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ZipVitals

ZIP code

30901

in Augusta, GeorgiaPopulation 16,484

23.25/ 100

Ranked #31,637 of 32,066 US ZIPs (bottom 1.4%)

Ranked #708 of 711 Georgia ZIPs (bottom 0.5%)

Ranked #43 of 43 Augusta-Richmond County, GA-SC ZIPs (bottom 2.4%)

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.

Self-care disability

10.6%

in the top 0.4% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Vision disability

13.7%

in the top 0.9% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Diabetes

25.1%

in the top 0.4% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Independent-living disability

17.7%

in the top 0.7% nationally

Lower is healthier

ST99th
US99th
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 ›

Stroke

7.5%

in the top 0.6% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

Tooth loss

34.9%

in the top 1.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Fair or poor health

38.6%

in the top 1.0% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Mobility disability

27.9%

in the top 1.2% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Short sleep

47%

in the top 1.4% nationally

Lower is healthier

ST97th
US99th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Housing insecurity

32.1%

in the top 1.0% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Cross-source signals

Combined exposures in this ZIP

More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.

The read

Judged by its overall standing, ZIP 30901, one of several in Augusta, Georgia sits in the bottom 1.4% nationally (31,637th) and the bottom 0.5% of Georgia (708th).

continue reading

A demanding profile, and several measures drive it: modeled self-care disability settles in the top 0.4% nationally, vision disability lands in the top 0.9% nationally, and diabetes rests in the top 0.4% nationally. Modeled independent living disability settles in the top 0.7% nationally, stroke lands in the top 0.6% nationally, and tooth loss rests in the top 1.3% nationally. Modeled fair or poor health settles in the top 1.0% nationally, and mobility disability lands in the top 1.2% nationally. Modeled short sleep rests in the top 1.4% nationally, and housing insecurity settles in the top 1.0% nationally.

Placed beside its immediate neighbors, slow internet speeds runs far higher than the surrounding ZIPs on this measure. A healthier nearby ZIP overall is ZIP 29831, just across the boundary.

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 Augusta-Richmond County, GA-SC metro area.

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

Compare within

Lifting this score

Healthcare Access

healthier than 86%

5%

Holding it back

Chronic Disease Burden

healthier than 2%

21%

Social Need / SDOH

healthier than 2%

16%

Environmental Hazard

healthier than 7%

14%

Preventive Care

healthier than 14%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 22%

8%

Disability

healthier than 1%

7%

Climate / Disaster Risk

healthier than 4%

5%

Lifting this score

Healthcare Access

healthier than 87%

5%

Holding it back

Chronic Disease Burden

healthier than 3%

21%

Social Need / SDOH

healthier than 2%

16%

Environmental Hazard

healthier than 2%

14%

Preventive Care

healthier than 15%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 7%

8%

Disability

healthier than 1%

7%

Climate / Disaster Risk

healthier than 4%

5%

Lifting this score

Healthcare Access

healthier than 83%

5%

Holding it back

Chronic Disease Burden

healthier than 2%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Environmental Hazard

in the bottom 0.00%

14%

Preventive Care

healthier than 2%

13%

Risk Behavior

in the bottom 0.00%

11%

Mental Health

healthier than 5%

8%

Disability

in the bottom 0.00%

7%

Climate / Disaster Risk

in the bottom 0.00%

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

3 of our published findings list 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 69.2 ± 1.8 years. A median household income of $25,163 predicts 74.6 years — 5.4 years below.

    Ranked #5,645 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 69.2 ± 1.8 years. The 43 nearest ZIP codes with estimates average 75.6 years — 6.4 years below them.

    Ranked #3,587 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

  • Highest-risk tenth

    Air toxics and the years between the two ends of the risk scale

    Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 69.2 ± 1.8 years.

    Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, 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 adults31.7%28.7–34.8
High blood pressure among adults52.2%48.5–55.9
Cancer (non-skin) or melanoma among adults5.9%5.3–6.5
Current asthma among adults13.0%11.5–14.6
Coronary heart disease among adults10.2%9.2–11.1
Chronic obstructive pulmonary disease among adults12.5%11.3–13.8
Depression among adults20.6%17.7–23.9
Diagnosed diabetes among adults25.1%22.6–27.5
High cholesterol among adults who have ever been screened41.4%37.7–45.3
Obesity among adults43.5%37.4–49.6
Stroke among adults7.5%7.0–8.1
All teeth lost among adults aged >=65 years34.9%30.4–39.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years20.1%17.7–22.8
Taking medicine to control high blood pressure among adults with high blood pressure81.4%79.2–83.4
Visits to doctor for routine checkup within the past year among adults81.6%78.6–84.3
Cholesterol screening among adults82.9%80.8–84.8
Colorectal cancer screening among adults aged 45–75 years61.0%56.2–65.5
Visited dentist or dental clinic in the past year among adults39.6%36.2–43.1
Mammography use among women aged 50-74 years72.9%65.8–79.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults10.0%8.2–12.0
Current cigarette smoking among adults23.8%21.0–26.6
No leisure-time physical activity among adults42.9%38.4–47.5
Short sleep duration among adults47.0%41.7–52.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults38.6%35.1–42.0
Frequent mental distress among adults22.1%19.9–24.5
Frequent physical distress among adults20.1%18.0–22.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults22.2%20.0–24.6
Any disability among adults46.2%42.0–50.5
Hearing disability among adults8.0%7.1–8.9
Independent living disability among adults17.7%16.1–19.5
Mobility disability among adults27.9%25.3–30.5
Self-care disability among adults10.6%9.8–11.5
Vision disability among adults13.7%12.6–14.9
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults32.6%28.4–36.8
Food insecurity in the past 12 months among adults43.7%39.5–47.6
Received food stamps in the past 12 months among adults44.5%40.6–48.1
Housing insecurity in the past 12 months among adults32.1%28.5–35.4
Lack of reliable transportation in the past 12 months among adults22.2%19.8–24.5
Loneliness among adults41.0%36.0–46.1
Utility services shut-off threat in the past 12 months among adults24.5%21.7–27.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)GA median (p10–p90)
Poverty rate42.8%10.6% (3.1–25.8%) n=32,36413.8% (5.6–27.5%) n=709
Uninsured 18–6423.0%9.0% (1.5–24.3%) n=32,28618.3% (8.4–29.7%) n=713
No HS diploma (25+)22.1%7.9% (1.8–20.7%) n=32,50512.1% (3.9–22.9%) n=720
Bachelor's or higher (25+)14.9%23.3% (9.2–53.6%) n=32,50521.3% (9.1–49.2%) n=720
Unemployment rate (16+)17.6%3.9% (0.0–9.8%) n=32,2744.1% (0.6–9.6%) n=714
Households without a vehicle34.4%3.9% (0.0–12.5%) n=32,3224.4% (0.3–12.3%) n=707
Broadband subscription75.4%89.3% (75.1–97.1%) n=32,32287.3% (72.5–96.4%) n=707
Housing cost burden (≥30% income)53.5%23.7% (10.6–40.0%) n=32,32225.1% (13.6–38.3%) n=707
Homeownership rate23.9%78.7% (51.7–94.0%) n=32,32273.7% (48.8–89.0%) n=707
Crowded housing (>1 per room)3.5%1.3% (0.0–6.3%) n=32,3221.7% (0.0–5.0%) n=707
Foreign-born population2.1%2.6% (0.0–18.6%) n=32,5533.8% (0.0–15.8%) n=720
Single-parent households21.6%53.6% (37.3–74.1%) n=32,08748.8% (36.1–66.7%) n=705
Population 65+19.0%19.4% (10.8–33.6%) n=32,55317.0% (10.0–28.3%) n=720
Median age35.1 yr42.2 yr (33.0–56.3) n=32,29239.8 yr (33.1–51.4) n=715
Median household income$25,163$72,070 ($46,039–$118,707) n=30,318$65,254 ($44,032–$106,158) n=677
Median home value$104,000$222,200 ($100,300–$579,820) n=30,049$215,200 ($91,000–$413,150) n=666
Median gross rent$900$1,021 ($677–$1,912) n=25,670$993 ($694–$1,769) n=627
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)GA median (p10–p90)
Life expectancy at birth69.2 yr ± 0.9178.9 yr (74.7–82.8) n=31,30876.1 yr (73.3–79.7) n=668

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 0.91 years of 69.2, 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