Demographics details for Grand saline, TX vs Campbell, CA
Population Overview
Compare main population characteristics in Grand saline, TX vs Campbell, CA.
Data | Grand saline | Campbell |
---|---|---|
Population | 3,219 | 42,286 |
Median Age | 42.6 years | 39.3 years |
Median Income | $37,823 | $141,794 |
Married Families | 33.0% | 45.0% |
Poverty Level | 16% | 6% |
Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Grand saline vs Campbell
- The population in Campbell is higher at 42,286, compared to 3,219 in Grand saline.
- Residents in Grand saline have a higher median age of 42.6 years compared to 39.3 years in Campbell.
- Campbell has a higher median income of $141,794, compared to $37,823 in Grand saline.
- In Campbell, the percentage of married families is higher at 45.0%, compared to 33.0% in Grand saline.
- Grand saline has a higher poverty level at 16% compared to 6% in Campbell.
- Campbell has a higher unemployment rate at 3.6% compared to 3.5% in Grand saline.
Demographics
Demographics Grand saline vs Campbell provide insight into the diversity of the communities to compare.
Demographic | Grand saline | Campbell |
---|---|---|
Black | 1 | 2 |
White | 56 | 42 |
Asian | Data is updating | 27 |
Hispanic | 31 | 18 |
Two or More Races | 11 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Grand saline vs Campbell
- In Campbell, the percentage of Black residents is higher at 2% compared to 1% in Grand saline.
- Grand saline has a higher percentage of White residents at 56% compared to 42% in Campbell.
- In Campbell, the Asian population stands at 27%, greater than 0% in Grand saline.
- The Hispanic community is larger in Grand saline at 31% compared to 18% in Campbell.
- Both Grand saline and Campbell have the same percentage of residents identifying as two or more races at 11%.
- A greater percentage of American Indian residents live in Grand saline at 1% compared to 0% in Campbell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Grand saline | Campbell |
---|---|---|
Mental Health Not Good | 22.1% | 13.3% |
Physical Health Not Good | 16.9% | 8.0% |
Depression | 27.9% | 16.8% |
Smoking | 26.7% | 8.0% |
Binge Drinking | 16.7% | 15.9% |
Obesity | 40.2% | 21.0% |
Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Grand saline vs Campbell
- More residents in Grand saline report poor mental health at 22.1% compared to 13.3% in Campbell.
- Depression is more prevalent in Grand saline at 27.9% compared to 16.8% in Campbell.
- Smoking is more prevalent in Grand saline at 26.7% compared to 8.0% in Campbell.
- Binge drinking is more common in Grand saline at 16.7% compared to 15.9% in Campbell.
- Obesity rates are higher in Grand saline at 40.2% compared to 21.0% in Campbell.
- Disability percentages are higher in Grand saline at 17.0% 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 | Grand saline | Campbell |
---|---|---|
No Schooling | 2.9% (94) | 1.4% (599) |
High School Diploma | 17.6% (568) | 8.1% (3,429) |
Less than High School | 44.1% (1,421) | 7.6% (3,214) |
Bachelor's Degree and Higher | 6.6% (213) | 44.5% (18,829) |
Education Levels Comparison: Grand saline vs Campbell
- A higher percentage of residents in Grand saline have no formal schooling at 2.9% compared to 1.4% in Campbell.
- A higher percentage of residents in Grand saline hold a high school diploma at 17.6% compared to 8.1% in Campbell.
- More residents in Grand saline have less than a high school education at 44.1% 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 6.6% in Grand saline.
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.