Demographics details for Felicity, OH vs Hampton, NH
Population Overview
Compare main population characteristics in Felicity, OH vs Hampton, NH.
Data | Felicity | Hampton |
---|---|---|
Population | 653 | 15,564 |
Median Age | 39.5 years | 45.0 years |
Median Income | $34,821 | $75,000 |
Married Families | 26.0% | 60.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 4.5 | 2.4 |
Population Comparison: Felicity vs Hampton
- The population in Hampton is higher at 15,564, compared to 653 in Felicity.
- The median age in Hampton is higher at 45.0 years, compared to 39.5 years in Felicity.
- Hampton has a higher median income of $75,000, compared to $34,821 in Felicity.
- In Hampton, the percentage of married families is higher at 60.0%, compared to 26.0% in Felicity.
- Felicity has a higher poverty level at 10% compared to 6% in Hampton.
- The unemployment rate in Felicity is higher at 4.5%, compared to 2.4% in Hampton.
Demographics
Demographics Felicity vs Hampton provide insight into the diversity of the communities to compare.
Demographic | Felicity | Hampton |
---|---|---|
Black | Data is updating | 1 |
White | 100 | 95 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 1 |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Felicity vs Hampton
- In Hampton, the percentage of Black residents is higher at 1% compared to 0% in Felicity.
- Felicity has a higher percentage of White residents at 100% compared to 95% in Hampton.
- In Hampton, the Asian population stands at 2%, greater than 0% in Felicity.
- Hampton has a higher percentage of Hispanic residents at 1%, compared to 0% in Felicity.
- The percentage of residents identifying as two or more races is higher in Hampton at 1%, compared to 0% in Felicity.
- The percentage of American Indian residents is the same in both Felicity and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Felicity | Hampton |
---|---|---|
Mental Health Not Good | 18.3% | Data is updating% |
Physical Health Not Good | 12.3% | Data is updating% |
Depression | 25.3% | Data is updating% |
Smoking | 22.8% | Data is updating% |
Binge Drinking | 19.8% | Data is updating% |
Obesity | 36.8% | Data is updating% |
Disability Percentage | 31.0% | Data is updating% |
Health Statistics Comparison: Felicity vs Hampton
- More residents in Felicity report poor mental health at 18.3% compared to 0.0% in Hampton.
- Depression is more prevalent in Felicity at 25.3% compared to 0.0% in Hampton.
- Smoking is more prevalent in Felicity at 22.8% compared to 0.0% in Hampton.
- Binge drinking is more common in Felicity at 19.8% compared to 0.0% in Hampton.
- Obesity rates are higher in Felicity at 36.8% compared to 0.0% in Hampton.
- Disability percentages are higher in Felicity at 31.0% 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 | Felicity | Hampton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 18.2% (119) | 0.0% (Data is updating) |
Less than High School | 25.7% (168) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 3.5% (23) | 0.0% (Data is updating) |
Education Levels Comparison: Felicity vs Hampton
- The percentage of residents with no formal schooling is the same in both Felicity and Hampton at 0.0%.
- A higher percentage of residents in Felicity hold a high school diploma at 18.2% compared to 0.0% in Hampton.
- More residents in Felicity have less than a high school education at 25.7% compared to 0.0% in Hampton.
- A higher percentage of residents in Felicity hold a bachelor's degree or higher at 3.5% 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.