Demographics details for Hampton, VA vs Cross city, FL
Population Overview
Compare main population characteristics in Hampton, VA vs Cross city, FL.
| Data | Hampton | Cross city |
|---|---|---|
| Population | 138,037 | 1,754 |
| Median Age | 36.5 years | 40.2 years |
| Median Income | $64,430 | $44,500 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Hampton vs Cross city
- In Hampton, the population is higher at 138,037, compared to 1,754 in Cross city.
- The median age in Cross city is higher at 40.2 years, compared to 36.5 years in Hampton.
- Hampton has a higher median income of $64,430 compared to $44,500 in Cross city.
- In Cross city, the percentage of married families is higher at 47.0%, compared to 34.0% in Hampton.
- The poverty level is higher in Cross city at 18%, compared to 12% in Hampton.
- The unemployment rate in Hampton is higher at 3.7%, compared to 3.5% in Cross city.
Demographics
Demographics Hampton vs Cross city provide insight into the diversity of the communities to compare.
| Demographic | Hampton | Cross city |
|---|---|---|
| Black | 49 | 20 |
| White | 34 | 61 |
| Asian | 2 | 2 |
| Hispanic | 7 | 9 |
| Two or More Races | 8 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Cross city
- A higher percentage of Black residents are in Hampton at 49% compared to 20% in Cross city.
- The percentage of White residents is higher in Cross city at 61% compared to 34% in Hampton.
- Both Hampton and Cross city have the same percentage of Asian residents at 2%.
- Cross city has a higher percentage of Hispanic residents at 9%, compared to 7% in Hampton.
- Both Hampton and Cross city have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Hampton and Cross city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | Cross city |
|---|---|---|
| Mental Health Not Good | 16.8% | 20.0% |
| Physical Health Not Good | 11.3% | 15.8% |
| Depression | 21.1% | 23.8% |
| Smoking | 17.7% | 29.1% |
| Binge Drinking | 15.2% | 14.8% |
| Obesity | 42.6% | 40.8% |
| Disability Percentage | 15.0% | 32.0% |
Health Statistics Comparison: Hampton vs Cross city
- In Cross city, a higher percentage report poor mental health at 20.0% compared to 16.8% in Hampton.
- Higher depression rates are seen in Cross city at 23.8% versus 21.1% in Hampton.
- Cross city has a higher smoking rate at 29.1% compared to 17.7% in Hampton.
- Binge drinking is more common in Hampton at 15.2% compared to 14.8% in Cross city.
- Obesity rates are higher in Hampton at 42.6% compared to 40.8% in Cross city.
- There is a higher percentage of disabled individuals in Cross city at 32.0% 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 | Hampton | Cross city |
|---|---|---|
| No Schooling | 0.7% (1,033) | 0.9% (15) |
| High School Diploma | 16.8% (23,123) | 39.2% (688) |
| Less than High School | 7.0% (9,612) | 11.7% (205) |
| Bachelor's Degree and Higher | 18.5% (25,602) | 7.8% (136) |
Education Levels Comparison: Hampton vs Cross city
- In Cross city, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Hampton.
- In Cross city, the rate of residents with high school diplomas is higher at 39.2% compared to 16.8% in Hampton.
- The percentage of residents with less than a high school education is higher in Cross city at 11.7%, compared to 7.0% in Hampton.
- A higher percentage of residents in Hampton hold a bachelor's degree or higher at 18.5% compared to 7.8% in Cross city.
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.