Demographics details for Mansfield, TX vs Bay shore, NY
Population Overview
Compare main population characteristics in Mansfield, TX vs Bay shore, NY.
Data | Mansfield | Bay shore |
---|---|---|
Population | 76,724 | 30,553 |
Median Age | 37.3 years | 36.4 years |
Median Income | $112,465 | $103,272 |
Married Families | 42.0% | 32.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Mansfield vs Bay shore
- In Mansfield, the population is higher at 76,724, compared to 30,553 in Bay shore.
- Residents in Mansfield have a higher median age of 37.3 years compared to 36.4 years in Bay shore.
- Mansfield has a higher median income of $112,465 compared to $103,272 in Bay shore.
- A higher percentage of married families is found in Mansfield at 42.0% compared to 32.0% in Bay shore.
- Mansfield has a higher poverty level at 6% compared to 5% in Bay shore.
- Bay shore has a higher unemployment rate at 4.2% compared to 4.1% in Mansfield.
Demographics
Demographics Mansfield vs Bay shore provide insight into the diversity of the communities to compare.
Demographic | Mansfield | Bay shore |
---|---|---|
Black | 22 | 15 |
White | 49 | 31 |
Asian | 4 | 9 |
Hispanic | 16 | 33 |
Two or More Races | 9 | 10 |
American Indian | Data is updating | 2 |
Demographics Comparison: Mansfield vs Bay shore
- A higher percentage of Black residents are in Mansfield at 22% compared to 15% in Bay shore.
- Mansfield has a higher percentage of White residents at 49% compared to 31% in Bay shore.
- In Bay shore, the Asian population stands at 9%, greater than 4% in Mansfield.
- Bay shore has a higher percentage of Hispanic residents at 33%, compared to 16% in Mansfield.
- The percentage of residents identifying as two or more races is higher in Bay shore at 10%, compared to 9% in Mansfield.
- In Bay shore, the percentage of American Indian residents is higher at 2%, compared to 0% in Mansfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mansfield | Bay shore |
---|---|---|
Mental Health Not Good | 15.1% | 14.6% |
Physical Health Not Good | 9.5% | 9.7% |
Depression | 22.2% | 18.6% |
Smoking | 12.5% | 13.8% |
Binge Drinking | 18.4% | 15.3% |
Obesity | 31.9% | 32.0% |
Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Mansfield vs Bay shore
- More residents in Mansfield report poor mental health at 15.1% compared to 14.6% in Bay shore.
- Depression is more prevalent in Mansfield at 22.2% compared to 18.6% in Bay shore.
- Bay shore has a higher smoking rate at 13.8% compared to 12.5% in Mansfield.
- Binge drinking is more common in Mansfield at 18.4% compared to 15.3% in Bay shore.
- Bay shore has higher obesity rates at 32.0% compared to 31.9% in Mansfield.
- Disability percentages are the same in both Mansfield and Bay shore at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mansfield | Bay shore |
---|---|---|
No Schooling | 0.4% (302) | 1.7% (506) |
High School Diploma | 9.6% (7,338) | 14.9% (4,552) |
Less than High School | 5.5% (4,243) | 16.0% (4,885) |
Bachelor's Degree and Higher | 25.5% (19,574) | 21.1% (6,444) |
Education Levels Comparison: Mansfield vs Bay shore
- In Bay shore, a larger percentage of residents lack formal schooling at 1.7% compared to 0.4% in Mansfield.
- In Bay shore, the rate of residents with high school diplomas is higher at 14.9% compared to 9.6% in Mansfield.
- The percentage of residents with less than a high school education is higher in Bay shore at 16.0%, compared to 5.5% in Mansfield.
- A higher percentage of residents in Mansfield hold a bachelor's degree or higher at 25.5% compared to 21.1% in Bay shore.
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.