Demographics details for Sugar grove, PA vs Wyandotte, MI
Population Overview
Compare main population characteristics in Sugar grove, PA vs Wyandotte, MI.
| Data | Sugar grove | Wyandotte |
|---|---|---|
| Population | 546 | 24,503 |
| Median Age | 42.2 years | 39.6 years |
| Median Income | $68,056 | $62,111 |
| Married Families | 53.0% | 35.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Sugar grove vs Wyandotte
- The population in Wyandotte is higher at 24,503, compared to 546 in Sugar grove.
- Residents in Sugar grove have a higher median age of 42.2 years compared to 39.6 years in Wyandotte.
- Sugar grove has a higher median income of $68,056 compared to $62,111 in Wyandotte.
- A higher percentage of married families is found in Sugar grove at 53.0% compared to 35.0% in Wyandotte.
- The poverty level is higher in Wyandotte at 10%, compared to 8% in Sugar grove.
- The unemployment rate is the same in both Sugar grove and Wyandotte at 4.2%.
Demographics
Demographics Sugar grove vs Wyandotte provide insight into the diversity of the communities to compare.
| Demographic | Sugar grove | Wyandotte |
|---|---|---|
| Black | 1 | 2 |
| White | 79 | 85 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 7 |
| Two or More Races | 14 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sugar grove vs Wyandotte
- In Wyandotte, the percentage of Black residents is higher at 2% compared to 1% in Sugar grove.
- The percentage of White residents is higher in Wyandotte at 85% compared to 79% in Sugar grove.
- In Wyandotte, the Asian population stands at 1%, greater than 0% in Sugar grove.
- Wyandotte has a higher percentage of Hispanic residents at 7%, compared to 6% in Sugar grove.
- More residents identify as two or more races in Sugar grove at 14% compared to 5% in Wyandotte.
- The percentage of American Indian residents is the same in both Sugar grove and Wyandotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sugar grove | Wyandotte |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.6% |
| Physical Health Not Good | 13.2% | 11.5% |
| Depression | 23.5% | 25.3% |
| Smoking | 22.8% | 20.8% |
| Binge Drinking | 18.2% | 19.5% |
| Obesity | 38.8% | 32.1% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Sugar grove vs Wyandotte
- More residents in Sugar grove report poor mental health at 18.3% compared to 17.6% in Wyandotte.
- Higher depression rates are seen in Wyandotte at 25.3% versus 23.5% in Sugar grove.
- Smoking is more prevalent in Sugar grove at 22.8% compared to 20.8% in Wyandotte.
- More residents engage in binge drinking in Wyandotte at 19.5% compared to 18.2% in Sugar grove.
- Obesity rates are higher in Sugar grove at 38.8% compared to 32.1% in Wyandotte.
- There is a higher percentage of disabled individuals in Wyandotte at 16.0% compared to 10.0% in Sugar grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sugar grove | Wyandotte |
|---|---|---|
| No Schooling | 1.5% (8) | 1.1% (280) |
| High School Diploma | 28.2% (154) | 21.6% (5,291) |
| Less than High School | 6.2% (34) | 12.0% (2,952) |
| Bachelor's Degree and Higher | 13.0% (71) | 16.2% (3,980) |
Education Levels Comparison: Sugar grove vs Wyandotte
- A higher percentage of residents in Sugar grove have no formal schooling at 1.5% compared to 1.1% in Wyandotte.
- A higher percentage of residents in Sugar grove hold a high school diploma at 28.2% compared to 21.6% in Wyandotte.
- The percentage of residents with less than a high school education is higher in Wyandotte at 12.0%, compared to 6.2% in Sugar grove.
- In Wyandotte, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 13.0% in Sugar grove.
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.