Demographics details for Mount vernon, NY vs Fancy farm, KY
Population Overview
Compare main population characteristics in Mount vernon, NY vs Fancy farm, KY.
Data | Mount vernon | Fancy farm |
---|---|---|
Population | 71,714 | 300 |
Median Age | 41.4 years | 51.1 years |
Median Income | $75,511 | $55,060 |
Married Families | 30.0% | 31.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Mount vernon vs Fancy farm
- In Mount vernon, the population is higher at 71,714, compared to 300 in Fancy farm.
- The median age in Fancy farm is higher at 51.1 years, compared to 41.4 years in Mount vernon.
- Mount vernon has a higher median income of $75,511 compared to $55,060 in Fancy farm.
- In Fancy farm, the percentage of married families is higher at 31.0%, compared to 30.0% in Mount vernon.
- Mount vernon has a higher poverty level at 13% compared to 10% in Fancy farm.
- The unemployment rate in Mount vernon is higher at 4.5%, compared to 3.2% in Fancy farm.
Demographics
Demographics Mount vernon vs Fancy farm provide insight into the diversity of the communities to compare.
Demographic | Mount vernon | Fancy farm |
---|---|---|
Black | 63 | 3 |
White | 10 | 91 |
Asian | 2 | Data is updating |
Hispanic | 17 | Data is updating |
Two or More Races | 7 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mount vernon vs Fancy farm
- A higher percentage of Black residents are in Mount vernon at 63% compared to 3% in Fancy farm.
- The percentage of White residents is higher in Fancy farm at 91% compared to 10% in Mount vernon.
- The Asian population is larger in Mount vernon at 2% compared to 0% in Fancy farm.
- The Hispanic community is larger in Mount vernon at 17% compared to 0% in Fancy farm.
- More residents identify as two or more races in Mount vernon at 7% compared to 6% in Fancy farm.
- A greater percentage of American Indian residents live in Mount vernon at 1% compared to 0% in Fancy farm.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount vernon | Fancy farm |
---|---|---|
Mental Health Not Good | 15.2% | 17.9% |
Physical Health Not Good | 10.8% | 12.6% |
Depression | 17.2% | 27.3% |
Smoking | 15.7% | 20.6% |
Binge Drinking | 14.0% | 16.7% |
Obesity | 34.8% | 37.4% |
Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Mount vernon vs Fancy farm
- In Fancy farm, a higher percentage report poor mental health at 17.9% compared to 15.2% in Mount vernon.
- Higher depression rates are seen in Fancy farm at 27.3% versus 17.2% in Mount vernon.
- Fancy farm has a higher smoking rate at 20.6% compared to 15.7% in Mount vernon.
- More residents engage in binge drinking in Fancy farm at 16.7% compared to 14.0% in Mount vernon.
- Fancy farm has higher obesity rates at 37.4% compared to 34.8% in Mount vernon.
- There is a higher percentage of disabled individuals in Fancy farm at 14.0% 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 | Fancy farm |
---|---|---|
No Schooling | 1.8% (1,292) | 0.0% (Data is updating) |
High School Diploma | 14.2% (10,151) | 47.7% (143) |
Less than High School | 15.9% (11,387) | 5.3% (16) |
Bachelor's Degree and Higher | 25.3% (18,122) | 14.3% (43) |
Education Levels Comparison: Mount vernon vs Fancy farm
- A higher percentage of residents in Mount vernon have no formal schooling at 1.8% compared to 0.0% in Fancy farm.
- In Fancy farm, the rate of residents with high school diplomas is higher at 47.7% compared to 14.2% in Mount vernon.
- More residents in Mount vernon have less than a high school education at 15.9% compared to 5.3% in Fancy farm.
- A higher percentage of residents in Mount vernon hold a bachelor's degree or higher at 25.3% compared to 14.3% in Fancy farm.
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.