ZIP code
64088
in Sibley, MissouriPopulation 1,456
48.04/ 100
Ranked #18,878 of 32,066 US ZIPs (bottom 41%)
Ranked #276 of 993 Missouri ZIPs (top 28%)
Ranked #126 of 200 Kansas City, MO-KS ZIPs (bottom 37%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
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.
Loud transportation noise
2.9%
in the top 4.0% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Transportation noise
14.3%
in the top 4.7% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Homeownership rate
98.1%
in the top 5.6% nationally
Higher is healthier
ST94thUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Slow internet speeds
1.8%
in the top 6.3% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Fatal road crashes
41.2 per 100,000 residents per year
in the top 6.5% nationally
Lower is healthier
ST89thUS94thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›High cholesterol
43.5%
in the top 8.6% nationally
Lower is healthier
ST92ndUS91stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Walkability
3.1 intersections/sq mi
in the bottom 17% nationally
Higher is healthier
ST8thUS17thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Short sleep
32.1%
in the bottom 21% nationally
Lower is healthier
ST4thUS21stDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Median household income
$101,645
in the top 18% nationally
Higher is healthier
ST93rdUS82ndDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
In overall standing, Sibley, Missouri (ZIP 64088) comes out in the bottom 41% nationally (18,878th) and the top 28% of Missouri (276th).
Both sides of the picture show up plainly in this area's numbers: homeownership registers in the top 5.6% nationally, and lead in tap water stands in the bottom 12.4% nationally. By contrast, modeled loud transportation noise lands in the top 4.0% nationally, modeled transportation noise is in the top 4.7% nationally, and slow internet speeds resides in the top 6.3% nationally. Fatal road crashes rests in the top 6.5% nationally, and floodplain exposure lies in the top 10.4% nationally. Modeled industrial-pollution burden sits in the top 11.1% nationally, and high cholesterol settles in the top 8.6% nationally. Distance to a hazardous-chemical facility registers at the national minimum, shared with about 31% of ZIPs.
Relative to the ZIPs around it, park land runs far lower than the surrounding ZIPs on this measure. In plain 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. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. The nearest healthier ZIP overall is ZIP 64016, 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. Compare it against the US, this state and the Kansas City, MO-KS metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 70%
16%
Preventive Care
healthier than 60%
13%
About typical
Chronic Disease Burden
healthier than 44%
21%
Risk Behavior
healthier than 45%
11%
Disability
healthier than 43%
7%
Healthcare Access
healthier than 49%
5%
Holding it back
Environmental Hazard
healthier than 22%
14%
Mental Health
healthier than 24%
8%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Social Need / SDOH
healthier than 76%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 84%
11%
Disability
healthier than 74%
7%
About typical
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 18%
14%
Mental Health
healthier than 37%
8%
Climate / Disaster Risk
healthier than 9%
5%
Lifting this score
Preventive Care
healthier than 69%
13%
About typical
Social Need / SDOH
healthier than 53%
16%
Environmental Hazard
healthier than 52%
14%
Risk Behavior
healthier than 51%
11%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Mental Health
healthier than 25%
8%
Disability
healthier than 38%
7%
Climate / Disaster Risk
healthier than 9%
5%
Healthcare Access
healthier than 37%
5%
“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
64016
Missourishares a border
Score 49.65
Closest healthier
64029
Missouriabout 0.8 mi away
Score 51.95
Similar health profile
35640
Alabama97% similar profile
Score 49.28
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 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 31.5% | 28.7–34.2 |
| High blood pressure among adults | 37.5% | 34.4–40.6 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.5–11.4 |
| Current asthma among adults | 10.1% | 9.0–11.3 |
| Coronary heart disease among adults | 7.6% | 6.7–8.5 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.4–9.9 |
| Depression among adults | 26.0% | 23.2–28.9 |
| Diagnosed diabetes among adults | 11.9% | 10.3–13.5 |
| High cholesterol among adults who have ever been screened | 43.5% | 40.3–46.7 |
| Obesity among adults | 34.0% | 30.1–38.0 |
| Stroke among adults | 3.8% | 3.4–4.2 |
| All teeth lost among adults aged >=65 years | 13.3% | 11.0–15.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.1% | 6.5–9.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.5% | 75.8–81.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 75.3–80.7 |
| Cholesterol screening among adults | 86.7% | 85.0–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.6% | 64.8–72.2 |
| Visited dentist or dental clinic in the past year among adults | 63.9% | 60.8–66.8 |
| Mammography use among women aged 50-74 years | 75.6% | 69.7–80.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 15.1–19.9 |
| Current cigarette smoking among adults | 16.1% | 13.6–18.7 |
| No leisure-time physical activity among adults | 29.2% | 25.3–32.8 |
| Short sleep duration among adults | 32.1% | 28.5–35.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.9% | 17.3–22.6 |
| Frequent mental distress among adults | 17.9% | 15.9–19.9 |
| Frequent physical distress among adults | 14.6% | 12.9–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.3% | 14.3–18.4 |
| Any disability among adults | 36.9% | 33.0–40.5 |
| Hearing disability among adults | 9.3% | 8.2–10.5 |
| Independent living disability among adults | 8.7% | 7.7–9.9 |
| Mobility disability among adults | 16.7% | 14.5–18.9 |
| Self-care disability among adults | 3.7% | 3.2–4.2 |
| Vision disability among adults | 4.5% | 4.0–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 18.3–23.8 |
| Food insecurity in the past 12 months among adults | 10.8% | 9.1–12.8 |
| Received food stamps in the past 12 months among adults | 7.3% | 6.0–8.8 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.6–11.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.9–7.7 |
| Loneliness among adults | 31.0% | 27.7–34.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 6.1–8.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.9% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 14.7% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 11.3% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 17.0% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 1.5% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 0.8% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 89.9% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 22.6% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 98.1% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 57.2% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 21.0% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 49.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $101,645 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $342,800 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $713 | $1,021 ($677–$1,912) n=25,670 | $813 ($553–$1,265) n=786 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 78.8 yr ± 1.08 | 78.9 yr (74.7–82.8) n=31,308 | 77.6 yr (74.6–81.0) n=995 |
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 1.08 years of 78.8, 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