Demographics details for Suffolk, VA vs Lynnwood, WA
Population Overview
Compare main population characteristics in Suffolk, VA vs Lynnwood, WA.
| Data | Suffolk | Lynnwood |
|---|---|---|
| Population | 98,537 | 43,212 |
| Median Age | 38.5 years | 39.3 years |
| Median Income | $87,758 | $72,241 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.2 | 4.8 |
Population Comparison: Suffolk vs Lynnwood
- In Suffolk, the population is higher at 98,537, compared to 43,212 in Lynnwood.
- The median age in Lynnwood is higher at 39.3 years, compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758 compared to $72,241 in Lynnwood.
- A higher percentage of married families is found in Suffolk at 40.0% compared to 34.0% in Lynnwood.
- The poverty level is identical in both Suffolk and Lynnwood at 7%.
- Lynnwood has a higher unemployment rate at 4.8% compared to 3.2% in Suffolk.
Demographics
Demographics Suffolk vs Lynnwood provide insight into the diversity of the communities to compare.
| Demographic | Suffolk | Lynnwood |
|---|---|---|
| Black | 40 | 8 |
| White | 47 | 48 |
| Asian | 2 | 17 |
| Hispanic | 5 | 15 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Suffolk vs Lynnwood
- A higher percentage of Black residents are in Suffolk at 40% compared to 8% in Lynnwood.
- The percentage of White residents is higher in Lynnwood at 48% compared to 47% in Suffolk.
- In Lynnwood, the Asian population stands at 17%, greater than 2% in Suffolk.
- Lynnwood has a higher percentage of Hispanic residents at 15%, compared to 5% in Suffolk.
- The percentage of residents identifying as two or more races is higher in Lynnwood at 11%, compared to 6% in Suffolk.
- In Lynnwood, the percentage of American Indian residents is higher at 1%, compared to 0% in Suffolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Suffolk | Lynnwood |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.9% |
| Physical Health Not Good | 10.6% | 11.5% |
| Depression | 21.4% | 27.9% |
| Smoking | 15.3% | 12.8% |
| Binge Drinking | 16.6% | 14.3% |
| Obesity | 42.4% | 33.1% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Suffolk vs Lynnwood
- In Lynnwood, a higher percentage report poor mental health at 16.9% compared to 16.6% in Suffolk.
- Higher depression rates are seen in Lynnwood at 27.9% versus 21.4% in Suffolk.
- Smoking is more prevalent in Suffolk at 15.3% compared to 12.8% in Lynnwood.
- Binge drinking is more common in Suffolk at 16.6% compared to 14.3% in Lynnwood.
- Obesity rates are higher in Suffolk at 42.4% compared to 33.1% in Lynnwood.
- There is a higher percentage of disabled individuals in Lynnwood at 13.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Suffolk | Lynnwood |
|---|---|---|
| No Schooling | 1.0% (965) | 1.8% (777) |
| High School Diploma | 14.9% (14,643) | 11.8% (5,093) |
| Less than High School | 7.8% (7,701) | 12.8% (5,549) |
| Bachelor's Degree and Higher | 21.0% (20,740) | 20.6% (8,904) |
Education Levels Comparison: Suffolk vs Lynnwood
- In Lynnwood, a larger percentage of residents lack formal schooling at 1.8% compared to 1.0% in Suffolk.
- A higher percentage of residents in Suffolk hold a high school diploma at 14.9% compared to 11.8% in Lynnwood.
- The percentage of residents with less than a high school education is higher in Lynnwood at 12.8%, compared to 7.8% in Suffolk.
- A higher percentage of residents in Suffolk hold a bachelor's degree or higher at 21.0% compared to 20.6% in Lynnwood.
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.