ZIP code
40475
in Richmond, KentuckyPopulation 65,961
43.30/ 100
Ranked #24,101 of 32,066 US ZIPs (bottom 25%)
Ranked #168 of 742 Kentucky ZIPs (top 23%)
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.
Natural-disaster risk
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Expected annual disaster loss
$1
in the top 1.1% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Lithium in drinking water
9.2 µg/L
in the bottom 1.7% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
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 ›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 ›Short sleep
43.6%
in the top 5.3% nationally
Lower is healthier
ST76thUS95thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Subsidized affordable housing
335 units
in the top 7.2% nationally
Higher is healthier
ST97thUS93rdDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Homeownership rate
57.9%
in the bottom 14.2% nationally
Higher is healthier
ST10thUS14thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
Given how limited the coverage is here, Richmond, Kentucky (ZIP 40475) lands in the bottom 25% nationally (24,101st) and the top 23% of Kentucky (168th), based on limited data; treat as directional.
Where the data reaches, it shows a few things about this area: lithium in drinking water registers in the bottom 1.7% nationally, and lead in tap water rests at the national minimum. Distance to an emergency room stands at the national minimum, shared with about 11% of ZIPs. Subsidized affordable housing lies in the top 7.2% nationally. Distance to a community health center lands at the national minimum, shared with about 23% of ZIPs. Distance to a nursing home sits at the national minimum, shared with about 27% of ZIPs. By contrast, modeled disaster risk is in the top 0.4% nationally, expected annual loss settles in the top 1.1% nationally, and short sleep resides in the top 5.3% nationally. Homeownership registers in the bottom 14.2% nationally.
Set beside the nearby areas, expected annual loss runs far higher than the surrounding ZIPs on this measure. A note on the terms: disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. For a healthier nearby comparison, ZIP 40356, 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
Healthcare Access
in the top 0.00%
6%
About typical
Social Need / SDOH
healthier than 54%
19%
Preventive CarePartial
healthier than 48%
15%
Climate / Disaster Risk
healthier than 55%
6%
Holding it back
Environmental Hazard
healthier than 10%
16%
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
in the top 0.00%
19%
Preventive CarePartial
in the top 0.00%
15%
Climate / Disaster Risk
in the top 0.00%
6%
Healthcare Access
in the top 0.00%
6%
Holding it back
Environmental Hazard
in the bottom 0.00%
16%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 76.7 ± 0.9 years. A median household income of $63,050 predicts 78.3 years — 1.6 years below.
Ranked #1,930 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
40336
Kentuckyshares a border
Score 27.94
Closest healthier
40356
Kentuckyshares a border
Score 46.94
Similar health profile
19050
Pennsylvania98% similar profile
Score 40.96
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 | 15.7% | 12.9–18.9 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 67.5% | 62.6–72.1 |
| Visited dentist or dental clinic in the past year among adults | 59.8% | 56.0–63.6 |
| Mammography use among women aged 50-74 years | 74.8% | 66.7–81.9 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 43.6% | 36.9–50.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.1% | 10.6% (3.1–25.8%) n=32,364 | 17.1% (4.6–39.2%) n=747 |
| Uninsured 18–64 | 9.0% | 9.0% (1.5–24.3%) n=32,286 | 6.9% (0.0–16.5%) n=741 |
| No HS diploma (25+) | 7.5% | 7.9% (1.8–20.7%) n=32,505 | 13.7% (3.8–29.1%) n=748 |
| Bachelor's or higher (25+) | 37.4% | 23.3% (9.2–53.6%) n=32,505 | 14.8% (1.5–33.6%) n=748 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 3.8% (0.0–11.2%) n=733 |
| Households without a vehicle | 4.9% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.0–15.0%) n=745 |
| Broadband subscription | 89.0% | 89.3% (75.1–97.1%) n=32,322 | 86.7% (71.5–97.1%) n=745 |
| Housing cost burden (≥30% income) | 27.8% | 23.7% (10.6–40.0%) n=32,322 | 20.9% (6.2–34.7%) n=745 |
| Homeownership rate | 57.9% | 78.7% (51.7–94.0%) n=32,322 | 78.0% (58.2–96.7%) n=745 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.8%) n=745 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 0.3% (0.0–5.4%) n=749 |
| Single-parent households | 54.0% | 53.6% (37.3–74.1%) n=32,087 | 52.0% (34.7–75.0%) n=738 |
| Population 65+ | 14.7% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (9.6–29.6%) n=749 |
| Median age | 33.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.8 yr (32.3–53.9) n=738 |
| Median household income | $63,050 | $72,070 ($46,039–$118,707) n=30,318 | $57,097 ($34,611–$87,693) n=645 |
| Median home value | $244,300 | $222,200 ($100,300–$579,820) n=30,049 | $144,600 ($66,860–$265,120) n=643 |
| Median gross rent | $911 | $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 | 76.7 yr ± 0.46 | 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 0.46 years of 76.7, 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