Demographics details for Cuyahoga falls, OH vs Orange, CA
Population Overview
Compare main population characteristics in Cuyahoga falls, OH vs Orange, CA.
| Data | Cuyahoga falls | Orange |
|---|---|---|
| Population | 50,655 | 136,178 |
| Median Age | 37.8 years | 36.5 years |
| Median Income | $67,922 | $109,335 |
| Married Families | 41.0% | 40.0% |
| Poverty Level | 7% | 9% |
| Unemployment Rate | 4.8 | 4.1 |
Population Comparison: Cuyahoga falls vs Orange
- The population in Orange is higher at 136,178, compared to 50,655 in Cuyahoga falls.
- Residents in Cuyahoga falls have a higher median age of 37.8 years compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335, compared to $67,922 in Cuyahoga falls.
- A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 40.0% in Orange.
- The poverty level is higher in Orange at 9%, compared to 7% in Cuyahoga falls.
- The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 4.1% in Orange.
Demographics
Demographics Cuyahoga falls vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Cuyahoga falls | Orange |
|---|---|---|
| Black | 5 | 2 |
| White | 81 | 29 |
| Asian | 6 | 14 |
| Hispanic | 3 | 40 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cuyahoga falls vs Orange
- A higher percentage of Black residents are in Cuyahoga falls at 5% compared to 2% in Orange.
- Cuyahoga falls has a higher percentage of White residents at 81% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 6% in Cuyahoga falls.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 3% in Cuyahoga falls.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 5% in Cuyahoga falls.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Cuyahoga falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cuyahoga falls | Orange |
|---|---|---|
| Mental Health Not Good | 17.1% | 14.9% |
| Physical Health Not Good | 11.1% | 10.2% |
| Depression | 25.1% | 17.9% |
| Smoking | 18.5% | 10.5% |
| Binge Drinking | 18.8% | 16.8% |
| Obesity | 41.1% | 27.1% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Cuyahoga falls vs Orange
- More residents in Cuyahoga falls report poor mental health at 17.1% compared to 14.9% in Orange.
- Depression is more prevalent in Cuyahoga falls at 25.1% compared to 17.9% in Orange.
- Smoking is more prevalent in Cuyahoga falls at 18.5% compared to 10.5% in Orange.
- Binge drinking is more common in Cuyahoga falls at 18.8% compared to 16.8% in Orange.
- Obesity rates are higher in Cuyahoga falls at 41.1% compared to 27.1% in Orange.
- Disability percentages are higher in Cuyahoga falls at 13.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cuyahoga falls | Orange |
|---|---|---|
| No Schooling | 1.6% (825) | 1.8% (2,483) |
| High School Diploma | 19.4% (9,813) | 11.0% (14,986) |
| Less than High School | 6.3% (3,197) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 26.1% (13,215) | 28.2% (38,372) |
Education Levels Comparison: Cuyahoga falls vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% 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 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 6.3% in Cuyahoga falls.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 26.1% in Cuyahoga falls.
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.