Demographics details for Weymouth, MA vs Loma linda, CA
Population Overview
Compare main population characteristics in Weymouth, MA vs Loma linda, CA.
| Data | Weymouth | Loma linda |
|---|---|---|
| Population | 57,410 | 25,129 |
| Median Age | 44.3 years | 37.8 years |
| Median Income | $95,879 | $70,685 |
| Married Families | 43.0% | 40.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.9 | 3.7 |
Population Comparison: Weymouth vs Loma linda
- In Weymouth, the population is higher at 57,410, compared to 25,129 in Loma linda.
- Residents in Weymouth have a higher median age of 44.3 years compared to 37.8 years in Loma linda.
- Weymouth has a higher median income of $95,879 compared to $70,685 in Loma linda.
- A higher percentage of married families is found in Weymouth at 43.0% compared to 40.0% in Loma linda.
- The poverty level is higher in Loma linda at 10%, compared to 5% in Weymouth.
- The unemployment rate in Weymouth is higher at 3.9%, compared to 3.7% in Loma linda.
Demographics
Demographics Weymouth vs Loma linda provide insight into the diversity of the communities to compare.
| Demographic | Weymouth | Loma linda |
|---|---|---|
| Black | 5 | 6 |
| White | 80 | 28 |
| Asian | 7 | 26 |
| Hispanic | 4 | 28 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Weymouth vs Loma linda
- In Loma linda, the percentage of Black residents is higher at 6% compared to 5% in Weymouth.
- Weymouth has a higher percentage of White residents at 80% compared to 28% in Loma linda.
- In Loma linda, the Asian population stands at 26%, greater than 7% in Weymouth.
- Loma linda has a higher percentage of Hispanic residents at 28%, compared to 4% in Weymouth.
- The percentage of residents identifying as two or more races is higher in Loma linda at 11%, compared to 4% in Weymouth.
- In Loma linda, the percentage of American Indian residents is higher at 1%, compared to 0% in Weymouth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Weymouth | Loma linda |
|---|---|---|
| Mental Health Not Good | 15.6% | 15.1% |
| Physical Health Not Good | 9.2% | 10.2% |
| Depression | 22.5% | 16.5% |
| Smoking | 13.4% | 11.1% |
| Binge Drinking | 20.1% | 13.9% |
| Obesity | 26.5% | 31.7% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Weymouth vs Loma linda
- More residents in Weymouth report poor mental health at 15.6% compared to 15.1% in Loma linda.
- Depression is more prevalent in Weymouth at 22.5% compared to 16.5% in Loma linda.
- Smoking is more prevalent in Weymouth at 13.4% compared to 11.1% in Loma linda.
- Binge drinking is more common in Weymouth at 20.1% compared to 13.9% in Loma linda.
- Loma linda has higher obesity rates at 31.7% compared to 26.5% in Weymouth.
- There is a higher percentage of disabled individuals in Loma linda at 13.0% compared to 11.0% in Weymouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Weymouth | Loma linda |
|---|---|---|
| No Schooling | 1.0% (580) | 1.6% (401) |
| High School Diploma | 17.4% (10,001) | 9.5% (2,397) |
| Less than High School | 6.9% (3,967) | 13.1% (3,304) |
| Bachelor's Degree and Higher | 30.9% (17,724) | 35.4% (8,904) |
Education Levels Comparison: Weymouth vs Loma linda
- In Loma linda, a larger percentage of residents lack formal schooling at 1.6% compared to 1.0% in Weymouth.
- A higher percentage of residents in Weymouth hold a high school diploma at 17.4% compared to 9.5% in Loma linda.
- The percentage of residents with less than a high school education is higher in Loma linda at 13.1%, compared to 6.9% in Weymouth.
- In Loma linda, a larger share of residents have a bachelor's degree or higher at 35.4% compared to 30.9% in Weymouth.
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.