ZIP code
39358
in Scooba, MississippiPopulation 1,174
40.79/ 100
Ranked #26,196 of 32,066 US ZIPs (bottom 18%)
Ranked #213 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.
Loneliness
43.3%
in the top 1.1% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Arsenic in groundwater
0.95%
in the bottom 1.3% nationally
Lower is healthier
ST3rdUS1stDefinition & 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
22.6%
in the top 3.0% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›PFAS in drinking water
5.9%
in the bottom 1.9% nationally
Lower is healthier
ST9thUS2ndDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Tooth loss
27.9%
in the top 4.5% nationally
Lower is healthier
ST80thUS96thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Lack of transportation
18.7%
in the top 2.9% nationally
Lower is healthier
ST83rdUS97thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Independent-living disability
13.4%
in the top 5.5% nationally
Lower is healthier
ST74thUS95thDefinition & 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 ›Food insecurity
33.3%
in the top 4.3% nationally
Lower is healthier
ST78thUS96thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Housing insecurity
23%
in the top 5.6% nationally
Lower is healthier
ST74thUS94thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Fatal road crashes
42.6 per 100,000 residents per year
in the top 6.0% nationally
Lower is healthier
ST84thUS94thDefinition & 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 ›The read
Overall, Scooba, Mississippi (ZIP 39358) places in the bottom 18% nationally (26,196th) and the bottom 48% of Mississippi (213th).
The measures that matter most for this area lead the way: modeled loneliness lies in the top 1.1% nationally, and cognitive disability rests in the top 3.0% nationally. Modeled tooth loss resides in the top 4.5% nationally, and transportation is in the top 2.9% nationally. Modeled independent living disability lands in the top 5.5% nationally, food insecurity stands in the top 4.3% nationally, and housing insecurity registers in the top 5.6% nationally. Fatal road crashes settles in the top 6.0% nationally. On the better side, modeled arsenic sits in the bottom 1.3% nationally, and pfas lies in the bottom 1.9% nationally.
For readers new to these terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Among nearby ZIPs, the nearest healthier one overall is ZIP 35470, 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.
Lifting this score
Environmental Hazard
healthier than 89%
14%
About typical
Chronic Disease Burden
healthier than 42%
21%
Healthcare Access
healthier than 52%
5%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 25%
11%
Mental Health
healthier than 38%
8%
Disability
healthier than 11%
7%
Climate / Disaster Risk
healthier than 27%
5%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Environmental Hazard
healthier than 74%
14%
Climate / Disaster Risk
healthier than 77%
5%
About typical
Risk Behavior
healthier than 56%
11%
Disability
healthier than 45%
7%
Healthcare Access
healthier than 46%
5%
Holding it back
Social Need / SDOH
healthier than 26%
16%
Preventive Care
healthier than 5%
13%
Mental Health
healthier than 7%
8%
“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
35459
Alabamashares a border
Score 29.89
Closest healthier
35470
Alabamashares a border
Score 41.50
Similar health profile
92281
California98% similar profile
Score 27.07
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 | 24.5% | 21.7–27.4 |
| High blood pressure among adults | 42.0% | 37.8–46.2 |
| Cancer (non-skin) or melanoma among adults | 4.9% | 4.4–5.5 |
| Current asthma among adults | 11.1% | 9.7–12.6 |
| Coronary heart disease among adults | 6.6% | 5.9–7.4 |
| Chronic obstructive pulmonary disease among adults | 8.3% | 7.2–9.5 |
| Depression among adults | 19.3% | 16.1–22.9 |
| Diagnosed diabetes among adults | 14.9% | 13.1–16.9 |
| High cholesterol among adults who have ever been screened | 33.5% | 29.5–37.5 |
| Obesity among adults | 42.6% | 33.8–51.7 |
| Stroke among adults | 4.5% | 4.1–5.0 |
| All teeth lost among adults aged >=65 years | 27.9% | 23.3–32.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.8% | 10.5–18.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.1% | 71.9–76.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.3% | 76.8–83.7 |
| Cholesterol screening among adults | 79.0% | 75.0–82.3 |
| Colorectal cancer screening among adults aged 45–75 years | 61.1% | 55.5–66.4 |
| Visited dentist or dental clinic in the past year among adults | 7.7% | 6.4–9.0 |
| Mammography use among women aged 50-74 years | 73.1% | 64.9–80.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.9% | 10.4–15.8 |
| Current cigarette smoking among adults | 16.9% | 14.2–20.0 |
| No leisure-time physical activity among adults | 36.9% | 31.0–43.3 |
| Short sleep duration among adults | 38.7% | 31.9–45.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.9% | 23.9–32.7 |
| Frequent mental distress among adults | 20.9% | 18.1–23.9 |
| Frequent physical distress among adults | 14.7% | 12.8–16.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.6% | 19.1–26.6 |
| Any disability among adults | 42.9% | 37.1–49.2 |
| Hearing disability among adults | 6.6% | 5.9–7.6 |
| Independent living disability among adults | 13.4% | 11.3–15.7 |
| Mobility disability among adults | 18.5% | 16.2–21.0 |
| Self-care disability among adults | 6.0% | 5.3–6.8 |
| Vision disability among adults | 9.0% | 7.8–10.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 34.5% | 29.5–40.3 |
| Food insecurity in the past 12 months among adults | 33.3% | 26.7–40.1 |
| Received food stamps in the past 12 months among adults | 21.2% | 16.7–26.2 |
| Housing insecurity in the past 12 months among adults | 23.0% | 18.8–27.5 |
| Lack of reliable transportation in the past 12 months among adults | 18.7% | 15.4–22.5 |
| Loneliness among adults | 43.3% | 37.4–49.9 |
| Utility services shut-off threat in the past 12 months among adults | 15.7% | 13.2–18.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 24.4% | 10.6% (3.1–25.8%) n=32,364 | 19.9% (8.3–37.0%) n=406 |
| Uninsured 18–64 | 15.8% | 9.0% (1.5–24.3%) n=32,286 | 16.8% (8.1–29.3%) n=410 |
| No HS diploma (25+) | 17.6% | 7.9% (1.8–20.7%) n=32,505 | 14.4% (5.9–25.0%) n=411 |
| Bachelor's or higher (25+) | 23.3% | 23.3% (9.2–53.6%) n=32,505 | 18.0% (7.1–33.6%) n=411 |
| Unemployment rate (16+) | 5.4% | 3.9% (0.0–9.8%) n=32,274 | 4.8% (0.0–14.2%) n=411 |
| Households without a vehicle | 6.6% | 3.9% (0.0–12.5%) n=32,322 | 5.5% (0.0–13.9%) n=405 |
| Broadband subscription | 80.6% | 89.3% (75.1–97.1%) n=32,322 | 79.7% (62.7–93.0%) n=405 |
| Housing cost burden (≥30% income) | 27.8% | 23.7% (10.6–40.0%) n=32,322 | 22.7% (9.7–36.0%) n=405 |
| Homeownership rate | 61.5% | 78.7% (51.7–94.0%) n=32,322 | 77.2% (49.8–91.7%) n=405 |
| Crowded housing (>1 per room) | 4.2% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–5.0%) n=405 |
| Foreign-born population | 0.5% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–4.4%) n=412 |
| Single-parent households | 55.6% | 53.6% (37.3–74.1%) n=32,087 | 46.9% (29.2–61.4%) n=404 |
| Population 65+ | 13.3% | 19.4% (10.8–33.6%) n=32,553 | 17.8% (11.7–26.2%) n=412 |
| Median age | 22.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.5 yr (30.5–49.6) n=411 |
| Median household income | $51,786 | $72,070 ($46,039–$118,707) n=30,318 | $50,353 ($32,100–$72,379) n=377 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $118,100 ($72,660–$219,420) n=374 |
| Median gross rent | $845 | $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 | 79.5 yr ± 1.65 | 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 1.65 years of 79.5, 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