Demographics details for Trexlertown, PA vs Berkeley, CA
Population Overview
Compare main population characteristics in Trexlertown, PA vs Berkeley, CA.
Data | Trexlertown | Berkeley |
---|---|---|
Population | 1,885 | 118,950 |
Median Age | 34.6 years | 32.5 years |
Median Income | $93,472 | $104,716 |
Married Families | 50.0% | 31.0% |
Poverty Level | 4% | 14% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Trexlertown vs Berkeley
- The population in Berkeley is higher at 118,950, compared to 1,885 in Trexlertown.
- Residents in Trexlertown have a higher median age of 34.6 years compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716, compared to $93,472 in Trexlertown.
- A higher percentage of married families is found in Trexlertown at 50.0% compared to 31.0% in Berkeley.
- The poverty level is higher in Berkeley at 14%, compared to 4% in Trexlertown.
- Berkeley has a higher unemployment rate at 4.5% compared to 3.5% in Trexlertown.
Demographics
Demographics Trexlertown vs Berkeley provide insight into the diversity of the communities to compare.
Demographic | Trexlertown | Berkeley |
---|---|---|
Black | 18 | 8 |
White | 65 | 48 |
Asian | 11 | 21 |
Hispanic | 5 | 12 |
Two or More Races | 1 | 10 |
American Indian | Data is updating | 1 |
Demographics Comparison: Trexlertown vs Berkeley
- A higher percentage of Black residents are in Trexlertown at 18% compared to 8% in Berkeley.
- Trexlertown has a higher percentage of White residents at 65% compared to 48% in Berkeley.
- In Berkeley, the Asian population stands at 21%, greater than 11% in Trexlertown.
- Berkeley has a higher percentage of Hispanic residents at 12%, compared to 5% in Trexlertown.
- The percentage of residents identifying as two or more races is higher in Berkeley at 10%, compared to 1% in Trexlertown.
- In Berkeley, the percentage of American Indian residents is higher at 1%, compared to 0% in Trexlertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Trexlertown | Berkeley |
---|---|---|
Mental Health Not Good | 13.5% | 15.0% |
Physical Health Not Good | 8.2% | 8.6% |
Depression | 19.9% | 18.8% |
Smoking | 12.3% | 9.0% |
Binge Drinking | 19.4% | 16.1% |
Obesity | 28.2% | 26.8% |
Disability Percentage | 3.0% | 10.0% |
Health Statistics Comparison: Trexlertown vs Berkeley
- In Berkeley, a higher percentage report poor mental health at 15.0% compared to 13.5% in Trexlertown.
- Depression is more prevalent in Trexlertown at 19.9% compared to 18.8% in Berkeley.
- Smoking is more prevalent in Trexlertown at 12.3% compared to 9.0% in Berkeley.
- Binge drinking is more common in Trexlertown at 19.4% compared to 16.1% in Berkeley.
- Obesity rates are higher in Trexlertown at 28.2% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Berkeley at 10.0% compared to 3.0% in Trexlertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Trexlertown | Berkeley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (780) |
High School Diploma | 18.4% (347) | 3.9% (4,580) |
Less than High School | 4.0% (76) | 4.0% (4,800) |
Bachelor's Degree and Higher | 41.2% (776) | 47.8% (56,907) |
Education Levels Comparison: Trexlertown vs Berkeley
- In Berkeley, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Trexlertown.
- A higher percentage of residents in Trexlertown hold a high school diploma at 18.4% compared to 3.9% in Berkeley.
- Both cities report the same percentage of residents with less than a high school education at 4.0%.
- In Berkeley, a larger share of residents have a bachelor's degree or higher at 47.8% compared to 41.2% in Trexlertown.
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.