Demographics details for Penn valley, CA vs Lawrence, MA
Population Overview
Compare main population characteristics in Penn valley, CA vs Lawrence, MA.
Data | Penn valley | Lawrence |
---|---|---|
Population | 1,188 | 87,954 |
Median Age | 55.7 years | 31.5 years |
Median Income | $65,882 | $53,977 |
Married Families | 60.0% | 26.0% |
Poverty Level | 8% | 15% |
Unemployment Rate | 5.1 | 7.1 |
Population Comparison: Penn valley vs Lawrence
- The population in Lawrence is higher at 87,954, compared to 1,188 in Penn valley.
- Residents in Penn valley have a higher median age of 55.7 years compared to 31.5 years in Lawrence.
- Penn valley has a higher median income of $65,882 compared to $53,977 in Lawrence.
- A higher percentage of married families is found in Penn valley at 60.0% compared to 26.0% in Lawrence.
- The poverty level is higher in Lawrence at 15%, compared to 8% in Penn valley.
- Lawrence has a higher unemployment rate at 7.1% compared to 5.1% in Penn valley.
Demographics
Demographics Penn valley vs Lawrence provide insight into the diversity of the communities to compare.
Demographic | Penn valley | Lawrence |
---|---|---|
Black | Data is updating | 5 |
White | 86 | -4 |
Asian | Data is updating | 2 |
Hispanic | 7 | 82 |
Two or More Races | 7 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Penn valley vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 0% in Penn valley.
- Penn valley has a higher percentage of White residents at 86% compared to -4% in Lawrence.
- In Lawrence, the Asian population stands at 2%, greater than 0% in Penn valley.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 7% in Penn valley.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 7% in Penn valley.
- The percentage of American Indian residents is the same in both Penn valley and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Penn valley | Lawrence |
---|---|---|
Mental Health Not Good | 18.4% | 18.9% |
Physical Health Not Good | 11.8% | 14.2% |
Depression | 22.9% | 22.4% |
Smoking | 14.8% | 17.3% |
Binge Drinking | 17.9% | 14.5% |
Obesity | 29.5% | 37.4% |
Disability Percentage | 30.0% | 14.0% |
Health Statistics Comparison: Penn valley vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 18.9% compared to 18.4% in Penn valley.
- Depression is more prevalent in Penn valley at 22.9% compared to 22.4% in Lawrence.
- Lawrence has a higher smoking rate at 17.3% compared to 14.8% in Penn valley.
- Binge drinking is more common in Penn valley at 17.9% compared to 14.5% in Lawrence.
- Lawrence has higher obesity rates at 37.4% compared to 29.5% in Penn valley.
- Disability percentages are higher in Penn valley at 30.0% compared to 14.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Penn valley | Lawrence |
---|---|---|
No Schooling | 4.9% (58) | 2.7% (2,366) |
High School Diploma | 21.6% (257) | 18.6% (16,316) |
Less than High School | 8.2% (98) | 34.1% (29,963) |
Bachelor's Degree and Higher | 12.3% (146) | 9.2% (8,067) |
Education Levels Comparison: Penn valley vs Lawrence
- A higher percentage of residents in Penn valley have no formal schooling at 4.9% compared to 2.7% in Lawrence.
- A higher percentage of residents in Penn valley hold a high school diploma at 21.6% compared to 18.6% in Lawrence.
- The percentage of residents with less than a high school education is higher in Lawrence at 34.1%, compared to 8.2% in Penn valley.
- A higher percentage of residents in Penn valley hold a bachelor's degree or higher at 12.3% compared to 9.2% in Lawrence.
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.