Demographics details for Taylor, MI vs Cleveland heights, OH
Population Overview
Compare main population characteristics in Taylor, MI vs Cleveland heights, OH.
Data | Taylor | Cleveland heights |
---|---|---|
Population | 62,258 | 44,201 |
Median Age | 37.9 years | 36.7 years |
Median Income | $59,352 | $69,155 |
Married Families | 33.0% | 33.0% |
Poverty Level | 12% | 13% |
Unemployment Rate | 6.2 | 4.6 |
Population Comparison: Taylor vs Cleveland heights
- In Taylor, the population is higher at 62,258, compared to 44,201 in Cleveland heights.
- Residents in Taylor have a higher median age of 37.9 years compared to 36.7 years in Cleveland heights.
- Cleveland heights has a higher median income of $69,155, compared to $59,352 in Taylor.
- The percentage of married families is the same in both Taylor and Cleveland heights at 33.0%.
- The poverty level is higher in Cleveland heights at 13%, compared to 12% in Taylor.
- The unemployment rate in Taylor is higher at 6.2%, compared to 4.6% in Cleveland heights.
Demographics
Demographics Taylor vs Cleveland heights provide insight into the diversity of the communities to compare.
Demographic | Taylor | Cleveland heights |
---|---|---|
Black | 21 | 42 |
White | 63 | 46 |
Asian | 1 | 5 |
Hispanic | 8 | 3 |
Two or More Races | 7 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Taylor vs Cleveland heights
- In Cleveland heights, the percentage of Black residents is higher at 42% compared to 21% in Taylor.
- Taylor has a higher percentage of White residents at 63% compared to 46% in Cleveland heights.
- In Cleveland heights, the Asian population stands at 5%, greater than 1% in Taylor.
- The Hispanic community is larger in Taylor at 8% compared to 3% in Cleveland heights.
- More residents identify as two or more races in Taylor at 7% compared to 4% in Cleveland heights.
- The percentage of American Indian residents is the same in both Taylor and Cleveland heights at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Taylor | Cleveland heights |
---|---|---|
Mental Health Not Good | 18.7% | 15.7% |
Physical Health Not Good | 12.7% | 10.9% |
Depression | 25.0% | 21.8% |
Smoking | 23.8% | 16.0% |
Binge Drinking | 18.0% | 16.7% |
Obesity | 34.4% | 34.5% |
Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Taylor vs Cleveland heights
- More residents in Taylor report poor mental health at 18.7% compared to 15.7% in Cleveland heights.
- Depression is more prevalent in Taylor at 25.0% compared to 21.8% in Cleveland heights.
- Smoking is more prevalent in Taylor at 23.8% compared to 16.0% in Cleveland heights.
- Binge drinking is more common in Taylor at 18.0% compared to 16.7% in Cleveland heights.
- Cleveland heights has higher obesity rates at 34.5% compared to 34.4% in Taylor.
- Disability percentages are higher in Taylor at 15.0% compared to 11.0% in Cleveland heights.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Taylor | Cleveland heights |
---|---|---|
No Schooling | 1.0% (629) | 0.4% (157) |
High School Diploma | 22.8% (14,189) | 9.5% (4,183) |
Less than High School | 17.2% (10,693) | 3.7% (1,638) |
Bachelor's Degree and Higher | 10.6% (6,622) | 39.6% (17,513) |
Education Levels Comparison: Taylor vs Cleveland heights
- A higher percentage of residents in Taylor have no formal schooling at 1.0% compared to 0.4% in Cleveland heights.
- A higher percentage of residents in Taylor hold a high school diploma at 22.8% compared to 9.5% in Cleveland heights.
- More residents in Taylor have less than a high school education at 17.2% compared to 3.7% in Cleveland heights.
- In Cleveland heights, a larger share of residents have a bachelor's degree or higher at 39.6% compared to 10.6% in Taylor.
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.