Demographics details for Columbus, MS vs Mount clemens, MI
Population Overview
Compare main population characteristics in Columbus, MS vs Mount clemens, MI.
Data | Columbus | Mount clemens |
---|---|---|
Population | 23,273 | 15,409 |
Median Age | 38.5 years | 40.2 years |
Median Income | $38,954 | $55,154 |
Married Families | 25.0% | 30.0% |
Poverty Level | 19% | 12% |
Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Columbus vs Mount clemens
- In Columbus, the population is higher at 23,273, compared to 15,409 in Mount clemens.
- The median age in Mount clemens is higher at 40.2 years, compared to 38.5 years in Columbus.
- Mount clemens has a higher median income of $55,154, compared to $38,954 in Columbus.
- In Mount clemens, the percentage of married families is higher at 30.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 12% in Mount clemens.
- The unemployment rate in Columbus is higher at 3.8%, compared to 3.5% in Mount clemens.
Demographics
Demographics Columbus vs Mount clemens provide insight into the diversity of the communities to compare.
Demographic | Columbus | Mount clemens |
---|---|---|
Black | 66 | 24 |
White | 28 | 65 |
Asian | 2 | Data is updating |
Hispanic | 2 | 3 |
Two or More Races | 2 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Mount clemens
- A higher percentage of Black residents are in Columbus at 66% compared to 24% in Mount clemens.
- The percentage of White residents is higher in Mount clemens at 65% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 0% in Mount clemens.
- Mount clemens has a higher percentage of Hispanic residents at 3%, compared to 2% in Columbus.
- The percentage of residents identifying as two or more races is higher in Mount clemens at 8%, compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Mount clemens at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbus | Mount clemens |
---|---|---|
Mental Health Not Good | 17.4% | 19.9% |
Physical Health Not Good | 13.6% | 14.1% |
Depression | 20.0% | 25.8% |
Smoking | 21.0% | 25.2% |
Binge Drinking | 11.8% | 16.9% |
Obesity | 44.8% | 42.7% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Columbus vs Mount clemens
- In Mount clemens, a higher percentage report poor mental health at 19.9% compared to 17.4% in Columbus.
- Higher depression rates are seen in Mount clemens at 25.8% versus 20.0% in Columbus.
- Mount clemens has a higher smoking rate at 25.2% compared to 21.0% in Columbus.
- More residents engage in binge drinking in Mount clemens at 16.9% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 42.7% in Mount clemens.
- There is a higher percentage of disabled individuals in Mount clemens at 14.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbus | Mount clemens |
---|---|---|
No Schooling | 1.1% (260) | 1.4% (222) |
High School Diploma | 18.4% (4,272) | 22.3% (3,437) |
Less than High School | 11.0% (2,559) | 16.6% (2,554) |
Bachelor's Degree and Higher | 17.1% (3,971) | 12.1% (1,867) |
Education Levels Comparison: Columbus vs Mount clemens
- In Mount clemens, a larger percentage of residents lack formal schooling at 1.4% compared to 1.1% in Columbus.
- In Mount clemens, the rate of residents with high school diplomas is higher at 22.3% compared to 18.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Mount clemens at 16.6%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% 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.