Demographics details for Hampton, GA vs New milford, CT
Population Overview
Compare main population characteristics in Hampton, GA vs New milford, CT.
| Data | Hampton | New milford |
|---|---|---|
| Population | 8,267 | 7,095 |
| Median Age | 32.9 years | 41.0 years |
| Median Income | $67,808 | $70,625 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Hampton vs New milford
- In Hampton, the population is higher at 8,267, compared to 7,095 in New milford.
- The median age in New milford is higher at 41.0 years, compared to 32.9 years in Hampton.
- New milford has a higher median income of $70,625, compared to $67,808 in Hampton.
- In New milford, the percentage of married families is higher at 38.0%, compared to 33.0% in Hampton.
- Hampton has a higher poverty level at 10% compared to 7% in New milford.
- The unemployment rate in Hampton is higher at 4.0%, compared to 3.5% in New milford.
Demographics
Demographics Hampton vs New milford provide insight into the diversity of the communities to compare.
| Demographic | Hampton | New milford |
|---|---|---|
| Black | 58 | 4 |
| White | 35 | 76 |
| Asian | Data is updating | 4 |
| Hispanic | 4 | 10 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs New milford
- A higher percentage of Black residents are in Hampton at 58% compared to 4% in New milford.
- The percentage of White residents is higher in New milford at 76% compared to 35% in Hampton.
- In New milford, the Asian population stands at 4%, greater than 0% in Hampton.
- New milford has a higher percentage of Hispanic residents at 10%, compared to 4% in Hampton.
- The percentage of residents identifying as two or more races is higher in New milford at 6%, compared to 3% in Hampton.
- The percentage of American Indian residents is the same in both Hampton and New milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | New milford |
|---|---|---|
| Mental Health Not Good | 16.2% | 14.8% |
| Physical Health Not Good | 11.2% | 9.2% |
| Depression | 20.7% | 22.1% |
| Smoking | 15.5% | 13.2% |
| Binge Drinking | 16.5% | 17.1% |
| Obesity | 37.0% | 27.2% |
| Disability Percentage | 6.0% | 10.0% |
Health Statistics Comparison: Hampton vs New milford
- More residents in Hampton report poor mental health at 16.2% compared to 14.8% in New milford.
- Higher depression rates are seen in New milford at 22.1% versus 20.7% in Hampton.
- Smoking is more prevalent in Hampton at 15.5% compared to 13.2% in New milford.
- More residents engage in binge drinking in New milford at 17.1% compared to 16.5% in Hampton.
- Obesity rates are higher in Hampton at 37.0% compared to 27.2% in New milford.
- There is a higher percentage of disabled individuals in New milford at 10.0% compared to 6.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hampton | New milford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 19.6% (1,619) | 21.6% (1,531) |
| Less than High School | 3.5% (293) | 10.0% (710) |
| Bachelor's Degree and Higher | 13.8% (1,140) | 23.4% (1,658) |
Education Levels Comparison: Hampton vs New milford
- The percentage of residents with no formal schooling is the same in both Hampton and New milford at 0.0%.
- In New milford, the rate of residents with high school diplomas is higher at 21.6% compared to 19.6% in Hampton.
- The percentage of residents with less than a high school education is higher in New milford at 10.0%, compared to 3.5% in Hampton.
- In New milford, a larger share of residents have a bachelor's degree or higher at 23.4% compared to 13.8% in Hampton.
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.