ZIP code
39336
in Lawrence, MississippiPopulation 1,345
40.81/ 100
Ranked #26,181 of 32,066 US ZIPs (bottom 18%)
Ranked #212 of 406 Mississippi ZIPs (bottom 48%)
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.
Fatal road crashes
59.5 per 100,000 residents per year
in the top 2.4% nationally
Lower is healthier
ST97thUS98thDefinition & 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 ›Arsenic in groundwater
1.0%
in the bottom 2.5% nationally
Lower is healthier
ST10thUS2ndDefinition & 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 ›Child-care access
0.8 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of child day-care services 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 ›Poverty rate
36%
in the top 4.1% nationally
Lower is healthier
ST89thUS96thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›High blood pressure
48.3%
in the top 5.5% nationally
Lower is healthier
ST52ndUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Binge drinking
11.9%
in the bottom 6.3% nationally
Lower is healthier
ST37thUS6thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Lack of transportation
14.2%
in the top 7.6% nationally
Lower is healthier
ST63rdUS92ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
27.6%
in the top 8.1% nationally
Lower is healthier
ST63rdUS92ndDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Diabetes
17.9%
in the top 8.4% nationally
Lower is healthier
ST56thUS92ndDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Utility shut-off threat
14.0%
in the top 8.8% nationally
Lower is healthier
ST64thUS91stDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
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 living in poverty
- Food insecurity
- Housing insecurity
- Chronic conditions
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
In overall standing, Lawrence, Mississippi (ZIP 39336) comes out in the bottom 18% nationally (26,181st) and the bottom 48% of Mississippi (212th).
The measures that shape daily life here come through in the data: fatal road crashes lies in the top 2.4% nationally, poverty sits in the top 4.1% nationally, and modeled high blood pressure settles in the top 5.5% nationally. Modeled transportation registers in the top 7.6% nationally, food insecurity stands in the top 8.1% nationally, and diabetes lands in the top 8.4% nationally. More encouragingly, modeled arsenic is in the bottom 2.5% nationally, and childcare resides in the top 3.8% nationally. Modeled binge drinking rests in the bottom 6.3% nationally. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs.
In plain terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The nearest healthier ZIP overall is ZIP 39327, just across the boundary. This ZIP further 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
Environmental Hazard
healthier than 83%
14%
About typical
Mental Health
healthier than 59%
8%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 21%
11%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 28%
5%
Lifting this score
Climate / Disaster Risk
healthier than 81%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Environmental Hazard
healthier than 58%
14%
Preventive Care
healthier than 44%
13%
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 41%
8%
Disability
healthier than 44%
7%
Holding it back
Social Need / SDOH
healthier than 38%
16%
Healthcare Access
healthier than 38%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 81.7; chronic-disease standing 18.2 — 64 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,483 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
39057
Mississippishares a border
Score 33.75
Closest healthier
39327
Mississippishares a border
Score 49.09
Similar health profile
39176
Mississippi99% similar profile
Score 33.86
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 | 32.0% | 28.5–35.7 |
| High blood pressure among adults | 48.3% | 43.8–52.7 |
| Cancer (non-skin) or melanoma among adults | 7.4% | 6.7–8.2 |
| Current asthma among adults | 10.5% | 9.2–11.9 |
| Coronary heart disease among adults | 8.5% | 7.6–9.4 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 8.9–11.5 |
| Depression among adults | 19.4% | 16.3–22.8 |
| Diagnosed diabetes among adults | 17.9% | 15.6–20.3 |
| High cholesterol among adults who have ever been screened | 39.2% | 34.9–43.7 |
| Obesity among adults | 43.8% | 35.5–51.9 |
| Stroke among adults | 5.3% | 4.8–5.8 |
| All teeth lost among adults aged >=65 years | 18.0% | 14.9–21.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.2% | 10.2–14.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.7% | 78.0–83.1 |
| Visits to doctor for routine checkup within the past year among adults | 82.0% | 78.5–84.9 |
| Cholesterol screening among adults | 85.8% | 83.7–87.7 |
| Colorectal cancer screening among adults aged 45–75 years | 61.2% | 56.0–66.3 |
| Visited dentist or dental clinic in the past year among adults | 8.8% | 7.6–10.3 |
| Mammography use among women aged 50-74 years | 72.8% | 64.9–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.9% | 9.6–14.6 |
| Current cigarette smoking among adults | 19.7% | 16.9–22.6 |
| No leisure-time physical activity among adults | 37.0% | 31.8–42.5 |
| Short sleep duration among adults | 38.9% | 32.7–45.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.9% | 24.5–31.5 |
| Frequent mental distress among adults | 18.4% | 16.2–20.6 |
| Frequent physical distress among adults | 16.3% | 14.3–18.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.2% | 16.9–21.6 |
| Any disability among adults | 41.2% | 36.3–46.1 |
| Hearing disability among adults | 8.6% | 7.6–9.7 |
| Independent living disability among adults | 12.0% | 10.6–13.4 |
| Mobility disability among adults | 21.8% | 19.1–24.6 |
| Self-care disability among adults | 6.4% | 5.7–7.1 |
| Vision disability among adults | 8.4% | 7.5–9.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.6% | 26.5–34.9 |
| Food insecurity in the past 12 months among adults | 27.6% | 23.8–31.3 |
| Received food stamps in the past 12 months among adults | 17.9% | 15.1–20.8 |
| Housing insecurity in the past 12 months among adults | 19.9% | 17.2–22.7 |
| Lack of reliable transportation in the past 12 months among adults | 14.2% | 12.5–16.0 |
| Loneliness among adults | 36.4% | 31.2–41.8 |
| Utility services shut-off threat in the past 12 months among adults | 14.0% | 12.2–15.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 36.0% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 20.0% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 11.6% | 7.9% (1.8–20.7%) n=32,505 | 14.4% (5.9–25.0%) n=411 |
| Bachelor's or higher (25+) | 8.6% | 23.3% (9.2–53.6%) n=32,505 | 18.0% (7.1–33.6%) n=411 |
| Unemployment rate (16+) | 6.0% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | 84.1% | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | 23.6% | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | 90.5% | 78.7% (51.7–94.0%) n=32,322 | 77.2% (49.8–91.7%) n=405 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–5.0%) n=405 |
| Foreign-born population | 2.2% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–4.4%) n=412 |
| Single-parent households | 70.4% | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 17.3% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 45.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.5 yr (30.5–49.6) n=411 |
| Median household income | $38,750 | $72,070 ($46,039–$118,707) n=30,318 | $50,353 ($32,100–$72,379) n=377 |
| Median home value | $57,000 | $222,200 ($100,300–$579,820) n=30,049 | $118,100 ($72,660–$219,420) n=374 |
| Median gross rent | $734 | $1,021 ($677–$1,912) n=25,670 | $827 ($532–$1,130) n=319 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 74.1 yr ± 0.88 | 78.9 yr (74.7–82.8) n=31,308 | 75.4 yr (72.7–79.0) n=405 |
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 0.88 years of 74.1, 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