Demographics details for Lawrence, MA vs Mountain view, CA
Population Overview
Compare main population characteristics in Lawrence, MA vs Mountain view, CA.
| Data | Lawrence | Mountain view |
|---|---|---|
| Population | 87,954 | 81,059 |
| Median Age | 31.5 years | 35.5 years |
| Median Income | $53,977 | $174,156 |
| Married Families | 26.0% | 43.0% |
| Poverty Level | 15% | 6% |
| Unemployment Rate | 7.1 | 3.2 |
Population Comparison: Lawrence vs Mountain view
- In Lawrence, the population is higher at 87,954, compared to 81,059 in Mountain view.
- The median age in Mountain view is higher at 35.5 years, compared to 31.5 years in Lawrence.
- Mountain view has a higher median income of $174,156, compared to $53,977 in Lawrence.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 26.0% in Lawrence.
- Lawrence has a higher poverty level at 15% compared to 6% in Mountain view.
- The unemployment rate in Lawrence is higher at 7.1%, compared to 3.2% in Mountain view.
Demographics
Demographics Lawrence vs Mountain view provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Mountain view |
|---|---|---|
| Black | 5 | 2 |
| White | -4 | 32 |
| Asian | 2 | 34 |
| Hispanic | 82 | 19 |
| Two or More Races | 15 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lawrence vs Mountain view
- A higher percentage of Black residents are in Lawrence at 5% compared to 2% in Mountain view.
- The percentage of White residents is higher in Mountain view at 32% compared to -4% in Lawrence.
- In Mountain view, the Asian population stands at 34%, greater than 2% in Lawrence.
- The Hispanic community is larger in Lawrence at 82% compared to 19% in Mountain view.
- More residents identify as two or more races in Lawrence at 15% compared to 12% in Mountain view.
- In Mountain view, the percentage of American Indian residents is higher at 1%, compared to 0% in Lawrence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Mountain view |
|---|---|---|
| Mental Health Not Good | 18.9% | 11.7% |
| Physical Health Not Good | 14.2% | 7.1% |
| Depression | 22.4% | 14.7% |
| Smoking | 17.3% | 6.5% |
| Binge Drinking | 14.5% | 14.9% |
| Obesity | 37.4% | 19.1% |
| Disability Percentage | 14.0% | 6.0% |
Health Statistics Comparison: Lawrence vs Mountain view
- More residents in Lawrence report poor mental health at 18.9% compared to 11.7% in Mountain view.
- Depression is more prevalent in Lawrence at 22.4% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Lawrence at 17.3% compared to 6.5% in Mountain view.
- More residents engage in binge drinking in Mountain view at 14.9% compared to 14.5% in Lawrence.
- Obesity rates are higher in Lawrence at 37.4% compared to 19.1% in Mountain view.
- Disability percentages are higher in Lawrence at 14.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lawrence | Mountain view |
|---|---|---|
| No Schooling | 2.7% (2,366) | 1.0% (826) |
| High School Diploma | 18.6% (16,316) | 4.9% (3,963) |
| Less than High School | 34.1% (29,963) | 7.1% (5,739) |
| Bachelor's Degree and Higher | 9.2% (8,067) | 54.5% (44,174) |
Education Levels Comparison: Lawrence vs Mountain view
- A higher percentage of residents in Lawrence have no formal schooling at 2.7% compared to 1.0% in Mountain view.
- A higher percentage of residents in Lawrence hold a high school diploma at 18.6% compared to 4.9% in Mountain view.
- More residents in Lawrence have less than a high school education at 34.1% compared to 7.1% in Mountain view.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% 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.