Demographics details for Mount vernon, NY vs Nashua, NH
Population Overview
Compare main population characteristics in Mount vernon, NY vs Nashua, NH.
| Data | Mount vernon | Nashua |
|---|---|---|
| Population | 71,714 | 91,161 |
| Median Age | 41.4 years | 40.1 years |
| Median Income | $75,511 | $88,766 |
| Married Families | 30.0% | 38.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 4.5 | 2.9 |
Population Comparison: Mount vernon vs Nashua
- The population in Nashua is higher at 91,161, compared to 71,714 in Mount vernon.
- Residents in Mount vernon have a higher median age of 41.4 years compared to 40.1 years in Nashua.
- Nashua has a higher median income of $88,766, compared to $75,511 in Mount vernon.
- In Nashua, the percentage of married families is higher at 38.0%, compared to 30.0% in Mount vernon.
- Mount vernon has a higher poverty level at 13% compared to 7% in Nashua.
- The unemployment rate in Mount vernon is higher at 4.5%, compared to 2.9% in Nashua.
Demographics
Demographics Mount vernon vs Nashua provide insight into the diversity of the communities to compare.
| Demographic | Mount vernon | Nashua |
|---|---|---|
| Black | 63 | 3 |
| White | 10 | 67 |
| Asian | 2 | 8 |
| Hispanic | 17 | 13 |
| Two or More Races | 7 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mount vernon vs Nashua
- A higher percentage of Black residents are in Mount vernon at 63% compared to 3% in Nashua.
- The percentage of White residents is higher in Nashua at 67% compared to 10% in Mount vernon.
- In Nashua, the Asian population stands at 8%, greater than 2% in Mount vernon.
- The Hispanic community is larger in Mount vernon at 17% compared to 13% in Nashua.
- The percentage of residents identifying as two or more races is higher in Nashua at 9%, compared to 7% in Mount vernon.
- A greater percentage of American Indian residents live in Mount vernon at 1% compared to 0% in Nashua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount vernon | Nashua |
|---|---|---|
| Mental Health Not Good | 15.2% | 15.1% |
| Physical Health Not Good | 10.8% | 9.3% |
| Depression | 17.2% | 23.2% |
| Smoking | 15.7% | 14.7% |
| Binge Drinking | 14.0% | 14.9% |
| Obesity | 34.8% | 33.8% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Mount vernon vs Nashua
- More residents in Mount vernon report poor mental health at 15.2% compared to 15.1% in Nashua.
- Higher depression rates are seen in Nashua at 23.2% versus 17.2% in Mount vernon.
- Smoking is more prevalent in Mount vernon at 15.7% compared to 14.7% in Nashua.
- More residents engage in binge drinking in Nashua at 14.9% compared to 14.0% in Mount vernon.
- Obesity rates are higher in Mount vernon at 34.8% compared to 33.8% in Nashua.
- Disability percentages are the same in both Mount vernon and Nashua at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount vernon | Nashua |
|---|---|---|
| No Schooling | 1.8% (1,292) | 0.7% (611) |
| High School Diploma | 14.2% (10,151) | 14.9% (13,556) |
| Less than High School | 15.9% (11,387) | 10.7% (9,760) |
| Bachelor's Degree and Higher | 25.3% (18,122) | 29.4% (26,830) |
Education Levels Comparison: Mount vernon vs Nashua
- A higher percentage of residents in Mount vernon have no formal schooling at 1.8% compared to 0.7% in Nashua.
- In Nashua, the rate of residents with high school diplomas is higher at 14.9% compared to 14.2% in Mount vernon.
- More residents in Mount vernon have less than a high school education at 15.9% compared to 10.7% in Nashua.
- In Nashua, a larger share of residents have a bachelor's degree or higher at 29.4% 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.