Demographics details for Dillon, SC vs Long beach, CA
Population Overview
Compare main population characteristics in Dillon, SC vs Long beach, CA.
| Data | Dillon | Long beach |
|---|---|---|
| Population | 27,738 | 451,307 |
| Median Age | 37.5 years | 36.1 years |
| Median Income | $42,454 | $78,995 |
| Married Families | 30.0% | 32.0% |
| Poverty Level | 19% | 18% |
| Unemployment Rate | 6.3 | 6.0 |
Population Comparison: Dillon vs Long beach
- The population in Long beach is higher at 451,307, compared to 27,738 in Dillon.
- Residents in Dillon have a higher median age of 37.5 years compared to 36.1 years in Long beach.
- Long beach has a higher median income of $78,995, compared to $42,454 in Dillon.
- In Long beach, the percentage of married families is higher at 32.0%, compared to 30.0% in Dillon.
- Dillon has a higher poverty level at 19% compared to 18% in Long beach.
- The unemployment rate in Dillon is higher at 6.3%, compared to 6.0% in Long beach.
Demographics
Demographics Dillon vs Long beach provide insight into the diversity of the communities to compare.
| Demographic | Dillon | Long beach |
|---|---|---|
| Black | 47 | 12 |
| White | 45 | 17 |
| Asian | Data is updating | 13 |
| Hispanic | 3 | 45 |
| Two or More Races | 3 | 12 |
| American Indian | 2 | 1 |
Demographics Comparison: Dillon vs Long beach
- A higher percentage of Black residents are in Dillon at 47% compared to 12% in Long beach.
- Dillon has a higher percentage of White residents at 45% compared to 17% in Long beach.
- In Long beach, the Asian population stands at 13%, greater than 0% in Dillon.
- Long beach has a higher percentage of Hispanic residents at 45%, compared to 3% in Dillon.
- The percentage of residents identifying as two or more races is higher in Long beach at 12%, compared to 3% in Dillon.
- A greater percentage of American Indian residents live in Dillon at 2% compared to 1% in Long beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dillon | Long beach |
|---|---|---|
| Mental Health Not Good | 21.1% | 16.0% |
| Physical Health Not Good | 15.9% | 11.6% |
| Depression | 21.8% | 16.2% |
| Smoking | 26.1% | 12.0% |
| Binge Drinking | 14.2% | 14.9% |
| Obesity | 43.9% | 29.3% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Dillon vs Long beach
- More residents in Dillon report poor mental health at 21.1% compared to 16.0% in Long beach.
- Depression is more prevalent in Dillon at 21.8% compared to 16.2% in Long beach.
- Smoking is more prevalent in Dillon at 26.1% compared to 12.0% in Long beach.
- More residents engage in binge drinking in Long beach at 14.9% compared to 14.2% in Dillon.
- Obesity rates are higher in Dillon at 43.9% compared to 29.3% in Long beach.
- Disability percentages are higher in Dillon at 17.0% 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 | Dillon | Long beach |
|---|---|---|
| No Schooling | 1.0% (266) | 4.6% (20,870) |
| High School Diploma | 25.6% (7,112) | 11.0% (49,640) |
| Less than High School | 22.4% (6,212) | 23.7% (106,838) |
| Bachelor's Degree and Higher | 8.0% (2,220) | 23.8% (107,451) |
Education Levels Comparison: Dillon vs Long beach
- In Long beach, a larger percentage of residents lack formal schooling at 4.6% compared to 1.0% in Dillon.
- A higher percentage of residents in Dillon hold a high school diploma at 25.6% 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 22.4% in Dillon.
- In Long beach, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 8.0% in Dillon.
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.