Demographics details for Mount vernon, NY vs Armona, CA
Population Overview
Compare main population characteristics in Mount vernon, NY vs Armona, CA.
Data | Mount vernon | Armona |
---|---|---|
Population | 71,714 | 4,367 |
Median Age | 41.4 years | 26.4 years |
Median Income | $75,511 | $55,197 |
Married Families | 30.0% | 31.0% |
Poverty Level | 13% | 15% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Mount vernon vs Armona
- In Mount vernon, the population is higher at 71,714, compared to 4,367 in Armona.
- Residents in Mount vernon have a higher median age of 41.4 years compared to 26.4 years in Armona.
- Mount vernon has a higher median income of $75,511 compared to $55,197 in Armona.
- In Armona, the percentage of married families is higher at 31.0%, compared to 30.0% in Mount vernon.
- The poverty level is higher in Armona at 15%, compared to 13% in Mount vernon.
- The unemployment rate is the same in both Mount vernon and Armona at 4.5%.
Demographics
Demographics Mount vernon vs Armona provide insight into the diversity of the communities to compare.
Demographic | Mount vernon | Armona |
---|---|---|
Black | 63 | 1 |
White | 10 | -1 |
Asian | 2 | 8 |
Hispanic | 17 | 78 |
Two or More Races | 7 | 12 |
American Indian | 1 | 2 |
Demographics Comparison: Mount vernon vs Armona
- A higher percentage of Black residents are in Mount vernon at 63% compared to 1% in Armona.
- Mount vernon has a higher percentage of White residents at 10% compared to -1% in Armona.
- In Armona, the Asian population stands at 8%, greater than 2% in Mount vernon.
- Armona has a higher percentage of Hispanic residents at 78%, compared to 17% in Mount vernon.
- The percentage of residents identifying as two or more races is higher in Armona at 12%, compared to 7% in Mount vernon.
- In Armona, the percentage of American Indian residents is higher at 2%, compared to 1% in Mount vernon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount vernon | Armona |
---|---|---|
Mental Health Not Good | 15.2% | 17.6% |
Physical Health Not Good | 10.8% | 13.8% |
Depression | 17.2% | 19.5% |
Smoking | 15.7% | 14.7% |
Binge Drinking | 14.0% | 15.5% |
Obesity | 34.8% | 35.5% |
Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Mount vernon vs Armona
- In Armona, a higher percentage report poor mental health at 17.6% compared to 15.2% in Mount vernon.
- Higher depression rates are seen in Armona at 19.5% versus 17.2% in Mount vernon.
- Smoking is more prevalent in Mount vernon at 15.7% compared to 14.7% in Armona.
- More residents engage in binge drinking in Armona at 15.5% compared to 14.0% in Mount vernon.
- Armona has higher obesity rates at 35.5% compared to 34.8% in Mount vernon.
- Disability percentages are higher in Mount vernon at 13.0% compared to 8.0% in Armona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount vernon | Armona |
---|---|---|
No Schooling | 1.8% (1,292) | 1.2% (51) |
High School Diploma | 14.2% (10,151) | 15.7% (686) |
Less than High School | 15.9% (11,387) | 35.2% (1,537) |
Bachelor's Degree and Higher | 25.3% (18,122) | 4.2% (183) |
Education Levels Comparison: Mount vernon vs Armona
- A higher percentage of residents in Mount vernon have no formal schooling at 1.8% compared to 1.2% in Armona.
- In Armona, the rate of residents with high school diplomas is higher at 15.7% compared to 14.2% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Armona at 35.2%, compared to 15.9% in Mount vernon.
- A higher percentage of residents in Mount vernon hold a bachelor's degree or higher at 25.3% compared to 4.2% in Armona.
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.