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ZipVitals

ZIP code

31903

in Columbus, GeorgiaPopulation 20,644

21.65/ 100

Ranked #31,764 of 32,066 US ZIPs (bottom 1.0%)

Ranked #710 of 711 Georgia ZIPs (bottom 0.2%)

Ranked #36 of 36 Columbus, GA-AL ZIPs (bottom 2.8%)

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

11.3%

in the top 0.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Vision disability

14.8%

in the top 0.5% 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 ›

Independent-living disability

18.7%

in the top 0.4% 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 ›

Short sleep

51.4%

in the top 0.2% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Tooth loss

36.8%

in the top 0.9% 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

40.9%

in the top 0.5% 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 ›

Diabetes

24%

in the top 0.7% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Stroke

7.2%

in the top 1.0% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

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

Full methodology ›

Utility shut-off threat

28.1%

in the top 0.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Housing insecurity

35.6%

in the top 0.3% 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 31903, one of several in Columbus, Georgia sits in the bottom 1.0% nationally (31,764th) and the bottom 0.2% of Georgia (710th).

continue reading

A demanding profile, and several measures drive it: modeled self-care disability lands in the top 0.3% nationally, vision disability rests in the top 0.5% nationally, and independent living disability settles in the top 0.4% nationally. Modeled short sleep lands in the top 0.2% nationally, tooth loss rests in the top 0.9% nationally, and fair or poor health settles in the top 0.5% nationally. Modeled diabetes lands in the top 0.7% nationally, and stroke rests in the top 1.0% nationally. Modeled utility shutoff settles in the top 0.3% nationally, and housing insecurity lands in the top 0.3% nationally.

Placed beside its immediate neighbors, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. A healthier nearby ZIP overall is ZIP 31901, 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 Columbus, GA-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

Healthcare Access

healthier than 70%

5%

Holding it back

Chronic Disease Burden

healthier than 3%

21%

Social Need / SDOH

in the bottom 0.9%

16%

Environmental Hazard

healthier than 27%

14%

Preventive Care

healthier than 8%

13%

Risk Behavior

in the bottom 0.6%

11%

Mental Health

healthier than 14%

8%

Disability

healthier than 1%

7%

Climate / Disaster Risk

healthier than 12%

5%

Lifting this score

Healthcare Access

healthier than 66%

5%

Holding it back

Chronic Disease Burden

healthier than 3%

21%

Social Need / SDOH

healthier than 1%

16%

Environmental Hazard

healthier than 20%

14%

Preventive Care

healthier than 7%

13%

Risk Behavior

in the bottom 0.2%

11%

Mental Health

healthier than 2%

8%

Disability

healthier than 1%

7%

Climate / Disaster Risk

healthier than 8%

5%

Lifting this score

Healthcare Access

healthier than 71%

5%

Holding it back

Chronic Disease Burden

healthier than 6%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Environmental Hazard

healthier than 9%

14%

Preventive Care

healthier than 6%

13%

Risk Behavior

in the bottom 0.00%

11%

Mental Health

in the bottom 0.00%

8%

Disability

healthier than 3%

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 71.2 ± 1.8 years. A median household income of $32,401 predicts 75.6 years — 4.4 years below.

    Ranked #5,286 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 71.2 ± 1.8 years. The 48 nearest ZIP codes with estimates average 76.6 years — 5.4 years below them.

    Ranked #3,456 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 39.8 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 71.2 ± 1.8 years.

    Ranked #1,449 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 adults31.4%28.9–35.0
High blood pressure among adults51.5%48.3–55.8
Cancer (non-skin) or melanoma among adults5.1%4.6–5.7
Current asthma among adults13.1%11.8–15.0
Coronary heart disease among adults9.4%8.6–10.5
Chronic obstructive pulmonary disease among adults12.9%11.8–14.3
Depression among adults20.7%18.2–24.4
Diagnosed diabetes among adults24.0%22.0–26.9
High cholesterol among adults who have ever been screened38.0%34.9–42.3
Obesity among adults51.4%46.3–58.2
Stroke among adults7.2%6.7–7.8
All teeth lost among adults aged >=65 years36.8%32.3–41.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years23.9%21.3–27.2
Taking medicine to control high blood pressure among adults with high blood pressure80.7%78.7–83.3
Visits to doctor for routine checkup within the past year among adults80.1%77.4–83.5
Cholesterol screening among adults81.8%79.9–84.1
Colorectal cancer screening among adults aged 45–75 years57.5%52.7–62.3
Visited dentist or dental clinic in the past year among adults37.7%34.5–41.0
Mammography use among women aged 50-74 years73.2%66.1–79.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults10.4%8.8–13.0
Current cigarette smoking among adults26.2%23.6–29.7
No leisure-time physical activity among adults46.2%42.2–51.6
Short sleep duration among adults51.4%46.4–56.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults40.9%37.8–44.7
Frequent mental distress among adults23.7%21.6–26.6
Frequent physical distress among adults21.0%19.2–23.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults23.7%21.6–26.4
Any disability among adults46.3%42.6–51.1
Hearing disability among adults7.7%7.0–8.8
Independent living disability among adults18.7%17.1–20.7
Mobility disability among adults27.3%25.0–30.4
Self-care disability among adults11.3%10.4–12.3
Vision disability among adults14.8%13.7–16.1
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults33.3%29.5–37.5
Food insecurity in the past 12 months among adults47.8%44.1–51.8
Received food stamps in the past 12 months among adults49.9%46.4–53.6
Housing insecurity in the past 12 months among adults35.6%32.3–39.1
Lack of reliable transportation in the past 12 months among adults25.0%22.7–27.5
Loneliness among adults42.7%38.0–47.5
Utility services shut-off threat in the past 12 months among adults28.1%25.5–31.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)GA median (p10–p90)
Poverty rate35.4%10.6% (3.1–25.8%) n=32,36413.8% (5.6–27.5%) n=709
Uninsured 18–6429.3%9.0% (1.5–24.3%) n=32,28618.3% (8.4–29.7%) n=713
No HS diploma (25+)22.0%7.9% (1.8–20.7%) n=32,50512.1% (3.9–22.9%) n=720
Bachelor's or higher (25+)9.8%23.3% (9.2–53.6%) n=32,50521.3% (9.1–49.2%) n=720
Unemployment rate (16+)10.0%3.9% (0.0–9.8%) n=32,2744.1% (0.6–9.6%) n=714
Households without a vehicle25.5%3.9% (0.0–12.5%) n=32,3224.4% (0.3–12.3%) n=707
Broadband subscription79.9%89.3% (75.1–97.1%) n=32,32287.3% (72.5–96.4%) n=707
Housing cost burden (≥30% income)45.1%23.7% (10.6–40.0%) n=32,32225.1% (13.6–38.3%) n=707
Homeownership rate28.1%78.7% (51.7–94.0%) n=32,32273.7% (48.8–89.0%) n=707
Crowded housing (>1 per room)3.2%1.3% (0.0–6.3%) n=32,3221.7% (0.0–5.0%) n=707
Foreign-born population5.2%2.6% (0.0–18.6%) n=32,5533.8% (0.0–15.8%) n=720
Single-parent households19.7%53.6% (37.3–74.1%) n=32,08748.8% (36.1–66.7%) n=705
Population 65+12.2%19.4% (10.8–33.6%) n=32,55317.0% (10.0–28.3%) n=720
Median age32.9 yr42.2 yr (33.0–56.3) n=32,29239.8 yr (33.1–51.4) n=715
Median household income$32,401$72,070 ($46,039–$118,707) n=30,318$65,254 ($44,032–$106,158) n=677
Median home value$81,000$222,200 ($100,300–$579,820) n=30,049$215,200 ($91,000–$413,150) n=666
Median gross rent$880$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 birth71.2 yr ± 0.9078.9 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 0.90 years of 71.2, 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