Demographics details for West babylon, NY vs Taylor, MI
Population Overview
Compare main population characteristics in West babylon, NY vs Taylor, MI.
| Data | West babylon | Taylor |
|---|---|---|
| Population | 42,783 | 62,258 |
| Median Age | 43.1 years | 37.9 years |
| Median Income | $121,266 | $59,352 |
| Married Families | 38.0% | 33.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 4.5 | 6.2 |
Population Comparison: West babylon vs Taylor
- The population in Taylor is higher at 62,258, compared to 42,783 in West babylon.
- Residents in West babylon have a higher median age of 43.1 years compared to 37.9 years in Taylor.
- West babylon has a higher median income of $121,266 compared to $59,352 in Taylor.
- A higher percentage of married families is found in West babylon at 38.0% compared to 33.0% in Taylor.
- The poverty level is higher in Taylor at 12%, compared to 0% in West babylon.
- Taylor has a higher unemployment rate at 6.2% compared to 4.5% in West babylon.
Demographics
Demographics West babylon vs Taylor provide insight into the diversity of the communities to compare.
| Demographic | West babylon | Taylor |
|---|---|---|
| Black | 13 | 21 |
| White | 62 | 63 |
| Asian | 2 | 1 |
| Hispanic | 17 | 8 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: West babylon vs Taylor
- In Taylor, the percentage of Black residents is higher at 21% compared to 13% in West babylon.
- The percentage of White residents is higher in Taylor at 63% compared to 62% in West babylon.
- The Asian population is larger in West babylon at 2% compared to 1% in Taylor.
- The Hispanic community is larger in West babylon at 17% compared to 8% in Taylor.
- The percentage of residents identifying as two or more races is higher in Taylor at 7%, compared to 6% in West babylon.
- The percentage of American Indian residents is the same in both West babylon and Taylor at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West babylon | Taylor |
|---|---|---|
| Mental Health Not Good | 14.8% | 18.7% |
| Physical Health Not Good | 9.0% | 12.7% |
| Depression | 19.8% | 25.0% |
| Smoking | 14.0% | 23.8% |
| Binge Drinking | 16.7% | 18.0% |
| Obesity | 30.1% | 34.4% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: West babylon vs Taylor
- In Taylor, a higher percentage report poor mental health at 18.7% compared to 14.8% in West babylon.
- Higher depression rates are seen in Taylor at 25.0% versus 19.8% in West babylon.
- Taylor has a higher smoking rate at 23.8% compared to 14.0% in West babylon.
- More residents engage in binge drinking in Taylor at 18.0% compared to 16.7% in West babylon.
- Taylor has higher obesity rates at 34.4% compared to 30.1% in West babylon.
- There is a higher percentage of disabled individuals in Taylor at 15.0% compared to 10.0% in West babylon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West babylon | Taylor |
|---|---|---|
| No Schooling | 2.9% (1,245) | 1.0% (629) |
| High School Diploma | 21.2% (9,083) | 22.8% (14,189) |
| Less than High School | 13.8% (5,912) | 17.2% (10,693) |
| Bachelor's Degree and Higher | 22.7% (9,691) | 10.6% (6,622) |
Education Levels Comparison: West babylon vs Taylor
- A higher percentage of residents in West babylon have no formal schooling at 2.9% compared to 1.0% in Taylor.
- In Taylor, the rate of residents with high school diplomas is higher at 22.8% compared to 21.2% in West babylon.
- The percentage of residents with less than a high school education is higher in Taylor at 17.2%, compared to 13.8% in West babylon.
- A higher percentage of residents in West babylon hold a bachelor's degree or higher at 22.7% compared to 10.6% in Taylor.
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.