Demographics details for Cross city, FL vs Lawrence, MA
Population Overview
Compare main population characteristics in Cross city, FL vs Lawrence, MA.
| Data | Cross city | Lawrence |
|---|---|---|
| Population | 1,754 | 87,954 |
| Median Age | 40.2 years | 31.5 years |
| Median Income | $44,500 | $53,977 |
| Married Families | 47.0% | 26.0% |
| Poverty Level | 18% | 15% |
| Unemployment Rate | 3.5 | 7.1 |
Population Comparison: Cross city vs Lawrence
- The population in Lawrence is higher at 87,954, compared to 1,754 in Cross city.
- Residents in Cross city have a higher median age of 40.2 years compared to 31.5 years in Lawrence.
- Lawrence has a higher median income of $53,977, compared to $44,500 in Cross city.
- A higher percentage of married families is found in Cross city at 47.0% compared to 26.0% in Lawrence.
- Cross city has a higher poverty level at 18% compared to 15% in Lawrence.
- Lawrence has a higher unemployment rate at 7.1% compared to 3.5% in Cross city.
Demographics
Demographics Cross city vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Cross city | Lawrence |
|---|---|---|
| Black | 20 | 5 |
| White | 61 | -4 |
| Asian | 2 | 2 |
| Hispanic | 9 | 82 |
| Two or More Races | 8 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross city vs Lawrence
- A higher percentage of Black residents are in Cross city at 20% compared to 5% in Lawrence.
- Cross city has a higher percentage of White residents at 61% compared to -4% in Lawrence.
- Both Cross city and Lawrence have the same percentage of Asian residents at 2%.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 9% in Cross city.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 8% in Cross city.
- The percentage of American Indian residents is the same in both Cross city and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cross city | Lawrence |
|---|---|---|
| Mental Health Not Good | 20.0% | 18.9% |
| Physical Health Not Good | 15.8% | 14.2% |
| Depression | 23.8% | 22.4% |
| Smoking | 29.1% | 17.3% |
| Binge Drinking | 14.8% | 14.5% |
| Obesity | 40.8% | 37.4% |
| Disability Percentage | 32.0% | 14.0% |
Health Statistics Comparison: Cross city vs Lawrence
- More residents in Cross city report poor mental health at 20.0% compared to 18.9% in Lawrence.
- Depression is more prevalent in Cross city at 23.8% compared to 22.4% in Lawrence.
- Smoking is more prevalent in Cross city at 29.1% compared to 17.3% in Lawrence.
- Binge drinking is more common in Cross city at 14.8% compared to 14.5% in Lawrence.
- Obesity rates are higher in Cross city at 40.8% compared to 37.4% in Lawrence.
- Disability percentages are higher in Cross city at 32.0% 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 | Cross city | Lawrence |
|---|---|---|
| No Schooling | 0.9% (15) | 2.7% (2,366) |
| High School Diploma | 39.2% (688) | 18.6% (16,316) |
| Less than High School | 11.7% (205) | 34.1% (29,963) |
| Bachelor's Degree and Higher | 7.8% (136) | 9.2% (8,067) |
Education Levels Comparison: Cross city vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 0.9% in Cross city.
- A higher percentage of residents in Cross city hold a high school diploma at 39.2% 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 11.7% in Cross city.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 9.2% compared to 7.8% in Cross city.
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.