ZIP code
35618
in Courtland, AlabamaPopulation 1,896
39.97/ 100
Ranked #26,777 of 32,066 US ZIPs (bottom 16%)
Ranked #404 of 619 Alabama ZIPs (bottom 35%)
Ranked #14 of 15 Decatur, AL ZIPs (bottom 6.7%)
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
0.96%
in the bottom 1.5% nationally
Lower is healthier
ST15thUS1stDefinition & 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 ›High blood pressure
51.6%
in the top 2.1% nationally
Lower is healthier
ST82ndUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Diabetes
19.8%
in the top 4.1% nationally
Lower is healthier
ST81stUS96thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Industrial-pollution burden
in the top 4.7% nationally
Lower is healthier
ST95thUS95thDefinition & 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
11.3%
in the bottom 4.0% nationally
Lower is healthier
ST17thUS4thDefinition & 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 ›Stroke
5.7%
in the top 6.0% nationally
Lower is healthier
ST80thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Home broadband subscription
69.4%
in the bottom 5.8% nationally
Higher is healthier
ST10thUS6thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Short sleep
43%
in the top 6.5% nationally
Lower is healthier
ST78thUS94thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Mobility disability
22.7%
in the top 7.5% nationally
Lower is healthier
ST75thUS93rdDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Obesity
44.7%
in the top 4.9% nationally
Lower is healthier
ST80thUS95thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
By the composite measure, Courtland, Alabama (ZIP 35618) sits in the bottom 16% nationally (26,777th) and the bottom 35% of Alabama (404th).
The main burdens in the data show plainly and lead the picture: modeled high blood pressure lands in the top 2.1% nationally, diabetes resides in the top 4.1% nationally, and industrial-pollution burden lies in the top 4.7% nationally. Modeled stroke settles in the top 6.0% nationally, home broadband subscription stands in the bottom 5.8% nationally, and modeled short sleep is in the top 6.5% nationally. Modeled mobility disability rests in the top 7.5% nationally, and obesity sits in the top 4.9% nationally. More positively, modeled arsenic registers in the bottom 1.5% nationally, and binge drinking lands in the bottom 4.0% nationally.
Compared with the ZIPs that surround it, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. In plain language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 35643, just across the boundary, ranks healthier 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. Compare it against the US, this state and the Decatur, AL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 63%
13%
About typical
Mental Health
healthier than 48%
8%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 18%
16%
Environmental Hazard
healthier than 38%
14%
Risk Behavior
healthier than 17%
11%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 29%
5%
Healthcare Access
healthier than 34%
5%
Lifting this score
Preventive Care
healthier than 72%
13%
Mental Health
healthier than 73%
8%
About typical
Climate / Disaster Risk
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 34%
16%
Environmental Hazard
healthier than 27%
14%
Risk Behavior
healthier than 31%
11%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 31%
5%
Lifting this score
Preventive Care
healthier than 93%
13%
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 7%
16%
Risk Behavior
healthier than 7%
11%
Disability
healthier than 7%
7%
Healthcare Access
healthier than 36%
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
35643
Alabamashares a border
Score 40.34
Closest healthier
35650
Alabamashares a border
Score 41.59
Similar health profile
29836
South Carolina98% similar profile
Score 32.27
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 | 35.5% | 31.7–39.5 |
| High blood pressure among adults | 51.6% | 47.1–56.2 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.2–8.8 |
| Current asthma among adults | 11.2% | 9.8–12.7 |
| Coronary heart disease among adults | 8.9% | 8.0–9.9 |
| Chronic obstructive pulmonary disease among adults | 10.3% | 9.2–11.6 |
| Depression among adults | 21.9% | 18.4–25.6 |
| Diagnosed diabetes among adults | 19.8% | 17.5–22.5 |
| High cholesterol among adults who have ever been screened | 43.4% | 38.7–48.3 |
| Obesity among adults | 44.7% | 36.1–53.5 |
| Stroke among adults | 5.7% | 5.2–6.2 |
| All teeth lost among adults aged >=65 years | 20.5% | 16.7–24.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.4% | 9.5–13.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.8% | 79.2–84.1 |
| Visits to doctor for routine checkup within the past year among adults | 82.8% | 79.6–85.8 |
| Cholesterol screening among adults | 86.7% | 84.8–88.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.2% | 62.9–72.6 |
| Visited dentist or dental clinic in the past year among adults | 51.4% | 47.1–55.3 |
| Mammography use among women aged 50-74 years | 78.0% | 70.0–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.3% | 9.1–13.9 |
| Current cigarette smoking among adults | 19.0% | 16.5–21.7 |
| No leisure-time physical activity among adults | 35.4% | 30.4–40.9 |
| Short sleep duration among adults | 43.0% | 35.3–49.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.1% | 25.9–32.7 |
| Frequent mental distress among adults | 17.9% | 15.9–20.1 |
| Frequent physical distress among adults | 16.8% | 14.9–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 16.0–20.1 |
| Any disability among adults | 41.9% | 37.1–47.2 |
| Hearing disability among adults | 8.8% | 7.9–9.9 |
| Independent living disability among adults | 12.1% | 10.9–13.5 |
| Mobility disability among adults | 22.7% | 20.2–25.5 |
| Self-care disability among adults | 6.5% | 5.9–7.2 |
| Vision disability among adults | 8.2% | 7.5–9.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.1% | 24.9–33.3 |
| Food insecurity in the past 12 months among adults | 26.6% | 23.0–30.1 |
| Received food stamps in the past 12 months among adults | 21.3% | 18.3–24.3 |
| Housing insecurity in the past 12 months among adults | 18.8% | 16.2–21.4 |
| Lack of reliable transportation in the past 12 months among adults | 12.9% | 11.3–14.5 |
| Loneliness among adults | 37.2% | 31.8–42.8 |
| Utility services shut-off threat in the past 12 months among adults | 13.4% | 11.6–15.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 25.1% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 13.1% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 10.5% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 15.4% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 1.3% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 69.4% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 21.2% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 70.0% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 2.3% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 2.6% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 52.4% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 20.0% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 48.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $50,750 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $104,000 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $533 | $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 | 73.1 yr ± 0.76 | 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 0.76 years of 73.1, 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