ZIP code
64844
in Granby, MissouriPopulation 4,796
37.05/ 100
Ranked #28,495 of 32,066 US ZIPs (bottom 11.2%)
Ranked #799 of 993 Missouri ZIPs (bottom 20%)
Ranked #30 of 31 Joplin, MO-KS ZIPs (bottom 3.3%)
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.
Unemployment rate
14.7%
in the top 3.9% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Arsenic in groundwater
1.1%
in the bottom 4.5% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
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 ›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 ›Grocery access
0.23 per 1,000 residents
in the top 5.9% nationally
Higher is healthier
ST95thUS94thDefinition & 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 ›Fatal road crashes
37.5 per 100,000 residents per year
in the top 8.1% nationally
Lower is healthier
ST88thUS92ndDefinition & 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 ›Fine-particle (PM2.5) exceedance
0.28%
in the top 22% nationally
Lower is healthier
ST93rdUS78thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
On balance, and by the composite measure, Granby, Missouri (ZIP 64844) ranks in the bottom 11.2% nationally (28,495th) and the bottom 20% of Missouri (799th).
Neither strongly one way nor the other, the measures sit mixed: modeled arsenic is in the bottom 4.5% nationally, and grocery stands in the top 5.9% nationally. Childcare settles in the top 12.9% nationally. Distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. Against that, unemployment resides in the top 3.9% nationally, modeled cognitive disability lands in the top 5.8% nationally, and fatal road crashes registers in the top 8.1% nationally. Modeled tooth loss sits in the top 10.2% nationally, independent living disability rests in the top 10.8% nationally, and hearing disability is in the top 11.8% nationally.
In plainer terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. For a healthier nearby ZIP overall, look to ZIP 64840, 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 Joplin, MO-KS metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 60%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 12%
16%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 38%
5%
Lifting this score
Healthcare Access
healthier than 66%
5%
About typical
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 10%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 16%
7%
Lifting this score
Environmental Hazard
healthier than 73%
14%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 70%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 3%
16%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 3%
7%
“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
64840
Missourishares a border
Score 44.54
Closest healthier
64850
Missourishares a border
Score 42.31
Similar health profile
65704
Missouri100% similar profile
Score 32.25
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 | 33.6% | 29.9–37.3 |
| High blood pressure among adults | 40.7% | 36.2–45.3 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.3–10.2 |
| Current asthma among adults | 11.4% | 10.0–12.8 |
| Coronary heart disease among adults | 8.9% | 8.0–9.9 |
| Chronic obstructive pulmonary disease among adults | 11.7% | 10.3–13.2 |
| Depression among adults | 26.5% | 22.5–30.7 |
| Diagnosed diabetes among adults | 15.0% | 13.1–17.1 |
| High cholesterol among adults who have ever been screened | 40.1% | 35.4–44.8 |
| Obesity among adults | 40.7% | 32.2–49.4 |
| Stroke among adults | 4.7% | 4.3–5.2 |
| All teeth lost among adults aged >=65 years | 23.1% | 19.1–27.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.6% | 8.7–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.7% | 75.7–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 78.2% | 74.4–81.8 |
| Cholesterol screening among adults | 82.1% | 79.8–84.3 |
| Colorectal cancer screening among adults aged 45–75 years | 60.0% | 54.6–65.5 |
| Visited dentist or dental clinic in the past year among adults | 53.2% | 49.4–57.1 |
| Mammography use among women aged 50-74 years | 71.1% | 62.3–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 11.7–17.7 |
| Current cigarette smoking among adults | 21.7% | 18.7–24.9 |
| No leisure-time physical activity among adults | 35.1% | 29.9–40.6 |
| Short sleep duration among adults | 39.6% | 32.8–46.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.2% | 22.9–29.6 |
| Frequent mental distress among adults | 19.8% | 17.6–22.2 |
| Frequent physical distress among adults | 17.9% | 15.8–20.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.1% | 18.6–23.5 |
| Any disability among adults | 42.1% | 37.2–47.0 |
| Hearing disability among adults | 10.7% | 9.6–12.0 |
| Independent living disability among adults | 12.1% | 10.7–13.6 |
| Mobility disability among adults | 20.8% | 18.2–23.4 |
| Self-care disability among adults | 5.5% | 4.9–6.1 |
| Vision disability among adults | 7.0% | 6.2–7.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.9% | 17.8–24.5 |
| Food insecurity in the past 12 months among adults | 18.1% | 15.4–21.0 |
| Received food stamps in the past 12 months among adults | 15.5% | 13.1–18.0 |
| Housing insecurity in the past 12 months among adults | 13.9% | 11.9–16.2 |
| Lack of reliable transportation in the past 12 months among adults | 10.5% | 9.2–12.0 |
| Loneliness among adults | 31.0% | 26.3–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 10.8% | 9.4–12.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.1% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 22.1% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 10.6% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 13.8% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 14.7% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 87.7% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 21.7% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 81.1% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 4.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 49.3% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 13.6% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 35.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $63,382 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $126,900 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $828 | $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 | 74.8 yr ± 1.01 | 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 1.01 years of 74.8, 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