Demographics details for Mount vernon, KY vs Quincy, MA
Population Overview
Compare main population characteristics in Mount vernon, KY vs Quincy, MA.
| Data | Mount vernon | Quincy |
|---|---|---|
| Population | 2,472 | 101,727 |
| Median Age | 45.4 years | 38.3 years |
| Median Income | $34,550 | $90,668 |
| Married Families | 36.0% | 39.0% |
| Poverty Level | 15% | 6% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Mount vernon vs Quincy
- The population in Quincy is higher at 101,727, compared to 2,472 in Mount vernon.
- Residents in Mount vernon have a higher median age of 45.4 years compared to 38.3 years in Quincy.
- Quincy has a higher median income of $90,668, compared to $34,550 in Mount vernon.
- In Quincy, the percentage of married families is higher at 39.0%, compared to 36.0% in Mount vernon.
- Mount vernon has a higher poverty level at 15% compared to 6% in Quincy.
- The unemployment rate in Mount vernon is higher at 4.2%, compared to 4.1% in Quincy.
Demographics
Demographics Mount vernon vs Quincy provide insight into the diversity of the communities to compare.
| Demographic | Mount vernon | Quincy |
|---|---|---|
| Black | Data is updating | 6 |
| White | 94 | 55 |
| Asian | Data is updating | 29 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount vernon vs Quincy
- In Quincy, the percentage of Black residents is higher at 6% compared to 0% in Mount vernon.
- Mount vernon has a higher percentage of White residents at 94% compared to 55% in Quincy.
- In Quincy, the Asian population stands at 29%, greater than 0% in Mount vernon.
- Quincy has a higher percentage of Hispanic residents at 5%, compared to 0% in Mount vernon.
- More residents identify as two or more races in Mount vernon at 6% compared to 5% in Quincy.
- The percentage of American Indian residents is the same in both Mount vernon and Quincy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount vernon | Quincy |
|---|---|---|
| Mental Health Not Good | 21.3% | 14.9% |
| Physical Health Not Good | 16.3% | 9.4% |
| Depression | 30.7% | 20.0% |
| Smoking | 26.1% | 13.5% |
| Binge Drinking | 14.3% | 17.2% |
| Obesity | 43.2% | 24.6% |
| Disability Percentage | 23.0% | 11.0% |
Health Statistics Comparison: Mount vernon vs Quincy
- More residents in Mount vernon report poor mental health at 21.3% compared to 14.9% in Quincy.
- Depression is more prevalent in Mount vernon at 30.7% compared to 20.0% in Quincy.
- Smoking is more prevalent in Mount vernon at 26.1% compared to 13.5% in Quincy.
- More residents engage in binge drinking in Quincy at 17.2% compared to 14.3% in Mount vernon.
- Obesity rates are higher in Mount vernon at 43.2% compared to 24.6% in Quincy.
- Disability percentages are higher in Mount vernon at 23.0% compared to 11.0% in Quincy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount vernon | Quincy |
|---|---|---|
| No Schooling | 0.5% (12) | 2.5% (2,554) |
| High School Diploma | 17.4% (431) | 14.7% (14,934) |
| Less than High School | 32.8% (810) | 10.4% (10,588) |
| Bachelor's Degree and Higher | 7.4% (183) | 36.0% (36,574) |
Education Levels Comparison: Mount vernon vs Quincy
- In Quincy, a larger percentage of residents lack formal schooling at 2.5% compared to 0.5% in Mount vernon.
- A higher percentage of residents in Mount vernon hold a high school diploma at 17.4% compared to 14.7% in Quincy.
- More residents in Mount vernon have less than a high school education at 32.8% compared to 10.4% in Quincy.
- In Quincy, a larger share of residents have a bachelor's degree or higher at 36.0% compared to 7.4% in Mount vernon.
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.