Demographics details for Chunchula, AL vs Beverly, MA
Population Overview
Compare main population characteristics in Chunchula, AL vs Beverly, MA.
| Data | Chunchula | Beverly |
|---|---|---|
| Population | 152 | 42,235 |
| Median Age | 49.3 years | 40.3 years |
| Median Income | $35,896 | $99,525 |
| Married Families | 32.0% | 40.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Chunchula vs Beverly
- The population in Beverly is higher at 42,235, compared to 152 in Chunchula.
- Residents in Chunchula have a higher median age of 49.3 years compared to 40.3 years in Beverly.
- Beverly has a higher median income of $99,525, compared to $35,896 in Chunchula.
- In Beverly, the percentage of married families is higher at 40.0%, compared to 32.0% in Chunchula.
- The poverty level is identical in both Chunchula and Beverly at 5%.
- Beverly has a higher unemployment rate at 3.5% compared to 3.1% in Chunchula.
Demographics
Demographics Chunchula vs Beverly provide insight into the diversity of the communities to compare.
| Demographic | Chunchula | Beverly |
|---|---|---|
| Black | 69 | 3 |
| White | 31 | 83 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 6 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chunchula vs Beverly
- A higher percentage of Black residents are in Chunchula at 69% compared to 3% in Beverly.
- The percentage of White residents is higher in Beverly at 83% compared to 31% in Chunchula.
- In Beverly, the Asian population stands at 3%, greater than 0% in Chunchula.
- Beverly has a higher percentage of Hispanic residents at 6%, compared to 0% in Chunchula.
- The percentage of residents identifying as two or more races is higher in Beverly at 5%, compared to 0% in Chunchula.
- The percentage of American Indian residents is the same in both Chunchula and Beverly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chunchula | Beverly |
|---|---|---|
| Mental Health Not Good | 20.1% | 16.1% |
| Physical Health Not Good | 14.4% | 8.5% |
| Depression | 21.8% | 23.6% |
| Smoking | 21.6% | 11.9% |
| Binge Drinking | 15.9% | 18.4% |
| Obesity | 43.3% | 28.5% |
| Disability Percentage | 30.0% | 11.0% |
Health Statistics Comparison: Chunchula vs Beverly
- More residents in Chunchula report poor mental health at 20.1% compared to 16.1% in Beverly.
- Higher depression rates are seen in Beverly at 23.6% versus 21.8% in Chunchula.
- Smoking is more prevalent in Chunchula at 21.6% compared to 11.9% in Beverly.
- More residents engage in binge drinking in Beverly at 18.4% compared to 15.9% in Chunchula.
- Obesity rates are higher in Chunchula at 43.3% compared to 28.5% in Beverly.
- Disability percentages are higher in Chunchula at 30.0% compared to 11.0% in Beverly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chunchula | Beverly |
|---|---|---|
| No Schooling | 24.3% (37) | 0.3% (143) |
| High School Diploma | 16.4% (25) | 13.0% (5,502) |
| Less than High School | 24.3% (37) | 4.0% (1,686) |
| Bachelor's Degree and Higher | 18.4% (28) | 36.2% (15,307) |
Education Levels Comparison: Chunchula vs Beverly
- A higher percentage of residents in Chunchula have no formal schooling at 24.3% compared to 0.3% in Beverly.
- A higher percentage of residents in Chunchula hold a high school diploma at 16.4% compared to 13.0% in Beverly.
- More residents in Chunchula have less than a high school education at 24.3% compared to 4.0% in Beverly.
- In Beverly, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 18.4% in Chunchula.
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.