Demographics details for League city, TX vs Beverly, MA
Population Overview
Compare main population characteristics in League city, TX vs Beverly, MA.
| Data | League city | Beverly |
|---|---|---|
| Population | 115,418 | 42,235 |
| Median Age | 37.1 years | 40.3 years |
| Median Income | $117,316 | $99,525 |
| Married Families | 48.0% | 40.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: League city vs Beverly
- In League city, the population is higher at 115,418, compared to 42,235 in Beverly.
- The median age in Beverly is higher at 40.3 years, compared to 37.1 years in League city.
- League city has a higher median income of $117,316 compared to $99,525 in Beverly.
- A higher percentage of married families is found in League city at 48.0% compared to 40.0% in Beverly.
- League city has a higher poverty level at 6% compared to 5% in Beverly.
- The unemployment rate in League city is higher at 3.8%, compared to 3.5% in Beverly.
Demographics
Demographics League city vs Beverly provide insight into the diversity of the communities to compare.
| Demographic | League city | Beverly |
|---|---|---|
| Black | 8 | 3 |
| White | 57 | 83 |
| Asian | 6 | 3 |
| Hispanic | 19 | 6 |
| Two or More Races | 10 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: League city vs Beverly
- A higher percentage of Black residents are in League city at 8% compared to 3% in Beverly.
- The percentage of White residents is higher in Beverly at 83% compared to 57% in League city.
- The Asian population is larger in League city at 6% compared to 3% in Beverly.
- The Hispanic community is larger in League city at 19% compared to 6% in Beverly.
- More residents identify as two or more races in League city at 10% compared to 5% in Beverly.
- The percentage of American Indian residents is the same in both League city and Beverly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | League city | Beverly |
|---|---|---|
| Mental Health Not Good | 14.1% | 16.1% |
| Physical Health Not Good | 8.6% | 8.5% |
| Depression | 21.0% | 23.6% |
| Smoking | 11.2% | 11.9% |
| Binge Drinking | 19.5% | 18.4% |
| Obesity | 30.4% | 28.5% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: League city vs Beverly
- In Beverly, a higher percentage report poor mental health at 16.1% compared to 14.1% in League city.
- Higher depression rates are seen in Beverly at 23.6% versus 21.0% in League city.
- Beverly has a higher smoking rate at 11.9% compared to 11.2% in League city.
- Binge drinking is more common in League city at 19.5% compared to 18.4% in Beverly.
- Obesity rates are higher in League city at 30.4% compared to 28.5% in Beverly.
- There is a higher percentage of disabled individuals in Beverly at 11.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | League city | Beverly |
|---|---|---|
| No Schooling | 0.5% (597) | 0.3% (143) |
| High School Diploma | 8.9% (10,242) | 13.0% (5,502) |
| Less than High School | 4.9% (5,692) | 4.0% (1,686) |
| Bachelor's Degree and Higher | 31.5% (36,360) | 36.2% (15,307) |
Education Levels Comparison: League city vs Beverly
- A higher percentage of residents in League city have no formal schooling at 0.5% compared to 0.3% in Beverly.
- In Beverly, the rate of residents with high school diplomas is higher at 13.0% compared to 8.9% in League city.
- More residents in League city have less than a high school education at 4.9% compared to 4.0% in Beverly.
- In Beverly, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 31.5% in League 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.