ZIP code
72320
in Brickeys, ArkansasPopulation 1,604
33.99/ 100
Ranked #29,739 of 32,066 US ZIPs (bottom 7.3%)
Ranked #454 of 562 Arkansas ZIPs (bottom 19%)
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.
Colon-cancer screening
45.2%
in the bottom 0.8% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Short sleep
49.2%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Poverty rate
65.8%
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cognitive disability
22.8%
in the top 2.7% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Utility shut-off threat
21%
in the top 2.0% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Tooth loss
27.4%
in the top 4.9% nationally
Lower is healthier
ST85thUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Housing insecurity
27.3%
in the top 2.8% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Obesity
47.4%
in the top 1.8% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People without health insurance
- People living in poverty
- Food insecurity
- Housing insecurity
- Adults reporting fair or poor health
Barriers to reaching care
- Thin local supply of doctors
- Thin local supply of pharmacies
- Limited home internet for telehealth
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
Brickeys, Arkansas (ZIP 72320), on the composite measure, lands in the bottom 7.3% nationally (29,739th) and the bottom 19% of Arkansas (454th), based on limited data; treat as directional.
The readings that carry the most weight locally lead the way: modeled colon screening rests in the bottom 0.8% nationally, modeled short sleep sits in the top 0.5% nationally, and poverty registers in the top 0.8% nationally. Modeled cognitive disability lands in the top 2.7% nationally, utility shutoff resides in the top 2.0% nationally, and tooth loss lies in the top 4.9% nationally. Modeled housing insecurity settles in the top 2.8% nationally, and obesity stands in the top 1.8% nationally. On the encouraging side, fatal road crashes is at the national minimum, and homeownership rests at the national maximum.
A healthier neighbor overall sits at ZIP 38626, about 2.4 miles away. Across the board, the area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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
Chronic Disease Burden
healthier than 70%
21%
Environmental Hazard
healthier than 91%
14%
About typical
Mental Health
healthier than 43%
8%
Holding it back
Social Need / SDOH
healthier than 1%
16%
Preventive Care
in the bottom 0.6%
13%
Risk Behavior
in the bottom 0.04%
11%
Disability
healthier than 23%
7%
Climate / Disaster RiskPartial
healthier than 12%
5%
Healthcare Access
healthier than 32%
5%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Environmental Hazard
healthier than 89%
14%
Mental Health
healthier than 84%
8%
Disability
healthier than 64%
7%
Holding it back
Social Need / SDOH
in the bottom 1.0%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.07%
11%
Climate / Disaster RiskPartial
healthier than 34%
5%
Healthcare Access
healthier than 30%
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
38664
Mississippishares a border
Score 25.80
Closest healthier
38626
Mississippiabout 2.4 mi away
Score 35.24
Similar health profile
31037
Georgia98% similar profile
Score 42.14
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 | 18.0% | 15.5–20.7 |
| High blood pressure among adults | 42.9% | 38.0–47.9 |
| Cancer (non-skin) or melanoma among adults | 3.1% | 2.8–3.5 |
| Current asthma among adults | 8.7% | 7.6–10.0 |
| Coronary heart disease among adults | 5.7% | 4.9–6.5 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.0–8.4 |
| Depression among adults | 18.7% | 15.6–22.0 |
| Diagnosed diabetes among adults | 12.7% | 10.9–14.7 |
| High cholesterol among adults who have ever been screened | 30.9% | 26.9–35.4 |
| Obesity among adults | 47.4% | 38.5–56.3 |
| Stroke among adults | 3.4% | 3.0–3.8 |
| All teeth lost among adults aged >=65 years | 27.4% | 22.9–32.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 18.7% | 14.7–23.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 63.4% | 58.9–67.6 |
| Visits to doctor for routine checkup within the past year among adults | 71.6% | 66.6–75.8 |
| Cholesterol screening among adults | 74.3% | 70.2–77.8 |
| Colorectal cancer screening among adults aged 45–75 years | 45.2% | 39.7–50.6 |
| Visited dentist or dental clinic in the past year among adults | 37.6% | 33.7–41.4 |
| Mammography use among women aged 50-74 years | 66.2% | 56.4–74.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.0% | 15.3–22.9 |
| Current cigarette smoking among adults | 26.0% | 21.7–30.3 |
| No leisure-time physical activity among adults | 36.5% | 30.5–42.9 |
| Short sleep duration among adults | 49.2% | 41.6–56.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.5% | 25.9–35.3 |
| Frequent mental distress among adults | 20.7% | 18.2–23.5 |
| Frequent physical distress among adults | 15.1% | 13.0–17.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.8% | 19.5–26.2 |
| Any disability among adults | 40.4% | 34.8–46.4 |
| Hearing disability among adults | 6.1% | 5.3–7.0 |
| Independent living disability among adults | 10.6% | 9.0–12.3 |
| Mobility disability among adults | 14.3% | 11.9–16.8 |
| Self-care disability among adults | 5.5% | 4.7–6.5 |
| Vision disability among adults | 7.6% | 6.4–8.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 40.1% | 34.8–45.5 |
| Food insecurity in the past 12 months among adults | 33.6% | 27.9–39.3 |
| Received food stamps in the past 12 months among adults | 23.1% | 18.6–27.9 |
| Housing insecurity in the past 12 months among adults | 27.3% | 23.1–31.7 |
| Lack of reliable transportation in the past 12 months among adults | 17.3% | 14.6–20.2 |
| Loneliness among adults | 38.7% | 32.8–45.0 |
| Utility services shut-off threat in the past 12 months among adults | 21.0% | 18.1–24.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AR median (p10–p90) |
|---|---|---|---|
| Poverty rate | 65.8% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (4.0–30.6%) n=574 |
| Uninsured 18–64 | 17.4% | 9.0% (1.5–24.3%) n=32,286 | 11.3% (1.5–24.1%) n=573 |
| No HS diploma (25+) | 22.4% | 7.9% (1.8–20.7%) n=32,505 | 12.0% (3.7–23.0%) n=577 |
| Bachelor's or higher (25+) | 1.7% | 23.3% (9.2–53.6%) n=32,505 | 15.5% (4.4–30.5%) n=577 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–11.6%) n=573 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–12.5%) n=574 |
| Broadband subscription | 61.5% | 89.3% (75.1–97.1%) n=32,322 | 83.2% (65.0–94.7%) n=574 |
| Housing cost burden (≥30% income) | 30.8% | 23.7% (10.6–40.0%) n=32,322 | 20.4% (4.3–33.2%) n=574 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 77.6% (57.7–96.1%) n=574 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–5.7%) n=574 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.5%) n=578 |
| Single-parent households | 55.6% | 53.6% (37.3–74.1%) n=32,087 | 53.0% (35.3–79.3%) n=571 |
| Population 65+ | 5.4% | 19.4% (10.8–33.6%) n=32,553 | 19.7% (11.6–37.9%) n=578 |
| Median age | 38.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.6 yr (33.6–58.1) n=573 |
| Median household income | $32,679 | $72,070 ($46,039–$118,707) n=30,318 | $53,893 ($36,003–$79,139) n=505 |
| Median home value | $67,200 | $222,200 ($100,300–$579,820) n=30,049 | $128,200 ($73,260–$235,420) n=519 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $800 ($568–$1,094) n=393 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | AR median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 72.2 yr ± 2.93 | 78.9 yr (74.7–82.8) n=31,308 | 76.2 yr (73.4–79.7) n=580 |
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 2.93 years of 72.2, 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