Demographics details for Southfield, MI vs Sanford, FL
Population Overview
Compare main population characteristics in Southfield, MI vs Sanford, FL.
| Data | Southfield | Sanford |
|---|---|---|
| Population | 75,431 | 63,154 |
| Median Age | 42.1 years | 35.6 years |
| Median Income | $63,980 | $59,181 |
| Married Families | 31.0% | 31.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 6.2 | 4.0 |
Population Comparison: Southfield vs Sanford
- In Southfield, the population is higher at 75,431, compared to 63,154 in Sanford.
- Residents in Southfield have a higher median age of 42.1 years compared to 35.6 years in Sanford.
- Southfield has a higher median income of $63,980 compared to $59,181 in Sanford.
- The percentage of married families is the same in both Southfield and Sanford at 31.0%.
- Southfield has a higher poverty level at 13% compared to 12% in Sanford.
- The unemployment rate in Southfield is higher at 6.2%, compared to 4.0% in Sanford.
Demographics
Demographics Southfield vs Sanford provide insight into the diversity of the communities to compare.
| Demographic | Southfield | Sanford |
|---|---|---|
| Black | 66 | 26 |
| White | 23 | 31 |
| Asian | 2 | 4 |
| Hispanic | 2 | 26 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southfield vs Sanford
- A higher percentage of Black residents are in Southfield at 66% compared to 26% in Sanford.
- The percentage of White residents is higher in Sanford at 31% compared to 23% in Southfield.
- In Sanford, the Asian population stands at 4%, greater than 2% in Southfield.
- Sanford has a higher percentage of Hispanic residents at 26%, compared to 2% in Southfield.
- The percentage of residents identifying as two or more races is higher in Sanford at 13%, compared to 7% in Southfield.
- The percentage of American Indian residents is the same in both Southfield and Sanford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southfield | Sanford |
|---|---|---|
| Mental Health Not Good | 15.4% | 16.5% |
| Physical Health Not Good | 9.9% | 12.1% |
| Depression | 17.6% | 18.9% |
| Smoking | 14.8% | 19.9% |
| Binge Drinking | 14.9% | 15.9% |
| Obesity | 38.1% | 34.4% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Southfield vs Sanford
- In Sanford, a higher percentage report poor mental health at 16.5% compared to 15.4% in Southfield.
- Higher depression rates are seen in Sanford at 18.9% versus 17.6% in Southfield.
- Sanford has a higher smoking rate at 19.9% compared to 14.8% in Southfield.
- More residents engage in binge drinking in Sanford at 15.9% compared to 14.9% in Southfield.
- Obesity rates are higher in Southfield at 38.1% compared to 34.4% in Sanford.
- Disability percentages are higher in Southfield at 17.0% compared to 11.0% in Sanford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southfield | Sanford |
|---|---|---|
| No Schooling | 1.2% (870) | 0.6% (389) |
| High School Diploma | 12.0% (9,038) | 19.0% (11,984) |
| Less than High School | 6.1% (4,623) | 11.1% (7,010) |
| Bachelor's Degree and Higher | 27.5% (20,760) | 16.9% (10,683) |
Education Levels Comparison: Southfield vs Sanford
- A higher percentage of residents in Southfield have no formal schooling at 1.2% compared to 0.6% in Sanford.
- In Sanford, the rate of residents with high school diplomas is higher at 19.0% compared to 12.0% in Southfield.
- The percentage of residents with less than a high school education is higher in Sanford at 11.1%, compared to 6.1% in Southfield.
- A higher percentage of residents in Southfield hold a bachelor's degree or higher at 27.5% compared to 16.9% in Sanford.
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.