Demographics details for Tipp city, OH vs Chesapeake, VA
Population Overview
Compare main population characteristics in Tipp city, OH vs Chesapeake, VA.
| Data | Tipp city | Chesapeake |
|---|---|---|
| Population | 10,424 | 252,488 |
| Median Age | 40.1 years | 37.4 years |
| Median Income | $74,178 | $92,703 |
| Married Families | 46.0% | 43.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.2 | 3.0 |
Population Comparison: Tipp city vs Chesapeake
- The population in Chesapeake is higher at 252,488, compared to 10,424 in Tipp city.
- Residents in Tipp city have a higher median age of 40.1 years compared to 37.4 years in Chesapeake.
- Chesapeake has a higher median income of $92,703, compared to $74,178 in Tipp city.
- A higher percentage of married families is found in Tipp city at 46.0% compared to 43.0% in Chesapeake.
- The poverty level is higher in Chesapeake at 8%, compared to 5% in Tipp city.
- The unemployment rate in Tipp city is higher at 3.2%, compared to 3.0% in Chesapeake.
Demographics
Demographics Tipp city vs Chesapeake provide insight into the diversity of the communities to compare.
| Demographic | Tipp city | Chesapeake |
|---|---|---|
| Black | 1 | 29 |
| White | 92 | 53 |
| Asian | 2 | 4 |
| Hispanic | 1 | 7 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tipp city vs Chesapeake
- In Chesapeake, the percentage of Black residents is higher at 29% compared to 1% in Tipp city.
- Tipp city has a higher percentage of White residents at 92% compared to 53% in Chesapeake.
- In Chesapeake, the Asian population stands at 4%, greater than 2% in Tipp city.
- Chesapeake has a higher percentage of Hispanic residents at 7%, compared to 1% in Tipp city.
- The percentage of residents identifying as two or more races is higher in Chesapeake at 7%, compared to 4% in Tipp city.
- The percentage of American Indian residents is the same in both Tipp city and Chesapeake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tipp city | Chesapeake |
|---|---|---|
| Mental Health Not Good | 15.4% | 15.9% |
| Physical Health Not Good | 9.5% | 10.0% |
| Depression | 21.5% | 20.9% |
| Smoking | 15.4% | 14.8% |
| Binge Drinking | 19.2% | 16.1% |
| Obesity | 36.7% | 36.1% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Tipp city vs Chesapeake
- In Chesapeake, a higher percentage report poor mental health at 15.9% compared to 15.4% in Tipp city.
- Depression is more prevalent in Tipp city at 21.5% compared to 20.9% in Chesapeake.
- Smoking is more prevalent in Tipp city at 15.4% compared to 14.8% in Chesapeake.
- Binge drinking is more common in Tipp city at 19.2% compared to 16.1% in Chesapeake.
- Obesity rates are higher in Tipp city at 36.7% compared to 36.1% in Chesapeake.
- Disability percentages are the same in both Tipp city and Chesapeake at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tipp city | Chesapeake |
|---|---|---|
| No Schooling | 0.6% (61) | 0.8% (2,039) |
| High School Diploma | 15.5% (1,616) | 13.1% (33,024) |
| Less than High School | 6.0% (624) | 7.0% (17,684) |
| Bachelor's Degree and Higher | 23.6% (2,455) | 23.8% (60,160) |
Education Levels Comparison: Tipp city vs Chesapeake
- In Chesapeake, a larger percentage of residents lack formal schooling at 0.8% compared to 0.6% in Tipp city.
- A higher percentage of residents in Tipp city hold a high school diploma at 15.5% compared to 13.1% in Chesapeake.
- The percentage of residents with less than a high school education is higher in Chesapeake at 7.0%, compared to 6.0% in Tipp city.
- In Chesapeake, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 23.6% in Tipp 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.