Demographics details for Berkeley, CA vs Snover, MI
Population Overview
Compare main population characteristics in Berkeley, CA vs Snover, MI.
Data | Berkeley | Snover |
---|---|---|
Population | 118,950 | 260 |
Median Age | 32.5 years | 51.5 years |
Median Income | $104,716 | $44,948 |
Married Families | 31.0% | 41.0% |
Poverty Level | 14% | 9% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Berkeley vs Snover
- In Berkeley, the population is higher at 118,950, compared to 260 in Snover.
- The median age in Snover is higher at 51.5 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $44,948 in Snover.
- In Snover, the percentage of married families is higher at 41.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 9% in Snover.
- The unemployment rate is the same in both Berkeley and Snover at 4.5%.
Demographics
Demographics Berkeley vs Snover provide insight into the diversity of the communities to compare.
Demographic | Berkeley | Snover |
---|---|---|
Black | 8 | Data is updating |
White | 48 | 97 |
Asian | 21 | 3 |
Hispanic | 12 | Data is updating |
Two or More Races | 10 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Snover
- A higher percentage of Black residents are in Berkeley at 8% compared to 0% in Snover.
- The percentage of White residents is higher in Snover at 97% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 3% in Snover.
- The Hispanic community is larger in Berkeley at 12% compared to 0% in Snover.
- More residents identify as two or more races in Berkeley at 10% compared to 0% in Snover.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Snover.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Berkeley | Snover |
---|---|---|
Mental Health Not Good | 15.0% | 18.9% |
Physical Health Not Good | 8.6% | 12.8% |
Depression | 18.8% | 26.5% |
Smoking | 9.0% | 22.9% |
Binge Drinking | 16.1% | 17.4% |
Obesity | 26.8% | 35.3% |
Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Berkeley vs Snover
- In Snover, a higher percentage report poor mental health at 18.9% compared to 15.0% in Berkeley.
- Higher depression rates are seen in Snover at 26.5% versus 18.8% in Berkeley.
- Snover has a higher smoking rate at 22.9% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Snover at 17.4% compared to 16.1% in Berkeley.
- Snover has higher obesity rates at 35.3% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Snover at 17.0% compared to 10.0% in Berkeley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Berkeley | Snover |
---|---|---|
No Schooling | 0.7% (780) | 0.0% (Data is updating) |
High School Diploma | 3.9% (4,580) | 36.5% (95) |
Less than High School | 4.0% (4,800) | 29.2% (76) |
Bachelor's Degree and Higher | 47.8% (56,907) | 1.9% (5) |
Education Levels Comparison: Berkeley vs Snover
- A higher percentage of residents in Berkeley have no formal schooling at 0.7% compared to 0.0% in Snover.
- In Snover, the rate of residents with high school diplomas is higher at 36.5% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Snover at 29.2%, compared to 4.0% in Berkeley.
- A higher percentage of residents in Berkeley hold a bachelor's degree or higher at 47.8% compared to 1.9% in Snover.
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.