Demographics details for Lynnwood, WA vs Villa ridge, MO
Population Overview
Compare main population characteristics in Lynnwood, WA vs Villa ridge, MO.
| Data | Lynnwood | Villa ridge |
|---|---|---|
| Population | 43,212 | 2,971 |
| Median Age | 39.3 years | 35.0 years |
| Median Income | $72,241 | $71,750 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 4.8 | 2.5 |
Population Comparison: Lynnwood vs Villa ridge
- In Lynnwood, the population is higher at 43,212, compared to 2,971 in Villa ridge.
- Residents in Lynnwood have a higher median age of 39.3 years compared to 35.0 years in Villa ridge.
- Lynnwood has a higher median income of $72,241 compared to $71,750 in Villa ridge.
- In Villa ridge, the percentage of married families is higher at 37.0%, compared to 34.0% in Lynnwood.
- The poverty level is higher in Villa ridge at 8%, compared to 7% in Lynnwood.
- The unemployment rate in Lynnwood is higher at 4.8%, compared to 2.5% in Villa ridge.
Demographics
Demographics Lynnwood vs Villa ridge provide insight into the diversity of the communities to compare.
| Demographic | Lynnwood | Villa ridge |
|---|---|---|
| Black | 8 | 1 |
| White | 48 | 92 |
| Asian | 17 | Data is updating |
| Hispanic | 15 | 4 |
| Two or More Races | 11 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lynnwood vs Villa ridge
- A higher percentage of Black residents are in Lynnwood at 8% compared to 1% in Villa ridge.
- The percentage of White residents is higher in Villa ridge at 92% compared to 48% in Lynnwood.
- The Asian population is larger in Lynnwood at 17% compared to 0% in Villa ridge.
- The Hispanic community is larger in Lynnwood at 15% compared to 4% in Villa ridge.
- More residents identify as two or more races in Lynnwood at 11% compared to 3% in Villa ridge.
- A greater percentage of American Indian residents live in Lynnwood at 1% compared to 0% in Villa ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lynnwood | Villa ridge |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.3% |
| Physical Health Not Good | 11.5% | 10.5% |
| Depression | 27.9% | 24.2% |
| Smoking | 12.8% | 17.2% |
| Binge Drinking | 14.3% | 19.7% |
| Obesity | 33.1% | 36.2% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Lynnwood vs Villa ridge
- More residents in Lynnwood report poor mental health at 16.9% compared to 16.3% in Villa ridge.
- Depression is more prevalent in Lynnwood at 27.9% compared to 24.2% in Villa ridge.
- Villa ridge has a higher smoking rate at 17.2% compared to 12.8% in Lynnwood.
- More residents engage in binge drinking in Villa ridge at 19.7% compared to 14.3% in Lynnwood.
- Villa ridge has higher obesity rates at 36.2% compared to 33.1% in Lynnwood.
- Disability percentages are the same in both Lynnwood and Villa ridge at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lynnwood | Villa ridge |
|---|---|---|
| No Schooling | 1.8% (777) | 0.0% (Data is updating) |
| High School Diploma | 11.8% (5,093) | 18.6% (554) |
| Less than High School | 12.8% (5,549) | 8.8% (261) |
| Bachelor's Degree and Higher | 20.6% (8,904) | 10.6% (316) |
Education Levels Comparison: Lynnwood vs Villa ridge
- A higher percentage of residents in Lynnwood have no formal schooling at 1.8% compared to 0.0% in Villa ridge.
- In Villa ridge, the rate of residents with high school diplomas is higher at 18.6% compared to 11.8% in Lynnwood.
- More residents in Lynnwood have less than a high school education at 12.8% compared to 8.8% in Villa ridge.
- A higher percentage of residents in Lynnwood hold a bachelor's degree or higher at 20.6% compared to 10.6% in Villa ridge.
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.