Demographics details for Mount vernon, NY vs Paris, TN
Population Overview
Compare main population characteristics in Mount vernon, NY vs Paris, TN.
| Data | Mount vernon | Paris |
|---|---|---|
| Population | 71,714 | 10,339 |
| Median Age | 41.4 years | 39.4 years |
| Median Income | $75,511 | $39,378 |
| Married Families | 30.0% | 32.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Mount vernon vs Paris
- In Mount vernon, the population is higher at 71,714, compared to 10,339 in Paris.
- Residents in Mount vernon have a higher median age of 41.4 years compared to 39.4 years in Paris.
- Mount vernon has a higher median income of $75,511 compared to $39,378 in Paris.
- In Paris, the percentage of married families is higher at 32.0%, compared to 30.0% in Mount vernon.
- Mount vernon has a higher poverty level at 13% compared to 12% in Paris.
- The unemployment rate is the same in both Mount vernon and Paris at 4.5%.
Demographics
Demographics Mount vernon vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Mount vernon | Paris |
|---|---|---|
| Black | 63 | 18 |
| White | 10 | 74 |
| Asian | 2 | Data is updating |
| Hispanic | 17 | 3 |
| Two or More Races | 7 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mount vernon vs Paris
- A higher percentage of Black residents are in Mount vernon at 63% compared to 18% in Paris.
- The percentage of White residents is higher in Paris at 74% compared to 10% in Mount vernon.
- The Asian population is larger in Mount vernon at 2% compared to 0% in Paris.
- The Hispanic community is larger in Mount vernon at 17% compared to 3% in Paris.
- More residents identify as two or more races in Mount vernon at 7% compared to 5% in Paris.
- A greater percentage of American Indian residents live in Mount vernon at 1% compared to 0% in Paris.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount vernon | Paris |
|---|---|---|
| Mental Health Not Good | 15.2% | 22.4% |
| Physical Health Not Good | 10.8% | 16.3% |
| Depression | 17.2% | 29.4% |
| Smoking | 15.7% | 28.0% |
| Binge Drinking | 14.0% | 13.8% |
| Obesity | 34.8% | 41.9% |
| Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Mount vernon vs Paris
- In Paris, a higher percentage report poor mental health at 22.4% compared to 15.2% in Mount vernon.
- Higher depression rates are seen in Paris at 29.4% versus 17.2% in Mount vernon.
- Paris has a higher smoking rate at 28.0% compared to 15.7% in Mount vernon.
- Binge drinking is more common in Mount vernon at 14.0% compared to 13.8% in Paris.
- Paris has higher obesity rates at 41.9% compared to 34.8% in Mount vernon.
- There is a higher percentage of disabled individuals in Paris at 23.0% 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 | Mount vernon | Paris |
|---|---|---|
| No Schooling | 1.8% (1,292) | 1.0% (104) |
| High School Diploma | 14.2% (10,151) | 25.5% (2,641) |
| Less than High School | 15.9% (11,387) | 18.7% (1,935) |
| Bachelor's Degree and Higher | 25.3% (18,122) | 13.7% (1,419) |
Education Levels Comparison: Mount vernon vs Paris
- A higher percentage of residents in Mount vernon have no formal schooling at 1.8% compared to 1.0% in Paris.
- In Paris, the rate of residents with high school diplomas is higher at 25.5% compared to 14.2% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Paris at 18.7%, 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 13.7% in Paris.
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.