Demographics details for Twinsburg, OH vs Independence, LA
Population Overview
Compare main population characteristics in Twinsburg, OH vs Independence, LA.
Data | Twinsburg | Independence |
---|---|---|
Population | 19,416 | 1,644 |
Median Age | 43.6 years | 36.0 years |
Median Income | $91,554 | $41,071 |
Married Families | 43.0% | 37.0% |
Poverty Level | 5% | 23% |
Unemployment Rate | 4.2 | 5.2 |
Population Comparison: Twinsburg vs Independence
- In Twinsburg, the population is higher at 19,416, compared to 1,644 in Independence.
- Residents in Twinsburg have a higher median age of 43.6 years compared to 36.0 years in Independence.
- Twinsburg has a higher median income of $91,554 compared to $41,071 in Independence.
- A higher percentage of married families is found in Twinsburg at 43.0% compared to 37.0% in Independence.
- The poverty level is higher in Independence at 23%, compared to 5% in Twinsburg.
- Independence has a higher unemployment rate at 5.2% compared to 4.2% in Twinsburg.
Demographics
Demographics Twinsburg vs Independence provide insight into the diversity of the communities to compare.
Demographic | Twinsburg | Independence |
---|---|---|
Black | 17 | 66 |
White | 69 | 20 |
Asian | 7 | Data is updating |
Hispanic | 3 | 5 |
Two or More Races | 4 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Twinsburg vs Independence
- In Independence, the percentage of Black residents is higher at 66% compared to 17% in Twinsburg.
- Twinsburg has a higher percentage of White residents at 69% compared to 20% in Independence.
- The Asian population is larger in Twinsburg at 7% compared to 0% in Independence.
- Independence has a higher percentage of Hispanic residents at 5%, compared to 3% in Twinsburg.
- The percentage of residents identifying as two or more races is higher in Independence at 9%, compared to 4% in Twinsburg.
- The percentage of American Indian residents is the same in both Twinsburg and Independence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Twinsburg | Independence |
---|---|---|
Mental Health Not Good | 15.1% | 22.5% |
Physical Health Not Good | 9.3% | 16.4% |
Depression | 22.4% | 26.8% |
Smoking | 14.7% | 26.7% |
Binge Drinking | 18.4% | 16.5% |
Obesity | 38.9% | 43.8% |
Disability Percentage | 9.0% | 26.0% |
Health Statistics Comparison: Twinsburg vs Independence
- In Independence, a higher percentage report poor mental health at 22.5% compared to 15.1% in Twinsburg.
- Higher depression rates are seen in Independence at 26.8% versus 22.4% in Twinsburg.
- Independence has a higher smoking rate at 26.7% compared to 14.7% in Twinsburg.
- Binge drinking is more common in Twinsburg at 18.4% compared to 16.5% in Independence.
- Independence has higher obesity rates at 43.8% compared to 38.9% in Twinsburg.
- There is a higher percentage of disabled individuals in Independence at 26.0% compared to 9.0% in Twinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Twinsburg | Independence |
---|---|---|
No Schooling | 0.7% (135) | 0.4% (7) |
High School Diploma | 16.3% (3,173) | 27.1% (445) |
Less than High School | 4.8% (931) | 24.4% (401) |
Bachelor's Degree and Higher | 31.2% (6,065) | 11.5% (189) |
Education Levels Comparison: Twinsburg vs Independence
- A higher percentage of residents in Twinsburg have no formal schooling at 0.7% compared to 0.4% in Independence.
- In Independence, the rate of residents with high school diplomas is higher at 27.1% compared to 16.3% in Twinsburg.
- The percentage of residents with less than a high school education is higher in Independence at 24.4%, compared to 4.8% in Twinsburg.
- A higher percentage of residents in Twinsburg hold a bachelor's degree or higher at 31.2% compared to 11.5% in Independence.
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.