Demographics details for Fountain, MN vs New milford, CT
Population Overview
Compare main population characteristics in Fountain, MN vs New milford, CT.
| Data | Fountain | New milford |
|---|---|---|
| Population | 407 | 7,095 |
| Median Age | 40.4 years | 41.0 years |
| Median Income | $71,875 | $70,625 |
| Married Families | 63.0% | 38.0% |
| Poverty Level | 6% | 7% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Fountain vs New milford
- The population in New milford is higher at 7,095, compared to 407 in Fountain.
- The median age in New milford is higher at 41.0 years, compared to 40.4 years in Fountain.
- Fountain has a higher median income of $71,875 compared to $70,625 in New milford.
- A higher percentage of married families is found in Fountain at 63.0% compared to 38.0% in New milford.
- The poverty level is higher in New milford at 7%, compared to 6% in Fountain.
- New milford has a higher unemployment rate at 3.5% compared to 3.2% in Fountain.
Demographics
Demographics Fountain vs New milford provide insight into the diversity of the communities to compare.
| Demographic | Fountain | New milford |
|---|---|---|
| Black | Data is updating | 4 |
| White | 95 | 76 |
| Asian | Data is updating | 4 |
| Hispanic | 1 | 10 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fountain vs New milford
- In New milford, the percentage of Black residents is higher at 4% compared to 0% in Fountain.
- Fountain has a higher percentage of White residents at 95% compared to 76% in New milford.
- In New milford, the Asian population stands at 4%, greater than 0% in Fountain.
- New milford has a higher percentage of Hispanic residents at 10%, compared to 1% in Fountain.
- The percentage of residents identifying as two or more races is higher in New milford at 6%, compared to 4% in Fountain.
- The percentage of American Indian residents is the same in both Fountain and New milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fountain | New milford |
|---|---|---|
| Mental Health Not Good | 14.2% | 14.8% |
| Physical Health Not Good | 8.6% | 9.2% |
| Depression | 22.1% | 22.1% |
| Smoking | 16.4% | 13.2% |
| Binge Drinking | 21.4% | 17.1% |
| Obesity | 32.5% | 27.2% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Fountain vs New milford
- In New milford, a higher percentage report poor mental health at 14.8% compared to 14.2% in Fountain.
- Both cities have comparable depression rates at 22.1%.
- Smoking is more prevalent in Fountain at 16.4% compared to 13.2% in New milford.
- Binge drinking is more common in Fountain at 21.4% compared to 17.1% in New milford.
- Obesity rates are higher in Fountain at 32.5% compared to 27.2% in New milford.
- There is a higher percentage of disabled individuals in New milford at 10.0% compared to 9.0% in Fountain.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fountain | New milford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 21.1% (86) | 21.6% (1,531) |
| Less than High School | 10.3% (42) | 10.0% (710) |
| Bachelor's Degree and Higher | 12.3% (50) | 23.4% (1,658) |
Education Levels Comparison: Fountain vs New milford
- The percentage of residents with no formal schooling is the same in both Fountain and New milford at 0.0%.
- In New milford, the rate of residents with high school diplomas is higher at 21.6% compared to 21.1% in Fountain.
- More residents in Fountain have less than a high school education at 10.3% compared to 10.0% in New milford.
- In New milford, a larger share of residents have a bachelor's degree or higher at 23.4% compared to 12.3% in Fountain.
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.