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ZipVitals

ZIP code

41635

in Harold, KentuckyPopulation 3,166

12.93/ 100

Ranked #32,053 of 32,066 US ZIPs (bottom 0.05%)

Ranked #735 of 742 Kentucky ZIPs (bottom 1.0%)

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

37.2%

in the top 0.8% nationally

Lower is healthier

ST96th
US99th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Industrial-pollution burden

in the bottom 0.7% nationally

Lower is healthier

ST7th
US1st
Definition & 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 ›

Short sleep

46.8%

in the top 1.5% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Energy-cost burden

6.2%

in the top 2.3% nationally

Lower is healthier

ST99th
US98th
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 ›

Mammography

65.3%

in the bottom 3.2% nationally

Higher is healthier

ST6th
US3rd
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Pharmacy access

0.7 per 1,000 residents

in the top 2.4% nationally

Higher is healthier

ST96th
US98th
Definition & 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 ›

Tree cover

84.3%

in the top 3.3% nationally

Higher is healthier

ST78th
US97th
Definition & source ›

The share of this ZIP’s land area covered by forest.

Full methodology ›

Poverty rate

34.9%

in the top 4.5% nationally

Lower is healthier

ST87th
US96th
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

PFAS in drinking water

69.8%

in the top 4.5% nationally

Lower is healthier

ST96th
US96th
Definition & 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

US1st
Definition & 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

With only some of the sources reporting, Harold, Kentucky (ZIP 41635) lands in the bottom 0.05% nationally (32,053rd) and the bottom 1.0% of Kentucky (735th), based on limited data; treat as directional.

continue reading

This area's available measures are set out plainly: modeled industrial-pollution burden is in the bottom 0.7% nationally, pharmacy sits in the top 2.4% nationally, and modeled tree cover lands in the top 3.3% nationally. Lead in tap water lies at the national minimum. Against that, modeled tooth loss stands in the top 0.8% nationally, and short sleep rests in the top 1.5% nationally. Modeled energy burden registers in the top 2.3% nationally, and mammography resides in the bottom 3.2% nationally. Poverty settles in the top 4.5% nationally, and modeled pfas is in the top 4.5% nationally.

Against the wider neighborhood, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Put simply, 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. On the overall standing, ZIP 41501, just across the boundary, ranks healthier.

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.

Compare within

Lifting this score

Healthcare Access

healthier than 66%

6%

About typical

Climate / Disaster Risk

healthier than 58%

6%

Holding it back

Social Need / SDOH

healthier than 3%

19%

Environmental Hazard

healthier than 29%

16%

Preventive CarePartial

healthier than 2%

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

Climate / Disaster Risk

in the top 0.00%

6%

About typical

Environmental Hazard

healthier than 55%

16%

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.

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
MeasureCrude prevalence95% CI
All teeth lost among adults aged >=65 years37.2%32.4–42.1
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years58.1%52.8–63.3
Visited dentist or dental clinic in the past year among adults41.8%38.2–45.5
Mammography use among women aged 50-74 years65.3%56.7–73.6
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults46.8%40.0–53.6
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)KY median (p10–p90)
Poverty rate34.9%10.6% (3.1–25.8%) n=32,36417.1% (4.6–39.2%) n=747
Uninsured 18–647.1%9.0% (1.5–24.3%) n=32,2866.9% (0.0–16.5%) n=741
No HS diploma (25+)31.7%7.9% (1.8–20.7%) n=32,50513.7% (3.8–29.1%) n=748
Bachelor's or higher (25+)12.1%23.3% (9.2–53.6%) n=32,50514.8% (1.5–33.6%) n=748
Unemployment rate (16+)12.5%3.9% (0.0–9.8%) n=32,2743.8% (0.0–11.2%) n=733
Households without a vehicle3.4%3.9% (0.0–12.5%) n=32,3224.6% (0.0–15.0%) n=745
Broadband subscription94.0%89.3% (75.1–97.1%) n=32,32286.7% (71.5–97.1%) n=745
Housing cost burden (≥30% income)22.2%23.7% (10.6–40.0%) n=32,32220.9% (6.2–34.7%) n=745
Homeownership rate75.6%78.7% (51.7–94.0%) n=32,32278.0% (58.2–96.7%) n=745
Crowded housing (>1 per room)3.1%1.3% (0.0–6.3%) n=32,3220.7% (0.0–4.8%) n=745
Foreign-born population0.7%2.6% (0.0–18.6%) n=32,5530.3% (0.0–5.4%) n=749
Single-parent households49.3%53.6% (37.3–74.1%) n=32,08752.0% (34.7–75.0%) n=738
Population 65+9.0%19.4% (10.8–33.6%) n=32,55318.2% (9.6–29.6%) n=749
Median age41.1 yr42.2 yr (33.0–56.3) n=32,29241.8 yr (32.3–53.9) n=738
Median household income$41,292$72,070 ($46,039–$118,707) n=30,318$57,097 ($34,611–$87,693) n=645
Median home value$78,300$222,200 ($100,300–$579,820) n=30,049$144,600 ($66,860–$265,120) n=643
Median gross rent$958$1,021 ($677–$1,912) n=25,670$821 ($592–$1,170) n=466
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)KY median (p10–p90)
Life expectancy at birth69.5 yr ± 1.2078.9 yr (74.7–82.8) n=31,30874.8 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 1.20 years of 69.5, 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