ZIP code
35013
in Allgood, AlabamaPopulation 141
41.85/ 100
Ranked #25,343 of 32,066 US ZIPs (bottom 21%)
Ranked #336 of 619 Alabama ZIPs (bottom 46%)
Ranked #84 of 116 Birmingham, AL ZIPs (bottom 28%)
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.
Uninsured (under 65)
31.2%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Colon-cancer screening
46.9%
in the bottom 1.1% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Unemployment rate
76.2%
in the top 0.09% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Natural-disaster risk
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Walkability
280 intersections/sq mi
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Expected annual disaster loss
$0
in the bottom 1.2% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Tooth loss
29.5%
in the top 3.5% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Homeownership rate
24%
in the bottom 2.4% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
Allgood, Alabama (ZIP 35013), overall, ranks in the bottom 21% nationally (25,343rd) and the bottom 46% of Alabama (336th).
Several serious readings shape the profile and deserve first mention: modeled uninsured settles in the top 0.9% nationally, modeled colon screening is in the bottom 1.1% nationally, and unemployment sits in the top 0.09% nationally. Modeled tooth loss lands in the top 3.5% nationally. On the better side, walkability lies in the top 0.9% nationally, and modeled expected annual loss stands in the bottom 1.2% nationally. Housing-cost burden rests at the national minimum, and modeled transportation noise registers at the national minimum. Home broadband subscription resides at the national maximum, and floodplain exposure settles at the national minimum.
Measured against the nearby ZIPs, unemployment runs far higher than the surrounding ZIPs on this measure. Defined simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". ZIP 35121, just across the boundary, comes out 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 Birmingham, AL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Environmental Hazard
healthier than 70%
14%
Mental Health
healthier than 74%
8%
About typical
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 9%
11%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
healthier than 89%
21%
Mental Health
healthier than 94%
8%
Climate / Disaster Risk
in the top 1.0%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Disability
healthier than 44%
7%
Holding it back
Social Need / SDOH
healthier than 24%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
healthier than 13%
11%
Healthcare Access
healthier than 22%
5%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Environmental Hazard
healthier than 87%
14%
Mental Health
healthier than 93%
8%
Climate / Disaster Risk
in the top 0.00%
5%
Holding it back
Social Need / SDOH
healthier than 19%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
healthier than 12%
11%
Disability
healthier than 27%
7%
Healthcare Access
healthier than 18%
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
35121
Alabamashares a border
Score 45.47
Closest healthier
35049
Alabamaabout 2.1 mi away
Score 45.63
Similar health profile
34956
Florida96% similar profile
Score 42.44
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 | 22.0% | 19.2–25.3 |
| High blood pressure among adults | 37.7% | 33.5–42.4 |
| Cancer (non-skin) or melanoma among adults | 4.6% | 4.1–5.2 |
| Current asthma among adults | 7.9% | 6.9–9.1 |
| Coronary heart disease among adults | 6.6% | 5.7–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 5.1–7.5 |
| Depression among adults | 19.5% | 16.3–23.0 |
| Diagnosed diabetes among adults | 16.2% | 14.1–18.7 |
| High cholesterol among adults who have ever been screened | 37.7% | 33.3–42.4 |
| Obesity among adults | 43.6% | 35.6–52.4 |
| Stroke among adults | 3.4% | 2.9–3.9 |
| All teeth lost among adults aged >=65 years | 29.5% | 25.0–34.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 31.2% | 24.3–38.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.4% | 66.7–74.1 |
| Visits to doctor for routine checkup within the past year among adults | 74.7% | 70.3–78.5 |
| Cholesterol screening among adults | 80.3% | 76.3–83.8 |
| Colorectal cancer screening among adults aged 45–75 years | 46.9% | 41.3–52.6 |
| Visited dentist or dental clinic in the past year among adults | 42.4% | 38.4–46.4 |
| Mammography use among women aged 50-74 years | 66.3% | 57.3–74.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.2–18.2 |
| Current cigarette smoking among adults | 16.7% | 13.2–20.6 |
| No leisure-time physical activity among adults | 38.6% | 31.9–46.0 |
| Short sleep duration among adults | 41.6% | 34.6–49.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.9% | 26.6–38.2 |
| Frequent mental distress among adults | 16.6% | 14.3–19.1 |
| Frequent physical distress among adults | 16.2% | 13.8–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.3% | 16.0–23.0 |
| Any disability among adults | 40.0% | 33.9–46.8 |
| Hearing disability among adults | 8.6% | 7.5–9.8 |
| Independent living disability among adults | 10.1% | 8.4–12.2 |
| Mobility disability among adults | 17.0% | 14.2–20.4 |
| Self-care disability among adults | 5.8% | 4.8–6.9 |
| Vision disability among adults | 9.5% | 8.0–11.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.6% | 22.7–32.8 |
| Food insecurity in the past 12 months among adults | 34.1% | 27.6–41.2 |
| Received food stamps in the past 12 months among adults | 22.0% | 17.1–27.9 |
| Housing insecurity in the past 12 months among adults | 25.9% | 21.3–30.9 |
| Lack of reliable transportation in the past 12 months among adults | 15.5% | 12.7–18.8 |
| Loneliness among adults | 35.0% | 29.3–41.3 |
| Utility services shut-off threat in the past 12 months among adults | 15.5% | 12.8–18.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.8% | 10.6% (3.1–25.8%) n=32,364 | 15.4% (5.1–31.1%) n=623 |
| Uninsured 18–64 | 78.9% | 9.0% (1.5–24.3%) n=32,286 | 13.7% (5.2–25.2%) n=625 |
| No HS diploma (25+) | 83.1% | 7.9% (1.8–20.7%) n=32,505 | 13.2% (3.6–23.0%) n=626 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 16.9% (6.9–38.8%) n=626 |
| Unemployment rate (16+) | 76.2% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.0–11.0%) n=622 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.0% (0.0–12.1%) n=622 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 84.9% (68.8–94.9%) n=622 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 21.3% (10.1–35.0%) n=622 |
| Homeownership rate | 24.0% | 78.7% (51.7–94.0%) n=32,322 | 78.3% (54.7–92.5%) n=622 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–4.2%) n=622 |
| Foreign-born population | 80.9% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–6.2%) n=628 |
| Single-parent households | 40.0% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (35.0–68.6%) n=617 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 19.0% (11.9–29.2%) n=628 |
| Median age | 30.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.3 yr (33.4–52.9) n=621 |
| Median household income | $122,917 | $72,070 ($46,039–$118,707) n=30,318 | $55,896 ($37,738–$88,230) n=587 |
| Median home value | $11,700 | $222,200 ($100,300–$579,820) n=30,049 | $160,950 ($87,300–$292,680) n=568 |
| Median gross rent | — | $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 | 77.5 yr ± 1.74 | 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 1.74 years of 77.5, 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