Demographics details for Chesapeake, VA vs Mitchell, IN
Population Overview
Compare main population characteristics in Chesapeake, VA vs Mitchell, IN.
Data | Chesapeake | Mitchell |
---|---|---|
Population | 252,488 | 3,940 |
Median Age | 37.4 years | 35.5 years |
Median Income | $92,703 | $51,025 |
Married Families | 43.0% | 32.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Chesapeake vs Mitchell
- In Chesapeake, the population is higher at 252,488, compared to 3,940 in Mitchell.
- Residents in Chesapeake have a higher median age of 37.4 years compared to 35.5 years in Mitchell.
- Chesapeake has a higher median income of $92,703 compared to $51,025 in Mitchell.
- A higher percentage of married families is found in Chesapeake at 43.0% compared to 32.0% in Mitchell.
- The poverty level is higher in Mitchell at 10%, compared to 8% in Chesapeake.
- Mitchell has a higher unemployment rate at 3.5% compared to 3.0% in Chesapeake.
Demographics
Demographics Chesapeake vs Mitchell provide insight into the diversity of the communities to compare.
Demographic | Chesapeake | Mitchell |
---|---|---|
Black | 29 | 1 |
White | 53 | 92 |
Asian | 4 | 4 |
Hispanic | 7 | 1 |
Two or More Races | 7 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Chesapeake vs Mitchell
- A higher percentage of Black residents are in Chesapeake at 29% compared to 1% in Mitchell.
- The percentage of White residents is higher in Mitchell at 92% compared to 53% in Chesapeake.
- Both Chesapeake and Mitchell have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Chesapeake at 7% compared to 1% in Mitchell.
- More residents identify as two or more races in Chesapeake at 7% compared to 2% in Mitchell.
- The percentage of American Indian residents is the same in both Chesapeake and Mitchell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chesapeake | Mitchell |
---|---|---|
Mental Health Not Good | 15.9% | 19.4% |
Physical Health Not Good | 10.0% | 13.7% |
Depression | 20.9% | 28.5% |
Smoking | 14.8% | 24.3% |
Binge Drinking | 16.1% | 15.9% |
Obesity | 36.1% | 43.5% |
Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Chesapeake vs Mitchell
- In Mitchell, a higher percentage report poor mental health at 19.4% compared to 15.9% in Chesapeake.
- Higher depression rates are seen in Mitchell at 28.5% versus 20.9% in Chesapeake.
- Mitchell has a higher smoking rate at 24.3% compared to 14.8% in Chesapeake.
- Binge drinking is more common in Chesapeake at 16.1% compared to 15.9% in Mitchell.
- Mitchell has higher obesity rates at 43.5% compared to 36.1% in Chesapeake.
- There is a higher percentage of disabled individuals in Mitchell at 21.0% compared to 11.0% in Chesapeake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chesapeake | Mitchell |
---|---|---|
No Schooling | 0.8% (2,039) | 1.6% (63) |
High School Diploma | 13.1% (33,024) | 20.4% (802) |
Less than High School | 7.0% (17,684) | 29.2% (1,152) |
Bachelor's Degree and Higher | 23.8% (60,160) | 9.8% (387) |
Education Levels Comparison: Chesapeake vs Mitchell
- In Mitchell, a larger percentage of residents lack formal schooling at 1.6% compared to 0.8% in Chesapeake.
- In Mitchell, the rate of residents with high school diplomas is higher at 20.4% compared to 13.1% in Chesapeake.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 7.0% in Chesapeake.
- A higher percentage of residents in Chesapeake hold a bachelor's degree or higher at 23.8% compared to 9.8% in Mitchell.
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.