Demographics details for Spokane valley, WA vs Lebanon, TN
Population Overview
Compare main population characteristics in Spokane valley, WA vs Lebanon, TN.
Data | Spokane valley | Lebanon |
---|---|---|
Population | 107,325 | 44,166 |
Median Age | 37.4 years | 35.6 years |
Median Income | $66,483 | $63,698 |
Married Families | 37.0% | 33.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Spokane valley vs Lebanon
- In Spokane valley, the population is higher at 107,325, compared to 44,166 in Lebanon.
- Residents in Spokane valley have a higher median age of 37.4 years compared to 35.6 years in Lebanon.
- Spokane valley has a higher median income of $66,483 compared to $63,698 in Lebanon.
- A higher percentage of married families is found in Spokane valley at 37.0% compared to 33.0% in Lebanon.
- Spokane valley has a higher poverty level at 10% compared to 9% in Lebanon.
- The unemployment rate in Spokane valley is higher at 4.1%, compared to 3.5% in Lebanon.
Demographics
Demographics Spokane valley vs Lebanon provide insight into the diversity of the communities to compare.
Demographic | Spokane valley | Lebanon |
---|---|---|
Black | 1 | 10 |
White | 82 | 76 |
Asian | 2 | 1 |
Hispanic | 7 | 6 |
Two or More Races | 7 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Spokane valley vs Lebanon
- In Lebanon, the percentage of Black residents is higher at 10% compared to 1% in Spokane valley.
- Spokane valley has a higher percentage of White residents at 82% compared to 76% in Lebanon.
- The Asian population is larger in Spokane valley at 2% compared to 1% in Lebanon.
- The Hispanic community is larger in Spokane valley at 7% compared to 6% in Lebanon.
- Both Spokane valley and Lebanon have the same percentage of residents identifying as two or more races at 7%.
- A greater percentage of American Indian residents live in Spokane valley at 1% compared to 0% in Lebanon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Spokane valley | Lebanon |
---|---|---|
Mental Health Not Good | 18.3% | 18.8% |
Physical Health Not Good | 11.5% | 13.2% |
Depression | 28.7% | 27.5% |
Smoking | 15.3% | 21.4% |
Binge Drinking | 18.5% | 15.3% |
Obesity | 29.7% | 34.4% |
Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Spokane valley vs Lebanon
- In Lebanon, a higher percentage report poor mental health at 18.8% compared to 18.3% in Spokane valley.
- Depression is more prevalent in Spokane valley at 28.7% compared to 27.5% in Lebanon.
- Lebanon has a higher smoking rate at 21.4% compared to 15.3% in Spokane valley.
- Binge drinking is more common in Spokane valley at 18.5% compared to 15.3% in Lebanon.
- Lebanon has higher obesity rates at 34.4% compared to 29.7% in Spokane valley.
- Disability percentages are higher in Spokane valley at 16.0% compared to 12.0% in Lebanon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Spokane valley | Lebanon |
---|---|---|
No Schooling | 0.6% (596) | 0.5% (228) |
High School Diploma | 15.6% (16,779) | 16.2% (7,138) |
Less than High School | 7.2% (7,741) | 9.6% (4,258) |
Bachelor's Degree and Higher | 17.1% (18,346) | 18.2% (8,041) |
Education Levels Comparison: Spokane valley vs Lebanon
- A higher percentage of residents in Spokane valley have no formal schooling at 0.6% compared to 0.5% in Lebanon.
- In Lebanon, the rate of residents with high school diplomas is higher at 16.2% compared to 15.6% in Spokane valley.
- The percentage of residents with less than a high school education is higher in Lebanon at 9.6%, compared to 7.2% in Spokane valley.
- In Lebanon, a larger share of residents have a bachelor's degree or higher at 18.2% compared to 17.1% in Spokane valley.
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.