Demographics details for Long beach, CA vs Joliet, IL
Population Overview
Compare main population characteristics in Long beach, CA vs Joliet, IL.
Data | Long beach | Joliet |
---|---|---|
Population | 451,307 | 150,033 |
Median Age | 36.1 years | 34.3 years |
Median Income | $78,995 | $84,971 |
Married Families | 32.0% | 35.0% |
Poverty Level | 18% | 12% |
Unemployment Rate | 6.0 | 7.1 |
Population Comparison: Long beach vs Joliet
- In Long beach, the population is higher at 451,307, compared to 150,033 in Joliet.
- Residents in Long beach have a higher median age of 36.1 years compared to 34.3 years in Joliet.
- Joliet has a higher median income of $84,971, compared to $78,995 in Long beach.
- In Joliet, the percentage of married families is higher at 35.0%, compared to 32.0% in Long beach.
- Long beach has a higher poverty level at 18% compared to 12% in Joliet.
- Joliet has a higher unemployment rate at 7.1% compared to 6.0% in Long beach.
Demographics
Demographics Long beach vs Joliet provide insight into the diversity of the communities to compare.
Demographic | Long beach | Joliet |
---|---|---|
Black | 12 | 17 |
White | 17 | 36 |
Asian | 13 | 2 |
Hispanic | 45 | 34 |
Two or More Races | 12 | 10 |
American Indian | 1 | 1 |
Demographics Comparison: Long beach vs Joliet
- In Joliet, the percentage of Black residents is higher at 17% compared to 12% in Long beach.
- The percentage of White residents is higher in Joliet at 36% compared to 17% in Long beach.
- The Asian population is larger in Long beach at 13% compared to 2% in Joliet.
- The Hispanic community is larger in Long beach at 45% compared to 34% in Joliet.
- More residents identify as two or more races in Long beach at 12% compared to 10% in Joliet.
- The percentage of American Indian residents is the same in both Long beach and Joliet at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Long beach | Joliet |
---|---|---|
Mental Health Not Good | 16.0% | 15.7% |
Physical Health Not Good | 11.6% | 11.7% |
Depression | 16.2% | 19.1% |
Smoking | 12.0% | 16.9% |
Binge Drinking | 14.9% | 16.2% |
Obesity | 29.3% | 37.4% |
Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Long beach vs Joliet
- More residents in Long beach report poor mental health at 16.0% compared to 15.7% in Joliet.
- Higher depression rates are seen in Joliet at 19.1% versus 16.2% in Long beach.
- Joliet has a higher smoking rate at 16.9% compared to 12.0% in Long beach.
- More residents engage in binge drinking in Joliet at 16.2% compared to 14.9% in Long beach.
- Joliet has higher obesity rates at 37.4% compared to 29.3% in Long beach.
- Disability percentages are higher in Long beach at 11.0% compared to 9.0% in Joliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Long beach | Joliet |
---|---|---|
No Schooling | 4.6% (20,870) | 1.5% (2,247) |
High School Diploma | 11.0% (49,640) | 14.9% (22,362) |
Less than High School | 23.7% (106,838) | 17.5% (26,199) |
Bachelor's Degree and Higher | 23.8% (107,451) | 15.6% (23,354) |
Education Levels Comparison: Long beach vs Joliet
- A higher percentage of residents in Long beach have no formal schooling at 4.6% compared to 1.5% in Joliet.
- In Joliet, the rate of residents with high school diplomas is higher at 14.9% compared to 11.0% in Long beach.
- More residents in Long beach have less than a high school education at 23.7% compared to 17.5% in Joliet.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 23.8% compared to 15.6% in Joliet.
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.