Demographics details for Marshall, AR vs Vicksburg, MS
Population Overview
Compare main population characteristics in Marshall, AR vs Vicksburg, MS.
| Data | Marshall | Vicksburg |
|---|---|---|
| Population | 1,339 | 20,391 |
| Median Age | 52.3 years | 37.6 years |
| Median Income | $28,290 | $45,147 |
| Married Families | 33.0% | 26.0% |
| Poverty Level | 16% | 24% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Marshall vs Vicksburg
- The population in Vicksburg is higher at 20,391, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 37.6 years in Vicksburg.
- Vicksburg has a higher median income of $45,147, compared to $28,290 in Marshall.
- A higher percentage of married families is found in Marshall at 33.0% compared to 26.0% in Vicksburg.
- The poverty level is higher in Vicksburg at 24%, compared to 16% in Marshall.
- Vicksburg has a higher unemployment rate at 4.5% compared to 4.2% in Marshall.
Demographics
Demographics Marshall vs Vicksburg provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Vicksburg |
|---|---|---|
| Black | Data is updating | 72 |
| White | 84 | 22 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 12 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Marshall vs Vicksburg
- In Vicksburg, the percentage of Black residents is higher at 72% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 84% compared to 22% in Vicksburg.
- Both Marshall and Vicksburg have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Marshall and Vicksburg at 3%.
- More residents identify as two or more races in Marshall at 12% compared to 3% in Vicksburg.
- A greater percentage of American Indian residents live in Marshall at 1% compared to 0% in Vicksburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Vicksburg |
|---|---|---|
| Mental Health Not Good | 21.7% | 17.9% |
| Physical Health Not Good | 16.2% | 14.4% |
| Depression | 29.8% | 20.6% |
| Smoking | 27.2% | 23.2% |
| Binge Drinking | 14.7% | 11.5% |
| Obesity | 39.2% | 46.1% |
| Disability Percentage | 30.0% | 20.0% |
Health Statistics Comparison: Marshall vs Vicksburg
- More residents in Marshall report poor mental health at 21.7% compared to 17.9% in Vicksburg.
- Depression is more prevalent in Marshall at 29.8% compared to 20.6% in Vicksburg.
- Smoking is more prevalent in Marshall at 27.2% compared to 23.2% in Vicksburg.
- Binge drinking is more common in Marshall at 14.7% compared to 11.5% in Vicksburg.
- Vicksburg has higher obesity rates at 46.1% compared to 39.2% in Marshall.
- Disability percentages are higher in Marshall at 30.0% compared to 20.0% in Vicksburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Vicksburg |
|---|---|---|
| No Schooling | 0.9% (12) | 1.0% (214) |
| High School Diploma | 27.9% (373) | 14.8% (3,028) |
| Less than High School | 32.4% (434) | 11.8% (2,397) |
| Bachelor's Degree and Higher | 11.7% (156) | 17.7% (3,605) |
Education Levels Comparison: Marshall vs Vicksburg
- In Vicksburg, a larger percentage of residents lack formal schooling at 1.0% compared to 0.9% in Marshall.
- A higher percentage of residents in Marshall hold a high school diploma at 27.9% compared to 14.8% in Vicksburg.
- More residents in Marshall have less than a high school education at 32.4% compared to 11.8% in Vicksburg.
- In Vicksburg, a larger share of residents have a bachelor's degree or higher at 17.7% compared to 11.7% in Marshall.
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.