Demographics details for Dixon, CA vs Mount clemens, MI
Population Overview
Compare main population characteristics in Dixon, CA vs Mount clemens, MI.
Data | Dixon | Mount clemens |
---|---|---|
Population | 19,143 | 15,409 |
Median Age | 33.5 years | 40.2 years |
Median Income | $92,138 | $55,154 |
Married Families | 38.0% | 30.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Dixon vs Mount clemens
- In Dixon, the population is higher at 19,143, compared to 15,409 in Mount clemens.
- The median age in Mount clemens is higher at 40.2 years, compared to 33.5 years in Dixon.
- Dixon has a higher median income of $92,138 compared to $55,154 in Mount clemens.
- A higher percentage of married families is found in Dixon at 38.0% compared to 30.0% in Mount clemens.
- The poverty level is higher in Mount clemens at 12%, compared to 10% in Dixon.
- The unemployment rate in Dixon is higher at 5.2%, compared to 3.5% in Mount clemens.
Demographics
Demographics Dixon vs Mount clemens provide insight into the diversity of the communities to compare.
Demographic | Dixon | Mount clemens |
---|---|---|
Black | 2 | 24 |
White | 40 | 65 |
Asian | 3 | Data is updating |
Hispanic | 41 | 3 |
Two or More Races | 14 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dixon vs Mount clemens
- In Mount clemens, the percentage of Black residents is higher at 24% compared to 2% in Dixon.
- The percentage of White residents is higher in Mount clemens at 65% compared to 40% in Dixon.
- The Asian population is larger in Dixon at 3% compared to 0% in Mount clemens.
- The Hispanic community is larger in Dixon at 41% compared to 3% in Mount clemens.
- More residents identify as two or more races in Dixon at 14% compared to 8% in Mount clemens.
- The percentage of American Indian residents is the same in both Dixon and Mount clemens at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dixon | Mount clemens |
---|---|---|
Mental Health Not Good | 16.7% | 19.9% |
Physical Health Not Good | 11.7% | 14.1% |
Depression | 19.8% | 25.8% |
Smoking | 12.9% | 25.2% |
Binge Drinking | 17.2% | 16.9% |
Obesity | 31.6% | 42.7% |
Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Dixon vs Mount clemens
- In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 16.7% in Dixon.
- Higher depression rates are seen in Mount clemens at 25.8% versus 19.8% in Dixon.
- Mount clemens has a higher smoking rate at 25.2% compared to 12.9% in Dixon.
- Binge drinking is more common in Dixon at 17.2% compared to 16.9% in Mount clemens.
- Mount clemens has higher obesity rates at 42.7% compared to 31.6% in Dixon.
- There is a higher percentage of disabled individuals in Mount clemens at 14.0% compared to 11.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dixon | Mount clemens |
---|---|---|
No Schooling | 2.0% (380) | 1.4% (222) |
High School Diploma | 15.7% (3,013) | 22.3% (3,437) |
Less than High School | 18.1% (3,473) | 16.6% (2,554) |
Bachelor's Degree and Higher | 14.1% (2,695) | 12.1% (1,867) |
Education Levels Comparison: Dixon vs Mount clemens
- A higher percentage of residents in Dixon have no formal schooling at 2.0% compared to 1.4% in Mount clemens.
- In Mount clemens, the rate of residents with high school diplomas is higher at 22.3% compared to 15.7% in Dixon.
- More residents in Dixon have less than a high school education at 18.1% compared to 16.6% in Mount clemens.
- A higher percentage of residents in Dixon hold a bachelor's degree or higher at 14.1% compared to 12.1% in Mount clemens.
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.