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ZipVitals

ZIP code

46409

in Gary, IndianaPopulation 7,184

29.11/ 100

Ranked #30,926 of 32,066 US ZIPs (bottom 3.6%)

Ranked #748 of 757 Indiana ZIPs (bottom 1.2%)

Ranked #369 of 374 Chicago-Naperville-Elgin, IL-IN ZIPs (bottom 1.4%)

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.

Short sleep

53.3%

in the top 0.03% 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

39.2%

in the top 0.6% 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 ›

Diabetes

23.2%

in the top 1.1% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Self-care disability

8.6%

in the top 1.9% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Energy-cost burden

6.9%

in the top 1.3% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Obesity

51.4%

in the top 0.4% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Vision disability

11.1%

in the top 3.1% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

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

Full methodology ›

Utility shut-off threat

25%

in the top 0.8% 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 ›

Fair or poor health

35.4%

in the top 2.5% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

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

Full methodology ›

Stroke

6.5%

in the top 2.3% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

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

Full methodology ›

The read

ZIP 46409, one of several in Gary, Indiana, overall, ranks in the bottom 3.6% nationally (30,926th) and the bottom 1.2% of Indiana (748th).

continue reading

Several serious readings shape the profile and deserve first mention: modeled short sleep registers in the top 0.03% nationally, tooth loss resides in the top 0.6% nationally, and diabetes settles in the top 1.1% nationally. Modeled self-care disability is in the top 1.9% nationally, energy burden sits in the top 1.3% nationally, and obesity lands in the top 0.4% nationally. Modeled vision disability lies in the top 3.1% nationally, and utility shutoff stands in the top 0.8% nationally. Modeled fair or poor health rests in the top 2.5% nationally, and stroke registers in the top 2.3% nationally.

Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, energy burden is the share of household income that goes to home energy bills. ZIP 46342, 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 Chicago-Naperville-Elgin, IL-IN 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 84%

5%

About typical

Environmental Hazard

healthier than 52%

14%

Mental Health

healthier than 42%

8%

Holding it back

Chronic Disease Burden

healthier than 3%

21%

Social Need / SDOH

in the bottom 0.2%

16%

Preventive Care

healthier than 35%

13%

Risk Behavior

in the bottom 1.0%

11%

Disability

healthier than 4%

7%

Climate / Disaster Risk

healthier than 30%

5%

Lifting this score

Environmental Hazard

healthier than 73%

14%

Mental Health

healthier than 82%

8%

Healthcare Access

healthier than 82%

5%

Holding it back

Chronic Disease Burden

healthier than 1%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Preventive Care

healthier than 17%

13%

Risk Behavior

in the bottom 0.7%

11%

Disability

healthier than 1%

7%

Climate / Disaster Risk

healthier than 12%

5%

Lifting this score

Environmental Hazard

healthier than 91%

14%

Healthcare Access

healthier than 64%

5%

Holding it back

Chronic Disease Burden

healthier than 1%

21%

Social Need / SDOH

in the bottom 0.3%

16%

Preventive Care

healthier than 37%

13%

Risk Behavior

healthier than 1%

11%

Mental Health

healthier than 8%

8%

Disability

healthier than 2%

7%

Climate / Disaster Risk

healthier than 6%

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

2 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 70.9 ± 1.9 years. A median household income of $44,667 predicts 76.9 years — 6.0 years below.

    Ranked #5,734 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 70.9 ± 1.9 years. The 49 nearest ZIP codes with estimates average 76.0 years — 5.1 years below them.

    Ranked #3,402 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, 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 adults31.5%29.1–33.8
High blood pressure among adults50.4%47.6–53.1
Cancer (non-skin) or melanoma among adults5.3%4.8–5.8
Current asthma among adults14.2%12.7–15.7
Coronary heart disease among adults8.7%7.9–9.6
Chronic obstructive pulmonary disease among adults11.7%10.5–12.9
Depression among adults19.1%16.8–21.4
Diagnosed diabetes among adults23.2%21.1–25.3
High cholesterol among adults who have ever been screened34.9%32.1–37.6
Obesity among adults51.4%47.3–55.4
Stroke among adults6.5%6.0–7.0
All teeth lost among adults aged >=65 years39.2%35.3–43.2
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.8%10.9–15.0
Taking medicine to control high blood pressure among adults with high blood pressure80.5%78.5–82.5
Visits to doctor for routine checkup within the past year among adults82.6%80.2–84.8
Cholesterol screening among adults84.9%83.0–86.7
Colorectal cancer screening among adults aged 45–75 years62.8%59.3–66.2
Visited dentist or dental clinic in the past year among adults41.4%38.6–44.1
Mammography use among women aged 50-74 years78.5%73.8–82.6
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.4%10.6–14.3
Current cigarette smoking among adults24.6%21.9–27.4
No leisure-time physical activity among adults39.1%35.6–42.9
Short sleep duration among adults53.3%49.9–56.6
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults35.4%32.5–38.5
Frequent mental distress among adults20.6%18.7–22.6
Frequent physical distress among adults18.6%16.8–20.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults19.8%17.8–21.9
Any disability among adults40.4%37.0–43.9
Hearing disability among adults6.6%5.9–7.3
Independent living disability among adults14.1%12.7–15.6
Mobility disability among adults24.4%22.2–26.7
Self-care disability among adults8.6%7.8–9.5
Vision disability among adults11.1%10.2–12.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults34.4%31.1–38.0
Food insecurity in the past 12 months among adults40.7%36.9–44.5
Received food stamps in the past 12 months among adults33.3%29.7–37.0
Housing insecurity in the past 12 months among adults28.2%25.1–31.3
Lack of reliable transportation in the past 12 months among adults19.0%17.0–21.2
Loneliness among adults36.9%33.3–40.4
Utility services shut-off threat in the past 12 months among adults25.0%22.4–27.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)IN median (p10–p90)
Poverty rate30.0%10.6% (3.1–25.8%) n=32,3649.8% (3.3–23.6%) n=764
Uninsured 18–6410.5%9.0% (1.5–24.3%) n=32,2868.3% (2.5–19.0%) n=761
No HS diploma (25+)15.8%7.9% (1.8–20.7%) n=32,5058.8% (3.0–19.3%) n=766
Bachelor's or higher (25+)11.4%23.3% (9.2–53.6%) n=32,50519.4% (8.1–38.5%) n=766
Unemployment rate (16+)12.4%3.9% (0.0–9.8%) n=32,2743.4% (0.0–8.2%) n=760
Households without a vehicle11.7%3.9% (0.0–12.5%) n=32,3223.6% (0.0–11.5%) n=764
Broadband subscription84.4%89.3% (75.1–97.1%) n=32,32288.8% (76.7–95.9%) n=764
Housing cost burden (≥30% income)39.8%23.7% (10.6–40.0%) n=32,32220.0% (9.8–33.1%) n=764
Homeownership rate44.5%78.7% (51.7–94.0%) n=32,32281.7% (58.9–94.5%) n=764
Crowded housing (>1 per room)4.6%1.3% (0.0–6.3%) n=32,3221.1% (0.0–4.2%) n=764
Foreign-born population2.5%2.6% (0.0–18.6%) n=32,5531.3% (0.0–8.8%) n=767
Single-parent households35.0%53.6% (37.3–74.1%) n=32,08753.2% (40.5–69.1%) n=756
Population 65+13.5%19.4% (10.8–33.6%) n=32,55318.2% (11.0–26.5%) n=767
Median age34.7 yr42.2 yr (33.0–56.3) n=32,29240.5 yr (32.5–49.6) n=756
Median household income$44,667$72,070 ($46,039–$118,707) n=30,318$71,016 ($50,417–$99,531) n=721
Median home value$78,800$222,200 ($100,300–$579,820) n=30,049$178,250 ($109,430–$287,310) n=724
Median gross rent$1,195$1,021 ($677–$1,912) n=25,670$925 ($704–$1,261) n=640
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)IN median (p10–p90)
Life expectancy at birth70.9 yr ± 0.9578.9 yr (74.7–82.8) n=31,30878.5 yr (75.1–81.5) n=754

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 70.9, 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