Demographics details for Kennewick, WA vs San dimas, CA
Population Overview
Compare main population characteristics in Kennewick, WA vs San dimas, CA.
| Data | Kennewick | San dimas |
|---|---|---|
| Population | 84,750 | 33,535 |
| Median Age | 35.2 years | 42.7 years |
| Median Income | $70,429 | $102,241 |
| Married Families | 37.0% | 44.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 4.2 | 5.2 |
Population Comparison: Kennewick vs San dimas
- In Kennewick, the population is higher at 84,750, compared to 33,535 in San dimas.
- The median age in San dimas is higher at 42.7 years, compared to 35.2 years in Kennewick.
- San dimas has a higher median income of $102,241, compared to $70,429 in Kennewick.
- In San dimas, the percentage of married families is higher at 44.0%, compared to 37.0% in Kennewick.
- Kennewick has a higher poverty level at 11% compared to 9% in San dimas.
- San dimas has a higher unemployment rate at 5.2% compared to 4.2% in Kennewick.
Demographics
Demographics Kennewick vs San dimas provide insight into the diversity of the communities to compare.
| Demographic | Kennewick | San dimas |
|---|---|---|
| Black | 2 | 3 |
| White | 56 | 25 |
| Asian | 2 | 16 |
| Hispanic | 29 | 37 |
| Two or More Races | 10 | 18 |
| American Indian | 1 | 1 |
Demographics Comparison: Kennewick vs San dimas
- In San dimas, the percentage of Black residents is higher at 3% compared to 2% in Kennewick.
- Kennewick has a higher percentage of White residents at 56% compared to 25% in San dimas.
- In San dimas, the Asian population stands at 16%, greater than 2% in Kennewick.
- San dimas has a higher percentage of Hispanic residents at 37%, compared to 29% in Kennewick.
- The percentage of residents identifying as two or more races is higher in San dimas at 18%, compared to 10% in Kennewick.
- The percentage of American Indian residents is the same in both Kennewick and San dimas at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kennewick | San dimas |
|---|---|---|
| Mental Health Not Good | 17.7% | 14.6% |
| Physical Health Not Good | 12.5% | 9.5% |
| Depression | 26.4% | 16.6% |
| Smoking | 15.8% | 9.3% |
| Binge Drinking | 17.1% | 16.7% |
| Obesity | 34.1% | 26.3% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Kennewick vs San dimas
- More residents in Kennewick report poor mental health at 17.7% compared to 14.6% in San dimas.
- Depression is more prevalent in Kennewick at 26.4% compared to 16.6% in San dimas.
- Smoking is more prevalent in Kennewick at 15.8% compared to 9.3% in San dimas.
- Binge drinking is more common in Kennewick at 17.1% compared to 16.7% in San dimas.
- Obesity rates are higher in Kennewick at 34.1% compared to 26.3% in San dimas.
- Disability percentages are higher in Kennewick at 16.0% compared to 15.0% in San dimas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kennewick | San dimas |
|---|---|---|
| No Schooling | 1.4% (1,168) | 1.1% (362) |
| High School Diploma | 13.2% (11,198) | 13.8% (4,634) |
| Less than High School | 15.4% (13,049) | 8.5% (2,851) |
| Bachelor's Degree and Higher | 16.9% (14,348) | 28.3% (9,476) |
Education Levels Comparison: Kennewick vs San dimas
- A higher percentage of residents in Kennewick have no formal schooling at 1.4% compared to 1.1% in San dimas.
- In San dimas, the rate of residents with high school diplomas is higher at 13.8% compared to 13.2% in Kennewick.
- More residents in Kennewick have less than a high school education at 15.4% compared to 8.5% in San dimas.
- In San dimas, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 16.9% in Kennewick.
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.