Demographics details for Southfield, MI vs Springer, OK
Population Overview
Compare main population characteristics in Southfield, MI vs Springer, OK.
Data | Southfield | Springer |
---|---|---|
Population | 75,431 | 694 |
Median Age | 42.1 years | 30.3 years |
Median Income | $63,980 | $51,630 |
Married Families | 31.0% | 42.0% |
Poverty Level | 13% | 17% |
Unemployment Rate | 6.2 | 3.5 |
Population Comparison: Southfield vs Springer
- In Southfield, the population is higher at 75,431, compared to 694 in Springer.
- Residents in Southfield have a higher median age of 42.1 years compared to 30.3 years in Springer.
- Southfield has a higher median income of $63,980 compared to $51,630 in Springer.
- In Springer, the percentage of married families is higher at 42.0%, compared to 31.0% in Southfield.
- The poverty level is higher in Springer at 17%, compared to 13% in Southfield.
- The unemployment rate in Southfield is higher at 6.2%, compared to 3.5% in Springer.
Demographics
Demographics Southfield vs Springer provide insight into the diversity of the communities to compare.
Demographic | Southfield | Springer |
---|---|---|
Black | 66 | 5 |
White | 23 | 54 |
Asian | 2 | Data is updating |
Hispanic | 2 | 7 |
Two or More Races | 7 | 21 |
American Indian | Data is updating | 13 |
Demographics Comparison: Southfield vs Springer
- A higher percentage of Black residents are in Southfield at 66% compared to 5% in Springer.
- The percentage of White residents is higher in Springer at 54% compared to 23% in Southfield.
- The Asian population is larger in Southfield at 2% compared to 0% in Springer.
- Springer has a higher percentage of Hispanic residents at 7%, compared to 2% in Southfield.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 7% in Southfield.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 0% in Southfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Southfield | Springer |
---|---|---|
Mental Health Not Good | 15.4% | 18.7% |
Physical Health Not Good | 9.9% | 12.6% |
Depression | 17.6% | 26.0% |
Smoking | 14.8% | 20.5% |
Binge Drinking | 14.9% | 15.6% |
Obesity | 38.1% | 39.9% |
Disability Percentage | 17.0% | 29.0% |
Health Statistics Comparison: Southfield vs Springer
- In Springer, a higher percentage report poor mental health at 18.7% compared to 15.4% in Southfield.
- Higher depression rates are seen in Springer at 26.0% versus 17.6% in Southfield.
- Springer has a higher smoking rate at 20.5% compared to 14.8% in Southfield.
- More residents engage in binge drinking in Springer at 15.6% compared to 14.9% in Southfield.
- Springer has higher obesity rates at 39.9% compared to 38.1% in Southfield.
- There is a higher percentage of disabled individuals in Springer at 29.0% 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 | Southfield | Springer |
---|---|---|
No Schooling | 1.2% (870) | 0.0% (Data is updating) |
High School Diploma | 12.0% (9,038) | 19.2% (133) |
Less than High School | 6.1% (4,623) | 19.6% (136) |
Bachelor's Degree and Higher | 27.5% (20,760) | 9.4% (65) |
Education Levels Comparison: Southfield vs Springer
- A higher percentage of residents in Southfield have no formal schooling at 1.2% compared to 0.0% in Springer.
- In Springer, the rate of residents with high school diplomas is higher at 19.2% compared to 12.0% in Southfield.
- The percentage of residents with less than a high school education is higher in Springer at 19.6%, 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 9.4% in Springer.
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.