Demographics details for Christiansburg, OH vs Duluth, MN
Population Overview
Compare main population characteristics in Christiansburg, OH vs Duluth, MN.
| Data | Christiansburg | Duluth |
|---|---|---|
| Population | 501 | 86,619 |
| Median Age | 34.5 years | 34.7 years |
| Median Income | $72,375 | $63,545 |
| Married Families | 38.0% | 33.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Christiansburg vs Duluth
- The population in Duluth is higher at 86,619, compared to 501 in Christiansburg.
- The median age in Duluth is higher at 34.7 years, compared to 34.5 years in Christiansburg.
- Christiansburg has a higher median income of $72,375 compared to $63,545 in Duluth.
- A higher percentage of married families is found in Christiansburg at 38.0% compared to 33.0% in Duluth.
- The poverty level is higher in Duluth at 12%, compared to 8% in Christiansburg.
- The unemployment rate in Christiansburg is higher at 4.5%, compared to 3.7% in Duluth.
Demographics
Demographics Christiansburg vs Duluth provide insight into the diversity of the communities to compare.
| Demographic | Christiansburg | Duluth |
|---|---|---|
| Black | 1 | 3 |
| White | 95 | 85 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Christiansburg vs Duluth
- In Duluth, the percentage of Black residents is higher at 3% compared to 1% in Christiansburg.
- Christiansburg has a higher percentage of White residents at 95% compared to 85% in Duluth.
- In Duluth, the Asian population stands at 2%, greater than 0% in Christiansburg.
- Duluth has a higher percentage of Hispanic residents at 3%, compared to 0% in Christiansburg.
- The percentage of residents identifying as two or more races is higher in Duluth at 5%, compared to 4% in Christiansburg.
- In Duluth, the percentage of American Indian residents is higher at 2%, compared to 0% in Christiansburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Christiansburg | Duluth |
|---|---|---|
| Mental Health Not Good | 17.6% | 16.7% |
| Physical Health Not Good | 11.7% | 9.9% |
| Depression | 24.5% | 24.1% |
| Smoking | 21.0% | 19.0% |
| Binge Drinking | 18.8% | 20.2% |
| Obesity | 39.9% | 35.2% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Christiansburg vs Duluth
- More residents in Christiansburg report poor mental health at 17.6% compared to 16.7% in Duluth.
- Depression is more prevalent in Christiansburg at 24.5% compared to 24.1% in Duluth.
- Smoking is more prevalent in Christiansburg at 21.0% compared to 19.0% in Duluth.
- More residents engage in binge drinking in Duluth at 20.2% compared to 18.8% in Christiansburg.
- Obesity rates are higher in Christiansburg at 39.9% compared to 35.2% in Duluth.
- Disability percentages are higher in Christiansburg at 18.0% compared to 13.0% in Duluth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Christiansburg | Duluth |
|---|---|---|
| No Schooling | 0.4% (2) | 0.4% (325) |
| High School Diploma | 29.7% (149) | 11.0% (9,564) |
| Less than High School | 11.6% (58) | 5.5% (4,734) |
| Bachelor's Degree and Higher | 7.8% (39) | 26.0% (22,522) |
Education Levels Comparison: Christiansburg vs Duluth
- The percentage of residents with no formal schooling is the same in both Christiansburg and Duluth at 0.4%.
- A higher percentage of residents in Christiansburg hold a high school diploma at 29.7% compared to 11.0% in Duluth.
- More residents in Christiansburg have less than a high school education at 11.6% compared to 5.5% in Duluth.
- In Duluth, a larger share of residents have a bachelor's degree or higher at 26.0% 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.