Demographics details for Cuyahoga falls, OH vs Buffalo, IA
Population Overview
Compare main population characteristics in Cuyahoga falls, OH vs Buffalo, IA.
Data | Cuyahoga falls | Buffalo |
---|---|---|
Population | 50,655 | 1,164 |
Median Age | 37.8 years | 40.4 years |
Median Income | $67,922 | $74,667 |
Married Families | 41.0% | 27.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 4.8 | 3.0 |
Population Comparison: Cuyahoga falls vs Buffalo
- In Cuyahoga falls, the population is higher at 50,655, compared to 1,164 in Buffalo.
- The median age in Buffalo is higher at 40.4 years, compared to 37.8 years in Cuyahoga falls.
- Buffalo has a higher median income of $74,667, compared to $67,922 in Cuyahoga falls.
- A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 27.0% in Buffalo.
- Cuyahoga falls has a higher poverty level at 7% compared to 5% in Buffalo.
- The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 3.0% in Buffalo.
Demographics
Demographics Cuyahoga falls vs Buffalo provide insight into the diversity of the communities to compare.
Demographic | Cuyahoga falls | Buffalo |
---|---|---|
Black | 5 | Data is updating |
White | 81 | 94 |
Asian | 6 | 1 |
Hispanic | 3 | 4 |
Two or More Races | 5 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuyahoga falls vs Buffalo
- A higher percentage of Black residents are in Cuyahoga falls at 5% compared to 0% in Buffalo.
- The percentage of White residents is higher in Buffalo at 94% compared to 81% in Cuyahoga falls.
- The Asian population is larger in Cuyahoga falls at 6% compared to 1% in Buffalo.
- Buffalo has a higher percentage of Hispanic residents at 4%, compared to 3% in Cuyahoga falls.
- More residents identify as two or more races in Cuyahoga falls at 5% compared to 1% in Buffalo.
- The percentage of American Indian residents is the same in both Cuyahoga falls and Buffalo at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cuyahoga falls | Buffalo |
---|---|---|
Mental Health Not Good | 17.1% | 14.7% |
Physical Health Not Good | 11.1% | 8.7% |
Depression | 25.1% | 18.3% |
Smoking | 18.5% | 16.6% |
Binge Drinking | 18.8% | 22.6% |
Obesity | 41.1% | 35.8% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Cuyahoga falls vs Buffalo
- More residents in Cuyahoga falls report poor mental health at 17.1% compared to 14.7% in Buffalo.
- Depression is more prevalent in Cuyahoga falls at 25.1% compared to 18.3% in Buffalo.
- Smoking is more prevalent in Cuyahoga falls at 18.5% compared to 16.6% in Buffalo.
- More residents engage in binge drinking in Buffalo at 22.6% compared to 18.8% in Cuyahoga falls.
- Obesity rates are higher in Cuyahoga falls at 41.1% compared to 35.8% in Buffalo.
- There is a higher percentage of disabled individuals in Buffalo at 16.0% 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 | Buffalo |
---|---|---|
No Schooling | 1.6% (825) | 0.6% (7) |
High School Diploma | 19.4% (9,813) | 17.9% (208) |
Less than High School | 6.3% (3,197) | 16.3% (190) |
Bachelor's Degree and Higher | 26.1% (13,215) | 6.4% (75) |
Education Levels Comparison: Cuyahoga falls vs Buffalo
- A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 0.6% in Buffalo.
- A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 17.9% in Buffalo.
- The percentage of residents with less than a high school education is higher in Buffalo at 16.3%, 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 6.4% in Buffalo.
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.