ZIP code
41553
in Phelps, KentuckyPopulation 2,269
15.34/ 100
Ranked #32,022 of 32,066 US ZIPs (bottom 0.2%)
Ranked #716 of 742 Kentucky ZIPs (bottom 3.6%)
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
41.8%
in the top 0.4% 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
46.6%
in the top 1.6% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Energy-cost burden
6.5%
in the top 1.8% nationally
Lower is healthier
ST99thUS98thDefinition & 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 ›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 ›Tree cover
79.6%
in the top 5.1% nationally
Higher is healthier
ST71stUS95thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Housing-cost burden
5.3%
in the bottom 5.3% nationally
Lower is healthier
ST9thUS5thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Pharmacy access
0.45 per 1,000 residents
in the top 6.3% nationally
Higher is healthier
ST90thUS94thDefinition & 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 ›Crowded housing
6.9%
in the top 8.6% nationally
Lower is healthier
ST95thUS91stDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Outpatient-care access
0.45 per 1,000 residents
in the top 9.4% nationally
Higher is healthier
ST91stUS91stDefinition & source ›
The number of outpatient clinics 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 ›Colon-cancer screening
58.3%
in the bottom 9.9% nationally
Higher is healthier
ST11thUS10thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Given how limited the coverage is here, Phelps, Kentucky (ZIP 41553) lands in the bottom 0.2% nationally (32,022nd) and the bottom 3.6% of Kentucky (716th), based on limited data; treat as directional.
From the measures that are available, a few readings can be named: lead in tap water stands at the national minimum, and modeled tree cover lies in the top 5.1% nationally. Housing-cost burden lands in the bottom 5.3% nationally, and pharmacy sits in the top 6.3% nationally. Outpatient is in the top 9.4% nationally. On the other side, modeled tooth loss settles in the top 0.4% nationally, short sleep resides in the top 1.6% nationally, and energy burden registers in the top 1.8% nationally. Crowded housing rests in the top 8.6% nationally. Fiber broadband stands at the national minimum, shared with about 19% of ZIPs.
A note on the terms: 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. For a healthier nearby comparison, ZIP 24620, just across the boundary, ranks better 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.
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 67%
6%
Healthcare Access
healthier than 70%
6%
About typical
Environmental Hazard
healthier than 44%
16%
Holding it back
Social Need / SDOH
healthier than 4%
19%
Preventive CarePartial
healthier than 4%
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
in the top 1.0%
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
24620
Virginiashares a border
Score 29.67
Closest healthier
41524
Kentuckyshares a border
Score 16.47
Similar health profile
40442
Kentucky100% similar profile
Score 27.03
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 | 41.8% | 36.1–47.4 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 58.3% | 52.7–63.6 |
| Visited dentist or dental clinic in the past year among adults | 43.4% | 39.5–47.3 |
| Mammography use among women aged 50-74 years | 68.9% | 59.9–77.2 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 46.6% | 40.2–53.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.4% | 10.6% (3.1–25.8%) n=32,364 | 17.1% (4.6–39.2%) n=747 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 6.9% (0.0–16.5%) n=741 |
| No HS diploma (25+) | 28.9% | 7.9% (1.8–20.7%) n=32,505 | 13.7% (3.8–29.1%) n=748 |
| Bachelor's or higher (25+) | 22.8% | 23.3% (9.2–53.6%) n=32,505 | 14.8% (1.5–33.6%) n=748 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 3.8% (0.0–11.2%) n=733 |
| Households without a vehicle | 8.8% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.0–15.0%) n=745 |
| Broadband subscription | 82.7% | 89.3% (75.1–97.1%) n=32,322 | 86.7% (71.5–97.1%) n=745 |
| Housing cost burden (≥30% income) | 5.3% | 23.7% (10.6–40.0%) n=32,322 | 20.9% (6.2–34.7%) n=745 |
| Homeownership rate | 86.3% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (58.2–96.7%) n=745 |
| Crowded housing (>1 per room) | 6.9% | 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 | 46.2% | 53.6% (37.3–74.1%) n=32,087 | 52.0% (34.7–75.0%) n=738 |
| Population 65+ | 25.9% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (9.6–29.6%) n=749 |
| Median age | 43.6 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 | $106,500 | $222,200 ($100,300–$579,820) n=30,049 | $144,600 ($66,860–$265,120) n=643 |
| Median gross rent | $254 | $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 | 69.3 yr ± 1.44 | 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 1.44 years of 69.3, 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