Demographics details for Gatesville, TX vs Campbell, CA
Population Overview
Compare main population characteristics in Gatesville, TX vs Campbell, CA.
| Data | Gatesville | Campbell |
|---|---|---|
| Population | 16,198 | 42,286 |
| Median Age | 39.4 years | 39.3 years |
| Median Income | $46,536 | $141,794 |
| Married Families | 27.0% | 45.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 4.5 | 3.6 |
Population Comparison: Gatesville vs Campbell
- The population in Campbell is higher at 42,286, compared to 16,198 in Gatesville.
- Residents in Gatesville have a higher median age of 39.4 years compared to 39.3 years in Campbell.
- Campbell has a higher median income of $141,794, compared to $46,536 in Gatesville.
- In Campbell, the percentage of married families is higher at 45.0%, compared to 27.0% in Gatesville.
- Gatesville has a higher poverty level at 12% compared to 6% in Campbell.
- The unemployment rate in Gatesville is higher at 4.5%, compared to 3.6% in Campbell.
Demographics
Demographics Gatesville vs Campbell provide insight into the diversity of the communities to compare.
| Demographic | Gatesville | Campbell |
|---|---|---|
| Black | 15 | 2 |
| White | 42 | 42 |
| Asian | 1 | 27 |
| Hispanic | 25 | 18 |
| Two or More Races | 17 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gatesville vs Campbell
- A higher percentage of Black residents are in Gatesville at 15% compared to 2% in Campbell.
- The percentage of White residents is the same in both Gatesville and Campbell at 42%.
- In Campbell, the Asian population stands at 27%, greater than 1% in Gatesville.
- The Hispanic community is larger in Gatesville at 25% compared to 18% in Campbell.
- More residents identify as two or more races in Gatesville at 17% compared to 11% in Campbell.
- The percentage of American Indian residents is the same in both Gatesville and Campbell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gatesville | Campbell |
|---|---|---|
| Mental Health Not Good | 21.2% | 13.3% |
| Physical Health Not Good | 14.3% | 8.0% |
| Depression | 29.6% | 16.8% |
| Smoking | 22.2% | 8.0% |
| Binge Drinking | 15.1% | 15.9% |
| Obesity | 43.6% | 21.0% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Gatesville vs Campbell
- More residents in Gatesville report poor mental health at 21.2% compared to 13.3% in Campbell.
- Depression is more prevalent in Gatesville at 29.6% compared to 16.8% in Campbell.
- Smoking is more prevalent in Gatesville at 22.2% compared to 8.0% in Campbell.
- More residents engage in binge drinking in Campbell at 15.9% compared to 15.1% in Gatesville.
- Obesity rates are higher in Gatesville at 43.6% compared to 21.0% in Campbell.
- Disability percentages are higher in Gatesville at 11.0% 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 | Gatesville | Campbell |
|---|---|---|
| No Schooling | 0.8% (133) | 1.4% (599) |
| High School Diploma | 13.1% (2,118) | 8.1% (3,429) |
| Less than High School | 28.0% (4,538) | 7.6% (3,214) |
| Bachelor's Degree and Higher | 6.9% (1,111) | 44.5% (18,829) |
Education Levels Comparison: Gatesville vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Gatesville.
- A higher percentage of residents in Gatesville hold a high school diploma at 13.1% compared to 8.1% in Campbell.
- More residents in Gatesville have less than a high school education at 28.0% 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 6.9% in Gatesville.
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.