Demographics details for Mount vernon, NY vs New albany, OH
Population Overview
Compare main population characteristics in Mount vernon, NY vs New albany, OH.
Data | Mount vernon | New albany |
---|---|---|
Population | 71,714 | 11,043 |
Median Age | 41.4 years | 40.9 years |
Median Income | $75,511 | $224,824 |
Married Families | 30.0% | 51.0% |
Poverty Level | 13% | 1% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Mount vernon vs New albany
- In Mount vernon, the population is higher at 71,714, compared to 11,043 in New albany.
- Residents in Mount vernon have a higher median age of 41.4 years compared to 40.9 years in New albany.
- New albany has a higher median income of $224,824, compared to $75,511 in Mount vernon.
- In New albany, the percentage of married families is higher at 51.0%, compared to 30.0% in Mount vernon.
- Mount vernon has a higher poverty level at 13% compared to 1% in New albany.
- The unemployment rate in Mount vernon is higher at 4.5%, compared to 3.2% in New albany.
Demographics
Demographics Mount vernon vs New albany provide insight into the diversity of the communities to compare.
Demographic | Mount vernon | New albany |
---|---|---|
Black | 63 | 2 |
White | 10 | 72 |
Asian | 2 | 8 |
Hispanic | 17 | 7 |
Two or More Races | 7 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mount vernon vs New albany
- A higher percentage of Black residents are in Mount vernon at 63% compared to 2% in New albany.
- The percentage of White residents is higher in New albany at 72% compared to 10% in Mount vernon.
- In New albany, the Asian population stands at 8%, greater than 2% in Mount vernon.
- The Hispanic community is larger in Mount vernon at 17% compared to 7% in New albany.
- The percentage of residents identifying as two or more races is higher in New albany at 11%, compared to 7% in Mount vernon.
- A greater percentage of American Indian residents live in Mount vernon at 1% compared to 0% in New albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount vernon | New albany |
---|---|---|
Mental Health Not Good | 15.2% | 13.6% |
Physical Health Not Good | 10.8% | 7.3% |
Depression | 17.2% | 22.1% |
Smoking | 15.7% | 10.1% |
Binge Drinking | 14.0% | 20.8% |
Obesity | 34.8% | 28.6% |
Disability Percentage | 13.0% | 4.0% |
Health Statistics Comparison: Mount vernon vs New albany
- More residents in Mount vernon report poor mental health at 15.2% compared to 13.6% in New albany.
- Higher depression rates are seen in New albany at 22.1% versus 17.2% in Mount vernon.
- Smoking is more prevalent in Mount vernon at 15.7% compared to 10.1% in New albany.
- More residents engage in binge drinking in New albany at 20.8% compared to 14.0% in Mount vernon.
- Obesity rates are higher in Mount vernon at 34.8% compared to 28.6% in New albany.
- Disability percentages are higher in Mount vernon at 13.0% compared to 4.0% in New albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount vernon | New albany |
---|---|---|
No Schooling | 1.8% (1,292) | 0.2% (17) |
High School Diploma | 14.2% (10,151) | 3.4% (371) |
Less than High School | 15.9% (11,387) | 1.0% (111) |
Bachelor's Degree and Higher | 25.3% (18,122) | 45.6% (5,031) |
Education Levels Comparison: Mount vernon vs New albany
- A higher percentage of residents in Mount vernon have no formal schooling at 1.8% compared to 0.2% in New albany.
- A higher percentage of residents in Mount vernon hold a high school diploma at 14.2% compared to 3.4% in New albany.
- More residents in Mount vernon have less than a high school education at 15.9% compared to 1.0% in New albany.
- In New albany, a larger share of residents have a bachelor's degree or higher at 45.6% compared to 25.3% 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.