Demographics details for Beverly, MA vs Cleveland, GA
Population Overview
Compare main population characteristics in Beverly, MA vs Cleveland, GA.
| Data | Beverly | Cleveland |
|---|---|---|
| Population | 42,235 | 3,548 |
| Median Age | 40.3 years | 39.6 years |
| Median Income | $99,525 | $46,994 |
| Married Families | 40.0% | 25.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Beverly vs Cleveland
- In Beverly, the population is higher at 42,235, compared to 3,548 in Cleveland.
- Residents in Beverly have a higher median age of 40.3 years compared to 39.6 years in Cleveland.
- Beverly has a higher median income of $99,525 compared to $46,994 in Cleveland.
- A higher percentage of married families is found in Beverly at 40.0% compared to 25.0% in Cleveland.
- The poverty level is higher in Cleveland at 12%, compared to 5% in Beverly.
- The unemployment rate is the same in both Beverly and Cleveland at 3.5%.
Demographics
Demographics Beverly vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Beverly | Cleveland |
|---|---|---|
| Black | 3 | 5 |
| White | 83 | 84 |
| Asian | 3 | 2 |
| Hispanic | 6 | 2 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Beverly vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 5% compared to 3% in Beverly.
- The percentage of White residents is higher in Cleveland at 84% compared to 83% in Beverly.
- The Asian population is larger in Beverly at 3% compared to 2% in Cleveland.
- The Hispanic community is larger in Beverly at 6% compared to 2% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Cleveland at 7%, compared to 5% in Beverly.
- The percentage of American Indian residents is the same in both Beverly and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beverly | Cleveland |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.1% |
| Physical Health Not Good | 8.5% | 12.8% |
| Depression | 23.6% | 24.2% |
| Smoking | 11.9% | 18.9% |
| Binge Drinking | 18.4% | 16.2% |
| Obesity | 28.5% | 33.2% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Beverly vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 18.1% compared to 16.1% in Beverly.
- Higher depression rates are seen in Cleveland at 24.2% versus 23.6% in Beverly.
- Cleveland has a higher smoking rate at 18.9% compared to 11.9% in Beverly.
- Binge drinking is more common in Beverly at 18.4% compared to 16.2% in Cleveland.
- Cleveland has higher obesity rates at 33.2% compared to 28.5% in Beverly.
- There is a higher percentage of disabled individuals in Cleveland at 17.0% 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 | Beverly | Cleveland |
|---|---|---|
| No Schooling | 0.3% (143) | 0.8% (30) |
| High School Diploma | 13.0% (5,502) | 18.5% (656) |
| Less than High School | 4.0% (1,686) | 15.4% (545) |
| Bachelor's Degree and Higher | 36.2% (15,307) | 10.2% (362) |
Education Levels Comparison: Beverly vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Beverly.
- In Cleveland, the rate of residents with high school diplomas is higher at 18.5% compared to 13.0% in Beverly.
- The percentage of residents with less than a high school education is higher in Cleveland at 15.4%, compared to 4.0% in Beverly.
- A higher percentage of residents in Beverly hold a bachelor's degree or higher at 36.2% compared to 10.2% in Cleveland.
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.