Demographics details for Marysville, KS vs Cornelia, GA
Population Overview
Compare main population characteristics in Marysville, KS vs Cornelia, GA.
| Data | Marysville | Cornelia |
|---|---|---|
| Population | 3,423 | 5,004 |
| Median Age | 38.8 years | 30.4 years |
| Median Income | $53,424 | $46,211 |
| Married Families | 38.0% | 32.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Marysville vs Cornelia
- The population in Cornelia is higher at 5,004, compared to 3,423 in Marysville.
- Residents in Marysville have a higher median age of 38.8 years compared to 30.4 years in Cornelia.
- Marysville has a higher median income of $53,424 compared to $46,211 in Cornelia.
- A higher percentage of married families is found in Marysville at 38.0% compared to 32.0% in Cornelia.
- The poverty level is higher in Cornelia at 12%, compared to 0% in Marysville.
- The unemployment rate is the same in both Marysville and Cornelia at 3.5%.
Demographics
Demographics Marysville vs Cornelia provide insight into the diversity of the communities to compare.
| Demographic | Marysville | Cornelia |
|---|---|---|
| Black | 2 | 9 |
| White | 86 | 43 |
| Asian | 1 | 3 |
| Hispanic | 5 | 32 |
| Two or More Races | 6 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marysville vs Cornelia
- In Cornelia, the percentage of Black residents is higher at 9% compared to 2% in Marysville.
- Marysville has a higher percentage of White residents at 86% compared to 43% in Cornelia.
- In Cornelia, the Asian population stands at 3%, greater than 1% in Marysville.
- Cornelia has a higher percentage of Hispanic residents at 32%, compared to 5% in Marysville.
- The percentage of residents identifying as two or more races is higher in Cornelia at 13%, compared to 6% in Marysville.
- The percentage of American Indian residents is the same in both Marysville and Cornelia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marysville | Cornelia |
|---|---|---|
| Mental Health Not Good | 16.7% | 18.2% |
| Physical Health Not Good | 11.0% | 14.7% |
| Depression | 20.6% | 22.4% |
| Smoking | 19.9% | 20.2% |
| Binge Drinking | 20.1% | 14.4% |
| Obesity | 40.6% | 34.6% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Marysville vs Cornelia
- In Cornelia, a higher percentage report poor mental health at 18.2% compared to 16.7% in Marysville.
- Higher depression rates are seen in Cornelia at 22.4% versus 20.6% in Marysville.
- Cornelia has a higher smoking rate at 20.2% compared to 19.9% in Marysville.
- Binge drinking is more common in Marysville at 20.1% compared to 14.4% in Cornelia.
- Obesity rates are higher in Marysville at 40.6% compared to 34.6% in Cornelia.
- Disability percentages are higher in Marysville at 16.0% compared to 13.0% in Cornelia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marysville | Cornelia |
|---|---|---|
| No Schooling | 0.2% (8) | 3.6% (179) |
| High School Diploma | 20.5% (701) | 9.5% (473) |
| Less than High School | 12.0% (410) | 35.8% (1,790) |
| Bachelor's Degree and Higher | 19.7% (674) | 12.5% (625) |
Education Levels Comparison: Marysville vs Cornelia
- In Cornelia, a larger percentage of residents lack formal schooling at 3.6% compared to 0.2% in Marysville.
- A higher percentage of residents in Marysville hold a high school diploma at 20.5% compared to 9.5% in Cornelia.
- The percentage of residents with less than a high school education is higher in Cornelia at 35.8%, compared to 12.0% in Marysville.
- A higher percentage of residents in Marysville hold a bachelor's degree or higher at 19.7% compared to 12.5% in Cornelia.
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.