Demographics details for Cuba city, WI vs Hampton, VA
Population Overview
Compare main population characteristics in Cuba city, WI vs Hampton, VA.
| Data | Cuba city | Hampton |
|---|---|---|
| Population | 2,125 | 138,037 |
| Median Age | 39.4 years | 36.5 years |
| Median Income | $73,393 | $64,430 |
| Married Families | 44.0% | 34.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.2 | 3.7 |
Population Comparison: Cuba city vs Hampton
- The population in Hampton is higher at 138,037, compared to 2,125 in Cuba city.
- Residents in Cuba city have a higher median age of 39.4 years compared to 36.5 years in Hampton.
- Cuba city has a higher median income of $73,393 compared to $64,430 in Hampton.
- A higher percentage of married families is found in Cuba city at 44.0% compared to 34.0% in Hampton.
- The poverty level is higher in Hampton at 12%, compared to 0% in Cuba city.
- Hampton has a higher unemployment rate at 3.7% compared to 3.2% in Cuba city.
Demographics
Demographics Cuba city vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Cuba city | Hampton |
|---|---|---|
| Black | Data is updating | 49 |
| White | 95 | 34 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 7 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuba city vs Hampton
- In Hampton, the percentage of Black residents is higher at 49% compared to 0% in Cuba city.
- Cuba city has a higher percentage of White residents at 95% compared to 34% in Hampton.
- In Hampton, the Asian population stands at 2%, greater than 0% in Cuba city.
- Hampton has a higher percentage of Hispanic residents at 7%, compared to 3% in Cuba city.
- The percentage of residents identifying as two or more races is higher in Hampton at 8%, compared to 2% in Cuba city.
- The percentage of American Indian residents is the same in both Cuba city and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cuba city | Hampton |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.8% |
| Physical Health Not Good | 9.9% | 11.3% |
| Depression | 23.3% | 21.1% |
| Smoking | 15.8% | 17.7% |
| Binge Drinking | 24.6% | 15.2% |
| Obesity | 33.0% | 42.6% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Cuba city vs Hampton
- In Hampton, a higher percentage report poor mental health at 16.8% compared to 15.1% in Cuba city.
- Depression is more prevalent in Cuba city at 23.3% compared to 21.1% in Hampton.
- Hampton has a higher smoking rate at 17.7% compared to 15.8% in Cuba city.
- Binge drinking is more common in Cuba city at 24.6% compared to 15.2% in Hampton.
- Hampton has higher obesity rates at 42.6% compared to 33.0% in Cuba city.
- There is a higher percentage of disabled individuals in Hampton at 15.0% compared to 11.0% in Cuba city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cuba city | Hampton |
|---|---|---|
| No Schooling | 0.2% (4) | 0.7% (1,033) |
| High School Diploma | 18.4% (390) | 16.8% (23,123) |
| Less than High School | 9.2% (195) | 7.0% (9,612) |
| Bachelor's Degree and Higher | 19.1% (405) | 18.5% (25,602) |
Education Levels Comparison: Cuba city vs Hampton
- In Hampton, a larger percentage of residents lack formal schooling at 0.7% compared to 0.2% in Cuba city.
- A higher percentage of residents in Cuba city hold a high school diploma at 18.4% compared to 16.8% in Hampton.
- More residents in Cuba city have less than a high school education at 9.2% compared to 7.0% in Hampton.
- A higher percentage of residents in Cuba city hold a bachelor's degree or higher at 19.1% 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.