Demographics details for Springfield, MA vs Mullica hill, NJ
Population Overview
Compare main population characteristics in Springfield, MA vs Mullica hill, NJ.
Data | Springfield | Mullica hill |
---|---|---|
Population | 154,064 | 4,454 |
Median Age | 33.4 years | 41.0 years |
Median Income | $47,677 | $123,265 |
Married Families | 26.0% | 46.0% |
Poverty Level | 20% | 4% |
Unemployment Rate | 6.9 | 3.2 |
Population Comparison: Springfield vs Mullica hill
- In Springfield, the population is higher at 154,064, compared to 4,454 in Mullica hill.
- The median age in Mullica hill is higher at 41.0 years, compared to 33.4 years in Springfield.
- Mullica hill has a higher median income of $123,265, compared to $47,677 in Springfield.
- In Mullica hill, the percentage of married families is higher at 46.0%, compared to 26.0% in Springfield.
- Springfield has a higher poverty level at 20% compared to 4% in Mullica hill.
- The unemployment rate in Springfield is higher at 6.9%, compared to 3.2% in Mullica hill.
Demographics
Demographics Springfield vs Mullica hill provide insight into the diversity of the communities to compare.
Demographic | Springfield | Mullica hill |
---|---|---|
Black | 21 | 11 |
White | 8 | 74 |
Asian | 3 | 4 |
Hispanic | 49 | 4 |
Two or More Races | 19 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Mullica hill
- A higher percentage of Black residents are in Springfield at 21% compared to 11% in Mullica hill.
- The percentage of White residents is higher in Mullica hill at 74% compared to 8% in Springfield.
- In Mullica hill, the Asian population stands at 4%, greater than 3% in Springfield.
- The Hispanic community is larger in Springfield at 49% compared to 4% in Mullica hill.
- More residents identify as two or more races in Springfield at 19% compared to 7% in Mullica hill.
- The percentage of American Indian residents is the same in both Springfield and Mullica hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springfield | Mullica hill |
---|---|---|
Mental Health Not Good | 21.2% | 13.7% |
Physical Health Not Good | 14.9% | 7.9% |
Depression | 25.8% | 20.9% |
Smoking | 19.9% | 10.3% |
Binge Drinking | 14.3% | 20.0% |
Obesity | 40.8% | 27.7% |
Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Springfield vs Mullica hill
- More residents in Springfield report poor mental health at 21.2% compared to 13.7% in Mullica hill.
- Depression is more prevalent in Springfield at 25.8% compared to 20.9% in Mullica hill.
- Smoking is more prevalent in Springfield at 19.9% compared to 10.3% in Mullica hill.
- More residents engage in binge drinking in Mullica hill at 20.0% compared to 14.3% in Springfield.
- Obesity rates are higher in Springfield at 40.8% compared to 27.7% in Mullica hill.
- Disability percentages are higher in Springfield at 19.0% compared to 12.0% in Mullica hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springfield | Mullica hill |
---|---|---|
No Schooling | 2.0% (3,005) | 0.7% (33) |
High School Diploma | 16.7% (25,679) | 12.9% (576) |
Less than High School | 23.8% (36,663) | 5.5% (244) |
Bachelor's Degree and Higher | 12.7% (19,500) | 36.2% (1,612) |
Education Levels Comparison: Springfield vs Mullica hill
- A higher percentage of residents in Springfield have no formal schooling at 2.0% compared to 0.7% in Mullica hill.
- A higher percentage of residents in Springfield hold a high school diploma at 16.7% compared to 12.9% in Mullica hill.
- More residents in Springfield have less than a high school education at 23.8% compared to 5.5% in Mullica hill.
- In Mullica hill, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 12.7% in Springfield.
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.