Demographics details for Woodstock, VA vs Cuyahoga falls, OH
Population Overview
Compare main population characteristics in Woodstock, VA vs Cuyahoga falls, OH.
Data | Woodstock | Cuyahoga falls |
---|---|---|
Population | 5,907 | 50,655 |
Median Age | 38.4 years | 37.8 years |
Median Income | $64,470 | $67,922 |
Married Families | 32.0% | 41.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 2.5 | 4.8 |
Population Comparison: Woodstock vs Cuyahoga falls
- The population in Cuyahoga falls is higher at 50,655, compared to 5,907 in Woodstock.
- Residents in Woodstock have a higher median age of 38.4 years compared to 37.8 years in Cuyahoga falls.
- Cuyahoga falls has a higher median income of $67,922, compared to $64,470 in Woodstock.
- In Cuyahoga falls, the percentage of married families is higher at 41.0%, compared to 32.0% in Woodstock.
- Woodstock has a higher poverty level at 10% compared to 7% in Cuyahoga falls.
- Cuyahoga falls has a higher unemployment rate at 4.8% compared to 2.5% in Woodstock.
Demographics
Demographics Woodstock vs Cuyahoga falls provide insight into the diversity of the communities to compare.
Demographic | Woodstock | Cuyahoga falls |
---|---|---|
Black | 6 | 5 |
White | 60 | 81 |
Asian | 4 | 6 |
Hispanic | 19 | 3 |
Two or More Races | 11 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Cuyahoga falls
- A higher percentage of Black residents are in Woodstock at 6% compared to 5% in Cuyahoga falls.
- The percentage of White residents is higher in Cuyahoga falls at 81% compared to 60% in Woodstock.
- In Cuyahoga falls, the Asian population stands at 6%, greater than 4% in Woodstock.
- The Hispanic community is larger in Woodstock at 19% compared to 3% in Cuyahoga falls.
- More residents identify as two or more races in Woodstock at 11% compared to 5% in Cuyahoga falls.
- The percentage of American Indian residents is the same in both Woodstock and Cuyahoga falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodstock | Cuyahoga falls |
---|---|---|
Mental Health Not Good | 17.9% | 17.1% |
Physical Health Not Good | 12.3% | 11.1% |
Depression | 24.9% | 25.1% |
Smoking | 18.2% | 18.5% |
Binge Drinking | 16.2% | 18.8% |
Obesity | 38.9% | 41.1% |
Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Woodstock vs Cuyahoga falls
- More residents in Woodstock report poor mental health at 17.9% compared to 17.1% in Cuyahoga falls.
- Higher depression rates are seen in Cuyahoga falls at 25.1% versus 24.9% in Woodstock.
- Cuyahoga falls has a higher smoking rate at 18.5% compared to 18.2% in Woodstock.
- More residents engage in binge drinking in Cuyahoga falls at 18.8% compared to 16.2% in Woodstock.
- Cuyahoga falls has higher obesity rates at 41.1% compared to 38.9% in Woodstock.
- Disability percentages are higher in Woodstock at 21.0% 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 | Woodstock | Cuyahoga falls |
---|---|---|
No Schooling | 2.0% (118) | 1.6% (825) |
High School Diploma | 19.0% (1,121) | 19.4% (9,813) |
Less than High School | 17.2% (1,018) | 6.3% (3,197) |
Bachelor's Degree and Higher | 16.4% (968) | 26.1% (13,215) |
Education Levels Comparison: Woodstock vs Cuyahoga falls
- A higher percentage of residents in Woodstock have no formal schooling at 2.0% compared to 1.6% in Cuyahoga falls.
- In Cuyahoga falls, the rate of residents with high school diplomas is higher at 19.4% compared to 19.0% in Woodstock.
- More residents in Woodstock have less than a high school education at 17.2% compared to 6.3% in Cuyahoga falls.
- In Cuyahoga falls, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 16.4% in Woodstock.
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.