Demographics details for Waban, MA vs Millville, NJ
Population Overview
Compare main population characteristics in Waban, MA vs Millville, NJ.
Data | Waban | Millville |
---|---|---|
Population | 14,525 | 27,308 |
Median Age | 44.0 years | 44.2 years |
Median Income | $200,000 | $65,279 |
Married Families | 60.0% | 37.0% |
Poverty Level | 3% | 12% |
Unemployment Rate | 2.5 | 7.3 |
Population Comparison: Waban vs Millville
- The population in Millville is higher at 27,308, compared to 14,525 in Waban.
- The median age in Millville is higher at 44.2 years, compared to 44.0 years in Waban.
- Waban has a higher median income of $200,000 compared to $65,279 in Millville.
- A higher percentage of married families is found in Waban at 60.0% compared to 37.0% in Millville.
- The poverty level is higher in Millville at 12%, compared to 3% in Waban.
- Millville has a higher unemployment rate at 7.3% compared to 2.5% in Waban.
Demographics
Demographics Waban vs Millville provide insight into the diversity of the communities to compare.
Demographic | Waban | Millville |
---|---|---|
Black | 5 | 16 |
White | 85 | 59 |
Asian | 5 | 2 |
Hispanic | 3 | 15 |
Two or More Races | 2 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waban vs Millville
- In Millville, the percentage of Black residents is higher at 16% compared to 5% in Waban.
- Waban has a higher percentage of White residents at 85% compared to 59% in Millville.
- The Asian population is larger in Waban at 5% compared to 2% in Millville.
- Millville has a higher percentage of Hispanic residents at 15%, compared to 3% in Waban.
- The percentage of residents identifying as two or more races is higher in Millville at 8%, compared to 2% in Waban.
- The percentage of American Indian residents is the same in both Waban and Millville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waban | Millville |
---|---|---|
Mental Health Not Good | Data is updating% | 17.8% |
Physical Health Not Good | Data is updating% | 13.0% |
Depression | Data is updating% | 22.3% |
Smoking | Data is updating% | 19.8% |
Binge Drinking | Data is updating% | 17.5% |
Obesity | Data is updating% | 37.3% |
Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Waban vs Millville
- In Millville, a higher percentage report poor mental health at 17.8% compared to 0.0% in Waban.
- Higher depression rates are seen in Millville at 22.3% versus 0.0% in Waban.
- Millville has a higher smoking rate at 19.8% compared to 0.0% in Waban.
- More residents engage in binge drinking in Millville at 17.5% compared to 0.0% in Waban.
- Millville has higher obesity rates at 37.3% compared to 0.0% in Waban.
- There is a higher percentage of disabled individuals in Millville at 17.0% compared to 0.0% in Waban.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waban | Millville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.1% (568) |
High School Diploma | 0.0% (Data is updating) | 23.3% (6,362) |
Less than High School | 0.0% (Data is updating) | 18.8% (5,126) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.8% (3,483) |
Education Levels Comparison: Waban vs Millville
- In Millville, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Waban.
- In Millville, the rate of residents with high school diplomas is higher at 23.3% compared to 0.0% in Waban.
- The percentage of residents with less than a high school education is higher in Millville at 18.8%, compared to 0.0% in Waban.
- In Millville, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 0.0% in Waban.
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.