Demographics details for Marshall, CA vs Columbiana, OH
Population Overview
Compare main population characteristics in Marshall, CA vs Columbiana, OH.
| Data | Marshall | Columbiana |
|---|---|---|
| Population | 533 | 100,511 |
| Median Age | 42.0 years | 44.5 years |
| Median Income | $90,000 | $55,473 |
| Married Families | 60.0% | 40.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.0 | 5.8 |
Population Comparison: Marshall vs Columbiana
- The population in Columbiana is higher at 100,511, compared to 533 in Marshall.
- The median age in Columbiana is higher at 44.5 years, compared to 42.0 years in Marshall.
- Marshall has a higher median income of $90,000 compared to $55,473 in Columbiana.
- A higher percentage of married families is found in Marshall at 60.0% compared to 40.0% in Columbiana.
- The poverty level is higher in Columbiana at 10%, compared to 5% in Marshall.
- Columbiana has a higher unemployment rate at 5.8% compared to 3.0% in Marshall.
Demographics
Demographics Marshall vs Columbiana provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Columbiana |
|---|---|---|
| Black | Data is updating | 2 |
| White | 90 | 93 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Columbiana
- In Columbiana, the percentage of Black residents is higher at 2% compared to 0% in Marshall.
- The percentage of White residents is higher in Columbiana at 93% compared to 90% in Marshall.
- The Asian population is larger in Marshall at 2% compared to 0% in Columbiana.
- The Hispanic community is larger in Marshall at 5% compared to 2% in Columbiana.
- Both Marshall and Columbiana have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Marshall and Columbiana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Columbiana |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.4% |
| Physical Health Not Good | Data is updating% | 12.5% |
| Depression | Data is updating% | 23.8% |
| Smoking | Data is updating% | 22.5% |
| Binge Drinking | Data is updating% | 17.6% |
| Obesity | Data is updating% | 45.3% |
| Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Marshall vs Columbiana
- In Columbiana, a higher percentage report poor mental health at 18.4% compared to 0.0% in Marshall.
- Higher depression rates are seen in Columbiana at 23.8% versus 0.0% in Marshall.
- Columbiana has a higher smoking rate at 22.5% compared to 0.0% in Marshall.
- More residents engage in binge drinking in Columbiana at 17.6% compared to 0.0% in Marshall.
- Columbiana has higher obesity rates at 45.3% compared to 0.0% in Marshall.
- There is a higher percentage of disabled individuals in Columbiana at 17.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Columbiana |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (1,010) |
| High School Diploma | 0.0% (Data is updating) | 29.8% (29,903) |
| Less than High School | 0.0% (Data is updating) | 14.3% (14,400) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.1% (12,129) |
Education Levels Comparison: Marshall vs Columbiana
- In Columbiana, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Marshall.
- In Columbiana, the rate of residents with high school diplomas is higher at 29.8% compared to 0.0% in Marshall.
- The percentage of residents with less than a high school education is higher in Columbiana at 14.3%, compared to 0.0% in Marshall.
- In Columbiana, a larger share of residents have a bachelor's degree or higher at 12.1% compared to 0.0% in Marshall.
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.