Demographics details for Cuyahoga falls, OH vs Tampa, FL
Population Overview
Compare main population characteristics in Cuyahoga falls, OH vs Tampa, FL.
Data | Cuyahoga falls | Tampa |
---|---|---|
Population | 50,655 | 398,173 |
Median Age | 37.8 years | 35.5 years |
Median Income | $67,922 | $66,802 |
Married Families | 41.0% | 31.0% |
Poverty Level | 7% | 17% |
Unemployment Rate | 4.8 | 3.7 |
Population Comparison: Cuyahoga falls vs Tampa
- The population in Tampa is higher at 398,173, compared to 50,655 in Cuyahoga falls.
- Residents in Cuyahoga falls have a higher median age of 37.8 years compared to 35.5 years in Tampa.
- Cuyahoga falls has a higher median income of $67,922 compared to $66,802 in Tampa.
- A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 31.0% in Tampa.
- The poverty level is higher in Tampa at 17%, compared to 7% in Cuyahoga falls.
- The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 3.7% in Tampa.
Demographics
Demographics Cuyahoga falls vs Tampa provide insight into the diversity of the communities to compare.
Demographic | Cuyahoga falls | Tampa |
---|---|---|
Black | 5 | 21 |
White | 81 | 35 |
Asian | 6 | 5 |
Hispanic | 3 | 26 |
Two or More Races | 5 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuyahoga falls vs Tampa
- In Tampa, the percentage of Black residents is higher at 21% compared to 5% in Cuyahoga falls.
- Cuyahoga falls has a higher percentage of White residents at 81% compared to 35% in Tampa.
- The Asian population is larger in Cuyahoga falls at 6% compared to 5% in Tampa.
- Tampa has a higher percentage of Hispanic residents at 26%, compared to 3% in Cuyahoga falls.
- The percentage of residents identifying as two or more races is higher in Tampa at 13%, compared to 5% in Cuyahoga falls.
- The percentage of American Indian residents is the same in both Cuyahoga falls and Tampa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cuyahoga falls | Tampa |
---|---|---|
Mental Health Not Good | 17.1% | 15.8% |
Physical Health Not Good | 11.1% | 11.8% |
Depression | 25.1% | 17.6% |
Smoking | 18.5% | 18.0% |
Binge Drinking | 18.8% | 15.8% |
Obesity | 41.1% | 31.6% |
Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Cuyahoga falls vs Tampa
- More residents in Cuyahoga falls report poor mental health at 17.1% compared to 15.8% in Tampa.
- Depression is more prevalent in Cuyahoga falls at 25.1% compared to 17.6% in Tampa.
- Smoking is more prevalent in Cuyahoga falls at 18.5% compared to 18.0% in Tampa.
- Binge drinking is more common in Cuyahoga falls at 18.8% compared to 15.8% in Tampa.
- Obesity rates are higher in Cuyahoga falls at 41.1% compared to 31.6% in Tampa.
- Disability percentages are higher in Cuyahoga falls at 13.0% compared to 11.0% in Tampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cuyahoga falls | Tampa |
---|---|---|
No Schooling | 1.6% (825) | 1.2% (4,784) |
High School Diploma | 19.4% (9,813) | 13.0% (51,749) |
Less than High School | 6.3% (3,197) | 12.2% (48,642) |
Bachelor's Degree and Higher | 26.1% (13,215) | 28.7% (114,410) |
Education Levels Comparison: Cuyahoga falls vs Tampa
- A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 1.2% in Tampa.
- A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 13.0% in Tampa.
- The percentage of residents with less than a high school education is higher in Tampa at 12.2%, compared to 6.3% in Cuyahoga falls.
- In Tampa, a larger share of residents have a bachelor's degree or higher at 28.7% compared to 26.1% in Cuyahoga falls.
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.