Demographics details for Cudahy, WI vs Hampton, VA
Population Overview
Compare main population characteristics in Cudahy, WI vs Hampton, VA.
| Data | Cudahy | Hampton |
|---|---|---|
| Population | 17,796 | 138,037 |
| Median Age | 42.4 years | 36.5 years |
| Median Income | $66,592 | $64,430 |
| Married Families | 39.0% | 34.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Cudahy vs Hampton
- The population in Hampton is higher at 138,037, compared to 17,796 in Cudahy.
- Residents in Cudahy have a higher median age of 42.4 years compared to 36.5 years in Hampton.
- Cudahy has a higher median income of $66,592 compared to $64,430 in Hampton.
- A higher percentage of married families is found in Cudahy at 39.0% compared to 34.0% in Hampton.
- The poverty level is higher in Hampton at 12%, compared to 11% in Cudahy.
- Hampton has a higher unemployment rate at 3.7% compared to 3.5% in Cudahy.
Demographics
Demographics Cudahy vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Cudahy | Hampton |
|---|---|---|
| Black | 3 | 49 |
| White | 77 | 34 |
| Asian | 2 | 2 |
| Hispanic | 9 | 7 |
| Two or More Races | 9 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cudahy vs Hampton
- In Hampton, the percentage of Black residents is higher at 49% compared to 3% in Cudahy.
- Cudahy has a higher percentage of White residents at 77% compared to 34% in Hampton.
- Both Cudahy and Hampton have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Cudahy at 9% compared to 7% in Hampton.
- More residents identify as two or more races in Cudahy at 9% compared to 8% in Hampton.
- The percentage of American Indian residents is the same in both Cudahy and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cudahy | Hampton |
|---|---|---|
| Mental Health Not Good | 15.5% | 16.8% |
| Physical Health Not Good | 9.6% | 11.3% |
| Depression | 24.3% | 21.1% |
| Smoking | 16.4% | 17.7% |
| Binge Drinking | 26.4% | 15.2% |
| Obesity | 34.2% | 42.6% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Cudahy vs Hampton
- In Hampton, a higher percentage report poor mental health at 16.8% compared to 15.5% in Cudahy.
- Depression is more prevalent in Cudahy at 24.3% compared to 21.1% in Hampton.
- Hampton has a higher smoking rate at 17.7% compared to 16.4% in Cudahy.
- Binge drinking is more common in Cudahy at 26.4% compared to 15.2% in Hampton.
- Hampton has higher obesity rates at 42.6% compared to 34.2% in Cudahy.
- Disability percentages are higher in Cudahy at 16.0% compared to 15.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cudahy | Hampton |
|---|---|---|
| No Schooling | 0.9% (166) | 0.7% (1,033) |
| High School Diploma | 25.1% (4,460) | 16.8% (23,123) |
| Less than High School | 9.9% (1,768) | 7.0% (9,612) |
| Bachelor's Degree and Higher | 21.0% (3,730) | 18.5% (25,602) |
Education Levels Comparison: Cudahy vs Hampton
- A higher percentage of residents in Cudahy have no formal schooling at 0.9% compared to 0.7% in Hampton.
- A higher percentage of residents in Cudahy hold a high school diploma at 25.1% compared to 16.8% in Hampton.
- More residents in Cudahy have less than a high school education at 9.9% compared to 7.0% in Hampton.
- A higher percentage of residents in Cudahy hold a bachelor's degree or higher at 21.0% compared to 18.5% 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.