Demographics details for Berkeley, CA vs Prairie farm, WI
Population Overview
Compare main population characteristics in Berkeley, CA vs Prairie farm, WI.
| Data | Berkeley | Prairie farm |
|---|---|---|
| Population | 118,950 | 498 |
| Median Age | 32.5 years | 47.9 years |
| Median Income | $104,716 | $55,192 |
| Married Families | 31.0% | 45.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Berkeley vs Prairie farm
- In Berkeley, the population is higher at 118,950, compared to 498 in Prairie farm.
- The median age in Prairie farm is higher at 47.9 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $55,192 in Prairie farm.
- In Prairie farm, the percentage of married families is higher at 45.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 10% in Prairie farm.
- The unemployment rate in Berkeley is higher at 4.5%, compared to 3.5% in Prairie farm.
Demographics
Demographics Berkeley vs Prairie farm provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Prairie farm |
|---|---|---|
| Black | 8 | Data is updating |
| White | 48 | 96 |
| Asian | 21 | Data is updating |
| Hispanic | 12 | 2 |
| Two or More Races | 10 | 1 |
| American Indian | 1 | 1 |
Demographics Comparison: Berkeley vs Prairie farm
- A higher percentage of Black residents are in Berkeley at 8% compared to 0% in Prairie farm.
- The percentage of White residents is higher in Prairie farm at 96% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 0% in Prairie farm.
- The Hispanic community is larger in Berkeley at 12% compared to 2% in Prairie farm.
- More residents identify as two or more races in Berkeley at 10% compared to 1% in Prairie farm.
- The percentage of American Indian residents is the same in both Berkeley and Prairie farm at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Prairie farm |
|---|---|---|
| Mental Health Not Good | 15.0% | 16.0% |
| Physical Health Not Good | 8.6% | 10.8% |
| Depression | 18.8% | 24.2% |
| Smoking | 9.0% | 18.3% |
| Binge Drinking | 16.1% | 24.1% |
| Obesity | 26.8% | 35.7% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Berkeley vs Prairie farm
- In Prairie farm, a higher percentage report poor mental health at 16.0% compared to 15.0% in Berkeley.
- Higher depression rates are seen in Prairie farm at 24.2% versus 18.8% in Berkeley.
- Prairie farm has a higher smoking rate at 18.3% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Prairie farm at 24.1% compared to 16.1% in Berkeley.
- Prairie farm has higher obesity rates at 35.7% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Prairie farm at 15.0% 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 | Prairie farm |
|---|---|---|
| No Schooling | 0.7% (780) | 0.2% (1) |
| High School Diploma | 3.9% (4,580) | 32.3% (161) |
| Less than High School | 4.0% (4,800) | 11.6% (58) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 6.8% (34) |
Education Levels Comparison: Berkeley vs Prairie farm
- A higher percentage of residents in Berkeley have no formal schooling at 0.7% compared to 0.2% in Prairie farm.
- In Prairie farm, the rate of residents with high school diplomas is higher at 32.3% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Prairie farm at 11.6%, 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 6.8% in Prairie farm.
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.