Demographics details for Columbia, SC vs Marysville, KS
Population Overview
Compare main population characteristics in Columbia, SC vs Marysville, KS.
| Data | Columbia | Marysville |
|---|---|---|
| Population | 139,698 | 3,423 |
| Median Age | 28.3 years | 38.8 years |
| Median Income | $54,095 | $53,424 |
| Married Families | 25.0% | 38.0% |
| Poverty Level | 17% | Data is updating |
| Unemployment Rate | 5.8 | 3.5 |
Population Comparison: Columbia vs Marysville
- In Columbia, the population is higher at 139,698, compared to 3,423 in Marysville.
- The median age in Marysville is higher at 38.8 years, compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095 compared to $53,424 in Marysville.
- In Marysville, the percentage of married families is higher at 38.0%, compared to 25.0% in Columbia.
- Columbia has a higher poverty level at 17% compared to 0% in Marysville.
- The unemployment rate in Columbia is higher at 5.8%, compared to 3.5% in Marysville.
Demographics
Demographics Columbia vs Marysville provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Marysville |
|---|---|---|
| Black | 40 | 2 |
| White | 48 | 86 |
| Asian | 2 | 1 |
| Hispanic | 5 | 5 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Marysville
- A higher percentage of Black residents are in Columbia at 40% compared to 2% in Marysville.
- The percentage of White residents is higher in Marysville at 86% compared to 48% in Columbia.
- The Asian population is larger in Columbia at 2% compared to 1% in Marysville.
- The percentage of Hispanic residents is the same in both Columbia and Marysville at 5%.
- The percentage of residents identifying as two or more races is higher in Marysville at 6%, compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Marysville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Marysville |
|---|---|---|
| Mental Health Not Good | 18.6% | 16.7% |
| Physical Health Not Good | 13.1% | 11.0% |
| Depression | 20.8% | 20.6% |
| Smoking | 19.1% | 19.9% |
| Binge Drinking | 18.1% | 20.1% |
| Obesity | 39.0% | 40.6% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Columbia vs Marysville
- More residents in Columbia report poor mental health at 18.6% compared to 16.7% in Marysville.
- Depression is more prevalent in Columbia at 20.8% compared to 20.6% in Marysville.
- Marysville has a higher smoking rate at 19.9% compared to 19.1% in Columbia.
- More residents engage in binge drinking in Marysville at 20.1% compared to 18.1% in Columbia.
- Marysville has higher obesity rates at 40.6% compared to 39.0% in Columbia.
- There is a higher percentage of disabled individuals in Marysville at 16.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Marysville |
|---|---|---|
| No Schooling | 0.4% (555) | 0.2% (8) |
| High School Diploma | 8.4% (11,712) | 20.5% (701) |
| Less than High School | 5.9% (8,257) | 12.0% (410) |
| Bachelor's Degree and Higher | 24.7% (34,575) | 19.7% (674) |
Education Levels Comparison: Columbia vs Marysville
- A higher percentage of residents in Columbia have no formal schooling at 0.4% compared to 0.2% in Marysville.
- In Marysville, the rate of residents with high school diplomas is higher at 20.5% compared to 8.4% in Columbia.
- The percentage of residents with less than a high school education is higher in Marysville at 12.0%, compared to 5.9% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% compared to 19.7% in Marysville.
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.