Demographics details for Richmond, VA vs Columbiana, OH
Population Overview
Compare main population characteristics in Richmond, VA vs Columbiana, OH.
| Data | Richmond | Columbiana |
|---|---|---|
| Population | 229,395 | 100,511 |
| Median Age | 34.5 years | 44.5 years |
| Median Income | $59,606 | $55,473 |
| Married Families | 25.0% | 40.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 3.5 | 5.8 |
Population Comparison: Richmond vs Columbiana
- In Richmond, the population is higher at 229,395, compared to 100,511 in Columbiana.
- The median age in Columbiana is higher at 44.5 years, compared to 34.5 years in Richmond.
- Richmond has a higher median income of $59,606 compared to $55,473 in Columbiana.
- In Columbiana, the percentage of married families is higher at 40.0%, compared to 25.0% in Richmond.
- Richmond has a higher poverty level at 14% compared to 10% in Columbiana.
- Columbiana has a higher unemployment rate at 5.8% compared to 3.5% in Richmond.
Demographics
Demographics Richmond vs Columbiana provide insight into the diversity of the communities to compare.
| Demographic | Richmond | Columbiana |
|---|---|---|
| Black | 44 | 2 |
| White | 40 | 93 |
| Asian | 2 | Data is updating |
| Hispanic | 8 | 2 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Richmond vs Columbiana
- A higher percentage of Black residents are in Richmond at 44% compared to 2% in Columbiana.
- The percentage of White residents is higher in Columbiana at 93% compared to 40% in Richmond.
- The Asian population is larger in Richmond at 2% compared to 0% in Columbiana.
- The Hispanic community is larger in Richmond at 8% compared to 2% in Columbiana.
- More residents identify as two or more races in Richmond at 6% compared to 3% in Columbiana.
- The percentage of American Indian residents is the same in both Richmond and Columbiana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richmond | Columbiana |
|---|---|---|
| Mental Health Not Good | 18.8% | 18.4% |
| Physical Health Not Good | 12.3% | 12.5% |
| Depression | 21.4% | 23.8% |
| Smoking | 18.3% | 22.5% |
| Binge Drinking | 18.6% | 17.6% |
| Obesity | 34.4% | 45.3% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Richmond vs Columbiana
- More residents in Richmond report poor mental health at 18.8% compared to 18.4% in Columbiana.
- Higher depression rates are seen in Columbiana at 23.8% versus 21.4% in Richmond.
- Columbiana has a higher smoking rate at 22.5% compared to 18.3% in Richmond.
- Binge drinking is more common in Richmond at 18.6% compared to 17.6% in Columbiana.
- Columbiana has higher obesity rates at 45.3% compared to 34.4% in Richmond.
- There is a higher percentage of disabled individuals in Columbiana at 17.0% compared to 14.0% in Richmond.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Richmond | Columbiana |
|---|---|---|
| No Schooling | 0.8% (1,793) | 1.0% (1,010) |
| High School Diploma | 11.6% (26,718) | 29.8% (29,903) |
| Less than High School | 10.4% (23,891) | 14.3% (14,400) |
| Bachelor's Degree and Higher | 31.0% (70,999) | 12.1% (12,129) |
Education Levels Comparison: Richmond vs Columbiana
- In Columbiana, a larger percentage of residents lack formal schooling at 1.0% compared to 0.8% in Richmond.
- In Columbiana, the rate of residents with high school diplomas is higher at 29.8% compared to 11.6% in Richmond.
- The percentage of residents with less than a high school education is higher in Columbiana at 14.3%, compared to 10.4% in Richmond.
- A higher percentage of residents in Richmond hold a bachelor's degree or higher at 31.0% 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.