Demographics details for Bedford, NY vs Southaven, MS
Population Overview
Compare main population characteristics in Bedford, NY vs Southaven, MS.
Data | Bedford | Southaven |
---|---|---|
Population | 17,335 | 56,360 |
Median Age | 43.0 years | 35.4 years |
Median Income | $173,000 | $72,513 |
Married Families | 0.78% | 37.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 0.03 | 3.2 |
Population Comparison: Bedford vs Southaven
- The population in Southaven is higher at 56,360, compared to 17,335 in Bedford.
- Residents in Bedford have a higher median age of 43.0 years compared to 35.4 years in Southaven.
- Bedford has a higher median income of $173,000 compared to $72,513 in Southaven.
- In Southaven, the percentage of married families is higher at 37.0%, compared to 0.78% in Bedford.
- The poverty level is higher in Southaven at 12%, compared to 0% in Bedford.
- Southaven has a higher unemployment rate at 3.2% compared to 0.03% in Bedford.
Demographics
Demographics Bedford vs Southaven provide insight into the diversity of the communities to compare.
Demographic | Bedford | Southaven |
---|---|---|
Black | 2 | 35 |
White | 91 | 55 |
Asian | 3 | 1 |
Hispanic | 2 | 5 |
Two or More Races | 2 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bedford vs Southaven
- In Southaven, the percentage of Black residents is higher at 35% compared to 2% in Bedford.
- Bedford has a higher percentage of White residents at 91% compared to 55% in Southaven.
- The Asian population is larger in Bedford at 3% compared to 1% in Southaven.
- Southaven has a higher percentage of Hispanic residents at 5%, compared to 2% in Bedford.
- The percentage of residents identifying as two or more races is higher in Southaven at 4%, compared to 2% in Bedford.
- The percentage of American Indian residents is the same in both Bedford and Southaven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bedford | Southaven |
---|---|---|
Mental Health Not Good | Data is updating% | 15.6% |
Physical Health Not Good | Data is updating% | 10.9% |
Depression | Data is updating% | 22.9% |
Smoking | Data is updating% | 16.7% |
Binge Drinking | Data is updating% | 14.1% |
Obesity | Data is updating% | 39.7% |
Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Bedford vs Southaven
- In Southaven, a higher percentage report poor mental health at 15.6% compared to 0.0% in Bedford.
- Higher depression rates are seen in Southaven at 22.9% versus 0.0% in Bedford.
- Southaven has a higher smoking rate at 16.7% compared to 0.0% in Bedford.
- More residents engage in binge drinking in Southaven at 14.1% compared to 0.0% in Bedford.
- Southaven has higher obesity rates at 39.7% compared to 0.0% in Bedford.
- There is a higher percentage of disabled individuals in Southaven at 10.0% compared to 0.0% in Bedford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bedford | Southaven |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (658) |
High School Diploma | 0.0% (Data is updating) | 15.8% (8,925) |
Less than High School | 0.0% (Data is updating) | 8.7% (4,879) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.0% (9,035) |
Education Levels Comparison: Bedford vs Southaven
- In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Bedford.
- In Southaven, the rate of residents with high school diplomas is higher at 15.8% compared to 0.0% in Bedford.
- The percentage of residents with less than a high school education is higher in Southaven at 8.7%, compared to 0.0% in Bedford.
- In Southaven, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 0.0% in Bedford.
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.