Demographics details for Mount vernon, KY vs Petersburg, PA
Population Overview
Compare main population characteristics in Mount vernon, KY vs Petersburg, PA.
Data | Mount vernon | Petersburg |
---|---|---|
Population | 2,472 | 412 |
Median Age | 45.4 years | 39.8 years |
Median Income | $34,550 | $58,125 |
Married Families | 36.0% | 30.0% |
Poverty Level | 15% | 8% |
Unemployment Rate | 4.2 | 5.2 |
Population Comparison: Mount vernon vs Petersburg
- In Mount vernon, the population is higher at 2,472, compared to 412 in Petersburg.
- Residents in Mount vernon have a higher median age of 45.4 years compared to 39.8 years in Petersburg.
- Petersburg has a higher median income of $58,125, compared to $34,550 in Mount vernon.
- A higher percentage of married families is found in Mount vernon at 36.0% compared to 30.0% in Petersburg.
- Mount vernon has a higher poverty level at 15% compared to 8% in Petersburg.
- Petersburg has a higher unemployment rate at 5.2% compared to 4.2% in Mount vernon.
Demographics
Demographics Mount vernon vs Petersburg provide insight into the diversity of the communities to compare.
Demographic | Mount vernon | Petersburg |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 98 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 6 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount vernon vs Petersburg
- The percentage of Black residents is the same in both Mount vernon and Petersburg at 0%.
- The percentage of White residents is higher in Petersburg at 98% compared to 94% in Mount vernon.
- Both Mount vernon and Petersburg have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Mount vernon and Petersburg at 0%.
- More residents identify as two or more races in Mount vernon at 6% compared to 2% in Petersburg.
- The percentage of American Indian residents is the same in both Mount vernon and Petersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount vernon | Petersburg |
---|---|---|
Mental Health Not Good | 21.3% | 18.6% |
Physical Health Not Good | 16.3% | 12.7% |
Depression | 30.7% | 24.5% |
Smoking | 26.1% | 22.3% |
Binge Drinking | 14.3% | 18.6% |
Obesity | 43.2% | 38.1% |
Disability Percentage | 23.0% | 18.0% |
Health Statistics Comparison: Mount vernon vs Petersburg
- More residents in Mount vernon report poor mental health at 21.3% compared to 18.6% in Petersburg.
- Depression is more prevalent in Mount vernon at 30.7% compared to 24.5% in Petersburg.
- Smoking is more prevalent in Mount vernon at 26.1% compared to 22.3% in Petersburg.
- More residents engage in binge drinking in Petersburg at 18.6% compared to 14.3% in Mount vernon.
- Obesity rates are higher in Mount vernon at 43.2% compared to 38.1% in Petersburg.
- Disability percentages are higher in Mount vernon at 23.0% compared to 18.0% in Petersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount vernon | Petersburg |
---|---|---|
No Schooling | 0.5% (12) | 0.5% (2) |
High School Diploma | 17.4% (431) | 35.2% (145) |
Less than High School | 32.8% (810) | 15.0% (62) |
Bachelor's Degree and Higher | 7.4% (183) | 1.5% (6) |
Education Levels Comparison: Mount vernon vs Petersburg
- The percentage of residents with no formal schooling is the same in both Mount vernon and Petersburg at 0.5%.
- In Petersburg, the rate of residents with high school diplomas is higher at 35.2% compared to 17.4% in Mount vernon.
- More residents in Mount vernon have less than a high school education at 32.8% compared to 15.0% in Petersburg.
- A higher percentage of residents in Mount vernon hold a bachelor's degree or higher at 7.4% compared to 1.5% in Petersburg.
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.