Demographics details for Philadelphia, PA vs Lawrence, MA
Population Overview
Compare main population characteristics in Philadelphia, PA vs Lawrence, MA.
Data | Philadelphia | Lawrence |
---|---|---|
Population | 1,567,258 | 87,954 |
Median Age | 34.8 years | 31.5 years |
Median Income | $57,537 | $53,977 |
Married Families | 26.0% | 26.0% |
Poverty Level | 25% | 15% |
Unemployment Rate | 4.7 | 7.1 |
Population Comparison: Philadelphia vs Lawrence
- In Philadelphia, the population is higher at 1,567,258, compared to 87,954 in Lawrence.
- Residents in Philadelphia have a higher median age of 34.8 years compared to 31.5 years in Lawrence.
- Philadelphia has a higher median income of $57,537 compared to $53,977 in Lawrence.
- The percentage of married families is the same in both Philadelphia and Lawrence at 26.0%.
- Philadelphia has a higher poverty level at 25% compared to 15% in Lawrence.
- Lawrence has a higher unemployment rate at 7.1% compared to 4.7% in Philadelphia.
Demographics
Demographics Philadelphia vs Lawrence provide insight into the diversity of the communities to compare.
Demographic | Philadelphia | Lawrence |
---|---|---|
Black | 41 | 5 |
White | 29 | -4 |
Asian | 8 | 2 |
Hispanic | 16 | 82 |
Two or More Races | 6 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Philadelphia vs Lawrence
- A higher percentage of Black residents are in Philadelphia at 41% compared to 5% in Lawrence.
- Philadelphia has a higher percentage of White residents at 29% compared to -4% in Lawrence.
- The Asian population is larger in Philadelphia at 8% compared to 2% in Lawrence.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 16% in Philadelphia.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 6% in Philadelphia.
- The percentage of American Indian residents is the same in both Philadelphia and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Philadelphia | Lawrence |
---|---|---|
Mental Health Not Good | 18.0% | 18.9% |
Physical Health Not Good | 12.8% | 14.2% |
Depression | 21.0% | 22.4% |
Smoking | 18.9% | 17.3% |
Binge Drinking | 16.9% | 14.5% |
Obesity | 31.3% | 37.4% |
Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Philadelphia vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 18.9% compared to 18.0% in Philadelphia.
- Higher depression rates are seen in Lawrence at 22.4% versus 21.0% in Philadelphia.
- Smoking is more prevalent in Philadelphia at 18.9% compared to 17.3% in Lawrence.
- Binge drinking is more common in Philadelphia at 16.9% compared to 14.5% in Lawrence.
- Lawrence has higher obesity rates at 37.4% compared to 31.3% in Philadelphia.
- Disability percentages are higher in Philadelphia at 17.0% 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 | Philadelphia | Lawrence |
---|---|---|
No Schooling | 1.5% (23,668) | 2.7% (2,366) |
High School Diploma | 18.3% (287,402) | 18.6% (16,316) |
Less than High School | 13.3% (207,719) | 34.1% (29,963) |
Bachelor's Degree and Higher | 23.4% (366,310) | 9.2% (8,067) |
Education Levels Comparison: Philadelphia vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 1.5% in Philadelphia.
- In Lawrence, the rate of residents with high school diplomas is higher at 18.6% compared to 18.3% in Philadelphia.
- The percentage of residents with less than a high school education is higher in Lawrence at 34.1%, compared to 13.3% in Philadelphia.
- A higher percentage of residents in Philadelphia hold a bachelor's degree or higher at 23.4% 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.