Demographics details for Columbia, MO vs Zanesville, OH
Population Overview
Compare main population characteristics in Columbia, MO vs Zanesville, OH.
| Data | Columbia | Zanesville |
|---|---|---|
| Population | 128,555 | 24,600 |
| Median Age | 28.8 years | 38.1 years |
| Median Income | $60,455 | $40,927 |
| Married Families | 32.0% | 25.0% |
| Poverty Level | 19% | 11% |
| Unemployment Rate | 3.8 | 6.0 |
Population Comparison: Columbia vs Zanesville
- In Columbia, the population is higher at 128,555, compared to 24,600 in Zanesville.
- The median age in Zanesville is higher at 38.1 years, compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455 compared to $40,927 in Zanesville.
- A higher percentage of married families is found in Columbia at 32.0% compared to 25.0% in Zanesville.
- Columbia has a higher poverty level at 19% compared to 11% in Zanesville.
- Zanesville has a higher unemployment rate at 6.0% compared to 3.8% in Columbia.
Demographics
Demographics Columbia vs Zanesville provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Zanesville |
|---|---|---|
| Black | 11 | 9 |
| White | 73 | 79 |
| Asian | 6 | 1 |
| Hispanic | 4 | 3 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Zanesville
- A higher percentage of Black residents are in Columbia at 11% compared to 9% in Zanesville.
- The percentage of White residents is higher in Zanesville at 79% compared to 73% in Columbia.
- The Asian population is larger in Columbia at 6% compared to 1% in Zanesville.
- The Hispanic community is larger in Columbia at 4% compared to 3% in Zanesville.
- The percentage of residents identifying as two or more races is higher in Zanesville at 8%, compared to 6% in Columbia.
- The percentage of American Indian residents is the same in both Columbia and Zanesville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Zanesville |
|---|---|---|
| Mental Health Not Good | 16.7% | 20.8% |
| Physical Health Not Good | 11.4% | 15.5% |
| Depression | 25.3% | 26.7% |
| Smoking | 16.3% | 25.8% |
| Binge Drinking | 17.7% | 16.6% |
| Obesity | 33.5% | 47.8% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Columbia vs Zanesville
- In Zanesville, a higher percentage report poor mental health at 20.8% compared to 16.7% in Columbia.
- Higher depression rates are seen in Zanesville at 26.7% versus 25.3% in Columbia.
- Zanesville has a higher smoking rate at 25.8% compared to 16.3% in Columbia.
- Binge drinking is more common in Columbia at 17.7% compared to 16.6% in Zanesville.
- Zanesville has higher obesity rates at 47.8% compared to 33.5% in Columbia.
- There is a higher percentage of disabled individuals in Zanesville at 19.0% 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 | Zanesville |
|---|---|---|
| No Schooling | 0.7% (845) | 1.6% (389) |
| High School Diploma | 7.8% (9,965) | 26.5% (6,510) |
| Less than High School | 4.2% (5,383) | 17.8% (4,373) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 9.0% (2,214) |
Education Levels Comparison: Columbia vs Zanesville
- In Zanesville, a larger percentage of residents lack formal schooling at 1.6% compared to 0.7% in Columbia.
- In Zanesville, the rate of residents with high school diplomas is higher at 26.5% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Zanesville at 17.8%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 9.0% in Zanesville.
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.