ZIP code
72016
in Bigelow, ArkansasPopulation 2,727
44.48/ 100
Ranked #22,924 of 32,066 US ZIPs (bottom 29%)
Ranked #103 of 562 Arkansas ZIPs (top 18%)
Ranked #34 of 59 Little Rock-North Little Rock-Conway, AR ZIPs (bottom 42%)
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.
Lead in tap water
33 ppb
in the top 0.3% nationally
Lower is healthier
US99thDefinition & 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 ›Mental-health provider access
0.34 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of mental-health clinics located 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.
Full methodology ›Fatal road crashes
36.7 per 100,000 residents per year
in the top 8.6% nationally
Lower is healthier
ST82ndUS91stDefinition & 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 ›Energy-cost burden
2.4%
in the bottom 23% nationally
Lower is healthier
ST7thUS23rdDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›The read
Overall, Bigelow, Arkansas (ZIP 72016) lands in the bottom 29% nationally (22,924th) and the top 18% of Arkansas (103rd), based on limited data; treat as directional.
Several measures weigh most on this area's profile, and they come first: lead in tap water resides in the top 0.3% nationally, and fatal road crashes registers in the top 8.6% nationally. Modeled humid heat rests in the top 14.2% nationally. Recreation stands at the national minimum, shared with about 35% of ZIPs. On the better side, mental-health providers lies in the top 1.7% nationally, fiber broadband lands in the top 12.8% nationally, and modeled arsenic sits in the bottom 14.1% nationally. Outpatient is in the top 15% nationally, modeled tree cover settles in the top 18% nationally, and households without a vehicle resides in the bottom 18% nationally.
Set beside the nearby areas, lead in tap water runs far higher than the surrounding ZIPs on this measure. A note on the terms: lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. For a healthier nearby comparison, ZIP 72034, 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. Compare it against the US, this state and the Little Rock-North Little Rock-Conway, AR 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 64%
16%
Environmental Hazard
healthier than 90%
14%
About typical
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 25%
7%
Climate / Disaster RiskPartial
healthier than 15%
5%
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 86%
16%
Environmental Hazard
healthier than 85%
14%
Preventive Care
healthier than 63%
13%
Mental Health
healthier than 63%
8%
Disability
healthier than 67%
7%
About typical
Risk Behavior
healthier than 56%
11%
Climate / Disaster RiskPartial
healthier than 42%
5%
Healthcare Access
healthier than 42%
5%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 93%
14%
About typical
Social Need / SDOH
healthier than 51%
16%
Preventive Care
healthier than 53%
13%
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Risk Behavior
healthier than 32%
11%
Disability
healthier than 25%
7%
Climate / Disaster RiskPartial
healthier than 33%
5%
Healthcare Access
healthier than 20%
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
72034
Arkansasshares a border
Score 49.10
Closest healthier
72135
Arkansasshares a border
Score 56.52
Similar health profile
72024
Arkansas98% similar profile
Score 41.92
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 | 31.7% | 28.4–35.1 |
| High blood pressure among adults | 43.3% | 39.2–47.4 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.7–10.6 |
| Current asthma among adults | 10.3% | 9.1–11.6 |
| Coronary heart disease among adults | 8.6% | 7.6–9.6 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.4–11.4 |
| Depression among adults | 25.3% | 21.8–28.9 |
| Diagnosed diabetes among adults | 13.7% | 11.8–15.5 |
| High cholesterol among adults who have ever been screened | 41.5% | 37.4–45.7 |
| Obesity among adults | 38.9% | 31.5–46.6 |
| Stroke among adults | 4.3% | 3.8–4.8 |
| All teeth lost among adults aged >=65 years | 13.8% | 11.6–16.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.8% | 7.7–12.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.2% | 76.6–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 79.2% | 75.9–82.4 |
| Cholesterol screening among adults | 86.1% | 84.0–88.0 |
| Colorectal cancer screening among adults aged 45–75 years | 60.6% | 56.1–65.0 |
| Visited dentist or dental clinic in the past year among adults | 54.8% | 51.3–58.3 |
| Mammography use among women aged 50-74 years | 71.7% | 64.1–78.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.7% | 12.1–17.5 |
| Current cigarette smoking among adults | 17.7% | 14.7–20.6 |
| No leisure-time physical activity among adults | 33.0% | 28.0–38.1 |
| Short sleep duration among adults | 38.3% | 32.2–44.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.6% | 21.1–28.2 |
| Frequent mental distress among adults | 18.2% | 16.1–20.4 |
| Frequent physical distress among adults | 16.6% | 14.5–18.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 15.6–20.3 |
| Any disability among adults | 39.0% | 34.2–43.8 |
| Hearing disability among adults | 9.6% | 8.5–10.7 |
| Independent living disability among adults | 10.0% | 8.6–11.4 |
| Mobility disability among adults | 18.6% | 15.9–21.3 |
| Self-care disability among adults | 4.7% | 4.1–5.4 |
| Vision disability among adults | 6.0% | 5.2–6.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.4% | 21.8–29.3 |
| Food insecurity in the past 12 months among adults | 16.1% | 13.1–19.3 |
| Received food stamps in the past 12 months among adults | 10.1% | 8.1–12.5 |
| Housing insecurity in the past 12 months among adults | 12.0% | 10.0–14.1 |
| Lack of reliable transportation in the past 12 months among adults | 8.4% | 7.2–9.7 |
| Loneliness among adults | 32.3% | 27.5–37.2 |
| Utility services shut-off threat in the past 12 months among adults | 8.9% | 7.6–10.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | AR median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.9% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (4.0–30.6%) n=574 |
| Uninsured 18–64 | 6.5% | 9.0% (1.5–24.3%) n=32,286 | 11.3% (1.5–24.1%) n=573 |
| No HS diploma (25+) | 8.8% | 7.9% (1.8–20.7%) n=32,505 | 12.0% (3.7–23.0%) n=577 |
| Bachelor's or higher (25+) | 20.8% | 23.3% (9.2–53.6%) n=32,505 | 15.5% (4.4–30.5%) n=577 |
| Unemployment rate (16+) | 5.5% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–11.6%) n=573 |
| Households without a vehicle | 0.7% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–12.5%) n=574 |
| Broadband subscription | 88.9% | 89.3% (75.1–97.1%) n=32,322 | 83.2% (65.0–94.7%) n=574 |
| Housing cost burden (≥30% income) | 16.7% | 23.7% (10.6–40.0%) n=32,322 | 20.4% (4.3–33.2%) n=574 |
| Homeownership rate | 77.6% | 78.7% (51.7–94.0%) n=32,322 | 77.6% (57.7–96.1%) n=574 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 1.3% (0.0–5.7%) n=574 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.5%) n=578 |
| Single-parent households | 64.1% | 53.6% (37.3–74.1%) n=32,087 | 53.0% (35.3–79.3%) n=571 |
| Population 65+ | 21.2% | 19.4% (10.8–33.6%) n=32,553 | 19.7% (11.6–37.9%) n=578 |
| Median age | 40.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.6 yr (33.6–58.1) n=573 |
| Median household income | $64,280 | $72,070 ($46,039–$118,707) n=30,318 | $53,893 ($36,003–$79,139) n=505 |
| Median home value | $172,400 | $222,200 ($100,300–$579,820) n=30,049 | $128,200 ($73,260–$235,420) n=519 |
| Median gross rent | $913 | $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 | 79.0 yr ± 1.49 | 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 1.49 years of 79.0, 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