Demographics details for Long beach, WA vs Syracuse, NY
Population Overview
Compare main population characteristics in Long beach, WA vs Syracuse, NY.
| Data | Long beach | Syracuse |
|---|---|---|
| Population | 1,754 | 144,451 |
| Median Age | 51.3 years | 31.9 years |
| Median Income | $47,188 | $43,584 |
| Married Families | 41.0% | 22.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.5 | 5.1 |
Population Comparison: Long beach vs Syracuse
- The population in Syracuse is higher at 144,451, compared to 1,754 in Long beach.
- Residents in Long beach have a higher median age of 51.3 years compared to 31.9 years in Syracuse.
- Long beach has a higher median income of $47,188 compared to $43,584 in Syracuse.
- A higher percentage of married families is found in Long beach at 41.0% compared to 22.0% in Syracuse.
- Long beach has a higher poverty level at 10% compared to 0% in Syracuse.
- The unemployment rate in Long beach is higher at 5.5%, compared to 5.1% in Syracuse.
Demographics
Demographics Long beach vs Syracuse provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Syracuse |
|---|---|---|
| Black | Data is updating | 29 |
| White | 86 | 45 |
| Asian | 1 | 7 |
| Hispanic | 7 | 10 |
| Two or More Races | 5 | 8 |
| American Indian | 1 | 1 |
Demographics Comparison: Long beach vs Syracuse
- In Syracuse, the percentage of Black residents is higher at 29% compared to 0% in Long beach.
- Long beach has a higher percentage of White residents at 86% compared to 45% in Syracuse.
- In Syracuse, the Asian population stands at 7%, greater than 1% in Long beach.
- Syracuse has a higher percentage of Hispanic residents at 10%, compared to 7% in Long beach.
- The percentage of residents identifying as two or more races is higher in Syracuse at 8%, compared to 5% in Long beach.
- The percentage of American Indian residents is the same in both Long beach and Syracuse at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Syracuse |
|---|---|---|
| Mental Health Not Good | 20.3% | 20.3% |
| Physical Health Not Good | 14.8% | 15.0% |
| Depression | 28.9% | 26.9% |
| Smoking | 20.1% | 26.9% |
| Binge Drinking | 16.2% | 14.0% |
| Obesity | 38.5% | 42.6% |
| Disability Percentage | 28.0% | 16.0% |
Health Statistics Comparison: Long beach vs Syracuse
- Poor mental health levels are equal in both Long beach and Syracuse at 20.3%.
- Depression is more prevalent in Long beach at 28.9% compared to 26.9% in Syracuse.
- Syracuse has a higher smoking rate at 26.9% compared to 20.1% in Long beach.
- Binge drinking is more common in Long beach at 16.2% compared to 14.0% in Syracuse.
- Syracuse has higher obesity rates at 42.6% compared to 38.5% in Long beach.
- Disability percentages are higher in Long beach at 28.0% compared to 16.0% in Syracuse.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long beach | Syracuse |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (2,595) |
| High School Diploma | 19.6% (343) | 12.7% (18,391) |
| Less than High School | 13.6% (238) | 14.1% (20,347) |
| Bachelor's Degree and Higher | 14.3% (250) | 18.5% (26,759) |
Education Levels Comparison: Long beach vs Syracuse
- In Syracuse, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Long beach.
- A higher percentage of residents in Long beach hold a high school diploma at 19.6% compared to 12.7% in Syracuse.
- The percentage of residents with less than a high school education is higher in Syracuse at 14.1%, compared to 13.6% in Long beach.
- In Syracuse, a larger share of residents have a bachelor's degree or higher at 18.5% compared to 14.3% in Long beach.
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.