Demographics details for Bowman, SC vs Mount vernon, NY
Population Overview
Compare main population characteristics in Bowman, SC vs Mount vernon, NY.
Data | Bowman | Mount vernon |
---|---|---|
Population | 769 | 71,714 |
Median Age | 47.2 years | 41.4 years |
Median Income | $33,250 | $75,511 |
Married Families | 21.0% | 30.0% |
Poverty Level | 15% | 13% |
Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Bowman vs Mount vernon
- The population in Mount vernon is higher at 71,714, compared to 769 in Bowman.
- Residents in Bowman have a higher median age of 47.2 years compared to 41.4 years in Mount vernon.
- Mount vernon has a higher median income of $75,511, compared to $33,250 in Bowman.
- In Mount vernon, the percentage of married families is higher at 30.0%, compared to 21.0% in Bowman.
- Bowman has a higher poverty level at 15% compared to 13% in Mount vernon.
- The unemployment rate in Bowman is higher at 5.0%, compared to 4.5% in Mount vernon.
Demographics
Demographics Bowman vs Mount vernon provide insight into the diversity of the communities to compare.
Demographic | Bowman | Mount vernon |
---|---|---|
Black | 66 | 63 |
White | 33 | 10 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 17 |
Two or More Races | 1 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Bowman vs Mount vernon
- A higher percentage of Black residents are in Bowman at 66% compared to 63% in Mount vernon.
- Bowman has a higher percentage of White residents at 33% compared to 10% in Mount vernon.
- In Mount vernon, the Asian population stands at 2%, greater than 0% in Bowman.
- Mount vernon has a higher percentage of Hispanic residents at 17%, compared to 0% in Bowman.
- The percentage of residents identifying as two or more races is higher in Mount vernon at 7%, compared to 1% in Bowman.
- In Mount vernon, the percentage of American Indian residents is higher at 1%, compared to 0% in Bowman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bowman | Mount vernon |
---|---|---|
Mental Health Not Good | 18.7% | 15.2% |
Physical Health Not Good | 13.9% | 10.8% |
Depression | 19.3% | 17.2% |
Smoking | 21.8% | 15.7% |
Binge Drinking | 14.3% | 14.0% |
Obesity | 43.7% | 34.8% |
Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Bowman vs Mount vernon
- More residents in Bowman report poor mental health at 18.7% compared to 15.2% in Mount vernon.
- Depression is more prevalent in Bowman at 19.3% compared to 17.2% in Mount vernon.
- Smoking is more prevalent in Bowman at 21.8% compared to 15.7% in Mount vernon.
- Binge drinking is more common in Bowman at 14.3% compared to 14.0% in Mount vernon.
- Obesity rates are higher in Bowman at 43.7% compared to 34.8% in Mount vernon.
- Disability percentages are higher in Bowman at 17.0% compared to 13.0% in Mount vernon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bowman | Mount vernon |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.8% (1,292) |
High School Diploma | 26.4% (203) | 14.2% (10,151) |
Less than High School | 12.6% (97) | 15.9% (11,387) |
Bachelor's Degree and Higher | 7.3% (56) | 25.3% (18,122) |
Education Levels Comparison: Bowman vs Mount vernon
- In Mount vernon, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Bowman.
- A higher percentage of residents in Bowman hold a high school diploma at 26.4% compared to 14.2% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Mount vernon at 15.9%, compared to 12.6% in Bowman.
- In Mount vernon, a larger share of residents have a bachelor's degree or higher at 25.3% compared to 7.3% in Bowman.
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.