Demographics details for Marengo, IL vs Long beach, WA
Population Overview
Compare main population characteristics in Marengo, IL vs Long beach, WA.
Data | Marengo | Long beach |
---|---|---|
Population | 7,565 | 1,754 |
Median Age | 31.1 years | 51.3 years |
Median Income | $71,196 | $47,188 |
Married Families | 36.0% | 41.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 4.5 | 5.5 |
Population Comparison: Marengo vs Long beach
- In Marengo, the population is higher at 7,565, compared to 1,754 in Long beach.
- The median age in Long beach is higher at 51.3 years, compared to 31.1 years in Marengo.
- Marengo has a higher median income of $71,196 compared to $47,188 in Long beach.
- In Long beach, the percentage of married families is higher at 41.0%, compared to 36.0% in Marengo.
- The poverty level is higher in Long beach at 10%, compared to 5% in Marengo.
- Long beach has a higher unemployment rate at 5.5% compared to 4.5% in Marengo.
Demographics
Demographics Marengo vs Long beach provide insight into the diversity of the communities to compare.
Demographic | Marengo | Long beach |
---|---|---|
Black | 1 | Data is updating |
White | 80 | 86 |
Asian | Data is updating | 1 |
Hispanic | 16 | 7 |
Two or More Races | 3 | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Marengo vs Long beach
- A higher percentage of Black residents are in Marengo at 1% compared to 0% in Long beach.
- The percentage of White residents is higher in Long beach at 86% compared to 80% in Marengo.
- In Long beach, the Asian population stands at 1%, greater than 0% in Marengo.
- The Hispanic community is larger in Marengo at 16% compared to 7% in Long beach.
- The percentage of residents identifying as two or more races is higher in Long beach at 5%, compared to 3% in Marengo.
- In Long beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Marengo.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marengo | Long beach |
---|---|---|
Mental Health Not Good | 15.1% | 20.3% |
Physical Health Not Good | 10.1% | 14.8% |
Depression | 20.4% | 28.9% |
Smoking | 14.9% | 20.1% |
Binge Drinking | 18.6% | 16.2% |
Obesity | 31.7% | 38.5% |
Disability Percentage | 11.0% | 28.0% |
Health Statistics Comparison: Marengo vs Long beach
- In Long beach, a higher percentage report poor mental health at 20.3% compared to 15.1% in Marengo.
- Higher depression rates are seen in Long beach at 28.9% versus 20.4% in Marengo.
- Long beach has a higher smoking rate at 20.1% compared to 14.9% in Marengo.
- Binge drinking is more common in Marengo at 18.6% compared to 16.2% in Long beach.
- Long beach has higher obesity rates at 38.5% compared to 31.7% in Marengo.
- There is a higher percentage of disabled individuals in Long beach at 28.0% compared to 11.0% in Marengo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marengo | Long beach |
---|---|---|
No Schooling | 1.1% (85) | 0.0% (Data is updating) |
High School Diploma | 21.2% (1,605) | 19.6% (343) |
Less than High School | 11.6% (874) | 13.6% (238) |
Bachelor's Degree and Higher | 11.3% (853) | 14.3% (250) |
Education Levels Comparison: Marengo vs Long beach
- A higher percentage of residents in Marengo have no formal schooling at 1.1% compared to 0.0% in Long beach.
- A higher percentage of residents in Marengo hold a high school diploma at 21.2% compared to 19.6% in Long beach.
- The percentage of residents with less than a high school education is higher in Long beach at 13.6%, compared to 11.6% in Marengo.
- In Long beach, a larger share of residents have a bachelor's degree or higher at 14.3% compared to 11.3% in Marengo.
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.