Demographics details for Mount pleasant, SC vs Collins, IA
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Collins, IA.
Data | Mount pleasant | Collins |
---|---|---|
Population | 94,545 | 498 |
Median Age | 42.4 years | 39.1 years |
Median Income | $115,167 | $69,844 |
Married Families | 47.0% | 32.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Mount pleasant vs Collins
- In Mount pleasant, the population is higher at 94,545, compared to 498 in Collins.
- Residents in Mount pleasant have a higher median age of 42.4 years compared to 39.1 years in Collins.
- Mount pleasant has a higher median income of $115,167 compared to $69,844 in Collins.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 32.0% in Collins.
- The poverty level is identical in both Mount pleasant and Collins at 5%.
- Collins has a higher unemployment rate at 4.5% compared to 3.2% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Collins provide insight into the diversity of the communities to compare.
Demographic | Mount pleasant | Collins |
---|---|---|
Black | 4 | Data is updating |
White | 90 | 95 |
Asian | 2 | Data is updating |
Hispanic | 2 | 2 |
Two or More Races | 2 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pleasant vs Collins
- A higher percentage of Black residents are in Mount pleasant at 4% compared to 0% in Collins.
- The percentage of White residents is higher in Collins at 95% compared to 90% in Mount pleasant.
- The Asian population is larger in Mount pleasant at 2% compared to 0% in Collins.
- The percentage of Hispanic residents is the same in both Mount pleasant and Collins at 2%.
- The percentage of residents identifying as two or more races is higher in Collins at 3%, compared to 2% in Mount pleasant.
- The percentage of American Indian residents is the same in both Mount pleasant and Collins at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount pleasant | Collins |
---|---|---|
Mental Health Not Good | 13.7% | 14.5% |
Physical Health Not Good | 7.6% | 8.5% |
Depression | 19.5% | 19.2% |
Smoking | 9.8% | 14.6% |
Binge Drinking | 25.5% | 23.9% |
Obesity | 26.9% | 31.4% |
Disability Percentage | 6.0% | 13.0% |
Health Statistics Comparison: Mount pleasant vs Collins
- In Collins, a higher percentage report poor mental health at 14.5% compared to 13.7% in Mount pleasant.
- Depression is more prevalent in Mount pleasant at 19.5% compared to 19.2% in Collins.
- Collins has a higher smoking rate at 14.6% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 23.9% in Collins.
- Collins has higher obesity rates at 31.4% compared to 26.9% in Mount pleasant.
- There is a higher percentage of disabled individuals in Collins at 13.0% 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 | Collins |
---|---|---|
No Schooling | 0.3% (259) | 0.0% (Data is updating) |
High School Diploma | 5.8% (5,499) | 23.9% (119) |
Less than High School | 2.7% (2,577) | 10.0% (50) |
Bachelor's Degree and Higher | 46.2% (43,679) | 8.4% (42) |
Education Levels Comparison: Mount pleasant vs Collins
- A higher percentage of residents in Mount pleasant have no formal schooling at 0.3% compared to 0.0% in Collins.
- In Collins, the rate of residents with high school diplomas is higher at 23.9% compared to 5.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Collins at 10.0%, compared to 2.7% in Mount pleasant.
- A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 8.4% in Collins.
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.