Demographics details for Shafter, CA vs Twinsburg, OH
Population Overview
Compare main population characteristics in Shafter, CA vs Twinsburg, OH.
Data | Shafter | Twinsburg |
---|---|---|
Population | 21,282 | 19,416 |
Median Age | 27.4 years | 43.6 years |
Median Income | $66,418 | $91,554 |
Married Families | 31.0% | 43.0% |
Poverty Level | 20% | 5% |
Unemployment Rate | 5.1 | 4.2 |
Population Comparison: Shafter vs Twinsburg
- In Shafter, the population is higher at 21,282, compared to 19,416 in Twinsburg.
- The median age in Twinsburg is higher at 43.6 years, compared to 27.4 years in Shafter.
- Twinsburg has a higher median income of $91,554, compared to $66,418 in Shafter.
- In Twinsburg, the percentage of married families is higher at 43.0%, compared to 31.0% in Shafter.
- Shafter has a higher poverty level at 20% compared to 5% in Twinsburg.
- The unemployment rate in Shafter is higher at 5.1%, compared to 4.2% in Twinsburg.
Demographics
Demographics Shafter vs Twinsburg provide insight into the diversity of the communities to compare.
Demographic | Shafter | Twinsburg |
---|---|---|
Black | 2 | 17 |
White | -9 | 69 |
Asian | 1 | 7 |
Hispanic | 78 | 3 |
Two or More Races | 27 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Shafter vs Twinsburg
- In Twinsburg, the percentage of Black residents is higher at 17% compared to 2% in Shafter.
- The percentage of White residents is higher in Twinsburg at 69% compared to -9% in Shafter.
- In Twinsburg, the Asian population stands at 7%, greater than 1% in Shafter.
- The Hispanic community is larger in Shafter at 78% compared to 3% in Twinsburg.
- More residents identify as two or more races in Shafter at 27% compared to 4% in Twinsburg.
- A greater percentage of American Indian residents live in Shafter at 1% compared to 0% in Twinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shafter | Twinsburg |
---|---|---|
Mental Health Not Good | 18.8% | 15.1% |
Physical Health Not Good | 16.6% | 9.3% |
Depression | 19.7% | 22.4% |
Smoking | 18.3% | 14.7% |
Binge Drinking | 14.9% | 18.4% |
Obesity | 39.4% | 38.9% |
Disability Percentage | 6.0% | 9.0% |
Health Statistics Comparison: Shafter vs Twinsburg
- More residents in Shafter report poor mental health at 18.8% compared to 15.1% in Twinsburg.
- Higher depression rates are seen in Twinsburg at 22.4% versus 19.7% in Shafter.
- Smoking is more prevalent in Shafter at 18.3% compared to 14.7% in Twinsburg.
- More residents engage in binge drinking in Twinsburg at 18.4% compared to 14.9% in Shafter.
- Obesity rates are higher in Shafter at 39.4% compared to 38.9% in Twinsburg.
- There is a higher percentage of disabled individuals in Twinsburg at 9.0% compared to 6.0% in Shafter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shafter | Twinsburg |
---|---|---|
No Schooling | 2.7% (567) | 0.7% (135) |
High School Diploma | 14.1% (2,992) | 16.3% (3,173) |
Less than High School | 32.9% (6,999) | 4.8% (931) |
Bachelor's Degree and Higher | 5.7% (1,217) | 31.2% (6,065) |
Education Levels Comparison: Shafter vs Twinsburg
- A higher percentage of residents in Shafter have no formal schooling at 2.7% compared to 0.7% in Twinsburg.
- In Twinsburg, the rate of residents with high school diplomas is higher at 16.3% compared to 14.1% in Shafter.
- More residents in Shafter have less than a high school education at 32.9% compared to 4.8% in Twinsburg.
- In Twinsburg, a larger share of residents have a bachelor's degree or higher at 31.2% compared to 5.7% in Shafter.
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.