Demographics details for Long beach, CA vs Horn lake, MS
Population Overview
Compare main population characteristics in Long beach, CA vs Horn lake, MS.
| Data | Long beach | Horn lake |
|---|---|---|
| Population | 451,307 | 26,550 |
| Median Age | 36.1 years | 35.5 years |
| Median Income | $78,995 | $57,111 |
| Married Families | 32.0% | 31.0% |
| Poverty Level | 18% | 19% |
| Unemployment Rate | 6.0 | 3.7 |
Population Comparison: Long beach vs Horn lake
- In Long beach, the population is higher at 451,307, compared to 26,550 in Horn lake.
- Residents in Long beach have a higher median age of 36.1 years compared to 35.5 years in Horn lake.
- Long beach has a higher median income of $78,995 compared to $57,111 in Horn lake.
- A higher percentage of married families is found in Long beach at 32.0% compared to 31.0% in Horn lake.
- The poverty level is higher in Horn lake at 19%, compared to 18% in Long beach.
- The unemployment rate in Long beach is higher at 6.0%, compared to 3.7% in Horn lake.
Demographics
Demographics Long beach vs Horn lake provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Horn lake |
|---|---|---|
| Black | 12 | 45 |
| White | 17 | 40 |
| Asian | 13 | 1 |
| Hispanic | 45 | 9 |
| Two or More Races | 12 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Horn lake
- In Horn lake, the percentage of Black residents is higher at 45% compared to 12% in Long beach.
- The percentage of White residents is higher in Horn lake at 40% compared to 17% in Long beach.
- The Asian population is larger in Long beach at 13% compared to 1% in Horn lake.
- The Hispanic community is larger in Long beach at 45% compared to 9% in Horn lake.
- More residents identify as two or more races in Long beach at 12% compared to 5% in Horn lake.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Horn lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Horn lake |
|---|---|---|
| Mental Health Not Good | 16.0% | 17.2% |
| Physical Health Not Good | 11.6% | 12.9% |
| Depression | 16.2% | 23.5% |
| Smoking | 12.0% | 20.4% |
| Binge Drinking | 14.9% | 12.9% |
| Obesity | 29.3% | 43.4% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Long beach vs Horn lake
- In Horn lake, a higher percentage report poor mental health at 17.2% compared to 16.0% in Long beach.
- Higher depression rates are seen in Horn lake at 23.5% versus 16.2% in Long beach.
- Horn lake has a higher smoking rate at 20.4% compared to 12.0% in Long beach.
- Binge drinking is more common in Long beach at 14.9% compared to 12.9% in Horn lake.
- Horn lake has higher obesity rates at 43.4% compared to 29.3% in Long beach.
- There is a higher percentage of disabled individuals in Horn lake at 13.0% 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 | Long beach | Horn lake |
|---|---|---|
| No Schooling | 4.6% (20,870) | 0.9% (252) |
| High School Diploma | 11.0% (49,640) | 18.1% (4,818) |
| Less than High School | 23.7% (106,838) | 16.3% (4,319) |
| Bachelor's Degree and Higher | 23.8% (107,451) | 10.5% (2,777) |
Education Levels Comparison: Long beach vs Horn lake
- A higher percentage of residents in Long beach have no formal schooling at 4.6% compared to 0.9% in Horn lake.
- In Horn lake, the rate of residents with high school diplomas is higher at 18.1% compared to 11.0% in Long beach.
- More residents in Long beach have less than a high school education at 23.7% compared to 16.3% in Horn lake.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 23.8% compared to 10.5% in Horn lake.
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.