Demographics details for Twinsburg, OH vs Lawrence, KS
Population Overview
Compare main population characteristics in Twinsburg, OH vs Lawrence, KS.
| Data | Twinsburg | Lawrence |
|---|---|---|
| Population | 19,416 | 95,794 |
| Median Age | 43.6 years | 28.8 years |
| Median Income | $91,554 | $59,834 |
| Married Families | 43.0% | 32.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.2 | 3.9 |
Population Comparison: Twinsburg vs Lawrence
- The population in Lawrence is higher at 95,794, compared to 19,416 in Twinsburg.
- Residents in Twinsburg have a higher median age of 43.6 years compared to 28.8 years in Lawrence.
- Twinsburg has a higher median income of $91,554 compared to $59,834 in Lawrence.
- A higher percentage of married families is found in Twinsburg at 43.0% compared to 32.0% in Lawrence.
- The poverty level is higher in Lawrence at 12%, compared to 5% in Twinsburg.
- The unemployment rate in Twinsburg is higher at 4.2%, compared to 3.9% in Lawrence.
Demographics
Demographics Twinsburg vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Twinsburg | Lawrence |
|---|---|---|
| Black | 17 | 5 |
| White | 69 | 71 |
| Asian | 7 | 6 |
| Hispanic | 3 | 7 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Twinsburg vs Lawrence
- A higher percentage of Black residents are in Twinsburg at 17% compared to 5% in Lawrence.
- The percentage of White residents is higher in Lawrence at 71% compared to 69% in Twinsburg.
- The Asian population is larger in Twinsburg at 7% compared to 6% in Lawrence.
- Lawrence has a higher percentage of Hispanic residents at 7%, compared to 3% in Twinsburg.
- The percentage of residents identifying as two or more races is higher in Lawrence at 9%, compared to 4% in Twinsburg.
- In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 0% in Twinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Twinsburg | Lawrence |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.5% |
| Physical Health Not Good | 9.3% | 9.5% |
| Depression | 22.4% | 22.3% |
| Smoking | 14.7% | 14.8% |
| Binge Drinking | 18.4% | 19.6% |
| Obesity | 38.9% | 32.8% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Twinsburg vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 16.5% compared to 15.1% in Twinsburg.
- Depression is more prevalent in Twinsburg at 22.4% compared to 22.3% in Lawrence.
- Lawrence has a higher smoking rate at 14.8% compared to 14.7% in Twinsburg.
- More residents engage in binge drinking in Lawrence at 19.6% compared to 18.4% in Twinsburg.
- Obesity rates are higher in Twinsburg at 38.9% compared to 32.8% in Lawrence.
- There is a higher percentage of disabled individuals in Lawrence at 10.0% 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 | Lawrence |
|---|---|---|
| No Schooling | 0.7% (135) | 0.5% (466) |
| High School Diploma | 16.3% (3,173) | 8.2% (7,882) |
| Less than High School | 4.8% (931) | 4.0% (3,784) |
| Bachelor's Degree and Higher | 31.2% (6,065) | 31.1% (29,776) |
Education Levels Comparison: Twinsburg vs Lawrence
- A higher percentage of residents in Twinsburg have no formal schooling at 0.7% compared to 0.5% in Lawrence.
- A higher percentage of residents in Twinsburg hold a high school diploma at 16.3% compared to 8.2% in Lawrence.
- More residents in Twinsburg have less than a high school education at 4.8% compared to 4.0% in Lawrence.
- A higher percentage of residents in Twinsburg hold a bachelor's degree or higher at 31.2% compared to 31.1% in Lawrence.
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.