Demographics details for Rochester, NY vs Maple valley, WA
Population Overview
Compare main population characteristics in Rochester, NY vs Maple valley, WA.
Data | Rochester | Maple valley |
---|---|---|
Population | 209,352 | 28,220 |
Median Age | 32.9 years | 36.4 years |
Median Income | $44,156 | $137,595 |
Married Families | 20.0% | 47.0% |
Poverty Level | 22% | Data is updating |
Unemployment Rate | 5.3 | 4.7 |
Population Comparison: Rochester vs Maple valley
- In Rochester, the population is higher at 209,352, compared to 28,220 in Maple valley.
- The median age in Maple valley is higher at 36.4 years, compared to 32.9 years in Rochester.
- Maple valley has a higher median income of $137,595, compared to $44,156 in Rochester.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 20.0% in Rochester.
- Rochester has a higher poverty level at 22% compared to 0% in Maple valley.
- The unemployment rate in Rochester is higher at 5.3%, compared to 4.7% in Maple valley.
Demographics
Demographics Rochester vs Maple valley provide insight into the diversity of the communities to compare.
Demographic | Rochester | Maple valley |
---|---|---|
Black | 38 | 2 |
White | 30 | 74 |
Asian | 4 | 11 |
Hispanic | 20 | 5 |
Two or More Races | 8 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Rochester vs Maple valley
- A higher percentage of Black residents are in Rochester at 38% compared to 2% in Maple valley.
- The percentage of White residents is higher in Maple valley at 74% compared to 30% in Rochester.
- In Maple valley, the Asian population stands at 11%, greater than 4% in Rochester.
- The Hispanic community is larger in Rochester at 20% compared to 5% in Maple valley.
- Both Rochester and Maple valley have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Rochester and Maple valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rochester | Maple valley |
---|---|---|
Mental Health Not Good | 19.1% | 15.9% |
Physical Health Not Good | 15.3% | 8.6% |
Depression | 28.0% | 25.8% |
Smoking | 24.5% | 9.4% |
Binge Drinking | 13.7% | 19.6% |
Obesity | 39.7% | 24.3% |
Disability Percentage | 19.0% | 7.0% |
Health Statistics Comparison: Rochester vs Maple valley
- More residents in Rochester report poor mental health at 19.1% compared to 15.9% in Maple valley.
- Depression is more prevalent in Rochester at 28.0% compared to 25.8% in Maple valley.
- Smoking is more prevalent in Rochester at 24.5% compared to 9.4% in Maple valley.
- More residents engage in binge drinking in Maple valley at 19.6% compared to 13.7% in Rochester.
- Obesity rates are higher in Rochester at 39.7% compared to 24.3% in Maple valley.
- Disability percentages are higher in Rochester at 19.0% 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 | Rochester | Maple valley |
---|---|---|
No Schooling | 1.8% (3,839) | 0.4% (103) |
High School Diploma | 13.2% (27,564) | 10.2% (2,878) |
Less than High School | 16.7% (34,961) | 3.1% (879) |
Bachelor's Degree and Higher | 19.4% (40,707) | 28.5% (8,032) |
Education Levels Comparison: Rochester vs Maple valley
- A higher percentage of residents in Rochester have no formal schooling at 1.8% compared to 0.4% in Maple valley.
- A higher percentage of residents in Rochester hold a high school diploma at 13.2% compared to 10.2% in Maple valley.
- More residents in Rochester have less than a high school education at 16.7% 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 19.4% in Rochester.
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.