Demographics details for Long beach, CA vs Gatesville, TX
Population Overview
Compare main population characteristics in Long beach, CA vs Gatesville, TX.
| Data | Long beach | Gatesville |
|---|---|---|
| Population | 451,307 | 16,198 |
| Median Age | 36.1 years | 39.4 years |
| Median Income | $78,995 | $46,536 |
| Married Families | 32.0% | 27.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.0 | 4.5 |
Population Comparison: Long beach vs Gatesville
- In Long beach, the population is higher at 451,307, compared to 16,198 in Gatesville.
- The median age in Gatesville is higher at 39.4 years, compared to 36.1 years in Long beach.
- Long beach has a higher median income of $78,995 compared to $46,536 in Gatesville.
- A higher percentage of married families is found in Long beach at 32.0% compared to 27.0% in Gatesville.
- Long beach has a higher poverty level at 18% compared to 12% in Gatesville.
- The unemployment rate in Long beach is higher at 6.0%, compared to 4.5% in Gatesville.
Demographics
Demographics Long beach vs Gatesville provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Gatesville |
|---|---|---|
| Black | 12 | 15 |
| White | 17 | 42 |
| Asian | 13 | 1 |
| Hispanic | 45 | 25 |
| Two or More Races | 12 | 17 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Gatesville
- In Gatesville, the percentage of Black residents is higher at 15% compared to 12% in Long beach.
- The percentage of White residents is higher in Gatesville at 42% compared to 17% in Long beach.
- The Asian population is larger in Long beach at 13% compared to 1% in Gatesville.
- The Hispanic community is larger in Long beach at 45% compared to 25% in Gatesville.
- The percentage of residents identifying as two or more races is higher in Gatesville at 17%, compared to 12% in Long beach.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Gatesville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Gatesville |
|---|---|---|
| Mental Health Not Good | 16.0% | 21.2% |
| Physical Health Not Good | 11.6% | 14.3% |
| Depression | 16.2% | 29.6% |
| Smoking | 12.0% | 22.2% |
| Binge Drinking | 14.9% | 15.1% |
| Obesity | 29.3% | 43.6% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Long beach vs Gatesville
- In Gatesville, a higher percentage report poor mental health at 21.2% compared to 16.0% in Long beach.
- Higher depression rates are seen in Gatesville at 29.6% versus 16.2% in Long beach.
- Gatesville has a higher smoking rate at 22.2% compared to 12.0% in Long beach.
- More residents engage in binge drinking in Gatesville at 15.1% compared to 14.9% in Long beach.
- Gatesville has higher obesity rates at 43.6% compared to 29.3% in Long beach.
- Disability percentages are the same in both Long beach and Gatesville at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long beach | Gatesville |
|---|---|---|
| No Schooling | 4.6% (20,870) | 0.8% (133) |
| High School Diploma | 11.0% (49,640) | 13.1% (2,118) |
| Less than High School | 23.7% (106,838) | 28.0% (4,538) |
| Bachelor's Degree and Higher | 23.8% (107,451) | 6.9% (1,111) |
Education Levels Comparison: Long beach vs Gatesville
- A higher percentage of residents in Long beach have no formal schooling at 4.6% compared to 0.8% in Gatesville.
- In Gatesville, the rate of residents with high school diplomas is higher at 13.1% compared to 11.0% in Long beach.
- The percentage of residents with less than a high school education is higher in Gatesville at 28.0%, compared to 23.7% in Long beach.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 23.8% 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.