Demographics details for Long beach, WA vs East orange, NJ
Population Overview
Compare main population characteristics in Long beach, WA vs East orange, NJ.
Data | Long beach | East orange |
---|---|---|
Population | 1,754 | 68,446 |
Median Age | 51.3 years | 35.1 years |
Median Income | $47,188 | $58,659 |
Married Families | 41.0% | 23.0% |
Poverty Level | 10% | 18% |
Unemployment Rate | 5.5 | 8.2 |
Population Comparison: Long beach vs East orange
- The population in East orange is higher at 68,446, compared to 1,754 in Long beach.
- Residents in Long beach have a higher median age of 51.3 years compared to 35.1 years in East orange.
- East orange has a higher median income of $58,659, compared to $47,188 in Long beach.
- A higher percentage of married families is found in Long beach at 41.0% compared to 23.0% in East orange.
- The poverty level is higher in East orange at 18%, compared to 10% in Long beach.
- East orange has a higher unemployment rate at 8.2% compared to 5.5% in Long beach.
Demographics
Demographics Long beach vs East orange provide insight into the diversity of the communities to compare.
Demographic | Long beach | East orange |
---|---|---|
Black | Data is updating | 81 |
White | 86 | -1 |
Asian | 1 | 2 |
Hispanic | 7 | 12 |
Two or More Races | 5 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs East orange
- In East orange, the percentage of Black residents is higher at 81% compared to 0% in Long beach.
- Long beach has a higher percentage of White residents at 86% compared to -1% in East orange.
- In East orange, the Asian population stands at 2%, greater than 1% in Long beach.
- East orange has a higher percentage of Hispanic residents at 12%, compared to 7% in Long beach.
- The percentage of residents identifying as two or more races is higher in East orange at 6%, compared to 5% in Long beach.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in East orange.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Long beach | East orange |
---|---|---|
Mental Health Not Good | 20.3% | 16.3% |
Physical Health Not Good | 14.8% | 12.6% |
Depression | 28.9% | 16.5% |
Smoking | 20.1% | 17.3% |
Binge Drinking | 16.2% | 13.3% |
Obesity | 38.5% | 39.1% |
Disability Percentage | 28.0% | 12.0% |
Health Statistics Comparison: Long beach vs East orange
- More residents in Long beach report poor mental health at 20.3% compared to 16.3% in East orange.
- Depression is more prevalent in Long beach at 28.9% compared to 16.5% in East orange.
- Smoking is more prevalent in Long beach at 20.1% compared to 17.3% in East orange.
- Binge drinking is more common in Long beach at 16.2% compared to 13.3% in East orange.
- East orange has higher obesity rates at 39.1% compared to 38.5% in Long beach.
- Disability percentages are higher in Long beach at 28.0% compared to 12.0% in East orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Long beach | East orange |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.6% (1,070) |
High School Diploma | 19.6% (343) | 21.0% (14,369) |
Less than High School | 13.6% (238) | 11.7% (8,024) |
Bachelor's Degree and Higher | 14.3% (250) | 14.8% (10,108) |
Education Levels Comparison: Long beach vs East orange
- In East orange, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Long beach.
- In East orange, the rate of residents with high school diplomas is higher at 21.0% compared to 19.6% in Long beach.
- More residents in Long beach have less than a high school education at 13.6% compared to 11.7% in East orange.
- In East orange, a larger share of residents have a bachelor's degree or higher at 14.8% 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.