ZIP code
41631
in Grethel, KentuckyPopulation 1,059
9.15/ 100
Ranked #32,065 of 32,066 US ZIPs (bottom 0.01%)
Ranked #741 of 742 Kentucky ZIPs (bottom 0.2%)
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.
Tooth loss
44%
in the top 0.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Short sleep
48.1%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Elder-services access
1.1 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Industrial-pollution burden
in the bottom 0.7% nationally
Lower is healthier
ST7thUS1stDefinition & 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 ›Energy-cost burden
6.7%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Poverty rate
59.5%
in the top 1.0% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Mammography
64.1%
in the bottom 2.2% nationally
Higher is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
53.4%
in the bottom 3.7% nationally
Higher is healthier
ST2ndUS4thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Unemployment rate
15.7%
in the top 3.4% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The share of the civilian labor force that is unemployed.
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 ›The read
From the measures that could be gathered, Grethel, Kentucky (ZIP 41631) lands in the bottom 0.01% nationally (32,065th) and the bottom 0.2% of Kentucky (741st), based on limited data; treat as directional.
The data opens carefully, on limited coverage: elder services resides in the top 0.6% nationally, and modeled industrial-pollution burden is in the bottom 0.7% nationally. Lead in tap water lands at the national minimum. On the other hand, modeled tooth loss stands in the top 0.3% nationally, short sleep registers in the top 0.9% nationally, and energy burden settles in the top 1.5% nationally. Poverty sits in the top 1.0% nationally, modeled mammography lies in the bottom 2.2% nationally, and modeled colon screening rests in the bottom 3.7% nationally. Unemployment resides in the top 3.4% nationally.
Beside the areas that surround it, elder services 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. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Energy burden is the share of household income that goes to home energy bills. Among nearby ZIPs, the nearest healthier one overall is ZIP 41603, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 62%
6%
About typical
Healthcare Access
healthier than 59%
6%
Holding it back
Social Need / SDOH
healthier than 1%
19%
Environmental Hazard
healthier than 38%
16%
Preventive CarePartial
in the bottom 0.5%
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 83%
16%
Climate / Disaster Risk
in the top 0.00%
6%
Holding it back
Social Need / SDOH
in the bottom 0.00%
19%
Preventive CarePartial
in the bottom 0.00%
15%
Healthcare Access
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
41603
Kentuckyshares a border
Score 27.60
Closest healthier
41635
Kentuckyshares a border
Score 12.93
Similar health profile
41723
Kentucky100% similar profile
Score 21.93
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 | 44.0% | 38.4–49.5 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 53.4% | 48.0–58.6 |
| Visited dentist or dental clinic in the past year among adults | 37.3% | 33.6–41.1 |
| Mammography use among women aged 50-74 years | 64.1% | 54.6–72.6 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 48.1% | 41.2–55.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 59.5% | 10.6% (3.1–25.8%) n=32,364 | 17.1% (4.6–39.2%) n=747 |
| Uninsured 18–64 | 16.5% | 9.0% (1.5–24.3%) n=32,286 | 6.9% (0.0–16.5%) n=741 |
| No HS diploma (25+) | 41.5% | 7.9% (1.8–20.7%) n=32,505 | 13.7% (3.8–29.1%) n=748 |
| Bachelor's or higher (25+) | 14.0% | 23.3% (9.2–53.6%) n=32,505 | 14.8% (1.5–33.6%) n=748 |
| Unemployment rate (16+) | 15.7% | 3.9% (0.0–9.8%) n=32,274 | 3.8% (0.0–11.2%) n=733 |
| Households without a vehicle | 17.8% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.0–15.0%) n=745 |
| Broadband subscription | 70.0% | 89.3% (75.1–97.1%) n=32,322 | 86.7% (71.5–97.1%) n=745 |
| Housing cost burden (≥30% income) | 40.7% | 23.7% (10.6–40.0%) n=32,322 | 20.9% (6.2–34.7%) n=745 |
| Homeownership rate | 74.9% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (58.2–96.7%) n=745 |
| Crowded housing (>1 per room) | 0.0% | 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 | 44.3% | 53.6% (37.3–74.1%) n=32,087 | 52.0% (34.7–75.0%) n=738 |
| Population 65+ | 22.5% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (9.6–29.6%) n=749 |
| Median age | 35.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (32.3–53.9) n=738 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $57,097 ($34,611–$87,693) n=645 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $144,600 ($66,860–$265,120) n=643 |
| Median gross rent | — | $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 | 68.9 yr ± 1.09 | 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 1.09 years of 68.9, 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