Demographics details for Vicksburg, MS vs Valley, AL
Population Overview
Compare main population characteristics in Vicksburg, MS vs Valley, AL.
| Data | Vicksburg | Valley |
|---|---|---|
| Population | 20,391 | 10,323 |
| Median Age | 37.6 years | 32.5 years |
| Median Income | $45,147 | $54,237 |
| Married Families | 26.0% | 30.0% |
| Poverty Level | 24% | 14% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Vicksburg vs Valley
- In Vicksburg, the population is higher at 20,391, compared to 10,323 in Valley.
- Residents in Vicksburg have a higher median age of 37.6 years compared to 32.5 years in Valley.
- Valley has a higher median income of $54,237, compared to $45,147 in Vicksburg.
- In Valley, the percentage of married families is higher at 30.0%, compared to 26.0% in Vicksburg.
- Vicksburg has a higher poverty level at 24% compared to 14% in Valley.
- The unemployment rate in Vicksburg is higher at 4.5%, compared to 3.2% in Valley.
Demographics
Demographics Vicksburg vs Valley provide insight into the diversity of the communities to compare.
| Demographic | Vicksburg | Valley |
|---|---|---|
| Black | 72 | 39 |
| White | 22 | 56 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Vicksburg vs Valley
- A higher percentage of Black residents are in Vicksburg at 72% compared to 39% in Valley.
- The percentage of White residents is higher in Valley at 56% compared to 22% in Vicksburg.
- Both Vicksburg and Valley have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Vicksburg and Valley at 3%.
- More residents identify as two or more races in Vicksburg at 3% compared to 2% in Valley.
- The percentage of American Indian residents is the same in both Vicksburg and Valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vicksburg | Valley |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.5% |
| Physical Health Not Good | 14.4% | 13.6% |
| Depression | 20.6% | 23.5% |
| Smoking | 23.2% | 20.1% |
| Binge Drinking | 11.5% | 14.3% |
| Obesity | 46.1% | 42.9% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Vicksburg vs Valley
- In Valley, a higher percentage report poor mental health at 19.5% compared to 17.9% in Vicksburg.
- Higher depression rates are seen in Valley at 23.5% versus 20.6% in Vicksburg.
- Smoking is more prevalent in Vicksburg at 23.2% compared to 20.1% in Valley.
- More residents engage in binge drinking in Valley at 14.3% compared to 11.5% in Vicksburg.
- Obesity rates are higher in Vicksburg at 46.1% compared to 42.9% in Valley.
- Disability percentages are higher in Vicksburg at 20.0% compared to 16.0% in Valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vicksburg | Valley |
|---|---|---|
| No Schooling | 1.0% (214) | 2.4% (252) |
| High School Diploma | 14.8% (3,028) | 22.3% (2,302) |
| Less than High School | 11.8% (2,397) | 14.2% (1,467) |
| Bachelor's Degree and Higher | 17.7% (3,605) | 9.3% (956) |
Education Levels Comparison: Vicksburg vs Valley
- In Valley, a larger percentage of residents lack formal schooling at 2.4% compared to 1.0% in Vicksburg.
- In Valley, the rate of residents with high school diplomas is higher at 22.3% compared to 14.8% in Vicksburg.
- The percentage of residents with less than a high school education is higher in Valley at 14.2%, compared to 11.8% in Vicksburg.
- A higher percentage of residents in Vicksburg hold a bachelor's degree or higher at 17.7% compared to 9.3% in Valley.
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.