Demographics details for Cuyahoga falls, OH vs Waverly, TN
Population Overview
Compare main population characteristics in Cuyahoga falls, OH vs Waverly, TN.
Data | Cuyahoga falls | Waverly |
---|---|---|
Population | 50,655 | 4,297 |
Median Age | 37.8 years | 46.7 years |
Median Income | $67,922 | $43,750 |
Married Families | 41.0% | 35.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 4.8 | 4.5 |
Population Comparison: Cuyahoga falls vs Waverly
- In Cuyahoga falls, the population is higher at 50,655, compared to 4,297 in Waverly.
- The median age in Waverly is higher at 46.7 years, compared to 37.8 years in Cuyahoga falls.
- Cuyahoga falls has a higher median income of $67,922 compared to $43,750 in Waverly.
- A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 35.0% in Waverly.
- The poverty level is higher in Waverly at 12%, compared to 7% in Cuyahoga falls.
- The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 4.5% in Waverly.
Demographics
Demographics Cuyahoga falls vs Waverly provide insight into the diversity of the communities to compare.
Demographic | Cuyahoga falls | Waverly |
---|---|---|
Black | 5 | 2 |
White | 81 | 91 |
Asian | 6 | Data is updating |
Hispanic | 3 | 2 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuyahoga falls vs Waverly
- A higher percentage of Black residents are in Cuyahoga falls at 5% compared to 2% in Waverly.
- The percentage of White residents is higher in Waverly at 91% compared to 81% in Cuyahoga falls.
- The Asian population is larger in Cuyahoga falls at 6% compared to 0% in Waverly.
- The Hispanic community is larger in Cuyahoga falls at 3% compared to 2% in Waverly.
- Both Cuyahoga falls and Waverly have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Cuyahoga falls and Waverly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cuyahoga falls | Waverly |
---|---|---|
Mental Health Not Good | 17.1% | 19.9% |
Physical Health Not Good | 11.1% | 13.9% |
Depression | 25.1% | 28.8% |
Smoking | 18.5% | 23.6% |
Binge Drinking | 18.8% | 15.6% |
Obesity | 41.1% | 37.8% |
Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: Cuyahoga falls vs Waverly
- In Waverly, a higher percentage report poor mental health at 19.9% compared to 17.1% in Cuyahoga falls.
- Higher depression rates are seen in Waverly at 28.8% versus 25.1% in Cuyahoga falls.
- Waverly has a higher smoking rate at 23.6% compared to 18.5% in Cuyahoga falls.
- Binge drinking is more common in Cuyahoga falls at 18.8% compared to 15.6% in Waverly.
- Obesity rates are higher in Cuyahoga falls at 41.1% compared to 37.8% in Waverly.
- There is a higher percentage of disabled individuals in Waverly at 19.0% 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 | Cuyahoga falls | Waverly |
---|---|---|
No Schooling | 1.6% (825) | 1.0% (41) |
High School Diploma | 19.4% (9,813) | 18.4% (792) |
Less than High School | 6.3% (3,197) | 21.9% (943) |
Bachelor's Degree and Higher | 26.1% (13,215) | 16.5% (709) |
Education Levels Comparison: Cuyahoga falls vs Waverly
- A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 1.0% in Waverly.
- A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 18.4% in Waverly.
- The percentage of residents with less than a high school education is higher in Waverly at 21.9%, compared to 6.3% in Cuyahoga falls.
- A higher percentage of residents in Cuyahoga falls hold a bachelor's degree or higher at 26.1% compared to 16.5% in Waverly.
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.