Demographics details for Mantua, NJ vs New milford, CT
Population Overview
Compare main population characteristics in Mantua, NJ vs New milford, CT.
| Data | Mantua | New milford |
|---|---|---|
| Population | 15,283 | 7,095 |
| Median Age | 43.6 years | 41.0 years |
| Median Income | $108,958 | $70,625 |
| Married Families | 45.0% | 38.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Mantua vs New milford
- In Mantua, the population is higher at 15,283, compared to 7,095 in New milford.
- Residents in Mantua have a higher median age of 43.6 years compared to 41.0 years in New milford.
- Mantua has a higher median income of $108,958 compared to $70,625 in New milford.
- A higher percentage of married families is found in Mantua at 45.0% compared to 38.0% in New milford.
- The poverty level is identical in both Mantua and New milford at 7%.
- The unemployment rate is the same in both Mantua and New milford at 3.5%.
Demographics
Demographics Mantua vs New milford provide insight into the diversity of the communities to compare.
| Demographic | Mantua | New milford |
|---|---|---|
| Black | 5 | 4 |
| White | 91 | 76 |
| Asian | 1 | 4 |
| Hispanic | 1 | 10 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mantua vs New milford
- A higher percentage of Black residents are in Mantua at 5% compared to 4% in New milford.
- Mantua has a higher percentage of White residents at 91% compared to 76% in New milford.
- In New milford, the Asian population stands at 4%, greater than 1% in Mantua.
- New milford has a higher percentage of Hispanic residents at 10%, compared to 1% in Mantua.
- The percentage of residents identifying as two or more races is higher in New milford at 6%, compared to 2% in Mantua.
- The percentage of American Indian residents is the same in both Mantua and New milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mantua | New milford |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.8% |
| Physical Health Not Good | Data is updating% | 9.2% |
| Depression | Data is updating% | 22.1% |
| Smoking | Data is updating% | 13.2% |
| Binge Drinking | Data is updating% | 17.1% |
| Obesity | Data is updating% | 27.2% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Mantua vs New milford
- In New milford, a higher percentage report poor mental health at 14.8% compared to 0.0% in Mantua.
- Higher depression rates are seen in New milford at 22.1% versus 0.0% in Mantua.
- New milford has a higher smoking rate at 13.2% compared to 0.0% in Mantua.
- More residents engage in binge drinking in New milford at 17.1% compared to 0.0% in Mantua.
- New milford has higher obesity rates at 27.2% compared to 0.0% in Mantua.
- Disability percentages are higher in Mantua at 12.0% compared to 10.0% in New milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mantua | New milford |
|---|---|---|
| No Schooling | 0.7% (105) | 0.0% (Data is updating) |
| High School Diploma | 21.8% (3,333) | 21.6% (1,531) |
| Less than High School | 7.1% (1,085) | 10.0% (710) |
| Bachelor's Degree and Higher | 24.8% (3,788) | 23.4% (1,658) |
Education Levels Comparison: Mantua vs New milford
- A higher percentage of residents in Mantua have no formal schooling at 0.7% compared to 0.0% in New milford.
- A higher percentage of residents in Mantua hold a high school diploma at 21.8% compared to 21.6% in New milford.
- The percentage of residents with less than a high school education is higher in New milford at 10.0%, compared to 7.1% in Mantua.
- A higher percentage of residents in Mantua hold a bachelor's degree or higher at 24.8% compared to 23.4% in New milford.
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.