Demographics details for Franklin, TX vs Long beach, CA
Population Overview
Compare main population characteristics in Franklin, TX vs Long beach, CA.
| Data | Franklin | Long beach |
|---|---|---|
| Population | 10,618 | 451,307 |
| Median Age | 42.9 years | 36.1 years |
| Median Income | $67,915 | $78,995 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.6 | 6.0 |
Population Comparison: Franklin vs Long beach
- The population in Long beach is higher at 451,307, compared to 10,618 in Franklin.
- Residents in Franklin have a higher median age of 42.9 years compared to 36.1 years in Long beach.
- Long beach has a higher median income of $78,995, compared to $67,915 in Franklin.
- A higher percentage of married families is found in Franklin at 42.0% compared to 32.0% in Long beach.
- The poverty level is higher in Long beach at 18%, compared to 12% in Franklin.
- Long beach has a higher unemployment rate at 6.0% compared to 4.6% in Franklin.
Demographics
Demographics Franklin vs Long beach provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Long beach |
|---|---|---|
| Black | 4 | 12 |
| White | 69 | 17 |
| Asian | Data is updating | 13 |
| Hispanic | 15 | 45 |
| Two or More Races | 12 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Franklin vs Long beach
- In Long beach, the percentage of Black residents is higher at 12% compared to 4% in Franklin.
- Franklin has a higher percentage of White residents at 69% compared to 17% in Long beach.
- In Long beach, the Asian population stands at 13%, greater than 0% in Franklin.
- Long beach has a higher percentage of Hispanic residents at 45%, compared to 15% in Franklin.
- Both Franklin and Long beach have the same percentage of residents identifying as two or more races at 12%.
- In Long beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Long beach |
|---|---|---|
| Mental Health Not Good | 16.3% | 16.0% |
| Physical Health Not Good | 10.3% | 11.6% |
| Depression | 23.5% | 16.2% |
| Smoking | 14.8% | 12.0% |
| Binge Drinking | 19.8% | 14.9% |
| Obesity | 33.2% | 29.3% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Franklin vs Long beach
- More residents in Franklin report poor mental health at 16.3% compared to 16.0% in Long beach.
- Depression is more prevalent in Franklin at 23.5% compared to 16.2% in Long beach.
- Smoking is more prevalent in Franklin at 14.8% compared to 12.0% in Long beach.
- Binge drinking is more common in Franklin at 19.8% compared to 14.9% in Long beach.
- Obesity rates are higher in Franklin at 33.2% compared to 29.3% in Long beach.
- Disability percentages are higher in Franklin at 15.0% compared to 11.0% in Long beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Long beach |
|---|---|---|
| No Schooling | 0.5% (51) | 4.6% (20,870) |
| High School Diploma | 15.0% (1,588) | 11.0% (49,640) |
| Less than High School | 11.3% (1,197) | 23.7% (106,838) |
| Bachelor's Degree and Higher | 21.2% (2,251) | 23.8% (107,451) |
Education Levels Comparison: Franklin vs Long beach
- In Long beach, a larger percentage of residents lack formal schooling at 4.6% compared to 0.5% in Franklin.
- A higher percentage of residents in Franklin hold a high school diploma at 15.0% compared to 11.0% in Long beach.
- The percentage of residents with less than a high school education is higher in Long beach at 23.7%, compared to 11.3% in Franklin.
- In Long beach, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 21.2% in Franklin.
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.