Demographics details for Auburn, AL vs Gwynedd valley, PA
Population Overview
Compare main population characteristics in Auburn, AL vs Gwynedd valley, PA.
Data | Auburn | Gwynedd valley |
---|---|---|
Population | 80,006 | 1,418 |
Median Age | 25.9 years | 48.0 years |
Median Income | $55,509 | $112,500 |
Married Families | 32.0% | 64.0% |
Poverty Level | 10% | 3% |
Unemployment Rate | 3.0 | 4.7 |
Population Comparison: Auburn vs Gwynedd valley
- In Auburn, the population is higher at 80,006, compared to 1,418 in Gwynedd valley.
- The median age in Gwynedd valley is higher at 48.0 years, compared to 25.9 years in Auburn.
- Gwynedd valley has a higher median income of $112,500, compared to $55,509 in Auburn.
- In Gwynedd valley, the percentage of married families is higher at 64.0%, compared to 32.0% in Auburn.
- Auburn has a higher poverty level at 10% compared to 3% in Gwynedd valley.
- Gwynedd valley has a higher unemployment rate at 4.7% compared to 3.0% in Auburn.
Demographics
Demographics Auburn vs Gwynedd valley provide insight into the diversity of the communities to compare.
Demographic | Auburn | Gwynedd valley |
---|---|---|
Black | 17 | 1 |
White | 69 | 93 |
Asian | 8 | 3 |
Hispanic | 3 | 2 |
Two or More Races | 3 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Auburn vs Gwynedd valley
- A higher percentage of Black residents are in Auburn at 17% compared to 1% in Gwynedd valley.
- The percentage of White residents is higher in Gwynedd valley at 93% compared to 69% in Auburn.
- The Asian population is larger in Auburn at 8% compared to 3% in Gwynedd valley.
- The Hispanic community is larger in Auburn at 3% compared to 2% in Gwynedd valley.
- More residents identify as two or more races in Auburn at 3% compared to 1% in Gwynedd valley.
- The percentage of American Indian residents is the same in both Auburn and Gwynedd valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Auburn | Gwynedd valley |
---|---|---|
Mental Health Not Good | 17.6% | Data is updating% |
Physical Health Not Good | 12.0% | Data is updating% |
Depression | 22.0% | Data is updating% |
Smoking | 15.5% | Data is updating% |
Binge Drinking | 14.5% | Data is updating% |
Obesity | 38.7% | Data is updating% |
Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Auburn vs Gwynedd valley
- More residents in Auburn report poor mental health at 17.6% compared to 0.0% in Gwynedd valley.
- Depression is more prevalent in Auburn at 22.0% compared to 0.0% in Gwynedd valley.
- Smoking is more prevalent in Auburn at 15.5% compared to 0.0% in Gwynedd valley.
- Binge drinking is more common in Auburn at 14.5% compared to 0.0% in Gwynedd valley.
- Obesity rates are higher in Auburn at 38.7% compared to 0.0% in Gwynedd valley.
- Disability percentages are higher in Auburn at 8.0% compared to 0.0% in Gwynedd valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Auburn | Gwynedd valley |
---|---|---|
No Schooling | 0.3% (236) | 0.0% (Data is updating) |
High School Diploma | 5.3% (4,206) | 0.0% (Data is updating) |
Less than High School | 2.5% (1,964) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 30.7% (24,546) | 0.0% (Data is updating) |
Education Levels Comparison: Auburn vs Gwynedd valley
- A higher percentage of residents in Auburn have no formal schooling at 0.3% compared to 0.0% in Gwynedd valley.
- A higher percentage of residents in Auburn hold a high school diploma at 5.3% compared to 0.0% in Gwynedd valley.
- More residents in Auburn have less than a high school education at 2.5% compared to 0.0% in Gwynedd valley.
- A higher percentage of residents in Auburn hold a bachelor's degree or higher at 30.7% compared to 0.0% in Gwynedd valley.
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.