Demographics details for Mount clemens, MI vs Dike, TX
Population Overview
Compare main population characteristics in Mount clemens, MI vs Dike, TX.
Data | Mount clemens | Dike |
---|---|---|
Population | 15,409 | 103 |
Median Age | 40.2 years | 44.0 years |
Median Income | $55,154 | $50,000 |
Married Families | 30.0% | 20.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Mount clemens vs Dike
- In Mount clemens, the population is higher at 15,409, compared to 103 in Dike.
- The median age in Dike is higher at 44.0 years, compared to 40.2 years in Mount clemens.
- Mount clemens has a higher median income of $55,154 compared to $50,000 in Dike.
- A higher percentage of married families is found in Mount clemens at 30.0% compared to 20.0% in Dike.
- The poverty level is higher in Dike at 15%, compared to 12% in Mount clemens.
- Dike has a higher unemployment rate at 4.0% compared to 3.5% in Mount clemens.
Demographics
Demographics Mount clemens vs Dike provide insight into the diversity of the communities to compare.
Demographic | Mount clemens | Dike |
---|---|---|
Black | 24 | Data is updating |
White | 65 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | Data is updating |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount clemens vs Dike
- A higher percentage of Black residents are in Mount clemens at 24% compared to 0% in Dike.
- The percentage of White residents is higher in Dike at 100% compared to 65% in Mount clemens.
- Both Mount clemens and Dike have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mount clemens at 3% compared to 0% in Dike.
- More residents identify as two or more races in Mount clemens at 8% compared to 0% in Dike.
- The percentage of American Indian residents is the same in both Mount clemens and Dike at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount clemens | Dike |
---|---|---|
Mental Health Not Good | 19.9% | Data is updating% |
Physical Health Not Good | 14.1% | Data is updating% |
Depression | 25.8% | Data is updating% |
Smoking | 25.2% | Data is updating% |
Binge Drinking | 16.9% | Data is updating% |
Obesity | 42.7% | Data is updating% |
Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Mount clemens vs Dike
- More residents in Mount clemens report poor mental health at 19.9% compared to 0.0% in Dike.
- Depression is more prevalent in Mount clemens at 25.8% compared to 0.0% in Dike.
- Smoking is more prevalent in Mount clemens at 25.2% compared to 0.0% in Dike.
- Binge drinking is more common in Mount clemens at 16.9% compared to 0.0% in Dike.
- Obesity rates are higher in Mount clemens at 42.7% compared to 0.0% in Dike.
- Disability percentages are higher in Mount clemens at 14.0% compared to 0.0% in Dike.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount clemens | Dike |
---|---|---|
No Schooling | 1.4% (222) | 0.0% (Data is updating) |
High School Diploma | 22.3% (3,437) | 0.0% (Data is updating) |
Less than High School | 16.6% (2,554) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.1% (1,867) | 0.0% (Data is updating) |
Education Levels Comparison: Mount clemens vs Dike
- A higher percentage of residents in Mount clemens have no formal schooling at 1.4% compared to 0.0% in Dike.
- A higher percentage of residents in Mount clemens hold a high school diploma at 22.3% compared to 0.0% in Dike.
- More residents in Mount clemens have less than a high school education at 16.6% compared to 0.0% in Dike.
- A higher percentage of residents in Mount clemens hold a bachelor's degree or higher at 12.1% compared to 0.0% in Dike.
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.