Demographics details for Boyertown, PA vs Maple valley, WA
Population Overview
Compare main population characteristics in Boyertown, PA vs Maple valley, WA.
Data | Boyertown | Maple valley |
---|---|---|
Population | 4,255 | 28,220 |
Median Age | 38.3 years | 36.4 years |
Median Income | $52,717 | $137,595 |
Married Families | 30.0% | 47.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 4.5 | 4.7 |
Population Comparison: Boyertown vs Maple valley
- The population in Maple valley is higher at 28,220, compared to 4,255 in Boyertown.
- Residents in Boyertown have a higher median age of 38.3 years compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595, compared to $52,717 in Boyertown.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 30.0% in Boyertown.
- Boyertown has a higher poverty level at 10% compared to 0% in Maple valley.
- Maple valley has a higher unemployment rate at 4.7% compared to 4.5% in Boyertown.
Demographics
Demographics Boyertown vs Maple valley provide insight into the diversity of the communities to compare.
Demographic | Boyertown | Maple valley |
---|---|---|
Black | 2 | 2 |
White | 88 | 74 |
Asian | Data is updating | 11 |
Hispanic | 8 | 5 |
Two or More Races | 2 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Boyertown vs Maple valley
- The percentage of Black residents is the same in both Boyertown and Maple valley at 2%.
- Boyertown has a higher percentage of White residents at 88% compared to 74% in Maple valley.
- In Maple valley, the Asian population stands at 11%, greater than 0% in Boyertown.
- The Hispanic community is larger in Boyertown at 8% compared to 5% in Maple valley.
- The percentage of residents identifying as two or more races is higher in Maple valley at 8%, compared to 2% in Boyertown.
- The percentage of American Indian residents is the same in both Boyertown and Maple valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Boyertown | Maple valley |
---|---|---|
Mental Health Not Good | 17.4% | 15.9% |
Physical Health Not Good | 12.2% | 8.6% |
Depression | 24.2% | 25.8% |
Smoking | 21.5% | 9.4% |
Binge Drinking | 17.0% | 19.6% |
Obesity | 35.8% | 24.3% |
Disability Percentage | 17.0% | 7.0% |
Health Statistics Comparison: Boyertown vs Maple valley
- More residents in Boyertown report poor mental health at 17.4% compared to 15.9% in Maple valley.
- Higher depression rates are seen in Maple valley at 25.8% versus 24.2% in Boyertown.
- Smoking is more prevalent in Boyertown at 21.5% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 17.0% in Boyertown.
- Obesity rates are higher in Boyertown at 35.8% compared to 24.3% in Maple valley.
- Disability percentages are higher in Boyertown at 17.0% compared to 7.0% in Maple valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Boyertown | Maple valley |
---|---|---|
No Schooling | 0.6% (26) | 0.4% (103) |
High School Diploma | 26.3% (1,120) | 10.2% (2,878) |
Less than High School | 10.6% (452) | 3.1% (879) |
Bachelor's Degree and Higher | 12.0% (511) | 28.5% (8,032) |
Education Levels Comparison: Boyertown vs Maple valley
- A higher percentage of residents in Boyertown have no formal schooling at 0.6% compared to 0.4% in Maple valley.
- A higher percentage of residents in Boyertown hold a high school diploma at 26.3% compared to 10.2% in Maple valley.
- More residents in Boyertown have less than a high school education at 10.6% compared to 3.1% in Maple valley.
- In Maple valley, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 12.0% in Boyertown.
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.