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ZipVitals

ZIP code

41255

in Sitka, KentuckyPopulation 736

29.25/ 100

Ranked #30,904 of 32,066 US ZIPs (bottom 3.7%)

Ranked #485 of 742 Kentucky ZIPs (bottom 35%)

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.

Fiber broadband

99.8%

in the top 2.5% nationally

Higher is healthier

ST94th
US98th
Definition & source ›

The share of homes where fiber-optic internet service is available.

Full methodology ›

Mammography

65.7%

in the bottom 3.6% nationally

Higher is healthier

ST7th
US4th
Definition & source ›

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

Full methodology ›

Short sleep

43.9%

in the top 4.7% nationally

Lower is healthier

ST79th
US95th
Definition & source ›

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

Full methodology ›

Tree cover

81.2%

in the top 4.5% nationally

Higher is healthier

ST72nd
US96th
Definition & source ›

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

Full methodology ›

Tooth loss

25.9%

in the top 6.2% nationally

Lower is healthier

ST62nd
US94th
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 9.9% nationally

Lower is healthier

ST15th
US10th
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 ›

The read

Working only from the data in hand, Sitka, Kentucky (ZIP 41255) lands in the bottom 3.7% nationally (30,904th) and the bottom 35% of Kentucky (485th), based on limited data; treat as directional.

continue reading

On the limited coverage here, the data still marks out some readings: fiber broadband registers in the top 2.5% nationally, and modeled tree cover sits in the top 4.5% nationally. Modeled industrial-pollution burden rests in the bottom 9.9% nationally. Modeled loud transportation noise is at the national minimum, shared with about 22% of ZIPs. Crowded housing stands at the national minimum, shared with about 29% of ZIPs. Lead in tap water settles in the bottom 14.7% nationally. On the other side, modeled mammography lies in the bottom 3.6% nationally, short sleep resides in the top 4.7% nationally, and tooth loss lands in the top 6.2% nationally. Poverty registers in the top 16% nationally.

To translate a couple of 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. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Overall, the nearest healthier neighbor is ZIP 41256, 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.

Compare within

Lifting this score

Environmental Hazard

healthier than 68%

16%

Climate / Disaster Risk

healthier than 64%

6%

About typical

Healthcare Access

healthier than 49%

6%

Holding it back

Social Need / SDOH

healthier than 31%

19%

Preventive CarePartial

healthier than 6%

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

Social Need / SDOH

healthier than 67%

19%

Environmental Hazard

in the top 0.00%

16%

Climate / Disaster Risk

in the top 0.00%

6%

Holding it back

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 years25.9%21.6–30.7
PreventionCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Colorectal cancer screening among adults aged 45–75 years62.7%57.4–67.9
Visited dentist or dental clinic in the past year among adults49.2%45.2–53.2
Mammography use among women aged 50-74 years65.7%55.3–74.3
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
MeasureCrude prevalence95% CI
Short sleep duration among adults43.9%36.4–51.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)KY median (p10–p90)
Poverty rate21.3%10.6% (3.1–25.8%) n=32,36417.1% (4.6–39.2%) n=747
Uninsured 18–6412.3%9.0% (1.5–24.3%) n=32,2866.9% (0.0–16.5%) n=741
No HS diploma (25+)21.2%7.9% (1.8–20.7%) n=32,50513.7% (3.8–29.1%) n=748
Bachelor's or higher (25+)37.6%23.3% (9.2–53.6%) n=32,50514.8% (1.5–33.6%) n=748
Unemployment rate (16+)0.8%3.9% (0.0–9.8%) n=32,2743.8% (0.0–11.2%) n=733
Households without a vehicle9.4%3.9% (0.0–12.5%) n=32,3224.6% (0.0–15.0%) n=745
Broadband subscription90.6%89.3% (75.1–97.1%) n=32,32286.7% (71.5–97.1%) n=745
Housing cost burden (≥30% income)17.7%23.7% (10.6–40.0%) n=32,32220.9% (6.2–34.7%) n=745
Homeownership rate77.8%78.7% (51.7–94.0%) n=32,32278.0% (58.2–96.7%) n=745
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3220.7% (0.0–4.8%) n=745
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.3% (0.0–5.4%) n=749
Single-parent households70.0%53.6% (37.3–74.1%) n=32,08752.0% (34.7–75.0%) n=738
Population 65+6.8%19.4% (10.8–33.6%) n=32,55318.2% (9.6–29.6%) n=749
Median age41.4 yr42.2 yr (33.0–56.3) n=32,29241.8 yr (32.3–53.9) n=738
Median household income$57,697$72,070 ($46,039–$118,707) n=30,318$57,097 ($34,611–$87,693) n=645
Median home value$122,700$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
MeasureValueUS median (p10–p90)KY median (p10–p90)
Life expectancy at birth72.2 yr ± 1.1378.9 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 1.13 years of 72.2, 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