Demographics details for Bay port, MI vs League city, TX
Population Overview
Compare main population characteristics in Bay port, MI vs League city, TX.
| Data | Bay port | League city |
|---|---|---|
| Population | 591 | 115,418 |
| Median Age | 37.7 years | 37.1 years |
| Median Income | $45,893 | $117,316 |
| Married Families | 33.0% | 48.0% |
| Poverty Level | 6% | 6% |
| Unemployment Rate | 4.5 | 3.8 |
Population Comparison: Bay port vs League city
- The population in League city is higher at 115,418, compared to 591 in Bay port.
- Residents in Bay port have a higher median age of 37.7 years compared to 37.1 years in League city.
- League city has a higher median income of $117,316, compared to $45,893 in Bay port.
- In League city, the percentage of married families is higher at 48.0%, compared to 33.0% in Bay port.
- The poverty level is identical in both Bay port and League city at 6%.
- The unemployment rate in Bay port is higher at 4.5%, compared to 3.8% in League city.
Demographics
Demographics Bay port vs League city provide insight into the diversity of the communities to compare.
| Demographic | Bay port | League city |
|---|---|---|
| Black | Data is updating | 8 |
| White | 94 | 57 |
| Asian | 4 | 6 |
| Hispanic | 1 | 19 |
| Two or More Races | 1 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bay port vs League city
- In League city, the percentage of Black residents is higher at 8% compared to 0% in Bay port.
- Bay port has a higher percentage of White residents at 94% compared to 57% in League city.
- In League city, the Asian population stands at 6%, greater than 4% in Bay port.
- League city has a higher percentage of Hispanic residents at 19%, compared to 1% in Bay port.
- The percentage of residents identifying as two or more races is higher in League city at 10%, compared to 1% in Bay port.
- The percentage of American Indian residents is the same in both Bay port and League city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bay port | League city |
|---|---|---|
| Mental Health Not Good | 17.9% | 14.1% |
| Physical Health Not Good | 12.0% | 8.6% |
| Depression | 25.3% | 21.0% |
| Smoking | 20.8% | 11.2% |
| Binge Drinking | 19.2% | 19.5% |
| Obesity | 38.9% | 30.4% |
| Disability Percentage | 26.0% | 9.0% |
Health Statistics Comparison: Bay port vs League city
- More residents in Bay port report poor mental health at 17.9% compared to 14.1% in League city.
- Depression is more prevalent in Bay port at 25.3% compared to 21.0% in League city.
- Smoking is more prevalent in Bay port at 20.8% compared to 11.2% in League city.
- More residents engage in binge drinking in League city at 19.5% compared to 19.2% in Bay port.
- Obesity rates are higher in Bay port at 38.9% compared to 30.4% in League city.
- Disability percentages are higher in Bay port at 26.0% 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 | Bay port | League city |
|---|---|---|
| No Schooling | 0.5% (3) | 0.5% (597) |
| High School Diploma | 28.1% (166) | 8.9% (10,242) |
| Less than High School | 9.6% (57) | 4.9% (5,692) |
| Bachelor's Degree and Higher | 6.3% (37) | 31.5% (36,360) |
Education Levels Comparison: Bay port vs League city
- The percentage of residents with no formal schooling is the same in both Bay port and League city at 0.5%.
- A higher percentage of residents in Bay port hold a high school diploma at 28.1% compared to 8.9% in League city.
- More residents in Bay port have less than a high school education at 9.6% compared to 4.9% in League city.
- In League city, a larger share of residents have a bachelor's degree or higher at 31.5% compared to 6.3% in Bay port.
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.