Demographics details for Wheeler, TX vs Campbell, CA
Population Overview
Compare main population characteristics in Wheeler, TX vs Campbell, CA.
Data | Wheeler | Campbell |
---|---|---|
Population | 4,807 | 42,286 |
Median Age | 40.0 years | 39.3 years |
Median Income | $58,158 | $141,794 |
Married Families | 49.0% | 45.0% |
Poverty Level | 14% | 6% |
Unemployment Rate | 4.1 | 3.6 |
Population Comparison: Wheeler vs Campbell
- The population in Campbell is higher at 42,286, compared to 4,807 in Wheeler.
- Residents in Wheeler have a higher median age of 40.0 years compared to 39.3 years in Campbell.
- Campbell has a higher median income of $141,794, compared to $58,158 in Wheeler.
- A higher percentage of married families is found in Wheeler at 49.0% compared to 45.0% in Campbell.
- Wheeler has a higher poverty level at 14% compared to 6% in Campbell.
- The unemployment rate in Wheeler is higher at 4.1%, compared to 3.6% in Campbell.
Demographics
Demographics Wheeler vs Campbell provide insight into the diversity of the communities to compare.
Demographic | Wheeler | Campbell |
---|---|---|
Black | 3 | 2 |
White | 63 | 42 |
Asian | Data is updating | 27 |
Hispanic | 26 | 18 |
Two or More Races | 8 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs Campbell
- A higher percentage of Black residents are in Wheeler at 3% compared to 2% in Campbell.
- Wheeler has a higher percentage of White residents at 63% compared to 42% in Campbell.
- In Campbell, the Asian population stands at 27%, greater than 0% in Wheeler.
- The Hispanic community is larger in Wheeler at 26% compared to 18% in Campbell.
- The percentage of residents identifying as two or more races is higher in Campbell at 11%, compared to 8% in Wheeler.
- The percentage of American Indian residents is the same in both Wheeler and Campbell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wheeler | Campbell |
---|---|---|
Mental Health Not Good | 18.9% | 13.3% |
Physical Health Not Good | 13.6% | 8.0% |
Depression | 24.8% | 16.8% |
Smoking | 20.3% | 8.0% |
Binge Drinking | 17.8% | 15.9% |
Obesity | 39.0% | 21.0% |
Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Wheeler vs Campbell
- More residents in Wheeler report poor mental health at 18.9% compared to 13.3% in Campbell.
- Depression is more prevalent in Wheeler at 24.8% compared to 16.8% in Campbell.
- Smoking is more prevalent in Wheeler at 20.3% compared to 8.0% in Campbell.
- Binge drinking is more common in Wheeler at 17.8% compared to 15.9% in Campbell.
- Obesity rates are higher in Wheeler at 39.0% compared to 21.0% in Campbell.
- Disability percentages are higher in Wheeler at 16.0% 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 | Wheeler | Campbell |
---|---|---|
No Schooling | 1.2% (59) | 1.4% (599) |
High School Diploma | 23.7% (1,141) | 8.1% (3,429) |
Less than High School | 19.7% (948) | 7.6% (3,214) |
Bachelor's Degree and Higher | 12.4% (596) | 44.5% (18,829) |
Education Levels Comparison: Wheeler vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.4% compared to 1.2% in Wheeler.
- A higher percentage of residents in Wheeler hold a high school diploma at 23.7% compared to 8.1% in Campbell.
- More residents in Wheeler have less than a high school education at 19.7% compared to 7.6% in Campbell.
- In Campbell, a larger share of residents have a bachelor's degree or higher at 44.5% compared to 12.4% in Wheeler.
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.