Demographics details for Berkeley, CA vs Uniontown, PA
Population Overview
Compare main population characteristics in Berkeley, CA vs Uniontown, PA.
| Data | Berkeley | Uniontown |
|---|---|---|
| Population | 118,950 | 9,689 |
| Median Age | 32.5 years | 42.6 years |
| Median Income | $104,716 | $37,886 |
| Married Families | 31.0% | 30.0% |
| Poverty Level | 14% | 22% |
| Unemployment Rate | 4.5 | 6.7 |
Population Comparison: Berkeley vs Uniontown
- In Berkeley, the population is higher at 118,950, compared to 9,689 in Uniontown.
- The median age in Uniontown is higher at 42.6 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $37,886 in Uniontown.
- A higher percentage of married families is found in Berkeley at 31.0% compared to 30.0% in Uniontown.
- The poverty level is higher in Uniontown at 22%, compared to 14% in Berkeley.
- Uniontown has a higher unemployment rate at 6.7% compared to 4.5% in Berkeley.
Demographics
Demographics Berkeley vs Uniontown provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Uniontown |
|---|---|---|
| Black | 8 | 18 |
| White | 48 | 74 |
| Asian | 21 | 2 |
| Hispanic | 12 | 1 |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Uniontown
- In Uniontown, the percentage of Black residents is higher at 18% compared to 8% in Berkeley.
- The percentage of White residents is higher in Uniontown at 74% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 2% in Uniontown.
- The Hispanic community is larger in Berkeley at 12% compared to 1% in Uniontown.
- More residents identify as two or more races in Berkeley at 10% compared to 5% in Uniontown.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Uniontown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Uniontown |
|---|---|---|
| Mental Health Not Good | 15.0% | 20.6% |
| Physical Health Not Good | 8.6% | 15.2% |
| Depression | 18.8% | 25.6% |
| Smoking | 9.0% | 26.3% |
| Binge Drinking | 16.1% | 16.1% |
| Obesity | 26.8% | 41.1% |
| Disability Percentage | 10.0% | 24.0% |
Health Statistics Comparison: Berkeley vs Uniontown
- In Uniontown, a higher percentage report poor mental health at 20.6% compared to 15.0% in Berkeley.
- Higher depression rates are seen in Uniontown at 25.6% versus 18.8% in Berkeley.
- Uniontown has a higher smoking rate at 26.3% compared to 9.0% in Berkeley.
- Binge drinking rates are similar in both Berkeley and Uniontown at 16.1%.
- Uniontown has higher obesity rates at 41.1% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Uniontown at 24.0% 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 | Uniontown |
|---|---|---|
| No Schooling | 0.7% (780) | 0.6% (56) |
| High School Diploma | 3.9% (4,580) | 28.6% (2,770) |
| Less than High School | 4.0% (4,800) | 17.5% (1,695) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 14.9% (1,440) |
Education Levels Comparison: Berkeley vs Uniontown
- A higher percentage of residents in Berkeley have no formal schooling at 0.7% compared to 0.6% in Uniontown.
- In Uniontown, the rate of residents with high school diplomas is higher at 28.6% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Uniontown at 17.5%, 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 14.9% in Uniontown.
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.