Demographics details for Cuyahoga falls, OH vs Cornelia, GA
Population Overview
Compare main population characteristics in Cuyahoga falls, OH vs Cornelia, GA.
Data | Cuyahoga falls | Cornelia |
---|---|---|
Population | 50,655 | 5,004 |
Median Age | 37.8 years | 30.4 years |
Median Income | $67,922 | $46,211 |
Married Families | 41.0% | 32.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 4.8 | 3.5 |
Population Comparison: Cuyahoga falls vs Cornelia
- In Cuyahoga falls, the population is higher at 50,655, compared to 5,004 in Cornelia.
- Residents in Cuyahoga falls have a higher median age of 37.8 years compared to 30.4 years in Cornelia.
- Cuyahoga falls has a higher median income of $67,922 compared to $46,211 in Cornelia.
- A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 32.0% in Cornelia.
- The poverty level is higher in Cornelia at 12%, compared to 7% in Cuyahoga falls.
- The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 3.5% in Cornelia.
Demographics
Demographics Cuyahoga falls vs Cornelia provide insight into the diversity of the communities to compare.
Demographic | Cuyahoga falls | Cornelia |
---|---|---|
Black | 5 | 9 |
White | 81 | 43 |
Asian | 6 | 3 |
Hispanic | 3 | 32 |
Two or More Races | 5 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuyahoga falls vs Cornelia
- In Cornelia, the percentage of Black residents is higher at 9% compared to 5% in Cuyahoga falls.
- Cuyahoga falls has a higher percentage of White residents at 81% compared to 43% in Cornelia.
- The Asian population is larger in Cuyahoga falls at 6% compared to 3% in Cornelia.
- Cornelia has a higher percentage of Hispanic residents at 32%, compared to 3% in Cuyahoga falls.
- The percentage of residents identifying as two or more races is higher in Cornelia at 13%, compared to 5% in Cuyahoga falls.
- The percentage of American Indian residents is the same in both Cuyahoga falls and Cornelia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cuyahoga falls | Cornelia |
---|---|---|
Mental Health Not Good | 17.1% | 18.2% |
Physical Health Not Good | 11.1% | 14.7% |
Depression | 25.1% | 22.4% |
Smoking | 18.5% | 20.2% |
Binge Drinking | 18.8% | 14.4% |
Obesity | 41.1% | 34.6% |
Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Cuyahoga falls vs Cornelia
- In Cornelia, a higher percentage report poor mental health at 18.2% compared to 17.1% in Cuyahoga falls.
- Depression is more prevalent in Cuyahoga falls at 25.1% compared to 22.4% in Cornelia.
- Cornelia has a higher smoking rate at 20.2% compared to 18.5% in Cuyahoga falls.
- Binge drinking is more common in Cuyahoga falls at 18.8% compared to 14.4% in Cornelia.
- Obesity rates are higher in Cuyahoga falls at 41.1% compared to 34.6% in Cornelia.
- Disability percentages are the same in both Cuyahoga falls and Cornelia at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cuyahoga falls | Cornelia |
---|---|---|
No Schooling | 1.6% (825) | 3.6% (179) |
High School Diploma | 19.4% (9,813) | 9.5% (473) |
Less than High School | 6.3% (3,197) | 35.8% (1,790) |
Bachelor's Degree and Higher | 26.1% (13,215) | 12.5% (625) |
Education Levels Comparison: Cuyahoga falls vs Cornelia
- In Cornelia, a larger percentage of residents lack formal schooling at 3.6% compared to 1.6% in Cuyahoga falls.
- A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 9.5% in Cornelia.
- The percentage of residents with less than a high school education is higher in Cornelia at 35.8%, 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 12.5% in Cornelia.
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.