ZIP code
46044
in Frankton, IndianaPopulation 2,628
49.72/ 100
Ranked #16,625 of 32,066 US ZIPs (bottom 48%)
Ranked #280 of 757 Indiana ZIPs (top 37%)
Ranked #76 of 115 Indianapolis-Carmel-Greenwood, IN ZIPs (bottom 34%)
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.
Arsenic in groundwater
38.8%
in the top 1.8% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›Grocery access
0.34 per 1,000 residents
in the top 3.0% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Lead in tap water
9.9 ppb
in the top 3.5% nationally
Lower is healthier
US97thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Pharmacy access
0.34 per 1,000 residents
in the top 10.9% nationally
Higher is healthier
ST94thUS89thDefinition & source ›
The number of pharmacies located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›The read
Frankton, Indiana (ZIP 46044), on the composite measure, lands in the bottom 48% nationally (16,625th) and the top 37% of Indiana (280th).
The profile cuts both ways, and the readings bear that out: grocery stands in the top 3.0% nationally, pharmacy is in the top 10.9% nationally, and modeled disaster risk rests in the bottom 12.2% nationally. Housing-cost burden sits in the bottom 14.4% nationally, households without a vehicle registers in the bottom 18% nationally, and homeownership lands in the top 20% nationally. Childcare resides in the top 21% nationally. Working the other way, modeled arsenic lies in the top 1.8% nationally, and lead in tap water settles in the top 3.5% nationally. Modeled radon stands in the top 15% nationally.
In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. A healthier neighbor overall sits at ZIP 46060, less than a tenth of a mile away.
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 Indianapolis-Carmel-Greenwood, IN metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 66%
16%
Preventive Care
healthier than 63%
13%
About typical
Chronic Disease Burden
healthier than 41%
21%
Risk Behavior
healthier than 42%
11%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 57%
5%
Healthcare Access
healthier than 54%
5%
Holding it back
Environmental Hazard
healthier than 38%
14%
Mental Health
healthier than 18%
8%
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Social Need / SDOH
healthier than 72%
16%
Disability
healthier than 64%
7%
About typical
Environmental Hazard
healthier than 51%
14%
Preventive Care
healthier than 59%
13%
Risk Behavior
healthier than 55%
11%
Climate / Disaster Risk
healthier than 43%
5%
Healthcare Access
healthier than 56%
5%
Holding it back
Mental Health
healthier than 27%
8%
Lifting this score
Environmental Hazard
healthier than 76%
14%
About typical
Social Need / SDOH
healthier than 44%
16%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Preventive Care
healthier than 38%
13%
Risk Behavior
healthier than 28%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 36%
7%
Healthcare Access
healthier than 28%
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
46001
Indianashares a border
Score 48.48
Closest healthier
46060
Indianaless than 0.1 mi away
Score 60.54
Similar health profile
16028
Pennsylvania99% similar profile
Score 51.21
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 | 32.4% | 29.2–35.7 |
| High blood pressure among adults | 39.5% | 35.6–43.4 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.5–10.4 |
| Current asthma among adults | 11.4% | 10.1–12.9 |
| Coronary heart disease among adults | 7.1% | 6.4–8.0 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.7–9.9 |
| Depression among adults | 27.3% | 23.8–31.1 |
| Diagnosed diabetes among adults | 13.0% | 11.3–14.8 |
| High cholesterol among adults who have ever been screened | 40.5% | 36.6–44.7 |
| Obesity among adults | 34.7% | 29.0–40.7 |
| Stroke among adults | 3.6% | 3.2–3.9 |
| All teeth lost among adults aged >=65 years | 13.3% | 11.0–16.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.6% | 6.3–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.9% | 76.0–81.4 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 76.8–83.1 |
| Cholesterol screening among adults | 86.6% | 84.8–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 69.8% | 65.8–73.8 |
| Visited dentist or dental clinic in the past year among adults | 62.4% | 59.2–65.7 |
| Mammography use among women aged 50-74 years | 73.4% | 66.1–79.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 12.7–18.2 |
| Current cigarette smoking among adults | 18.0% | 15.3–20.6 |
| No leisure-time physical activity among adults | 27.2% | 23.3–31.3 |
| Short sleep duration among adults | 35.8% | 30.8–41.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.4% | 17.8–23.2 |
| Frequent mental distress among adults | 18.0% | 16.0–20.1 |
| Frequent physical distress among adults | 14.5% | 12.8–16.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.9% | 13.1–16.8 |
| Any disability among adults | 31.1% | 27.4–35.2 |
| Hearing disability among adults | 7.5% | 6.6–8.4 |
| Independent living disability among adults | 8.0% | 7.0–9.0 |
| Mobility disability among adults | 14.2% | 12.3–16.2 |
| Self-care disability among adults | 3.6% | 3.2–4.0 |
| Vision disability among adults | 4.6% | 4.1–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 19.4–26.1 |
| Food insecurity in the past 12 months among adults | 12.5% | 10.5–14.9 |
| Received food stamps in the past 12 months among adults | 7.1% | 5.8–8.6 |
| Housing insecurity in the past 12 months among adults | 9.8% | 8.2–11.5 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.8–7.7 |
| Loneliness among adults | 32.5% | 28.0–37.0 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 6.0–8.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.8% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 8.5% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 7.4% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 17.4% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 3.1% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 0.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 89.7% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 13.1% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 89.1% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–4.2%) n=764 |
| Foreign-born population | 3.3% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 55.5% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 16.4% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 42.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $81,402 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $163,600 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $1,197 | $1,021 ($677–$1,912) n=25,670 | $925 ($704–$1,261) n=640 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.2 yr ± 1.51 | 78.9 yr (74.7–82.8) n=31,308 | 78.5 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 1.51 years of 79.2, 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