Demographics details for New milford, CT vs Quincy, MA
Population Overview
Compare main population characteristics in New milford, CT vs Quincy, MA.
| Data | New milford | Quincy |
|---|---|---|
| Population | 7,095 | 101,727 |
| Median Age | 41.0 years | 38.3 years |
| Median Income | $70,625 | $90,668 |
| Married Families | 38.0% | 39.0% |
| Poverty Level | 7% | 6% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: New milford vs Quincy
- The population in Quincy is higher at 101,727, compared to 7,095 in New milford.
- Residents in New milford have a higher median age of 41.0 years compared to 38.3 years in Quincy.
- Quincy has a higher median income of $90,668, compared to $70,625 in New milford.
- In Quincy, the percentage of married families is higher at 39.0%, compared to 38.0% in New milford.
- New milford has a higher poverty level at 7% compared to 6% in Quincy.
- Quincy has a higher unemployment rate at 4.1% compared to 3.5% in New milford.
Demographics
Demographics New milford vs Quincy provide insight into the diversity of the communities to compare.
| Demographic | New milford | Quincy |
|---|---|---|
| Black | 4 | 6 |
| White | 76 | 55 |
| Asian | 4 | 29 |
| Hispanic | 10 | 5 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: New milford vs Quincy
- In Quincy, the percentage of Black residents is higher at 6% compared to 4% in New milford.
- New milford has a higher percentage of White residents at 76% compared to 55% in Quincy.
- In Quincy, the Asian population stands at 29%, greater than 4% in New milford.
- The Hispanic community is larger in New milford at 10% compared to 5% in Quincy.
- More residents identify as two or more races in New milford at 6% compared to 5% in Quincy.
- The percentage of American Indian residents is the same in both New milford and Quincy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New milford | Quincy |
|---|---|---|
| Mental Health Not Good | 14.8% | 14.9% |
| Physical Health Not Good | 9.2% | 9.4% |
| Depression | 22.1% | 20.0% |
| Smoking | 13.2% | 13.5% |
| Binge Drinking | 17.1% | 17.2% |
| Obesity | 27.2% | 24.6% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: New milford vs Quincy
- In Quincy, a higher percentage report poor mental health at 14.9% compared to 14.8% in New milford.
- Depression is more prevalent in New milford at 22.1% compared to 20.0% in Quincy.
- Quincy has a higher smoking rate at 13.5% compared to 13.2% in New milford.
- More residents engage in binge drinking in Quincy at 17.2% compared to 17.1% in New milford.
- Obesity rates are higher in New milford at 27.2% compared to 24.6% in Quincy.
- There is a higher percentage of disabled individuals in Quincy at 11.0% 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 | New milford | Quincy |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.5% (2,554) |
| High School Diploma | 21.6% (1,531) | 14.7% (14,934) |
| Less than High School | 10.0% (710) | 10.4% (10,588) |
| Bachelor's Degree and Higher | 23.4% (1,658) | 36.0% (36,574) |
Education Levels Comparison: New milford vs Quincy
- In Quincy, a larger percentage of residents lack formal schooling at 2.5% compared to 0.0% in New milford.
- A higher percentage of residents in New milford hold a high school diploma at 21.6% compared to 14.7% in Quincy.
- The percentage of residents with less than a high school education is higher in Quincy at 10.4%, compared to 10.0% in New milford.
- In Quincy, a larger share of residents have a bachelor's degree or higher at 36.0% 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.