ZIP code
63877
in Steele, MissouriPopulation 2,816
35.89/ 100
Ranked #29,046 of 32,066 US ZIPs (bottom 9.5%)
Ranked #838 of 993 Missouri ZIPs (bottom 16%)
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.
Grocery access
0.3 per 1,000 residents
in the top 3.7% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Cognitive disability
21.1%
in the top 5.8% nationally
Lower is healthier
ST84thUS94thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Fatal road crashes
46.2 per 100,000 residents per year
in the top 4.9% nationally
Lower is healthier
ST93rdUS95thDefinition & 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 ›Industrial-pollution burden
in the top 5.9% nationally
Lower is healthier
ST94thUS94thDefinition & 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 ›Fiber broadband
97%
in the top 8.2% nationally
Higher is healthier
ST93rdUS92ndDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Unemployment rate
10.8%
in the top 8.2% nationally
Lower is healthier
ST95thUS92ndDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Independent-living disability
12.5%
in the top 8.8% nationally
Lower is healthier
ST85thUS91stDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Slow internet speeds
1.4%
in the top 8.5% nationally
Lower is healthier
ST91stUS92ndDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Homeownership rate
55.2%
in the bottom 12.2% nationally
Higher is healthier
ST9thUS12thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Tree cover
0.03%
in the bottom 12.8% nationally
Higher is healthier
ST7thUS13thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Steele, Missouri (ZIP 63877), by its composite score, sits in the bottom 9.5% nationally (29,046th) and the bottom 16% of Missouri (838th), based on limited data; treat as directional.
The measures land in both directions, and neither dominates: grocery settles in the top 3.7% nationally, and fiber broadband sits in the top 8.2% nationally. Pulling the other way, modeled cognitive disability lies in the top 5.8% nationally, and fatal road crashes rests in the top 4.9% nationally. Modeled industrial-pollution burden resides in the top 5.9% nationally, unemployment is in the top 8.2% nationally, and modeled independent living disability lands in the top 8.8% nationally. Slow internet speeds stands in the top 8.5% nationally, modeled mobility disability registers in the top 11.4% nationally, and modeled tooth loss settles in the top 11.0% nationally.
Next to the surrounding area, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 38030, 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.
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 25%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 19%
8%
Disability
healthier than 9%
7%
Climate / Disaster RiskPartial
healthier than 18%
5%
Nothing measured is lifting this score.
About typical
Healthcare Access
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 8%
16%
Environmental Hazard
healthier than 30%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 13%
7%
Climate / Disaster RiskPartial
healthier than 10%
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
38030
Tennesseeshares a border
Score 39.60
Closest healthier
63826
Missourishares a border
Score 40.15
Similar health profile
71720
Arkansas99% similar profile
Score 29.95
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 | 34.4% | 30.9–38.0 |
| High blood pressure among adults | 42.1% | 37.9–46.3 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.4–10.1 |
| Current asthma among adults | 11.6% | 10.3–13.1 |
| Coronary heart disease among adults | 9.0% | 8.1–10.0 |
| Chronic obstructive pulmonary disease among adults | 11.6% | 10.2–13.1 |
| Depression among adults | 25.6% | 22.0–29.5 |
| Diagnosed diabetes among adults | 15.6% | 13.6–17.7 |
| High cholesterol among adults who have ever been screened | 41.5% | 37.2–45.9 |
| Obesity among adults | 41.4% | 33.7–49.3 |
| Stroke among adults | 4.9% | 4.5–5.4 |
| All teeth lost among adults aged >=65 years | 22.7% | 19.0–26.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.1–13.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.8–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.0% | 76.6–83.1 |
| Cholesterol screening among adults | 82.8% | 80.6–84.8 |
| Colorectal cancer screening among adults aged 45–75 years | 59.9% | 54.7–64.9 |
| Visited dentist or dental clinic in the past year among adults | 52.0% | 48.2–55.8 |
| Mammography use among women aged 50-74 years | 74.1% | 66.3–80.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.0% | 11.5–16.8 |
| Current cigarette smoking among adults | 21.5% | 18.4–24.6 |
| No leisure-time physical activity among adults | 37.0% | 31.7–42.4 |
| Short sleep duration among adults | 40.5% | 34.1–47.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.8% | 24.3–31.4 |
| Frequent mental distress among adults | 19.1% | 17.0–21.5 |
| Frequent physical distress among adults | 18.0% | 15.7–20.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 18.7–23.7 |
| Any disability among adults | 44.0% | 39.1–49.0 |
| Hearing disability among adults | 10.5% | 9.3–11.7 |
| Independent living disability among adults | 12.5% | 11.0–14.1 |
| Mobility disability among adults | 21.5% | 18.7–24.3 |
| Self-care disability among adults | 5.8% | 5.2–6.4 |
| Vision disability among adults | 7.3% | 6.6–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.2% | 18.0–24.6 |
| Food insecurity in the past 12 months among adults | 19.8% | 16.9–23.0 |
| Received food stamps in the past 12 months among adults | 17.8% | 15.2–20.7 |
| Housing insecurity in the past 12 months among adults | 15.1% | 13.0–17.4 |
| Lack of reliable transportation in the past 12 months among adults | 11.2% | 9.8–12.7 |
| Loneliness among adults | 33.1% | 28.0–38.1 |
| Utility services shut-off threat in the past 12 months among adults | 12.1% | 10.5–13.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 24.3% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 25.4% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 11.9% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 19.2% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 10.8% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 4.7% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 80.5% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 26.8% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 55.2% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 0.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 54.1% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 17.8% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 42.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $51,923 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $160,200 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $702 | $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 | 73.2 yr ± 1.03 | 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 1.03 years of 73.2, 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