Skip to main content
ZipVitals

ZIP code

39169

in Tchula, MississippiPopulation 2,565

27.63/ 100

Ranked #31,155 of 32,066 US ZIPs (bottom 2.9%)

Ranked #371 of 406 Mississippi ZIPs (bottom 8.7%)

Ranked #57 of 59 Jackson, MS ZIPs (bottom 3.4%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Self-care disability

10.1%

in the top 0.6% nationally

Lower is healthier

ST93rd
US99th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Vision disability

13.0%

in the top 1.3% nationally

Lower is healthier

ST92nd
US99th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Diabetes

24.6%

in the top 0.5% nationally

Lower is healthier

ST94th
US99th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Stroke

7.2%

in the top 1.0% nationally

Lower is healthier

ST91st
US99th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

High blood pressure

57.4%

in the top 0.4% nationally

Lower is healthier

ST93rd
US99th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Obesity

52.7%

in the top 0.2% nationally

Lower is healthier

ST97th
US99th
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Independent-living disability

15.9%

in the top 1.7% nationally

Lower is healthier

ST91st
US98th
Definition & 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 ›

Mobility disability

28%

in the top 1.2% nationally

Lower is healthier

ST89th
US99th
Definition & source ›

The estimated share of adults with serious difficulty walking or climbing stairs.

Full methodology ›

Fair or poor health

36.5%

in the top 1.8% nationally

Lower is healthier

ST92nd
US98th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Binge drinking

9.1%

in the bottom 0.5% nationally

Lower is healthier

ST5th
US1st
Definition & 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 ›

Cross-source signals

Combined exposures in this ZIP

More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.

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
  • Adults reporting fair or poor health
  • Chronic conditions

Barriers to reaching care

  • Thin local supply of doctors
  • Thin local supply of pharmacies
  • Households with no vehicle

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, Tchula, Mississippi (ZIP 39169) comes out in the bottom 2.9% nationally (31,155th) and the bottom 8.7% of Mississippi (371st).

continue reading

The profile opens on the readings that matter most locally: modeled self-care disability lies in the top 0.6% nationally, vision disability sits in the top 1.3% nationally, and diabetes settles in the top 0.5% nationally. Modeled stroke registers in the top 1.0% nationally, high blood pressure stands in the top 0.4% nationally, and obesity lands in the top 0.2% nationally. Modeled independent living disability is in the top 1.7% nationally, and mobility disability resides in the top 1.2% nationally. Modeled fair or poor health rests in the top 1.8% nationally. More positively, modeled binge drinking lies in the bottom 0.5% nationally.

The nearest healthier ZIP overall is ZIP 38924, 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. Compare it against the US, this state and the Jackson, MS metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Mental Health

healthier than 63%

8%

About typical

Environmental Hazard

healthier than 44%

14%

Healthcare Access

healthier than 54%

5%

Holding it back

Chronic Disease Burden

healthier than 3%

21%

Social Need / SDOH

healthier than 1%

16%

Preventive Care

healthier than 23%

13%

Risk Behavior

healthier than 4%

11%

Disability

healthier than 2%

7%

Climate / Disaster Risk

healthier than 1%

5%

Lifting this score

Preventive Care

healthier than 62%

13%

About typical

Mental Health

healthier than 51%

8%

Healthcare Access

healthier than 48%

5%

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

healthier than 14%

14%

Risk Behavior

healthier than 10%

11%

Disability

healthier than 13%

7%

Climate / Disaster Risk

healthier than 6%

5%

Nothing measured is lifting this score.

About typical

Preventive Care

healthier than 41%

13%

Holding it back

Chronic Disease Burden

healthier than 12%

21%

Social Need / SDOH

healthier than 5%

16%

Environmental Hazard

healthier than 38%

14%

Risk Behavior

healthier than 12%

11%

Mental Health

healthier than 31%

8%

Disability

healthier than 10%

7%

Climate / Disaster Risk

healthier than 5%

5%

Healthcare Access

healthier than 29%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults34.8%31.2–38.6
High blood pressure among adults57.4%52.9–61.7
Cancer (non-skin) or melanoma among adults5.4%4.8–6.0
Current asthma among adults11.8%10.4–13.4
Coronary heart disease among adults9.2%8.2–10.3
Chronic obstructive pulmonary disease among adults11.6%10.1–13.5
Depression among adults17.4%14.4–20.6
Diagnosed diabetes among adults24.6%21.7–27.6
High cholesterol among adults who have ever been screened39.8%35.3–44.3
Obesity among adults52.7%44.2–60.8
Stroke among adults7.2%6.5–8.1
All teeth lost among adults aged >=65 years27.5%23.0–32.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years15.0%11.7–18.6
Taking medicine to control high blood pressure among adults with high blood pressure82.2%80.0–84.4
Visits to doctor for routine checkup within the past year among adults85.2%82.2–87.9
Cholesterol screening among adults85.5%83.2–87.7
Colorectal cancer screening among adults aged 45–75 years60.2%54.8–66.0
Visited dentist or dental clinic in the past year among adults5.6%4.6–6.6
Mammography use among women aged 50-74 years75.3%67.6–83.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults9.1%7.3–11.3
Current cigarette smoking among adults23.2%19.5–27.1
No leisure-time physical activity among adults46.0%40.1–52.3
Short sleep duration among adults45.0%37.6–53.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults36.5%31.9–41.0
Frequent mental distress among adults19.4%17.0–21.9
Frequent physical distress among adults18.3%16.1–20.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults21.9%18.9–25.0
Any disability among adults46.6%41.4–52.1
Hearing disability among adults7.5%6.6–8.6
Independent living disability among adults15.9%13.8–18.2
Mobility disability among adults28.0%24.6–31.5
Self-care disability among adults10.1%8.9–11.6
Vision disability among adults13.0%11.5–14.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults37.5%32.5–42.4
Food insecurity in the past 12 months among adults43.8%38.3–49.2
Received food stamps in the past 12 months among adults35.1%29.9–40.4
Housing insecurity in the past 12 months among adults32.0%27.6–36.2
Lack of reliable transportation in the past 12 months among adults22.6%19.6–25.7
Loneliness among adults43.1%37.2–48.7
Utility services shut-off threat in the past 12 months among adults24.8%21.4–28.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MS median (p10–p90)
Poverty rate48.3%10.6% (3.1–25.8%) n=32,36419.9% (8.3–37.0%) n=406
Uninsured 18–6412.5%9.0% (1.5–24.3%) n=32,28616.8% (8.1–29.3%) n=410
No HS diploma (25+)13.4%7.9% (1.8–20.7%) n=32,50514.4% (5.9–25.0%) n=411
Bachelor's or higher (25+)17.8%23.3% (9.2–53.6%) n=32,50518.0% (7.1–33.6%) n=411
Unemployment rate (16+)20.0%3.9% (0.0–9.8%) n=32,2744.8% (0.0–14.2%) n=411
Households without a vehicle16.1%3.9% (0.0–12.5%) n=32,3225.5% (0.0–13.9%) n=405
Broadband subscription61.3%89.3% (75.1–97.1%) n=32,32279.7% (62.7–93.0%) n=405
Housing cost burden (≥30% income)35.9%23.7% (10.6–40.0%) n=32,32222.7% (9.7–36.0%) n=405
Homeownership rate54.2%78.7% (51.7–94.0%) n=32,32277.2% (49.8–91.7%) n=405
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3221.4% (0.0–5.0%) n=405
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.6% (0.0–4.4%) n=412
Single-parent households16.6%53.6% (37.3–74.1%) n=32,08746.9% (29.2–61.4%) n=404
Population 65+10.7%19.4% (10.8–33.6%) n=32,55317.8% (11.7–26.2%) n=412
Median age32.4 yr42.2 yr (33.0–56.3) n=32,29239.5 yr (30.5–49.6) n=411
Median household income$36,231$72,070 ($46,039–$118,707) n=30,318$50,353 ($32,100–$72,379) n=377
Median home value$48,200$222,200 ($100,300–$579,820) n=30,049$118,100 ($72,660–$219,420) n=374
Median gross rent$538$1,021 ($677–$1,912) n=25,670$827 ($532–$1,130) n=319
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MS median (p10–p90)
Life expectancy at birth73.5 yr ± 1.3878.9 yr (74.7–82.8) n=31,30875.4 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 1.38 years of 73.5, and it’s very unlikely to be off by more than twice that.

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