Demographics details for Campbell, CA vs Washington, MO
Population Overview
Compare main population characteristics in Campbell, CA vs Washington, MO.
| Data | Campbell | Washington |
|---|---|---|
| Population | 42,286 | 15,075 |
| Median Age | 39.3 years | 40.9 years |
| Median Income | $141,794 | $75,127 |
| Married Families | 45.0% | 41.0% |
| Poverty Level | 6% | 8% |
| Unemployment Rate | 3.6 | 2.5 |
Population Comparison: Campbell vs Washington
- In Campbell, the population is higher at 42,286, compared to 15,075 in Washington.
- The median age in Washington is higher at 40.9 years, compared to 39.3 years in Campbell.
- Campbell has a higher median income of $141,794 compared to $75,127 in Washington.
- A higher percentage of married families is found in Campbell at 45.0% compared to 41.0% in Washington.
- The poverty level is higher in Washington at 8%, compared to 6% in Campbell.
- The unemployment rate in Campbell is higher at 3.6%, compared to 2.5% in Washington.
Demographics
Demographics Campbell vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Campbell | Washington |
|---|---|---|
| Black | 2 | Data is updating |
| White | 42 | 91 |
| Asian | 27 | Data is updating |
| Hispanic | 18 | 2 |
| Two or More Races | 11 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Campbell vs Washington
- A higher percentage of Black residents are in Campbell at 2% compared to 0% in Washington.
- The percentage of White residents is higher in Washington at 91% compared to 42% in Campbell.
- The Asian population is larger in Campbell at 27% compared to 0% in Washington.
- The Hispanic community is larger in Campbell at 18% compared to 2% in Washington.
- More residents identify as two or more races in Campbell at 11% compared to 7% in Washington.
- The percentage of American Indian residents is the same in both Campbell and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Campbell | Washington |
|---|---|---|
| Mental Health Not Good | 13.3% | 16.8% |
| Physical Health Not Good | 8.0% | 11.0% |
| Depression | 16.8% | 24.6% |
| Smoking | 8.0% | 18.3% |
| Binge Drinking | 15.9% | 19.8% |
| Obesity | 21.0% | 36.6% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Campbell vs Washington
- In Washington, a higher percentage report poor mental health at 16.8% compared to 13.3% in Campbell.
- Higher depression rates are seen in Washington at 24.6% versus 16.8% in Campbell.
- Washington has a higher smoking rate at 18.3% compared to 8.0% in Campbell.
- More residents engage in binge drinking in Washington at 19.8% compared to 15.9% in Campbell.
- Washington has higher obesity rates at 36.6% compared to 21.0% in Campbell.
- There is a higher percentage of disabled individuals in Washington at 14.0% compared to 9.0% in Campbell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Campbell | Washington |
|---|---|---|
| No Schooling | 1.4% (599) | 0.3% (41) |
| High School Diploma | 8.1% (3,429) | 15.0% (2,260) |
| Less than High School | 7.6% (3,214) | 8.7% (1,311) |
| Bachelor's Degree and Higher | 44.5% (18,829) | 18.8% (2,838) |
Education Levels Comparison: Campbell vs Washington
- A higher percentage of residents in Campbell have no formal schooling at 1.4% compared to 0.3% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 15.0% compared to 8.1% in Campbell.
- The percentage of residents with less than a high school education is higher in Washington at 8.7%, compared to 7.6% in Campbell.
- A higher percentage of residents in Campbell hold a bachelor's degree or higher at 44.5% compared to 18.8% in Washington.
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.