Demographics details for Columbiana, OH vs Paris, TN
Population Overview
Compare main population characteristics in Columbiana, OH vs Paris, TN.
| Data | Columbiana | Paris |
|---|---|---|
| Population | 100,511 | 10,339 |
| Median Age | 44.5 years | 39.4 years |
| Median Income | $55,473 | $39,378 |
| Married Families | 40.0% | 32.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 5.8 | 4.5 |
Population Comparison: Columbiana vs Paris
- In Columbiana, the population is higher at 100,511, compared to 10,339 in Paris.
- Residents in Columbiana have a higher median age of 44.5 years compared to 39.4 years in Paris.
- Columbiana has a higher median income of $55,473 compared to $39,378 in Paris.
- A higher percentage of married families is found in Columbiana at 40.0% compared to 32.0% in Paris.
- The poverty level is higher in Paris at 12%, compared to 10% in Columbiana.
- The unemployment rate in Columbiana is higher at 5.8%, compared to 4.5% in Paris.
Demographics
Demographics Columbiana vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Columbiana | Paris |
|---|---|---|
| Black | 2 | 18 |
| White | 93 | 74 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 3 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbiana vs Paris
- In Paris, the percentage of Black residents is higher at 18% compared to 2% in Columbiana.
- Columbiana has a higher percentage of White residents at 93% compared to 74% in Paris.
- Both Columbiana and Paris have the same percentage of Asian residents at 0%.
- Paris has a higher percentage of Hispanic residents at 3%, compared to 2% in Columbiana.
- The percentage of residents identifying as two or more races is higher in Paris at 5%, compared to 3% in Columbiana.
- The percentage of American Indian residents is the same in both Columbiana and Paris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbiana | Paris |
|---|---|---|
| Mental Health Not Good | 18.4% | 22.4% |
| Physical Health Not Good | 12.5% | 16.3% |
| Depression | 23.8% | 29.4% |
| Smoking | 22.5% | 28.0% |
| Binge Drinking | 17.6% | 13.8% |
| Obesity | 45.3% | 41.9% |
| Disability Percentage | 17.0% | 23.0% |
Health Statistics Comparison: Columbiana vs Paris
- In Paris, a higher percentage report poor mental health at 22.4% compared to 18.4% in Columbiana.
- Higher depression rates are seen in Paris at 29.4% versus 23.8% in Columbiana.
- Paris has a higher smoking rate at 28.0% compared to 22.5% in Columbiana.
- Binge drinking is more common in Columbiana at 17.6% compared to 13.8% in Paris.
- Obesity rates are higher in Columbiana at 45.3% compared to 41.9% in Paris.
- There is a higher percentage of disabled individuals in Paris at 23.0% compared to 17.0% in Columbiana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbiana | Paris |
|---|---|---|
| No Schooling | 1.0% (1,010) | 1.0% (104) |
| High School Diploma | 29.8% (29,903) | 25.5% (2,641) |
| Less than High School | 14.3% (14,400) | 18.7% (1,935) |
| Bachelor's Degree and Higher | 12.1% (12,129) | 13.7% (1,419) |
Education Levels Comparison: Columbiana vs Paris
- The percentage of residents with no formal schooling is the same in both Columbiana and Paris at 1.0%.
- A higher percentage of residents in Columbiana hold a high school diploma at 29.8% compared to 25.5% in Paris.
- The percentage of residents with less than a high school education is higher in Paris at 18.7%, compared to 14.3% in Columbiana.
- In Paris, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 12.1% in Columbiana.
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.