ZIP code
41503
in South Williamson, KentuckyPopulation 472
43.85/ 100
Ranked #23,567 of 32,066 US ZIPs (bottom 27%)
Ranked #163 of 742 Kentucky ZIPs (top 22%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
Some domains have limited local data — read this Score as directional
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.
Industrial-pollution burden
in the bottom 0.4% nationally
Lower is healthier
ST3rdUS1stDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Crowded housing
33.5%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Short sleep
44.8%
in the top 3.4% nationally
Lower is healthier
ST88thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›PFAS in drinking water
71.8%
in the top 4.0% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & 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 ›Home broadband subscription
98.3%
in the top 6.9% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Households without a vehicle
15.5%
in the top 6.9% nationally
Lower is healthier
ST91stUS93rdDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Tree cover
73.6%
in the top 7.5% nationally
Higher is healthier
ST65thUS93rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Homeownership rate
47.3%
in the bottom 7.8% nationally
Higher is healthier
ST4thUS8thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Outer-floodplain exposure
4.3%
in the top 8.4% nationally
Lower is healthier
ST97thUS92ndDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
From the measures that could be gathered, South Williamson, Kentucky (ZIP 41503) lands in the bottom 27% nationally (23,567th) and the top 22% of Kentucky (163rd), based on limited data; treat as directional.
So far as the data reaches, a few readings can be drawn: modeled industrial-pollution burden sits in the bottom 0.4% nationally, and lead in tap water lies at the national minimum. Distance to an emergency room rests at the national minimum, shared with about 11% of ZIPs. Home broadband subscription resides in the top 6.9% nationally, and modeled tree cover is in the top 7.5% nationally. By contrast, crowded housing lands in the top 0.4% nationally, modeled short sleep stands in the top 3.4% nationally, and modeled pfas registers in the top 4.0% nationally. Households without a vehicle settles in the top 6.9% nationally, and homeownership sits in the bottom 7.8% nationally.
Beside the areas that surround it, crowded housing runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Among the ZIPs nearby, none ranks healthier overall than this one.
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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 93%
6%
About typical
Climate / Disaster Risk
healthier than 46%
6%
Holding it back
Social Need / SDOH
healthier than 16%
19%
Environmental Hazard
healthier than 31%
16%
Preventive CarePartial
healthier than 39%
15%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
Lifting this score
Environmental Hazard
healthier than 64%
16%
Preventive CarePartial
healthier than 75%
15%
Healthcare Access
healthier than 94%
6%
Holding it back
Social Need / SDOH
healthier than 23%
19%
Climate / Disaster Risk
in the bottom 0.00%
6%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
“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
25661
West Virginiashares a border
Score 21.88
Similar health profile
41622
Kentucky98% similar profile
Score 46.95
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 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| All teeth lost among adults aged >=65 years | 12.9% | 10.5–15.5 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 67.3% | 62.6–71.8 |
| Visited dentist or dental clinic in the past year among adults | 56.2% | 52.2–60.1 |
| Mammography use among women aged 50-74 years | 74.9% | 67.0–81.9 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 44.8% | 38.4–51.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.7% | 10.6% (3.1–25.8%) n=32,364 | 17.1% (4.6–39.2%) n=747 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 6.9% (0.0–16.5%) n=741 |
| No HS diploma (25+) | 17.1% | 7.9% (1.8–20.7%) n=32,505 | 13.7% (3.8–29.1%) n=748 |
| Bachelor's or higher (25+) | 14.4% | 23.3% (9.2–53.6%) n=32,505 | 14.8% (1.5–33.6%) n=748 |
| Unemployment rate (16+) | 5.7% | 3.9% (0.0–9.8%) n=32,274 | 3.8% (0.0–11.2%) n=733 |
| Households without a vehicle | 15.5% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.0–15.0%) n=745 |
| Broadband subscription | 98.3% | 89.3% (75.1–97.1%) n=32,322 | 86.7% (71.5–97.1%) n=745 |
| Housing cost burden (≥30% income) | 18.4% | 23.7% (10.6–40.0%) n=32,322 | 20.9% (6.2–34.7%) n=745 |
| Homeownership rate | 47.3% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (58.2–96.7%) n=745 |
| Crowded housing (>1 per room) | 33.5% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.8%) n=745 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.3% (0.0–5.4%) n=749 |
| Single-parent households | 84.6% | 53.6% (37.3–74.1%) n=32,087 | 52.0% (34.7–75.0%) n=738 |
| Population 65+ | 15.0% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (9.6–29.6%) n=749 |
| Median age | 48.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (32.3–53.9) n=738 |
| Median household income | $56,484 | $72,070 ($46,039–$118,707) n=30,318 | $57,097 ($34,611–$87,693) n=645 |
| Median home value | $169,800 | $222,200 ($100,300–$579,820) n=30,049 | $144,600 ($66,860–$265,120) n=643 |
| Median gross rent | $723 | $1,021 ($677–$1,912) n=25,670 | $821 ($592–$1,170) n=466 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | KY median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 74.3 yr ± 1.60 | 78.9 yr (74.7–82.8) n=31,308 | 74.8 yr (71.5–78.1) n=739 |
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 1.60 years of 74.3, 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