Demographics details for Jefferson, SD vs Maple valley, WA
Population Overview
Compare main population characteristics in Jefferson, SD vs Maple valley, WA.
Data | Jefferson | Maple valley |
---|---|---|
Population | 457 | 28,220 |
Median Age | 37.1 years | 36.4 years |
Median Income | $77,601 | $137,595 |
Married Families | 59.0% | 47.0% |
Poverty Level | 5% | Data is updating |
Unemployment Rate | 2.3 | 4.7 |
Population Comparison: Jefferson vs Maple valley
- The population in Maple valley is higher at 28,220, compared to 457 in Jefferson.
- Residents in Jefferson have a higher median age of 37.1 years compared to 36.4 years in Maple valley.
- Maple valley has a higher median income of $137,595, compared to $77,601 in Jefferson.
- A higher percentage of married families is found in Jefferson at 59.0% compared to 47.0% in Maple valley.
- Jefferson 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 2.3% in Jefferson.
Demographics
Demographics Jefferson vs Maple valley provide insight into the diversity of the communities to compare.
Demographic | Jefferson | Maple valley |
---|---|---|
Black | Data is updating | 2 |
White | 85 | 74 |
Asian | Data is updating | 11 |
Hispanic | 6 | 5 |
Two or More Races | 4 | 8 |
American Indian | 5 | Data is updating |
Demographics Comparison: Jefferson vs Maple valley
- In Maple valley, the percentage of Black residents is higher at 2% compared to 0% in Jefferson.
- Jefferson 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 Jefferson.
- The Hispanic community is larger in Jefferson at 6% 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 4% in Jefferson.
- A greater percentage of American Indian residents live in Jefferson at 5% compared to 0% in Maple valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jefferson | Maple valley |
---|---|---|
Mental Health Not Good | 12.5% | 15.9% |
Physical Health Not Good | 8.2% | 8.6% |
Depression | 16.7% | 25.8% |
Smoking | 14.5% | 9.4% |
Binge Drinking | 20.4% | 19.6% |
Obesity | 38.6% | 24.3% |
Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Jefferson vs Maple valley
- In Maple valley, a higher percentage report poor mental health at 15.9% compared to 12.5% in Jefferson.
- Higher depression rates are seen in Maple valley at 25.8% versus 16.7% in Jefferson.
- Smoking is more prevalent in Jefferson at 14.5% compared to 9.4% in Maple valley.
- Binge drinking is more common in Jefferson at 20.4% compared to 19.6% in Maple valley.
- Obesity rates are higher in Jefferson at 38.6% compared to 24.3% in Maple valley.
- Disability percentages are higher in Jefferson at 14.0% 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 | Jefferson | Maple valley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (103) |
High School Diploma | 22.3% (102) | 10.2% (2,878) |
Less than High School | 7.9% (36) | 3.1% (879) |
Bachelor's Degree and Higher | 23.0% (105) | 28.5% (8,032) |
Education Levels Comparison: Jefferson vs Maple valley
- In Maple valley, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Jefferson.
- A higher percentage of residents in Jefferson hold a high school diploma at 22.3% compared to 10.2% in Maple valley.
- More residents in Jefferson have less than a high school education at 7.9% 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 23.0% in Jefferson.
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.