Demographics details for Southaven, MS vs Rising star, TX
Population Overview
Compare main population characteristics in Southaven, MS vs Rising star, TX.
Data | Southaven | Rising star |
---|---|---|
Population | 56,360 | 765 |
Median Age | 35.4 years | 44.1 years |
Median Income | $72,513 | $32,697 |
Married Families | 37.0% | 22.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Southaven vs Rising star
- In Southaven, the population is higher at 56,360, compared to 765 in Rising star.
- The median age in Rising star is higher at 44.1 years, compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513 compared to $32,697 in Rising star.
- A higher percentage of married families is found in Southaven at 37.0% compared to 22.0% in Rising star.
- Southaven has a higher poverty level at 12% compared to 10% in Rising star.
- The unemployment rate is the same in both Southaven and Rising star at 3.2%.
Demographics
Demographics Southaven vs Rising star provide insight into the diversity of the communities to compare.
Demographic | Southaven | Rising star |
---|---|---|
Black | 35 | Data is updating |
White | 55 | 76 |
Asian | 1 | Data is updating |
Hispanic | 5 | 18 |
Two or More Races | 4 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Southaven vs Rising star
- A higher percentage of Black residents are in Southaven at 35% compared to 0% in Rising star.
- The percentage of White residents is higher in Rising star at 76% compared to 55% in Southaven.
- The Asian population is larger in Southaven at 1% compared to 0% in Rising star.
- Rising star has a higher percentage of Hispanic residents at 18%, compared to 5% in Southaven.
- The percentage of residents identifying as two or more races is higher in Rising star at 6%, compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Southaven and Rising star at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Southaven | Rising star |
---|---|---|
Mental Health Not Good | 15.6% | 19.3% |
Physical Health Not Good | 10.9% | 13.0% |
Depression | 22.9% | 26.6% |
Smoking | 16.7% | 20.2% |
Binge Drinking | 14.1% | 18.7% |
Obesity | 39.7% | 37.0% |
Disability Percentage | 10.0% | 21.0% |
Health Statistics Comparison: Southaven vs Rising star
- In Rising star, a higher percentage report poor mental health at 19.3% compared to 15.6% in Southaven.
- Higher depression rates are seen in Rising star at 26.6% versus 22.9% in Southaven.
- Rising star has a higher smoking rate at 20.2% compared to 16.7% in Southaven.
- More residents engage in binge drinking in Rising star at 18.7% compared to 14.1% in Southaven.
- Obesity rates are higher in Southaven at 39.7% compared to 37.0% in Rising star.
- There is a higher percentage of disabled individuals in Rising star at 21.0% compared to 10.0% in Southaven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Southaven | Rising star |
---|---|---|
No Schooling | 1.2% (658) | 1.4% (11) |
High School Diploma | 15.8% (8,925) | 14.4% (110) |
Less than High School | 8.7% (4,879) | 25.1% (192) |
Bachelor's Degree and Higher | 16.0% (9,035) | 2.0% (15) |
Education Levels Comparison: Southaven vs Rising star
- In Rising star, a larger percentage of residents lack formal schooling at 1.4% compared to 1.2% in Southaven.
- A higher percentage of residents in Southaven hold a high school diploma at 15.8% compared to 14.4% in Rising star.
- The percentage of residents with less than a high school education is higher in Rising star at 25.1%, compared to 8.7% in Southaven.
- A higher percentage of residents in Southaven hold a bachelor's degree or higher at 16.0% compared to 2.0% in Rising star.
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.