Demographics details for Parker, SD vs Maple valley, WA
Population Overview
Compare main population characteristics in Parker, SD vs Maple valley, WA.
Data | Parker | Maple valley |
---|---|---|
Population | 1,221 | 28,220 |
Median Age | 39.3 years | 36.4 years |
Median Income | $83,864 | $137,595 |
Married Families | 39.0% | 47.0% |
Poverty Level | 5% | Data is updating |
Unemployment Rate | 2.0 | 4.7 |
Population Comparison: Parker vs Maple valley
- The population in Maple valley is higher at 28,220, compared to 1,221 in Parker.
- Residents in Parker have a higher median age of 39.3 years compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595, compared to $83,864 in Parker.
- In Maple valley, the percentage of married families is higher at 47.0%, compared to 39.0% in Parker.
- Parker has a higher poverty level at 5% compared to 0% in Maple valley.
- Maple valley has a higher unemployment rate at 4.7% compared to 2.0% in Parker.
Demographics
Demographics Parker vs Maple valley provide insight into the diversity of the communities to compare.
Demographic | Parker | Maple valley |
---|---|---|
Black | 4 | 2 |
White | 85 | 74 |
Asian | Data is updating | 11 |
Hispanic | 5 | 5 |
Two or More Races | 4 | 8 |
American Indian | 2 | Data is updating |
Demographics Comparison: Parker vs Maple valley
- A higher percentage of Black residents are in Parker at 4% compared to 2% in Maple valley.
- Parker has a higher percentage of White residents at 85% compared to 74% in Maple valley.
- In Maple valley, the Asian population stands at 11%, greater than 0% in Parker.
- The percentage of Hispanic residents is the same in both Parker and Maple valley at 5%.
- The percentage of residents identifying as two or more races is higher in Maple valley at 8%, compared to 4% in Parker.
- A greater percentage of American Indian residents live in Parker at 2% compared to 0% in Maple valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Parker | Maple valley |
---|---|---|
Mental Health Not Good | 13.5% | 15.9% |
Physical Health Not Good | 9.0% | 8.6% |
Depression | 17.8% | 25.8% |
Smoking | 16.4% | 9.4% |
Binge Drinking | 20.4% | 19.6% |
Obesity | 34.4% | 24.3% |
Disability Percentage | 5.0% | 7.0% |
Health Statistics Comparison: Parker vs Maple valley
- In Maple valley, a higher percentage report poor mental health at 15.9% compared to 13.5% in Parker.
- Higher depression rates are seen in Maple valley at 25.8% versus 17.8% in Parker.
- Smoking is more prevalent in Parker at 16.4% compared to 9.4% in Maple valley.
- Binge drinking is more common in Parker at 20.4% compared to 19.6% in Maple valley.
- Obesity rates are higher in Parker at 34.4% compared to 24.3% in Maple valley.
- There is a higher percentage of disabled individuals in Maple valley at 7.0% compared to 5.0% in Parker.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Parker | Maple valley |
---|---|---|
No Schooling | 0.2% (3) | 0.4% (103) |
High School Diploma | 17.9% (218) | 10.2% (2,878) |
Less than High School | 13.0% (159) | 3.1% (879) |
Bachelor's Degree and Higher | 12.9% (158) | 28.5% (8,032) |
Education Levels Comparison: Parker vs Maple valley
- In Maple valley, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Parker.
- A higher percentage of residents in Parker hold a high school diploma at 17.9% compared to 10.2% in Maple valley.
- More residents in Parker have less than a high school education at 13.0% 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 12.9% in Parker.
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.