 5.1% nationally. Modeled short sleep lands in the top 14.4% nationally, and humid heat lies in the top 15% nationally. Modeled industrial-pollution burden stands in the top 18% nationally. Childcare rests at the national minimum, shared with about 42% of ZIPs.
Put simply, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. On the overall standing, ZIP 36277, 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 Anniston-Oxford, AL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 48%
21%
Social Need / SDOH
healthier than 57%
16%
Environmental Hazard
healthier than 44%
14%
Preventive Care
healthier than 56%
13%
Disability
healthier than 47%
7%
Holding it back
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 32%
8%
Climate / Disaster Risk
healthier than 32%
5%
Healthcare Access
healthier than 36%
5%
Lifting this score
Chronic Disease Burden
healthier than 81%
21%
Social Need / SDOH
healthier than 79%
16%
Preventive Care
healthier than 64%
13%
Disability
healthier than 83%
7%
Climate / Disaster Risk
healthier than 61%
5%
About typical
Risk Behavior
healthier than 57%
11%
Mental Health
healthier than 45%
8%
Holding it back
Environmental Hazard
healthier than 33%
14%
Healthcare Access
healthier than 33%
5%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Social Need / SDOH
in the top 0.00%
16%
Preventive Care
healthier than 90%
13%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 60%
8%
Disability
healthier than 90%
7%
About typical
Environmental Hazard
healthier than 50%
14%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Healthcare Access
healthier than 20%
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
36206
Alabamashares a border
Score 42.05
Closest healthier
36277
Alabamashares a border
Score 50.43
Similar health profile
71078
Louisiana94% similar profile
Score 47.81
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 | 31.4% | 28.0–35.0 |
| High blood pressure among adults | 42.2% | 37.9–46.5 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–9.9 |
| Current asthma among adults | 10.1% | 8.9–11.5 |
| Coronary heart disease among adults | 7.2% | 6.4–8.0 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.9–9.0 |
| Depression among adults | 25.3% | 21.7–29.3 |
| Diagnosed diabetes among adults | 12.8% | 11.1–14.7 |
| High cholesterol among adults who have ever been screened | 40.8% | 36.5–45.2 |
| Obesity among adults | 35.9% | 29.1–42.9 |
| Stroke among adults | 3.7% | 3.3–4.0 |
| All teeth lost among adults aged >=65 years | 11.3% | 9.1–13.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.5–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.1% | 74.2–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 79.0% | 75.3–82.3 |
| Cholesterol screening among adults | 86.5% | 84.5–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.7% | 62.7–72.3 |
| Visited dentist or dental clinic in the past year among adults | 58.8% | 54.8–62.7 |
| Mammography use among women aged 50-74 years | 76.8% | 69.2–83.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.0–19.0 |
| Current cigarette smoking among adults | 14.6% | 12.4–17.2 |
| No leisure-time physical activity among adults | 27.0% | 22.8–31.7 |
| Short sleep duration among adults | 40.6% | 34.3–46.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.0% | 18.4–24.1 |
| Frequent mental distress among adults | 17.3% | 15.3–19.6 |
| Frequent physical distress among adults | 14.2% | 12.5–16.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 13.5–17.5 |
| Any disability among adults | 35.0% | 30.6–39.8 |
| Hearing disability among adults | 8.5% | 7.5–9.5 |
| Independent living disability among adults | 8.8% | 7.8–10.0 |
| Mobility disability among adults | 15.6% | 13.5–17.9 |
| Self-care disability among adults | 3.9% | 3.5–4.3 |
| Vision disability among adults | 4.8% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.2–26.3 |
| Food insecurity in the past 12 months among adults | 13.9% | 11.5–16.5 |
| Received food stamps in the past 12 months among adults | 9.4% | 7.6–11.4 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.5–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 7.5% | 6.5–8.6 |
| Loneliness among adults | 34.5% | 29.6–39.7 |
| Utility services shut-off threat in the past 12 months among adults | 6.9% | 5.8–8.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.8% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 5.7% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 10.2% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 26.8% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 0.2% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 1.9% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 92.1% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 15.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 85.0% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 0.7% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 53.2% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 17.7% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 39.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $83,406 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $211,600 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $908 | $1,021 ($677–$1,912) n=25,670 | $856 ($625–$1,266) n=503 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 75.7 yr ± 0.67 | 78.9 yr (74.7–82.8) n=31,308 | 74.7 yr (72.1–78.3) n=599 |
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 0.67 years of 75.7, 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