Demographics details for Picayune, MS vs Marshall, TX
Population Overview
Compare main population characteristics in Picayune, MS vs Marshall, TX.
| Data | Picayune | Marshall |
|---|---|---|
| Population | 11,826 | 23,641 |
| Median Age | 38.3 years | 34.1 years |
| Median Income | $35,649 | $49,162 |
| Married Families | 27.0% | 27.0% |
| Poverty Level | 21% | 17% |
| Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Picayune vs Marshall
- The population in Marshall is higher at 23,641, compared to 11,826 in Picayune.
- Residents in Picayune have a higher median age of 38.3 years compared to 34.1 years in Marshall.
- Marshall has a higher median income of $49,162, compared to $35,649 in Picayune.
- The percentage of married families is the same in both Picayune and Marshall at 27.0%.
- Picayune has a higher poverty level at 21% compared to 17% in Marshall.
- Marshall has a higher unemployment rate at 5.1% compared to 4.5% in Picayune.
Demographics
Demographics Picayune vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Picayune | Marshall |
|---|---|---|
| Black | 38 | 40 |
| White | 55 | 28 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 20 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Picayune vs Marshall
- In Marshall, the percentage of Black residents is higher at 40% compared to 38% in Picayune.
- Picayune has a higher percentage of White residents at 55% compared to 28% in Marshall.
- In Marshall, the Asian population stands at 1%, greater than 0% in Picayune.
- Marshall has a higher percentage of Hispanic residents at 20%, compared to 2% in Picayune.
- The percentage of residents identifying as two or more races is higher in Marshall at 11%, compared to 5% in Picayune.
- The percentage of American Indian residents is the same in both Picayune and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Picayune | Marshall |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.2% |
| Physical Health Not Good | 14.3% | 13.8% |
| Depression | 24.0% | 22.7% |
| Smoking | 23.3% | 21.0% |
| Binge Drinking | 13.3% | 16.2% |
| Obesity | 44.0% | 42.0% |
| Disability Percentage | 21.0% | 17.0% |
Health Statistics Comparison: Picayune vs Marshall
- In Marshall, a higher percentage report poor mental health at 19.2% compared to 18.4% in Picayune.
- Depression is more prevalent in Picayune at 24.0% compared to 22.7% in Marshall.
- Smoking is more prevalent in Picayune at 23.3% compared to 21.0% in Marshall.
- More residents engage in binge drinking in Marshall at 16.2% compared to 13.3% in Picayune.
- Obesity rates are higher in Picayune at 44.0% compared to 42.0% in Marshall.
- Disability percentages are higher in Picayune at 21.0% compared to 17.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Picayune | Marshall |
|---|---|---|
| No Schooling | 0.6% (73) | 0.8% (195) |
| High School Diploma | 17.8% (2,108) | 18.7% (4,412) |
| Less than High School | 11.8% (1,392) | 10.7% (2,527) |
| Bachelor's Degree and Higher | 10.1% (1,200) | 13.2% (3,127) |
Education Levels Comparison: Picayune vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.8% compared to 0.6% in Picayune.
- In Marshall, the rate of residents with high school diplomas is higher at 18.7% compared to 17.8% in Picayune.
- More residents in Picayune have less than a high school education at 11.8% compared to 10.7% in Marshall.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 10.1% in Picayune.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.