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ZipVitals

ZIP code

36866

in Notasulga, AlabamaPopulation 3,898

37.13/ 100

Ranked #28,461 of 32,066 US ZIPs (bottom 11.3%)

Ranked #487 of 619 Alabama ZIPs (bottom 21%)

Ranked #13 of 15 Auburn-Opelika, AL ZIPs (bottom 13.4%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Tooth loss

27.7%

in the top 4.6% nationally

Lower is healthier

ST91st
US95th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

High blood pressure

49.9%

in the top 3.5% nationally

Lower is healthier

ST76th
US97th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Diabetes

19.1%

in the top 5.4% nationally

Lower is healthier

ST78th
US95th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Arsenic in groundwater

1.2%

in the bottom 6.1% nationally

Lower is healthier

ST39th
US6th
Definition & 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 ›

Poverty rate

30.8%

in the top 6.4% nationally

Lower is healthier

ST90th
US94th
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Obesity

45%

in the top 4.4% nationally

Lower is healthier

ST81st
US96th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Self-care disability

6.6%

in the top 7.9% nationally

Lower is healthier

ST77th
US92nd
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Independent-living disability

12.7%

in the top 7.9% nationally

Lower is healthier

ST76th
US92nd
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Mobility disability

22.6%

in the top 7.8% nationally

Lower is healthier

ST75th
US92nd
Definition & source ›

The estimated share of adults with serious difficulty walking or climbing stairs.

Full methodology ›

Fair or poor health

29.7%

in the top 8.9% nationally

Lower is healthier

ST77th
US91st
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

The read

On the composite measure, Notasulga, Alabama (ZIP 36866) stands in the bottom 11.3% nationally (28,461st) and the bottom 21% of Alabama (487th).

continue reading

A profile of give and take, with clear readings each way: modeled arsenic lands in the bottom 6.1% nationally. On the other side, modeled tooth loss settles in the top 4.6% nationally, and high blood pressure rests in the top 3.5% nationally. Modeled diabetes lands in the top 5.4% nationally, poverty settles in the top 6.4% nationally, and modeled obesity rests in the top 4.4% nationally. Modeled self-care disability lands in the top 7.9% nationally, independent living disability settles in the top 7.9% nationally, and mobility disability rests in the top 7.8% nationally. Modeled fair or poor health lands in the top 8.9% nationally.

For clarity, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 36078, just across the boundary, ranks better overall among the ZIPs nearby.

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 Auburn-Opelika, AL metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Environmental Hazard

healthier than 86%

14%

About typical

Healthcare Access

healthier than 51%

5%

Holding it back

Chronic Disease Burden

healthier than 7%

21%

Social Need / SDOH

healthier than 7%

16%

Preventive Care

healthier than 35%

13%

Risk Behavior

healthier than 17%

11%

Mental Health

healthier than 26%

8%

Disability

healthier than 9%

7%

Climate / Disaster Risk

healthier than 33%

5%

Lifting this score

Environmental Hazard

healthier than 80%

14%

Climate / Disaster Risk

healthier than 62%

5%

About typical

Healthcare Access

healthier than 54%

5%

Holding it back

Chronic Disease Burden

healthier than 20%

21%

Social Need / SDOH

healthier than 19%

16%

Preventive Care

healthier than 28%

13%

Risk Behavior

healthier than 30%

11%

Mental Health

healthier than 32%

8%

Disability

healthier than 25%

7%

Lifting this score

Environmental Hazard

healthier than 86%

14%

Healthcare Access

healthier than 64%

5%

About typical

Social Need / SDOH

healthier than 43%

16%

Climate / Disaster Risk

healthier than 50%

5%

Holding it back

Chronic Disease Burden

healthier than 14%

21%

Preventive Care

healthier than 21%

13%

Risk Behavior

healthier than 7%

11%

Mental Health

healthier than 29%

8%

Disability

in the bottom 0.00%

7%

“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 85.8; chronic-disease standing 6.6 (bottom 10%) — 79 points apart, cleaner on the environment than it is on chronic illness.

    Ranked #533 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults35.4%32.3–38.3
High blood pressure among adults49.9%46.2–53.4
Cancer (non-skin) or melanoma among adults8.4%7.8–9.1
Current asthma among adults11.0%9.8–12.1
Coronary heart disease among adults9.3%8.5–10.1
Chronic obstructive pulmonary disease among adults11.1%9.9–12.2
Depression among adults24.3%21.2–27.2
Diagnosed diabetes among adults19.1%17.1–21.1
High cholesterol among adults who have ever been screened43.4%39.7–47.0
Obesity among adults45.0%37.8–51.6
Stroke among adults5.5%5.1–5.9
All teeth lost among adults aged >=65 years27.7%23.8–31.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years11.6%9.9–13.4
Taking medicine to control high blood pressure among adults with high blood pressure80.5%78.3–82.5
Visits to doctor for routine checkup within the past year among adults81.6%78.7–83.9
Cholesterol screening among adults85.4%83.7–87.1
Colorectal cancer screening among adults aged 45–75 years63.1%58.6–67.2
Visited dentist or dental clinic in the past year among adults49.3%45.8–52.7
Mammography use among women aged 50-74 years74.1%67.4–79.8
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.4%10.5–14.4
Current cigarette smoking among adults19.9%17.3–22.4
No leisure-time physical activity among adults35.1%30.6–39.4
Short sleep duration among adults40.7%35.2–46.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.7%26.6–32.5
Frequent mental distress among adults18.8%16.8–20.6
Frequent physical distress among adults17.4%15.6–19.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults18.8%16.8–20.6
Any disability among adults42.7%38.5–46.7
Hearing disability among adults9.6%8.6–10.5
Independent living disability among adults12.7%11.4–13.9
Mobility disability among adults22.6%20.3–24.7
Self-care disability among adults6.6%6.1–7.2
Vision disability among adults8.3%7.6–9.1
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults27.1%23.9–30.3
Food insecurity in the past 12 months among adults26.6%23.7–29.7
Received food stamps in the past 12 months among adults22.4%19.7–25.2
Housing insecurity in the past 12 months among adults18.1%16.0–20.3
Lack of reliable transportation in the past 12 months among adults13.0%11.6–14.5
Loneliness among adults36.4%32.1–40.8
Utility services shut-off threat in the past 12 months among adults13.4%11.9–14.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)AL median (p10–p90)
Poverty rate30.8%10.6% (3.1–25.8%) n=32,36415.4% (5.1–31.1%) n=623
Uninsured 18–6413.3%9.0% (1.5–24.3%) n=32,28613.7% (5.2–25.2%) n=625
No HS diploma (25+)20.2%7.9% (1.8–20.7%) n=32,50513.2% (3.6–23.0%) n=626
Bachelor's or higher (25+)11.6%23.3% (9.2–53.6%) n=32,50516.9% (6.9–38.8%) n=626
Unemployment rate (16+)8.4%3.9% (0.0–9.8%) n=32,2744.2% (0.0–11.0%) n=622
Households without a vehicle6.8%3.9% (0.0–12.5%) n=32,3224.0% (0.0–12.1%) n=622
Broadband subscription81.9%89.3% (75.1–97.1%) n=32,32284.9% (68.8–94.9%) n=622
Housing cost burden (≥30% income)21.3%23.7% (10.6–40.0%) n=32,32221.3% (10.1–35.0%) n=622
Homeownership rate73.9%78.7% (51.7–94.0%) n=32,32278.3% (54.7–92.5%) n=622
Crowded housing (>1 per room)2.3%1.3% (0.0–6.3%) n=32,3221.3% (0.0–4.2%) n=622
Foreign-born population0.5%2.6% (0.0–18.6%) n=32,5531.3% (0.0–6.2%) n=628
Single-parent households44.4%53.6% (37.3–74.1%) n=32,08750.9% (35.0–68.6%) n=617
Population 65+17.5%19.4% (10.8–33.6%) n=32,55319.0% (11.9–29.2%) n=628
Median age41.9 yr42.2 yr (33.0–56.3) n=32,29241.3 yr (33.4–52.9) n=621
Median household income$49,028$72,070 ($46,039–$118,707) n=30,318$55,896 ($37,738–$88,230) n=587
Median home value$112,900$222,200 ($100,300–$579,820) n=30,049$160,950 ($87,300–$292,680) n=568
Median gross rent$727$1,021 ($677–$1,912) n=25,670$856 ($625–$1,266) n=503
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)AL median (p10–p90)
Life expectancy at birth74.7 yr ± 0.9578.9 yr (74.7–82.8) n=31,30874.7 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 0.95 years of 74.7, and it’s very unlikely to be off by more than twice that.

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