Demographics details for Hobart, IN vs Cuyahoga falls, OH
Population Overview
Compare main population characteristics in Hobart, IN vs Cuyahoga falls, OH.
Data | Hobart | Cuyahoga falls |
---|---|---|
Population | 29,458 | 50,655 |
Median Age | 39.9 years | 37.8 years |
Median Income | $69,398 | $67,922 |
Married Families | 37.0% | 41.0% |
Poverty Level | 8% | 7% |
Unemployment Rate | 5.3 | 4.8 |
Population Comparison: Hobart vs Cuyahoga falls
- The population in Cuyahoga falls is higher at 50,655, compared to 29,458 in Hobart.
- Residents in Hobart have a higher median age of 39.9 years compared to 37.8 years in Cuyahoga falls.
- Hobart has a higher median income of $69,398 compared to $67,922 in Cuyahoga falls.
- In Cuyahoga falls, the percentage of married families is higher at 41.0%, compared to 37.0% in Hobart.
- Hobart has a higher poverty level at 8% compared to 7% in Cuyahoga falls.
- The unemployment rate in Hobart is higher at 5.3%, compared to 4.8% in Cuyahoga falls.
Demographics
Demographics Hobart vs Cuyahoga falls provide insight into the diversity of the communities to compare.
Demographic | Hobart | Cuyahoga falls |
---|---|---|
Black | 11 | 5 |
White | 63 | 81 |
Asian | 2 | 6 |
Hispanic | 17 | 3 |
Two or More Races | 7 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hobart vs Cuyahoga falls
- A higher percentage of Black residents are in Hobart at 11% compared to 5% in Cuyahoga falls.
- The percentage of White residents is higher in Cuyahoga falls at 81% compared to 63% in Hobart.
- In Cuyahoga falls, the Asian population stands at 6%, greater than 2% in Hobart.
- The Hispanic community is larger in Hobart at 17% compared to 3% in Cuyahoga falls.
- More residents identify as two or more races in Hobart at 7% compared to 5% in Cuyahoga falls.
- The percentage of American Indian residents is the same in both Hobart and Cuyahoga falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hobart | Cuyahoga falls |
---|---|---|
Mental Health Not Good | 16.5% | 17.1% |
Physical Health Not Good | 11.3% | 11.1% |
Depression | 24.5% | 25.1% |
Smoking | 18.6% | 18.5% |
Binge Drinking | 18.9% | 18.8% |
Obesity | 38.1% | 41.1% |
Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Hobart vs Cuyahoga falls
- In Cuyahoga falls, a higher percentage report poor mental health at 17.1% compared to 16.5% in Hobart.
- Higher depression rates are seen in Cuyahoga falls at 25.1% versus 24.5% in Hobart.
- Smoking is more prevalent in Hobart at 18.6% compared to 18.5% in Cuyahoga falls.
- Binge drinking is more common in Hobart at 18.9% compared to 18.8% in Cuyahoga falls.
- Cuyahoga falls has higher obesity rates at 41.1% compared to 38.1% in Hobart.
- Disability percentages are higher in Hobart at 14.0% compared to 13.0% in Cuyahoga falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hobart | Cuyahoga falls |
---|---|---|
No Schooling | 0.7% (217) | 1.6% (825) |
High School Diploma | 24.5% (7,227) | 19.4% (9,813) |
Less than High School | 8.2% (2,428) | 6.3% (3,197) |
Bachelor's Degree and Higher | 16.3% (4,813) | 26.1% (13,215) |
Education Levels Comparison: Hobart vs Cuyahoga falls
- In Cuyahoga falls, a larger percentage of residents lack formal schooling at 1.6% compared to 0.7% in Hobart.
- A higher percentage of residents in Hobart hold a high school diploma at 24.5% compared to 19.4% in Cuyahoga falls.
- More residents in Hobart have less than a high school education at 8.2% compared to 6.3% in Cuyahoga falls.
- In Cuyahoga falls, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 16.3% in Hobart.
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.