Demographics details for Mason, OH vs Pleasant hill, CA
Population Overview
Compare main population characteristics in Mason, OH vs Pleasant hill, CA.
Data | Mason | Pleasant hill |
---|---|---|
Population | 35,520 | 33,913 |
Median Age | 41.7 years | 42.0 years |
Median Income | $121,082 | $137,685 |
Married Families | 47.0% | 43.0% |
Poverty Level | 4% | 4% |
Unemployment Rate | 4.8 | 4.6 |
Population Comparison: Mason vs Pleasant hill
- In Mason, the population is higher at 35,520, compared to 33,913 in Pleasant hill.
- The median age in Pleasant hill is higher at 42.0 years, compared to 41.7 years in Mason.
- Pleasant hill has a higher median income of $137,685, compared to $121,082 in Mason.
- A higher percentage of married families is found in Mason at 47.0% compared to 43.0% in Pleasant hill.
- The poverty level is identical in both Mason and Pleasant hill at 4%.
- The unemployment rate in Mason is higher at 4.8%, compared to 4.6% in Pleasant hill.
Demographics
Demographics Mason vs Pleasant hill provide insight into the diversity of the communities to compare.
Demographic | Mason | Pleasant hill |
---|---|---|
Black | 5 | 4 |
White | 74 | 54 |
Asian | 14 | 17 |
Hispanic | 3 | 14 |
Two or More Races | 4 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mason vs Pleasant hill
- A higher percentage of Black residents are in Mason at 5% compared to 4% in Pleasant hill.
- Mason has a higher percentage of White residents at 74% compared to 54% in Pleasant hill.
- In Pleasant hill, the Asian population stands at 17%, greater than 14% in Mason.
- Pleasant hill has a higher percentage of Hispanic residents at 14%, compared to 3% in Mason.
- The percentage of residents identifying as two or more races is higher in Pleasant hill at 11%, compared to 4% in Mason.
- The percentage of American Indian residents is the same in both Mason and Pleasant hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mason | Pleasant hill |
---|---|---|
Mental Health Not Good | 13.5% | 13.4% |
Physical Health Not Good | 8.0% | 8.1% |
Depression | 19.8% | 17.4% |
Smoking | 11.8% | 8.3% |
Binge Drinking | 19.1% | 17.7% |
Obesity | 33.5% | 22.6% |
Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Mason vs Pleasant hill
- More residents in Mason report poor mental health at 13.5% compared to 13.4% in Pleasant hill.
- Depression is more prevalent in Mason at 19.8% compared to 17.4% in Pleasant hill.
- Smoking is more prevalent in Mason at 11.8% compared to 8.3% in Pleasant hill.
- Binge drinking is more common in Mason at 19.1% compared to 17.7% in Pleasant hill.
- Obesity rates are higher in Mason at 33.5% compared to 22.6% in Pleasant hill.
- There is a higher percentage of disabled individuals in Pleasant hill at 11.0% compared to 8.0% in Mason.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mason | Pleasant hill |
---|---|---|
No Schooling | 0.5% (183) | 1.4% (469) |
High School Diploma | 8.9% (3,151) | 7.5% (2,527) |
Less than High School | 3.0% (1,071) | 5.8% (1,962) |
Bachelor's Degree and Higher | 40.7% (14,469) | 40.9% (13,861) |
Education Levels Comparison: Mason vs Pleasant hill
- In Pleasant hill, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Mason.
- A higher percentage of residents in Mason hold a high school diploma at 8.9% compared to 7.5% in Pleasant hill.
- The percentage of residents with less than a high school education is higher in Pleasant hill at 5.8%, compared to 3.0% in Mason.
- In Pleasant hill, a larger share of residents have a bachelor's degree or higher at 40.9% compared to 40.7% in Mason.
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.