Demographics details for Running springs, CA vs Plymouth, MI
Population Overview
Compare main population characteristics in Running springs, CA vs Plymouth, MI.
Data | Running springs | Plymouth |
---|---|---|
Population | 4,589 | 9,252 |
Median Age | 37.9 years | 44.3 years |
Median Income | $84,060 | $107,156 |
Married Families | 45.0% | 40.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Running springs vs Plymouth
- The population in Plymouth is higher at 9,252, compared to 4,589 in Running springs.
- The median age in Plymouth is higher at 44.3 years, compared to 37.9 years in Running springs.
- Plymouth has a higher median income of $107,156, compared to $84,060 in Running springs.
- A higher percentage of married families is found in Running springs at 45.0% compared to 40.0% in Plymouth.
- Running springs has a higher poverty level at 9% compared to 5% in Plymouth.
- The unemployment rate in Running springs is higher at 3.5%, compared to 3.2% in Plymouth.
Demographics
Demographics Running springs vs Plymouth provide insight into the diversity of the communities to compare.
Demographic | Running springs | Plymouth |
---|---|---|
Black | Data is updating | 3 |
White | 66 | 89 |
Asian | 3 | 2 |
Hispanic | 19 | 2 |
Two or More Races | 10 | 4 |
American Indian | 2 | Data is updating |
Demographics Comparison: Running springs vs Plymouth
- In Plymouth, the percentage of Black residents is higher at 3% compared to 0% in Running springs.
- The percentage of White residents is higher in Plymouth at 89% compared to 66% in Running springs.
- The Asian population is larger in Running springs at 3% compared to 2% in Plymouth.
- The Hispanic community is larger in Running springs at 19% compared to 2% in Plymouth.
- More residents identify as two or more races in Running springs at 10% compared to 4% in Plymouth.
- A greater percentage of American Indian residents live in Running springs at 2% compared to 0% in Plymouth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Running springs | Plymouth |
---|---|---|
Mental Health Not Good | 16.7% | 13.6% |
Physical Health Not Good | 10.7% | 7.7% |
Depression | 20.6% | 22.2% |
Smoking | 12.1% | 12.0% |
Binge Drinking | 18.1% | 20.9% |
Obesity | 35.1% | 26.8% |
Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Running springs vs Plymouth
- More residents in Running springs report poor mental health at 16.7% compared to 13.6% in Plymouth.
- Higher depression rates are seen in Plymouth at 22.2% versus 20.6% in Running springs.
- Smoking is more prevalent in Running springs at 12.1% compared to 12.0% in Plymouth.
- More residents engage in binge drinking in Plymouth at 20.9% compared to 18.1% in Running springs.
- Obesity rates are higher in Running springs at 35.1% compared to 26.8% in Plymouth.
- Disability percentages are higher in Running springs at 11.0% compared to 9.0% in Plymouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Running springs | Plymouth |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.1% (10) |
High School Diploma | 9.9% (453) | 8.5% (783) |
Less than High School | 8.4% (387) | 2.4% (220) |
Bachelor's Degree and Higher | 23.6% (1,082) | 45.4% (4,203) |
Education Levels Comparison: Running springs vs Plymouth
- In Plymouth, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Running springs.
- A higher percentage of residents in Running springs hold a high school diploma at 9.9% compared to 8.5% in Plymouth.
- More residents in Running springs have less than a high school education at 8.4% compared to 2.4% in Plymouth.
- In Plymouth, a larger share of residents have a bachelor's degree or higher at 45.4% compared to 23.6% in Running springs.
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.