Demographics details for Newton, KS vs Southfield, MI
Population Overview
Compare main population characteristics in Newton, KS vs Southfield, MI.
| Data | Newton | Southfield |
|---|---|---|
| Population | 18,392 | 75,431 |
| Median Age | 40.1 years | 42.1 years |
| Median Income | $66,528 | $63,980 |
| Married Families | 40.0% | 31.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 3.4 | 6.2 |
Population Comparison: Newton vs Southfield
- The population in Southfield is higher at 75,431, compared to 18,392 in Newton.
- The median age in Southfield is higher at 42.1 years, compared to 40.1 years in Newton.
- Newton has a higher median income of $66,528 compared to $63,980 in Southfield.
- A higher percentage of married families is found in Newton at 40.0% compared to 31.0% in Southfield.
- The poverty level is higher in Southfield at 13%, compared to 9% in Newton.
- Southfield has a higher unemployment rate at 6.2% compared to 3.4% in Newton.
Demographics
Demographics Newton vs Southfield provide insight into the diversity of the communities to compare.
| Demographic | Newton | Southfield |
|---|---|---|
| Black | 2 | 66 |
| White | 66 | 23 |
| Asian | Data is updating | 2 |
| Hispanic | 20 | 2 |
| Two or More Races | 11 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Newton vs Southfield
- In Southfield, the percentage of Black residents is higher at 66% compared to 2% in Newton.
- Newton has a higher percentage of White residents at 66% compared to 23% in Southfield.
- In Southfield, the Asian population stands at 2%, greater than 0% in Newton.
- The Hispanic community is larger in Newton at 20% compared to 2% in Southfield.
- More residents identify as two or more races in Newton at 11% compared to 7% in Southfield.
- A greater percentage of American Indian residents live in Newton at 1% compared to 0% in Southfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Newton | Southfield |
|---|---|---|
| Mental Health Not Good | 15.5% | 15.4% |
| Physical Health Not Good | 9.9% | 9.9% |
| Depression | 21.3% | 17.6% |
| Smoking | 16.1% | 14.8% |
| Binge Drinking | 17.3% | 14.9% |
| Obesity | 40.1% | 38.1% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Newton vs Southfield
- More residents in Newton report poor mental health at 15.5% compared to 15.4% in Southfield.
- Depression is more prevalent in Newton at 21.3% compared to 17.6% in Southfield.
- Smoking is more prevalent in Newton at 16.1% compared to 14.8% in Southfield.
- Binge drinking is more common in Newton at 17.3% compared to 14.9% in Southfield.
- Obesity rates are higher in Newton at 40.1% compared to 38.1% in Southfield.
- There is a higher percentage of disabled individuals in Southfield at 17.0% compared to 13.0% in Newton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Newton | Southfield |
|---|---|---|
| No Schooling | 0.5% (92) | 1.2% (870) |
| High School Diploma | 15.3% (2,807) | 12.0% (9,038) |
| Less than High School | 11.6% (2,127) | 6.1% (4,623) |
| Bachelor's Degree and Higher | 19.4% (3,576) | 27.5% (20,760) |
Education Levels Comparison: Newton vs Southfield
- In Southfield, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Newton.
- A higher percentage of residents in Newton hold a high school diploma at 15.3% compared to 12.0% in Southfield.
- More residents in Newton have less than a high school education at 11.6% 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 19.4% in Newton.
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.