Demographics details for Hampton, NH vs Bedford, VA
Population Overview
Compare main population characteristics in Hampton, NH vs Bedford, VA.
Data | Hampton | Bedford |
---|---|---|
Population | 15,564 | 6,735 |
Median Age | 45.0 years | 40.5 years |
Median Income | $75,000 | $41,154 |
Married Families | 60.0% | 32.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 2.4 | 3.5 |
Population Comparison: Hampton vs Bedford
- In Hampton, the population is higher at 15,564, compared to 6,735 in Bedford.
- Residents in Hampton have a higher median age of 45.0 years compared to 40.5 years in Bedford.
- Hampton has a higher median income of $75,000 compared to $41,154 in Bedford.
- A higher percentage of married families is found in Hampton at 60.0% compared to 32.0% in Bedford.
- The poverty level is higher in Bedford at 10%, compared to 6% in Hampton.
- Bedford has a higher unemployment rate at 3.5% compared to 2.4% in Hampton.
Demographics
Demographics Hampton vs Bedford provide insight into the diversity of the communities to compare.
Demographic | Hampton | Bedford |
---|---|---|
Black | 1 | 17 |
White | 95 | 75 |
Asian | 2 | 3 |
Hispanic | 1 | 2 |
Two or More Races | 1 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Bedford
- In Bedford, the percentage of Black residents is higher at 17% compared to 1% in Hampton.
- Hampton has a higher percentage of White residents at 95% compared to 75% in Bedford.
- In Bedford, the Asian population stands at 3%, greater than 2% in Hampton.
- Bedford has a higher percentage of Hispanic residents at 2%, compared to 1% in Hampton.
- The percentage of residents identifying as two or more races is higher in Bedford at 3%, compared to 1% in Hampton.
- The percentage of American Indian residents is the same in both Hampton and Bedford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hampton | Bedford |
---|---|---|
Mental Health Not Good | Data is updating% | 19.9% |
Physical Health Not Good | Data is updating% | 14.0% |
Depression | Data is updating% | 25.4% |
Smoking | Data is updating% | 21.9% |
Binge Drinking | Data is updating% | 15.7% |
Obesity | Data is updating% | 41.8% |
Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Hampton vs Bedford
- In Bedford, a higher percentage report poor mental health at 19.9% compared to 0.0% in Hampton.
- Higher depression rates are seen in Bedford at 25.4% versus 0.0% in Hampton.
- Bedford has a higher smoking rate at 21.9% compared to 0.0% in Hampton.
- More residents engage in binge drinking in Bedford at 15.7% compared to 0.0% in Hampton.
- Bedford has higher obesity rates at 41.8% compared to 0.0% in Hampton.
- There is a higher percentage of disabled individuals in Bedford at 11.0% compared to 0.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hampton | Bedford |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.3% (87) |
High School Diploma | 0.0% (Data is updating) | 22.5% (1,518) |
Less than High School | 0.0% (Data is updating) | 19.7% (1,324) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.5% (909) |
Education Levels Comparison: Hampton vs Bedford
- In Bedford, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Hampton.
- In Bedford, the rate of residents with high school diplomas is higher at 22.5% compared to 0.0% in Hampton.
- The percentage of residents with less than a high school education is higher in Bedford at 19.7%, compared to 0.0% in Hampton.
- In Bedford, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 0.0% 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.