Demographics details for Vacaville, CA vs New milford, CT
Population Overview
Compare main population characteristics in Vacaville, CA vs New milford, CT.
| Data | Vacaville | New milford |
|---|---|---|
| Population | 101,918 | 7,095 |
| Median Age | 37.3 years | 41.0 years |
| Median Income | $106,764 | $70,625 |
| Married Families | 39.0% | 38.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Vacaville vs New milford
- In Vacaville, the population is higher at 101,918, compared to 7,095 in New milford.
- The median age in New milford is higher at 41.0 years, compared to 37.3 years in Vacaville.
- Vacaville has a higher median income of $106,764 compared to $70,625 in New milford.
- A higher percentage of married families is found in Vacaville at 39.0% compared to 38.0% in New milford.
- Vacaville has a higher poverty level at 12% compared to 7% in New milford.
- The unemployment rate in Vacaville is higher at 4.6%, compared to 3.5% in New milford.
Demographics
Demographics Vacaville vs New milford provide insight into the diversity of the communities to compare.
| Demographic | Vacaville | New milford |
|---|---|---|
| Black | 8 | 4 |
| White | 43 | 76 |
| Asian | 10 | 4 |
| Hispanic | 26 | 10 |
| Two or More Races | 12 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Vacaville vs New milford
- A higher percentage of Black residents are in Vacaville at 8% compared to 4% in New milford.
- The percentage of White residents is higher in New milford at 76% compared to 43% in Vacaville.
- The Asian population is larger in Vacaville at 10% compared to 4% in New milford.
- The Hispanic community is larger in Vacaville at 26% compared to 10% in New milford.
- More residents identify as two or more races in Vacaville at 12% compared to 6% in New milford.
- A greater percentage of American Indian residents live in Vacaville at 1% compared to 0% in New milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vacaville | New milford |
|---|---|---|
| Mental Health Not Good | 16.0% | 14.8% |
| Physical Health Not Good | 10.7% | 9.2% |
| Depression | 18.9% | 22.1% |
| Smoking | 12.5% | 13.2% |
| Binge Drinking | 17.9% | 17.1% |
| Obesity | 30.6% | 27.2% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Vacaville vs New milford
- More residents in Vacaville report poor mental health at 16.0% compared to 14.8% in New milford.
- Higher depression rates are seen in New milford at 22.1% versus 18.9% in Vacaville.
- New milford has a higher smoking rate at 13.2% compared to 12.5% in Vacaville.
- Binge drinking is more common in Vacaville at 17.9% compared to 17.1% in New milford.
- Obesity rates are higher in Vacaville at 30.6% compared to 27.2% in New milford.
- Disability percentages are the same in both Vacaville and New milford at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vacaville | New milford |
|---|---|---|
| No Schooling | 0.8% (813) | 0.0% (Data is updating) |
| High School Diploma | 13.4% (13,656) | 21.6% (1,531) |
| Less than High School | 10.1% (10,246) | 10.0% (710) |
| Bachelor's Degree and Higher | 18.1% (18,492) | 23.4% (1,658) |
Education Levels Comparison: Vacaville vs New milford
- A higher percentage of residents in Vacaville have no formal schooling at 0.8% compared to 0.0% in New milford.
- In New milford, the rate of residents with high school diplomas is higher at 21.6% compared to 13.4% in Vacaville.
- More residents in Vacaville have less than a high school education at 10.1% 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 18.1% in Vacaville.
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.