Demographics details for Cross city, FL vs Southfield, MI
Population Overview
Compare main population characteristics in Cross city, FL vs Southfield, MI.
| Data | Cross city | Southfield |
|---|---|---|
| Population | 1,754 | 75,431 |
| Median Age | 40.2 years | 42.1 years |
| Median Income | $44,500 | $63,980 |
| Married Families | 47.0% | 31.0% |
| Poverty Level | 18% | 13% |
| Unemployment Rate | 3.5 | 6.2 |
Population Comparison: Cross city vs Southfield
- The population in Southfield is higher at 75,431, compared to 1,754 in Cross city.
- The median age in Southfield is higher at 42.1 years, compared to 40.2 years in Cross city.
- Southfield has a higher median income of $63,980, compared to $44,500 in Cross city.
- A higher percentage of married families is found in Cross city at 47.0% compared to 31.0% in Southfield.
- Cross city has a higher poverty level at 18% compared to 13% in Southfield.
- Southfield has a higher unemployment rate at 6.2% compared to 3.5% in Cross city.
Demographics
Demographics Cross city vs Southfield provide insight into the diversity of the communities to compare.
| Demographic | Cross city | Southfield |
|---|---|---|
| Black | 20 | 66 |
| White | 61 | 23 |
| Asian | 2 | 2 |
| Hispanic | 9 | 2 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross city vs Southfield
- In Southfield, the percentage of Black residents is higher at 66% compared to 20% in Cross city.
- Cross city has a higher percentage of White residents at 61% compared to 23% in Southfield.
- Both Cross city and Southfield have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Cross city at 9% compared to 2% in Southfield.
- More residents identify as two or more races in Cross city at 8% compared to 7% in Southfield.
- The percentage of American Indian residents is the same in both Cross city and Southfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cross city | Southfield |
|---|---|---|
| Mental Health Not Good | 20.0% | 15.4% |
| Physical Health Not Good | 15.8% | 9.9% |
| Depression | 23.8% | 17.6% |
| Smoking | 29.1% | 14.8% |
| Binge Drinking | 14.8% | 14.9% |
| Obesity | 40.8% | 38.1% |
| Disability Percentage | 32.0% | 17.0% |
Health Statistics Comparison: Cross city vs Southfield
- More residents in Cross city report poor mental health at 20.0% compared to 15.4% in Southfield.
- Depression is more prevalent in Cross city at 23.8% compared to 17.6% in Southfield.
- Smoking is more prevalent in Cross city at 29.1% compared to 14.8% in Southfield.
- More residents engage in binge drinking in Southfield at 14.9% compared to 14.8% in Cross city.
- Obesity rates are higher in Cross city at 40.8% compared to 38.1% in Southfield.
- Disability percentages are higher in Cross city at 32.0% compared to 17.0% in Southfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cross city | Southfield |
|---|---|---|
| No Schooling | 0.9% (15) | 1.2% (870) |
| High School Diploma | 39.2% (688) | 12.0% (9,038) |
| Less than High School | 11.7% (205) | 6.1% (4,623) |
| Bachelor's Degree and Higher | 7.8% (136) | 27.5% (20,760) |
Education Levels Comparison: Cross city vs Southfield
- In Southfield, a larger percentage of residents lack formal schooling at 1.2% compared to 0.9% in Cross city.
- A higher percentage of residents in Cross city hold a high school diploma at 39.2% compared to 12.0% in Southfield.
- More residents in Cross city have less than a high school education at 11.7% compared to 6.1% in Southfield.
- In Southfield, a larger share of residents have a bachelor's degree or higher at 27.5% compared to 7.8% in Cross city.
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.