Demographics details for Kanawha, IA vs New milford, CT
Population Overview
Compare main population characteristics in Kanawha, IA vs New milford, CT.
| Data | Kanawha | New milford |
|---|---|---|
| Population | 643 | 7,095 |
| Median Age | 29.8 years | 41.0 years |
| Median Income | $63,889 | $70,625 |
| Married Families | 58.0% | 38.0% |
| Poverty Level | 9% | 7% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Kanawha vs New milford
- The population in New milford is higher at 7,095, compared to 643 in Kanawha.
- The median age in New milford is higher at 41.0 years, compared to 29.8 years in Kanawha.
- New milford has a higher median income of $70,625, compared to $63,889 in Kanawha.
- A higher percentage of married families is found in Kanawha at 58.0% compared to 38.0% in New milford.
- Kanawha has a higher poverty level at 9% compared to 7% in New milford.
- New milford has a higher unemployment rate at 3.5% compared to 3.2% in Kanawha.
Demographics
Demographics Kanawha vs New milford provide insight into the diversity of the communities to compare.
| Demographic | Kanawha | New milford |
|---|---|---|
| Black | Data is updating | 4 |
| White | 70 | 76 |
| Asian | 1 | 4 |
| Hispanic | 18 | 10 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kanawha vs New milford
- In New milford, the percentage of Black residents is higher at 4% compared to 0% in Kanawha.
- The percentage of White residents is higher in New milford at 76% compared to 70% in Kanawha.
- In New milford, the Asian population stands at 4%, greater than 1% in Kanawha.
- The Hispanic community is larger in Kanawha at 18% compared to 10% in New milford.
- More residents identify as two or more races in Kanawha at 11% compared to 6% in New milford.
- The percentage of American Indian residents is the same in both Kanawha and New milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kanawha | New milford |
|---|---|---|
| Mental Health Not Good | 16.0% | 14.8% |
| Physical Health Not Good | 10.2% | 9.2% |
| Depression | 19.3% | 22.1% |
| Smoking | 18.5% | 13.2% |
| Binge Drinking | 21.4% | 17.1% |
| Obesity | 36.9% | 27.2% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Kanawha vs New milford
- More residents in Kanawha 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 19.3% in Kanawha.
- Smoking is more prevalent in Kanawha at 18.5% compared to 13.2% in New milford.
- Binge drinking is more common in Kanawha at 21.4% compared to 17.1% in New milford.
- Obesity rates are higher in Kanawha at 36.9% compared to 27.2% in New milford.
- Disability percentages are higher in Kanawha at 20.0% 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 | Kanawha | New milford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 29.4% (189) | 21.6% (1,531) |
| Less than High School | 9.6% (62) | 10.0% (710) |
| Bachelor's Degree and Higher | 24.7% (159) | 23.4% (1,658) |
Education Levels Comparison: Kanawha vs New milford
- The percentage of residents with no formal schooling is the same in both Kanawha and New milford at 0.0%.
- A higher percentage of residents in Kanawha hold a high school diploma at 29.4% 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 9.6% in Kanawha.
- A higher percentage of residents in Kanawha hold a bachelor's degree or higher at 24.7% 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.