Demographics details for Edmonds, WA vs White house, TN
Population Overview
Compare main population characteristics in Edmonds, WA vs White house, TN.
Data | Edmonds | White house |
---|---|---|
Population | 42,593 | 14,516 |
Median Age | 45.8 years | 36.5 years |
Median Income | $110,057 | $85,404 |
Married Families | 49.0% | 46.0% |
Poverty Level | Data is updating | 7% |
Unemployment Rate | 4.7 | 3.4 |
Population Comparison: Edmonds vs White house
- In Edmonds, the population is higher at 42,593, compared to 14,516 in White house.
- Residents in Edmonds have a higher median age of 45.8 years compared to 36.5 years in White house.
- Edmonds has a higher median income of $110,057 compared to $85,404 in White house.
- A higher percentage of married families is found in Edmonds at 49.0% compared to 46.0% in White house.
- The poverty level is higher in White house at 7%, compared to 0% in Edmonds.
- The unemployment rate in Edmonds is higher at 4.7%, compared to 3.4% in White house.
Demographics
Demographics Edmonds vs White house provide insight into the diversity of the communities to compare.
Demographic | Edmonds | White house |
---|---|---|
Black | 2 | 2 |
White | 75 | 87 |
Asian | 9 | 1 |
Hispanic | 6 | 4 |
Two or More Races | 8 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Edmonds vs White house
- The percentage of Black residents is the same in both Edmonds and White house at 2%.
- The percentage of White residents is higher in White house at 87% compared to 75% in Edmonds.
- The Asian population is larger in Edmonds at 9% compared to 1% in White house.
- The Hispanic community is larger in Edmonds at 6% compared to 4% in White house.
- More residents identify as two or more races in Edmonds at 8% compared to 6% in White house.
- The percentage of American Indian residents is the same in both Edmonds and White house at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Edmonds | White house |
---|---|---|
Mental Health Not Good | 15.3% | 17.5% |
Physical Health Not Good | 9.2% | 11.0% |
Depression | 28.1% | 27.6% |
Smoking | 9.6% | 17.7% |
Binge Drinking | 16.4% | 16.7% |
Obesity | 31.0% | 32.5% |
Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Edmonds vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 15.3% in Edmonds.
- Depression is more prevalent in Edmonds at 28.1% compared to 27.6% in White house.
- White house has a higher smoking rate at 17.7% compared to 9.6% in Edmonds.
- More residents engage in binge drinking in White house at 16.7% compared to 16.4% in Edmonds.
- White house has higher obesity rates at 32.5% compared to 31.0% in Edmonds.
- Disability percentages are higher in Edmonds at 12.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Edmonds | White house |
---|---|---|
No Schooling | 0.5% (232) | 0.2% (30) |
High School Diploma | 11.0% (4,689) | 18.0% (2,617) |
Less than High School | 4.1% (1,747) | 12.4% (1,794) |
Bachelor's Degree and Higher | 38.7% (16,493) | 15.4% (2,235) |
Education Levels Comparison: Edmonds vs White house
- A higher percentage of residents in Edmonds have no formal schooling at 0.5% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 11.0% in Edmonds.
- The percentage of residents with less than a high school education is higher in White house at 12.4%, compared to 4.1% in Edmonds.
- A higher percentage of residents in Edmonds hold a bachelor's degree or higher at 38.7% compared to 15.4% in White house.
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.