Demographics details for Cuyahoga falls, OH vs Sugar land, TX
Population Overview
Compare main population characteristics in Cuyahoga falls, OH vs Sugar land, TX.
Data | Cuyahoga falls | Sugar land |
---|---|---|
Population | 50,655 | 109,414 |
Median Age | 37.8 years | 42.5 years |
Median Income | $67,922 | $132,247 |
Married Families | 41.0% | 52.0% |
Poverty Level | 7% | 6% |
Unemployment Rate | 4.8 | 4.0 |
Population Comparison: Cuyahoga falls vs Sugar land
- The population in Sugar land is higher at 109,414, compared to 50,655 in Cuyahoga falls.
- The median age in Sugar land is higher at 42.5 years, compared to 37.8 years in Cuyahoga falls.
- Sugar land has a higher median income of $132,247, compared to $67,922 in Cuyahoga falls.
- In Sugar land, the percentage of married families is higher at 52.0%, compared to 41.0% in Cuyahoga falls.
- Cuyahoga falls has a higher poverty level at 7% compared to 6% in Sugar land.
- The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 4.0% in Sugar land.
Demographics
Demographics Cuyahoga falls vs Sugar land provide insight into the diversity of the communities to compare.
Demographic | Cuyahoga falls | Sugar land |
---|---|---|
Black | 5 | 7 |
White | 81 | 33 |
Asian | 6 | 39 |
Hispanic | 3 | 13 |
Two or More Races | 5 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cuyahoga falls vs Sugar land
- In Sugar land, the percentage of Black residents is higher at 7% compared to 5% in Cuyahoga falls.
- Cuyahoga falls has a higher percentage of White residents at 81% compared to 33% in Sugar land.
- In Sugar land, the Asian population stands at 39%, greater than 6% in Cuyahoga falls.
- Sugar land has a higher percentage of Hispanic residents at 13%, compared to 3% in Cuyahoga falls.
- The percentage of residents identifying as two or more races is higher in Sugar land at 8%, compared to 5% in Cuyahoga falls.
- The percentage of American Indian residents is the same in both Cuyahoga falls and Sugar land at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cuyahoga falls | Sugar land |
---|---|---|
Mental Health Not Good | 17.1% | 12.5% |
Physical Health Not Good | 11.1% | 7.4% |
Depression | 25.1% | 16.9% |
Smoking | 18.5% | 9.6% |
Binge Drinking | 18.8% | 16.0% |
Obesity | 41.1% | 25.0% |
Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Cuyahoga falls vs Sugar land
- More residents in Cuyahoga falls report poor mental health at 17.1% compared to 12.5% in Sugar land.
- Depression is more prevalent in Cuyahoga falls at 25.1% compared to 16.9% in Sugar land.
- Smoking is more prevalent in Cuyahoga falls at 18.5% compared to 9.6% in Sugar land.
- Binge drinking is more common in Cuyahoga falls at 18.8% compared to 16.0% in Sugar land.
- Obesity rates are higher in Cuyahoga falls at 41.1% compared to 25.0% in Sugar land.
- Disability percentages are higher in Cuyahoga falls at 13.0% compared to 7.0% in Sugar land.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cuyahoga falls | Sugar land |
---|---|---|
No Schooling | 1.6% (825) | 1.2% (1,314) |
High School Diploma | 19.4% (9,813) | 7.3% (7,972) |
Less than High School | 6.3% (3,197) | 4.3% (4,753) |
Bachelor's Degree and Higher | 26.1% (13,215) | 42.8% (46,851) |
Education Levels Comparison: Cuyahoga falls vs Sugar land
- A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 1.2% in Sugar land.
- A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 7.3% in Sugar land.
- More residents in Cuyahoga falls have less than a high school education at 6.3% compared to 4.3% in Sugar land.
- In Sugar land, a larger share of residents have a bachelor's degree or higher at 42.8% 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.