Demographics details for New milford, CT vs Kaysville, UT
Population Overview
Compare main population characteristics in New milford, CT vs Kaysville, UT.
| Data | New milford | Kaysville |
|---|---|---|
| Population | 7,095 | 32,761 |
| Median Age | 41.0 years | 32.1 years |
| Median Income | $70,625 | $121,867 |
| Married Families | 38.0% | 45.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: New milford vs Kaysville
- The population in Kaysville is higher at 32,761, compared to 7,095 in New milford.
- Residents in New milford have a higher median age of 41.0 years compared to 32.1 years in Kaysville.
- Kaysville has a higher median income of $121,867, compared to $70,625 in New milford.
- In Kaysville, the percentage of married families is higher at 45.0%, compared to 38.0% in New milford.
- New milford has a higher poverty level at 7% compared to 0% in Kaysville.
- Kaysville has a higher unemployment rate at 3.7% compared to 3.5% in New milford.
Demographics
Demographics New milford vs Kaysville provide insight into the diversity of the communities to compare.
| Demographic | New milford | Kaysville |
|---|---|---|
| Black | 4 | Data is updating |
| White | 76 | 88 |
| Asian | 4 | 1 |
| Hispanic | 10 | 5 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: New milford vs Kaysville
- A higher percentage of Black residents are in New milford at 4% compared to 0% in Kaysville.
- The percentage of White residents is higher in Kaysville at 88% compared to 76% in New milford.
- The Asian population is larger in New milford at 4% compared to 1% in Kaysville.
- The Hispanic community is larger in New milford at 10% compared to 5% in Kaysville.
- Both New milford and Kaysville have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both New milford and Kaysville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New milford | Kaysville |
|---|---|---|
| Mental Health Not Good | 14.8% | 14.8% |
| Physical Health Not Good | 9.2% | 8.7% |
| Depression | 22.1% | 23.7% |
| Smoking | 13.2% | 6.7% |
| Binge Drinking | 17.1% | 11.4% |
| Obesity | 27.2% | 31.6% |
| Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: New milford vs Kaysville
- Poor mental health levels are equal in both New milford and Kaysville at 14.8%.
- Higher depression rates are seen in Kaysville at 23.7% versus 22.1% in New milford.
- Smoking is more prevalent in New milford at 13.2% compared to 6.7% in Kaysville.
- Binge drinking is more common in New milford at 17.1% compared to 11.4% in Kaysville.
- Kaysville has higher obesity rates at 31.6% compared to 27.2% in New milford.
- Disability percentages are higher in New milford at 10.0% compared to 8.0% in Kaysville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | New milford | Kaysville |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (141) |
| High School Diploma | 21.6% (1,531) | 6.1% (1,986) |
| Less than High School | 10.0% (710) | 2.6% (859) |
| Bachelor's Degree and Higher | 23.4% (1,658) | 28.5% (9,340) |
Education Levels Comparison: New milford vs Kaysville
- In Kaysville, a larger percentage of residents lack formal schooling at 0.4% 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 6.1% in Kaysville.
- More residents in New milford have less than a high school education at 10.0% compared to 2.6% in Kaysville.
- In Kaysville, a larger share of residents have a bachelor's degree or higher at 28.5% 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.