Demographics details for Williamsport, PA vs Red wing, MN
Population Overview
Compare main population characteristics in Williamsport, PA vs Red wing, MN.
Data | Williamsport | Red wing |
---|---|---|
Population | 27,403 | 16,672 |
Median Age | 30.3 years | 42.4 years |
Median Income | $48,388 | $65,107 |
Married Families | 24.0% | 40.0% |
Poverty Level | 16% | 8% |
Unemployment Rate | 4.1 | 3.7 |
Population Comparison: Williamsport vs Red wing
- In Williamsport, the population is higher at 27,403, compared to 16,672 in Red wing.
- The median age in Red wing is higher at 42.4 years, compared to 30.3 years in Williamsport.
- Red wing has a higher median income of $65,107, compared to $48,388 in Williamsport.
- In Red wing, the percentage of married families is higher at 40.0%, compared to 24.0% in Williamsport.
- Williamsport has a higher poverty level at 16% compared to 8% in Red wing.
- The unemployment rate in Williamsport is higher at 4.1%, compared to 3.7% in Red wing.
Demographics
Demographics Williamsport vs Red wing provide insight into the diversity of the communities to compare.
Demographic | Williamsport | Red wing |
---|---|---|
Black | 14 | 3 |
White | 75 | 86 |
Asian | 1 | 1 |
Hispanic | 3 | 5 |
Two or More Races | 6 | 3 |
American Indian | 1 | 2 |
Demographics Comparison: Williamsport vs Red wing
- A higher percentage of Black residents are in Williamsport at 14% compared to 3% in Red wing.
- The percentage of White residents is higher in Red wing at 86% compared to 75% in Williamsport.
- Both Williamsport and Red wing have the same percentage of Asian residents at 1%.
- Red wing has a higher percentage of Hispanic residents at 5%, compared to 3% in Williamsport.
- More residents identify as two or more races in Williamsport at 6% compared to 3% in Red wing.
- In Red wing, the percentage of American Indian residents is higher at 2%, compared to 1% in Williamsport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Williamsport | Red wing |
---|---|---|
Mental Health Not Good | 18.9% | 14.9% |
Physical Health Not Good | 13.7% | 9.6% |
Depression | 24.6% | 23.4% |
Smoking | 22.7% | 17.8% |
Binge Drinking | 16.2% | 19.1% |
Obesity | 40.4% | 38.6% |
Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Williamsport vs Red wing
- More residents in Williamsport report poor mental health at 18.9% compared to 14.9% in Red wing.
- Depression is more prevalent in Williamsport at 24.6% compared to 23.4% in Red wing.
- Smoking is more prevalent in Williamsport at 22.7% compared to 17.8% in Red wing.
- More residents engage in binge drinking in Red wing at 19.1% compared to 16.2% in Williamsport.
- Obesity rates are higher in Williamsport at 40.4% compared to 38.6% in Red wing.
- Disability percentages are higher in Williamsport at 18.0% compared to 11.0% in Red wing.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Williamsport | Red wing |
---|---|---|
No Schooling | 0.7% (186) | 0.6% (98) |
High School Diploma | 16.4% (4,487) | 20.6% (3,441) |
Less than High School | 12.8% (3,507) | 9.7% (1,617) |
Bachelor's Degree and Higher | 16.1% (4,416) | 19.4% (3,232) |
Education Levels Comparison: Williamsport vs Red wing
- A higher percentage of residents in Williamsport have no formal schooling at 0.7% compared to 0.6% in Red wing.
- In Red wing, the rate of residents with high school diplomas is higher at 20.6% compared to 16.4% in Williamsport.
- More residents in Williamsport have less than a high school education at 12.8% compared to 9.7% in Red wing.
- In Red wing, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 16.1% in Williamsport.
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.