Demographics details for Mount pleasant, SC vs Bozeman, MT
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Bozeman, MT.
Data | Mount pleasant | Bozeman |
---|---|---|
Population | 94,545 | 56,123 |
Median Age | 42.4 years | 28.2 years |
Median Income | $115,167 | $74,113 |
Married Families | 47.0% | 30.0% |
Poverty Level | 5% | 9% |
Unemployment Rate | 3.2 | 2.7 |
Population Comparison: Mount pleasant vs Bozeman
- In Mount pleasant, the population is higher at 94,545, compared to 56,123 in Bozeman.
- Residents in Mount pleasant have a higher median age of 42.4 years compared to 28.2 years in Bozeman.
- Mount pleasant has a higher median income of $115,167 compared to $74,113 in Bozeman.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 30.0% in Bozeman.
- The poverty level is higher in Bozeman at 9%, compared to 5% in Mount pleasant.
- The unemployment rate in Mount pleasant is higher at 3.2%, compared to 2.7% in Bozeman.
Demographics
Demographics Mount pleasant vs Bozeman provide insight into the diversity of the communities to compare.
Demographic | Mount pleasant | Bozeman |
---|---|---|
Black | 4 | 1 |
White | 90 | 86 |
Asian | 2 | 2 |
Hispanic | 2 | 5 |
Two or More Races | 2 | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Mount pleasant vs Bozeman
- A higher percentage of Black residents are in Mount pleasant at 4% compared to 1% in Bozeman.
- Mount pleasant has a higher percentage of White residents at 90% compared to 86% in Bozeman.
- Both Mount pleasant and Bozeman have the same percentage of Asian residents at 2%.
- Bozeman has a higher percentage of Hispanic residents at 5%, compared to 2% in Mount pleasant.
- The percentage of residents identifying as two or more races is higher in Bozeman at 5%, compared to 2% in Mount pleasant.
- In Bozeman, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount pleasant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount pleasant | Bozeman |
---|---|---|
Mental Health Not Good | 13.7% | 14.5% |
Physical Health Not Good | 7.6% | 9.0% |
Depression | 19.5% | 22.8% |
Smoking | 9.8% | 12.6% |
Binge Drinking | 25.5% | 23.1% |
Obesity | 26.9% | 24.8% |
Disability Percentage | 6.0% | 8.0% |
Health Statistics Comparison: Mount pleasant vs Bozeman
- In Bozeman, a higher percentage report poor mental health at 14.5% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Bozeman at 22.8% versus 19.5% in Mount pleasant.
- Bozeman has a higher smoking rate at 12.6% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 23.1% in Bozeman.
- Obesity rates are higher in Mount pleasant at 26.9% compared to 24.8% in Bozeman.
- There is a higher percentage of disabled individuals in Bozeman at 8.0% compared to 6.0% in Mount pleasant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount pleasant | Bozeman |
---|---|---|
No Schooling | 0.3% (259) | 0.0% (11) |
High School Diploma | 5.8% (5,499) | 5.7% (3,187) |
Less than High School | 2.7% (2,577) | 2.3% (1,316) |
Bachelor's Degree and Higher | 46.2% (43,679) | 35.7% (20,038) |
Education Levels Comparison: Mount pleasant vs Bozeman
- A higher percentage of residents in Mount pleasant have no formal schooling at 0.3% compared to 0.0% in Bozeman.
- A higher percentage of residents in Mount pleasant hold a high school diploma at 5.8% compared to 5.7% in Bozeman.
- More residents in Mount pleasant have less than a high school education at 2.7% compared to 2.3% in Bozeman.
- A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 35.7% in Bozeman.
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.