Demographics details for Beverly, MA vs Lincoln, TX
Population Overview
Compare main population characteristics in Beverly, MA vs Lincoln, TX.
| Data | Beverly | Lincoln |
|---|---|---|
| Population | 42,235 | 276 |
| Median Age | 40.3 years | 36.0 years |
| Median Income | $99,525 | $55,000 |
| Married Families | 40.0% | 63.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Beverly vs Lincoln
- In Beverly, the population is higher at 42,235, compared to 276 in Lincoln.
- Residents in Beverly have a higher median age of 40.3 years compared to 36.0 years in Lincoln.
- Beverly has a higher median income of $99,525 compared to $55,000 in Lincoln.
- In Lincoln, the percentage of married families is higher at 63.0%, compared to 40.0% in Beverly.
- The poverty level is higher in Lincoln at 12%, compared to 5% in Beverly.
- Lincoln has a higher unemployment rate at 4.5% compared to 3.5% in Beverly.
Demographics
Demographics Beverly vs Lincoln provide insight into the diversity of the communities to compare.
| Demographic | Beverly | Lincoln |
|---|---|---|
| Black | 3 | 5 |
| White | 83 | 90 |
| Asian | 3 | Data is updating |
| Hispanic | 6 | 5 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Beverly vs Lincoln
- In Lincoln, the percentage of Black residents is higher at 5% compared to 3% in Beverly.
- The percentage of White residents is higher in Lincoln at 90% compared to 83% in Beverly.
- The Asian population is larger in Beverly at 3% compared to 0% in Lincoln.
- The Hispanic community is larger in Beverly at 6% compared to 5% in Lincoln.
- More residents identify as two or more races in Beverly at 5% compared to 0% in Lincoln.
- The percentage of American Indian residents is the same in both Beverly and Lincoln at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beverly | Lincoln |
|---|---|---|
| Mental Health Not Good | 16.1% | Data is updating% |
| Physical Health Not Good | 8.5% | Data is updating% |
| Depression | 23.6% | Data is updating% |
| Smoking | 11.9% | Data is updating% |
| Binge Drinking | 18.4% | Data is updating% |
| Obesity | 28.5% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Beverly vs Lincoln
- More residents in Beverly report poor mental health at 16.1% compared to 0.0% in Lincoln.
- Depression is more prevalent in Beverly at 23.6% compared to 0.0% in Lincoln.
- Smoking is more prevalent in Beverly at 11.9% compared to 0.0% in Lincoln.
- Binge drinking is more common in Beverly at 18.4% compared to 0.0% in Lincoln.
- Obesity rates are higher in Beverly at 28.5% compared to 0.0% in Lincoln.
- Disability percentages are higher in Beverly at 11.0% compared to 0.0% in Lincoln.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Beverly | Lincoln |
|---|---|---|
| No Schooling | 0.3% (143) | 0.0% (Data is updating) |
| High School Diploma | 13.0% (5,502) | 0.0% (Data is updating) |
| Less than High School | 4.0% (1,686) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 36.2% (15,307) | 0.0% (Data is updating) |
Education Levels Comparison: Beverly vs Lincoln
- A higher percentage of residents in Beverly have no formal schooling at 0.3% compared to 0.0% in Lincoln.
- A higher percentage of residents in Beverly hold a high school diploma at 13.0% compared to 0.0% in Lincoln.
- More residents in Beverly have less than a high school education at 4.0% compared to 0.0% in Lincoln.
- A higher percentage of residents in Beverly hold a bachelor's degree or higher at 36.2% compared to 0.0% in Lincoln.
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.