Demographics details for Wyandotte, MI vs Christiansburg, OH
Population Overview
Compare main population characteristics in Wyandotte, MI vs Christiansburg, OH.
Data | Wyandotte | Christiansburg |
---|---|---|
Population | 24,503 | 501 |
Median Age | 39.6 years | 34.5 years |
Median Income | $62,111 | $72,375 |
Married Families | 35.0% | 38.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Wyandotte vs Christiansburg
- In Wyandotte, the population is higher at 24,503, compared to 501 in Christiansburg.
- Residents in Wyandotte have a higher median age of 39.6 years compared to 34.5 years in Christiansburg.
- Christiansburg has a higher median income of $72,375, compared to $62,111 in Wyandotte.
- In Christiansburg, the percentage of married families is higher at 38.0%, compared to 35.0% in Wyandotte.
- Wyandotte has a higher poverty level at 10% compared to 8% in Christiansburg.
- Christiansburg has a higher unemployment rate at 4.5% compared to 4.2% in Wyandotte.
Demographics
Demographics Wyandotte vs Christiansburg provide insight into the diversity of the communities to compare.
Demographic | Wyandotte | Christiansburg |
---|---|---|
Black | 2 | 1 |
White | 85 | 95 |
Asian | 1 | Data is updating |
Hispanic | 7 | Data is updating |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wyandotte vs Christiansburg
- A higher percentage of Black residents are in Wyandotte at 2% compared to 1% in Christiansburg.
- The percentage of White residents is higher in Christiansburg at 95% compared to 85% in Wyandotte.
- The Asian population is larger in Wyandotte at 1% compared to 0% in Christiansburg.
- The Hispanic community is larger in Wyandotte at 7% compared to 0% in Christiansburg.
- More residents identify as two or more races in Wyandotte at 5% compared to 4% in Christiansburg.
- The percentage of American Indian residents is the same in both Wyandotte and Christiansburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wyandotte | Christiansburg |
---|---|---|
Mental Health Not Good | 17.6% | 17.6% |
Physical Health Not Good | 11.5% | 11.7% |
Depression | 25.3% | 24.5% |
Smoking | 20.8% | 21.0% |
Binge Drinking | 19.5% | 18.8% |
Obesity | 32.1% | 39.9% |
Disability Percentage | 16.0% | 18.0% |
Health Statistics Comparison: Wyandotte vs Christiansburg
- Poor mental health levels are equal in both Wyandotte and Christiansburg at 17.6%.
- Depression is more prevalent in Wyandotte at 25.3% compared to 24.5% in Christiansburg.
- Christiansburg has a higher smoking rate at 21.0% compared to 20.8% in Wyandotte.
- Binge drinking is more common in Wyandotte at 19.5% compared to 18.8% in Christiansburg.
- Christiansburg has higher obesity rates at 39.9% compared to 32.1% in Wyandotte.
- There is a higher percentage of disabled individuals in Christiansburg at 18.0% compared to 16.0% in Wyandotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wyandotte | Christiansburg |
---|---|---|
No Schooling | 1.1% (280) | 0.4% (2) |
High School Diploma | 21.6% (5,291) | 29.7% (149) |
Less than High School | 12.0% (2,952) | 11.6% (58) |
Bachelor's Degree and Higher | 16.2% (3,980) | 7.8% (39) |
Education Levels Comparison: Wyandotte vs Christiansburg
- A higher percentage of residents in Wyandotte have no formal schooling at 1.1% compared to 0.4% in Christiansburg.
- In Christiansburg, the rate of residents with high school diplomas is higher at 29.7% compared to 21.6% in Wyandotte.
- More residents in Wyandotte have less than a high school education at 12.0% compared to 11.6% in Christiansburg.
- A higher percentage of residents in Wyandotte hold a bachelor's degree or higher at 16.2% compared to 7.8% in Christiansburg.
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.