Demographics details for Berkeley, CA vs Swan lake, NY
Population Overview
Compare main population characteristics in Berkeley, CA vs Swan lake, NY.
| Data | Berkeley | Swan lake |
|---|---|---|
| Population | 118,950 | 331 |
| Median Age | 32.5 years | 40.0 years |
| Median Income | $104,716 | $55,000 |
| Married Families | 31.0% | 52.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Berkeley vs Swan lake
- In Berkeley, the population is higher at 118,950, compared to 331 in Swan lake.
- The median age in Swan lake is higher at 40.0 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $55,000 in Swan lake.
- In Swan lake, the percentage of married families is higher at 52.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 5% in Swan lake.
- The unemployment rate in Berkeley is higher at 4.5%, compared to 3.0% in Swan lake.
Demographics
Demographics Berkeley vs Swan lake provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Swan lake |
|---|---|---|
| Black | 8 | 5 |
| White | 48 | 80 |
| Asian | 21 | 10 |
| Hispanic | 12 | 5 |
| Two or More Races | 10 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Swan lake
- A higher percentage of Black residents are in Berkeley at 8% compared to 5% in Swan lake.
- The percentage of White residents is higher in Swan lake at 80% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 10% in Swan lake.
- The Hispanic community is larger in Berkeley at 12% compared to 5% in Swan lake.
- More residents identify as two or more races in Berkeley at 10% compared to 0% in Swan lake.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Swan lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Swan lake |
|---|---|---|
| Mental Health Not Good | 15.0% | Data is updating% |
| Physical Health Not Good | 8.6% | Data is updating% |
| Depression | 18.8% | Data is updating% |
| Smoking | 9.0% | Data is updating% |
| Binge Drinking | 16.1% | Data is updating% |
| Obesity | 26.8% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Berkeley vs Swan lake
- More residents in Berkeley report poor mental health at 15.0% compared to 0.0% in Swan lake.
- Depression is more prevalent in Berkeley at 18.8% compared to 0.0% in Swan lake.
- Smoking is more prevalent in Berkeley at 9.0% compared to 0.0% in Swan lake.
- Binge drinking is more common in Berkeley at 16.1% compared to 0.0% in Swan lake.
- Obesity rates are higher in Berkeley at 26.8% compared to 0.0% in Swan lake.
- Disability percentages are higher in Berkeley at 10.0% compared to 0.0% in Swan lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berkeley | Swan lake |
|---|---|---|
| No Schooling | 0.7% (780) | 0.0% (Data is updating) |
| High School Diploma | 3.9% (4,580) | 0.0% (Data is updating) |
| Less than High School | 4.0% (4,800) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 0.0% (Data is updating) |
Education Levels Comparison: Berkeley vs Swan lake
- A higher percentage of residents in Berkeley have no formal schooling at 0.7% compared to 0.0% in Swan lake.
- A higher percentage of residents in Berkeley hold a high school diploma at 3.9% compared to 0.0% in Swan lake.
- More residents in Berkeley have less than a high school education at 4.0% compared to 0.0% in Swan lake.
- A higher percentage of residents in Berkeley hold a bachelor's degree or higher at 47.8% compared to 0.0% in Swan lake.
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.