Demographics details for Sunflower, MS vs Flomaton, AL
Population Overview
Compare main population characteristics in Sunflower, MS vs Flomaton, AL.
Data | Sunflower | Flomaton |
---|---|---|
Population | 24,811 | 1,458 |
Median Age | 36.7 years | 32.6 years |
Median Income | $37,403 | $37,500 |
Married Families | 25.0% | 35.0% |
Poverty Level | 23% | 15% |
Unemployment Rate | 5.3 | 5.2 |
Population Comparison: Sunflower vs Flomaton
- In Sunflower, the population is higher at 24,811, compared to 1,458 in Flomaton.
- Residents in Sunflower have a higher median age of 36.7 years compared to 32.6 years in Flomaton.
- Flomaton has a higher median income of $37,500, compared to $37,403 in Sunflower.
- In Flomaton, the percentage of married families is higher at 35.0%, compared to 25.0% in Sunflower.
- Sunflower has a higher poverty level at 23% compared to 15% in Flomaton.
- The unemployment rate in Sunflower is higher at 5.3%, compared to 5.2% in Flomaton.
Demographics
Demographics Sunflower vs Flomaton provide insight into the diversity of the communities to compare.
Demographic | Sunflower | Flomaton |
---|---|---|
Black | 77 | 38 |
White | 18 | 58 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 3 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sunflower vs Flomaton
- A higher percentage of Black residents are in Sunflower at 77% compared to 38% in Flomaton.
- The percentage of White residents is higher in Flomaton at 58% compared to 18% in Sunflower.
- Both Sunflower and Flomaton have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Sunflower at 2% compared to 0% in Flomaton.
- The percentage of residents identifying as two or more races is higher in Flomaton at 4%, compared to 3% in Sunflower.
- The percentage of American Indian residents is the same in both Sunflower and Flomaton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sunflower | Flomaton |
---|---|---|
Mental Health Not Good | 17.9% | 21.3% |
Physical Health Not Good | 15.0% | 15.3% |
Depression | 18.8% | 24.6% |
Smoking | 25.7% | 24.1% |
Binge Drinking | 12.7% | 13.7% |
Obesity | 50.9% | 45.3% |
Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Sunflower vs Flomaton
- In Flomaton, a higher percentage report poor mental health at 21.3% compared to 17.9% in Sunflower.
- Higher depression rates are seen in Flomaton at 24.6% versus 18.8% in Sunflower.
- Smoking is more prevalent in Sunflower at 25.7% compared to 24.1% in Flomaton.
- More residents engage in binge drinking in Flomaton at 13.7% compared to 12.7% in Sunflower.
- Obesity rates are higher in Sunflower at 50.9% compared to 45.3% in Flomaton.
- There is a higher percentage of disabled individuals in Flomaton at 19.0% compared to 14.0% in Sunflower.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sunflower | Flomaton |
---|---|---|
No Schooling | 1.6% (389) | 0.0% (Data is updating) |
High School Diploma | 16.4% (4,079) | 25.0% (364) |
Less than High School | 19.9% (4,937) | 19.1% (278) |
Bachelor's Degree and Higher | 12.3% (3,058) | 9.4% (137) |
Education Levels Comparison: Sunflower vs Flomaton
- A higher percentage of residents in Sunflower have no formal schooling at 1.6% compared to 0.0% in Flomaton.
- In Flomaton, the rate of residents with high school diplomas is higher at 25.0% compared to 16.4% in Sunflower.
- More residents in Sunflower have less than a high school education at 19.9% compared to 19.1% in Flomaton.
- A higher percentage of residents in Sunflower hold a bachelor's degree or higher at 12.3% compared to 9.4% in Flomaton.
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.