ZIP code
35630
in Florence, AlabamaPopulation 34,028
41.44/ 100
Ranked #25,719 of 32,066 US ZIPs (bottom 20%)
Ranked #353 of 619 Alabama ZIPs (bottom 43%)
Ranked #11 of 13 Florence-Muscle Shoals, AL ZIPs (bottom 15%)
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.
Expected annual disaster loss
$1
in the top 1.9% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Physician access
2.7 per 1,000 residents
in the top 4.2% nationally
Higher is healthier
ST96thUS96thDefinition & 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 ›Dental provider access
1.2 per 1,000 residents
in the top 4.7% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The number of dental 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 ›Short sleep
43.2%
in the top 6.1% nationally
Lower is healthier
ST79thUS94thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Homeownership rate
45.3%
in the bottom 7.0% nationally
Higher is healthier
ST5thUS7thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Pharmacy access
0.43 per 1,000 residents
in the top 7.1% nationally
Higher is healthier
ST89thUS93rdDefinition & 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 ›Elder-services access
0.18 per 1,000 residents
in the top 7.9% nationally
Higher is healthier
ST91stUS92ndDefinition & 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 ›PFOA in drinking water
89.9%
in the top 8.7% nationally
Lower is healthier
ST95thUS91stDefinition & source ›
The share of residents served by public water systems where PFOA, one of the man-made “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›PFOS in drinking water
89.9%
in the top 8.9% nationally
Lower is healthier
ST95thUS91stDefinition & source ›
The share of residents served by public water systems where PFOS, one of the most common “forever chemicals,” was detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Natural-disaster risk
in the top 11.0% nationally
Lower is healthier
ST96thUS89thDefinition & 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 ›The read
By the composite health measure, ZIP 35630, one of several in Florence, Alabama ranks in the bottom 20% nationally (25,719th) and the bottom 43% of Alabama (353rd).
Several measures weigh most on this area's profile, and they come first: modeled expected annual loss is in the top 1.9% nationally, and short sleep settles in the top 6.1% nationally. Homeownership resides in the bottom 7.0% nationally, and PFOA in drinking water registers in the top 8.7% nationally. PFOS in drinking water rests in the top 8.9% nationally. On the better side, physicians stands in the top 4.2% nationally, and dental providers lies in the top 4.7% nationally. Distance to an emergency room lands at the national minimum, shared with about 11% of ZIPs. Pharmacy sits in the top 7.1% nationally, and elder services is in the top 7.9% nationally.
Read against the ZIPs closest to it, expected annual loss runs far higher than the surrounding ZIPs on this measure. To spell things out, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. PFOA in drinking water is one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. PFOS in drinking water is a common one of the man-made "forever chemicals" that build up in the body and environment instead of breaking down. Close by, ZIP 35633, 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 Florence-Muscle Shoals, AL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 15%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 21%
8%
Disability
healthier than 18%
7%
Climate / Disaster Risk
healthier than 26%
5%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Healthcare Access
in the top 0.00%
5%
About typical
Risk Behavior
healthier than 41%
11%
Disability
healthier than 46%
7%
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Social Need / SDOH
healthier than 39%
16%
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 16%
13%
Mental Health
healthier than 22%
8%
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 50%
21%
Holding it back
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
healthier than 33%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 25%
7%
Climate / Disaster Risk
healthier than 17%
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 74.3 ± 0.8 years. A median household income of $46,304 predicts 77.0 years — 2.7 years below.
Ranked #3,735 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
35633
Alabamashares a border
Score 48.36
Closest healthier
35634
Alabamashares a border
Score 54.43
Similar health profile
63111
Missouri98% similar profile
Score 31.67
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 | 30.3% | 27.1–33.6 |
| High blood pressure among adults | 40.9% | 36.9–45.2 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.5–9.1 |
| Current asthma among adults | 10.6% | 9.3–12.0 |
| Coronary heart disease among adults | 7.9% | 7.1–8.7 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.2–10.2 |
| Depression among adults | 24.8% | 21.2–28.8 |
| Diagnosed diabetes among adults | 14.5% | 12.7–16.4 |
| High cholesterol among adults who have ever been screened | 39.1% | 34.9–43.6 |
| Obesity among adults | 38.4% | 30.7–46.3 |
| Stroke among adults | 4.4% | 4.1–4.8 |
| All teeth lost among adults aged >=65 years | 20.4% | 16.9–24.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.1% | 9.5–12.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.6% | 75.1–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 79.5% | 76.0–82.8 |
| Cholesterol screening among adults | 82.7% | 80.5–84.7 |
| Colorectal cancer screening among adults aged 45–75 years | 64.9% | 59.8–69.8 |
| Visited dentist or dental clinic in the past year among adults | 52.4% | 48.6–56.3 |
| Mammography use among women aged 50-74 years | 73.2% | 65.1–80.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.8% | 11.2–16.8 |
| Current cigarette smoking among adults | 16.1% | 14.0–18.4 |
| No leisure-time physical activity among adults | 30.4% | 26.1–35.2 |
| Short sleep duration among adults | 43.2% | 36.7–50.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.8% | 22.1–27.7 |
| Frequent mental distress among adults | 19.2% | 17.1–21.5 |
| Frequent physical distress among adults | 15.3% | 13.6–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.6% | 16.6–20.8 |
| Any disability among adults | 39.6% | 35.1–44.3 |
| Hearing disability among adults | 9.2% | 8.1–10.2 |
| Independent living disability among adults | 11.7% | 10.5–13.0 |
| Mobility disability among adults | 18.3% | 16.3–20.5 |
| Self-care disability among adults | 5.3% | 4.9–5.8 |
| Vision disability among adults | 7.2% | 6.6–7.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.2% | 20.9–27.7 |
| Food insecurity in the past 12 months among adults | 21.9% | 19.4–24.5 |
| Received food stamps in the past 12 months among adults | 18.0% | 16.0–20.3 |
| Housing insecurity in the past 12 months among adults | 15.2% | 13.4–17.2 |
| Lack of reliable transportation in the past 12 months among adults | 11.9% | 10.6–13.3 |
| Loneliness among adults | 35.7% | 30.8–40.8 |
| Utility services shut-off threat in the past 12 months among adults | 11.3% | 9.9–12.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 21.0% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 18.8% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 9.8% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 31.7% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 9.5% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 87.3% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 26.7% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 45.3% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 1.2% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 4.8% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 44.3% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 16.8% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 34.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $46,304 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $174,800 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | $820 | $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 | 74.3 yr ± 0.42 | 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 0.42 years of 74.3, 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