Demographics details for Vaughn, MT vs Walnut bottom, PA
Population Overview
Compare main population characteristics in Vaughn, MT vs Walnut bottom, PA.
Data | Vaughn | Walnut bottom |
---|---|---|
Population | 975 | 422 |
Median Age | 39.4 years | 37.0 years |
Median Income | $45,000 | $55,000 |
Married Families | 33.0% | 50.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Vaughn vs Walnut bottom
- In Vaughn, the population is higher at 975, compared to 422 in Walnut bottom.
- Residents in Vaughn have a higher median age of 39.4 years compared to 37.0 years in Walnut bottom.
- Walnut bottom has a higher median income of $55,000, compared to $45,000 in Vaughn.
- In Walnut bottom, the percentage of married families is higher at 50.0%, compared to 33.0% in Vaughn.
- Vaughn has a higher poverty level at 12% compared to 10% in Walnut bottom.
- The unemployment rate is the same in both Vaughn and Walnut bottom at 4.5%.
Demographics
Demographics Vaughn vs Walnut bottom provide insight into the diversity of the communities to compare.
Demographic | Vaughn | Walnut bottom |
---|---|---|
Black | Data is updating | 1 |
White | 80 | 98 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | 1 |
Two or More Races | 12 | Data is updating |
American Indian | 3 | Data is updating |
Demographics Comparison: Vaughn vs Walnut bottom
- In Walnut bottom, the percentage of Black residents is higher at 1% compared to 0% in Vaughn.
- The percentage of White residents is higher in Walnut bottom at 98% compared to 80% in Vaughn.
- Both Vaughn and Walnut bottom have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Vaughn at 5% compared to 1% in Walnut bottom.
- More residents identify as two or more races in Vaughn at 12% compared to 0% in Walnut bottom.
- A greater percentage of American Indian residents live in Vaughn at 3% compared to 0% in Walnut bottom.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Vaughn | Walnut bottom |
---|---|---|
Mental Health Not Good | 16.2% | Data is updating% |
Physical Health Not Good | 11.1% | Data is updating% |
Depression | 23.6% | Data is updating% |
Smoking | 18.7% | Data is updating% |
Binge Drinking | 23.2% | Data is updating% |
Obesity | 35.1% | Data is updating% |
Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Vaughn vs Walnut bottom
- More residents in Vaughn report poor mental health at 16.2% compared to 0.0% in Walnut bottom.
- Depression is more prevalent in Vaughn at 23.6% compared to 0.0% in Walnut bottom.
- Smoking is more prevalent in Vaughn at 18.7% compared to 0.0% in Walnut bottom.
- Binge drinking is more common in Vaughn at 23.2% compared to 0.0% in Walnut bottom.
- Obesity rates are higher in Vaughn at 35.1% compared to 0.0% in Walnut bottom.
- Disability percentages are higher in Vaughn at 14.0% compared to 0.0% in Walnut bottom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Vaughn | Walnut bottom |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 28.3% (276) | 0.0% (Data is updating) |
Less than High School | 4.0% (39) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 9.1% (89) | 0.0% (Data is updating) |
Education Levels Comparison: Vaughn vs Walnut bottom
- The percentage of residents with no formal schooling is the same in both Vaughn and Walnut bottom at 0.0%.
- A higher percentage of residents in Vaughn hold a high school diploma at 28.3% compared to 0.0% in Walnut bottom.
- More residents in Vaughn have less than a high school education at 4.0% compared to 0.0% in Walnut bottom.
- A higher percentage of residents in Vaughn hold a bachelor's degree or higher at 9.1% compared to 0.0% in Walnut bottom.
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.