Demographics details for Columbia, SC vs Cuyahoga falls, OH
Population Overview
Compare main population characteristics in Columbia, SC vs Cuyahoga falls, OH.
Data | Columbia | Cuyahoga falls |
---|---|---|
Population | 139,698 | 50,655 |
Median Age | 28.3 years | 37.8 years |
Median Income | $54,095 | $67,922 |
Married Families | 25.0% | 41.0% |
Poverty Level | 17% | 7% |
Unemployment Rate | 5.8 | 4.8 |
Population Comparison: Columbia vs Cuyahoga falls
- In Columbia, the population is higher at 139,698, compared to 50,655 in Cuyahoga falls.
- The median age in Cuyahoga falls is higher at 37.8 years, compared to 28.3 years in Columbia.
- Cuyahoga falls has a higher median income of $67,922, compared to $54,095 in Columbia.
- In Cuyahoga falls, the percentage of married families is higher at 41.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 7% in Cuyahoga falls.
- The unemployment rate in Columbia is higher at 5.8%, compared to 4.8% in Cuyahoga falls.
Demographics
Demographics Columbia vs Cuyahoga falls provide insight into the diversity of the communities to compare.
Demographic | Columbia | Cuyahoga falls |
---|---|---|
Black | 40 | 5 |
White | 48 | 81 |
Asian | 2 | 6 |
Hispanic | 5 | 3 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Cuyahoga falls
- A higher percentage of Black residents are in Columbia at 40% compared to 5% in Cuyahoga falls.
- The percentage of White residents is higher in Cuyahoga falls at 81% compared to 48% in Columbia.
- In Cuyahoga falls, the Asian population stands at 6%, greater than 2% in Columbia.
- The Hispanic community is larger in Columbia at 5% compared to 3% in Cuyahoga falls.
- Both Columbia and Cuyahoga falls 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 Columbia and Cuyahoga falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbia | Cuyahoga falls |
---|---|---|
Mental Health Not Good | 18.6% | 17.1% |
Physical Health Not Good | 13.1% | 11.1% |
Depression | 20.8% | 25.1% |
Smoking | 19.1% | 18.5% |
Binge Drinking | 18.1% | 18.8% |
Obesity | 39.0% | 41.1% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Columbia vs Cuyahoga falls
- More residents in Columbia report poor mental health at 18.6% compared to 17.1% in Cuyahoga falls.
- Higher depression rates are seen in Cuyahoga falls at 25.1% versus 20.8% in Columbia.
- Smoking is more prevalent in Columbia at 19.1% compared to 18.5% in Cuyahoga falls.
- More residents engage in binge drinking in Cuyahoga falls at 18.8% compared to 18.1% in Columbia.
- Cuyahoga falls has higher obesity rates at 41.1% compared to 39.0% in Columbia.
- There is a higher percentage of disabled individuals in Cuyahoga falls at 13.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbia | Cuyahoga falls |
---|---|---|
No Schooling | 0.4% (555) | 1.6% (825) |
High School Diploma | 8.4% (11,712) | 19.4% (9,813) |
Less than High School | 5.9% (8,257) | 6.3% (3,197) |
Bachelor's Degree and Higher | 24.7% (34,575) | 26.1% (13,215) |
Education Levels Comparison: Columbia vs Cuyahoga falls
- In Cuyahoga falls, a larger percentage of residents lack formal schooling at 1.6% compared to 0.4% in Columbia.
- In Cuyahoga falls, the rate of residents with high school diplomas is higher at 19.4% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Cuyahoga falls at 6.3%, compared to 5.9% in Columbia.
- In Cuyahoga falls, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 24.7% in Columbia.
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.