Demographics details for Cuyahoga falls, OH vs Welch, WV
Population Overview
Compare main population characteristics in Cuyahoga falls, OH vs Welch, WV.
| Data | Cuyahoga falls | Welch |
|---|---|---|
| Population | 50,655 | 3,446 |
| Median Age | 37.8 years | 41.2 years |
| Median Income | $67,922 | $32,109 |
| Married Families | 41.0% | 22.0% |
| Poverty Level | 7% | 18% |
| Unemployment Rate | 4.8 | 6.7 |
Population Comparison: Cuyahoga falls vs Welch
- In Cuyahoga falls, the population is higher at 50,655, compared to 3,446 in Welch.
- The median age in Welch is higher at 41.2 years, compared to 37.8 years in Cuyahoga falls.
- Cuyahoga falls has a higher median income of $67,922 compared to $32,109 in Welch.
- A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 22.0% in Welch.
- The poverty level is higher in Welch at 18%, compared to 7% in Cuyahoga falls.
- Welch has a higher unemployment rate at 6.7% compared to 4.8% in Cuyahoga falls.
Demographics
Demographics Cuyahoga falls vs Welch provide insight into the diversity of the communities to compare.
| Demographic | Cuyahoga falls | Welch |
|---|---|---|
| Black | 5 | 26 |
| White | 81 | 67 |
| Asian | 6 | Data is updating |
| Hispanic | 3 | 7 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuyahoga falls vs Welch
- In Welch, the percentage of Black residents is higher at 26% compared to 5% in Cuyahoga falls.
- Cuyahoga falls has a higher percentage of White residents at 81% compared to 67% in Welch.
- The Asian population is larger in Cuyahoga falls at 6% compared to 0% in Welch.
- Welch has a higher percentage of Hispanic residents at 7%, compared to 3% in Cuyahoga falls.
- More residents identify as two or more races in Cuyahoga falls at 5% compared to 0% in Welch.
- The percentage of American Indian residents is the same in both Cuyahoga falls and Welch at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cuyahoga falls | Welch |
|---|---|---|
| Mental Health Not Good | 17.1% | 22.9% |
| Physical Health Not Good | 11.1% | 18.5% |
| Depression | 25.1% | 29.4% |
| Smoking | 18.5% | 29.6% |
| Binge Drinking | 18.8% | 13.1% |
| Obesity | 41.1% | 42.9% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Cuyahoga falls vs Welch
- In Welch, a higher percentage report poor mental health at 22.9% compared to 17.1% in Cuyahoga falls.
- Higher depression rates are seen in Welch at 29.4% versus 25.1% in Cuyahoga falls.
- Welch has a higher smoking rate at 29.6% compared to 18.5% in Cuyahoga falls.
- Binge drinking is more common in Cuyahoga falls at 18.8% compared to 13.1% in Welch.
- Welch has higher obesity rates at 42.9% compared to 41.1% in Cuyahoga falls.
- There is a higher percentage of disabled individuals in Welch at 20.0% 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 | Welch |
|---|---|---|
| No Schooling | 1.6% (825) | 0.2% (7) |
| High School Diploma | 19.4% (9,813) | 31.5% (1,085) |
| Less than High School | 6.3% (3,197) | 33.5% (1,153) |
| Bachelor's Degree and Higher | 26.1% (13,215) | 6.1% (209) |
Education Levels Comparison: Cuyahoga falls vs Welch
- A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 0.2% in Welch.
- In Welch, the rate of residents with high school diplomas is higher at 31.5% compared to 19.4% in Cuyahoga falls.
- The percentage of residents with less than a high school education is higher in Welch at 33.5%, 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 6.1% in Welch.
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.