Demographics details for Columbiana, OH vs Woodland, PA
Population Overview
Compare main population characteristics in Columbiana, OH vs Woodland, PA.
Data | Columbiana | Woodland |
---|---|---|
Population | 100,511 | 185 |
Median Age | 44.5 years | 36.0 years |
Median Income | $55,473 | $55,000 |
Married Families | 40.0% | 30.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 5.8 | 5.0 |
Population Comparison: Columbiana vs Woodland
- In Columbiana, the population is higher at 100,511, compared to 185 in Woodland.
- Residents in Columbiana have a higher median age of 44.5 years compared to 36.0 years in Woodland.
- Columbiana has a higher median income of $55,473 compared to $55,000 in Woodland.
- A higher percentage of married families is found in Columbiana at 40.0% compared to 30.0% in Woodland.
- The poverty level is identical in both Columbiana and Woodland at 10%.
- The unemployment rate in Columbiana is higher at 5.8%, compared to 5.0% in Woodland.
Demographics
Demographics Columbiana vs Woodland provide insight into the diversity of the communities to compare.
Demographic | Columbiana | Woodland |
---|---|---|
Black | 2 | 3 |
White | 93 | 92 |
Asian | Data is updating | 2 |
Hispanic | 2 | 1 |
Two or More Races | 3 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbiana vs Woodland
- In Woodland, the percentage of Black residents is higher at 3% compared to 2% in Columbiana.
- Columbiana has a higher percentage of White residents at 93% compared to 92% in Woodland.
- In Woodland, the Asian population stands at 2%, greater than 0% in Columbiana.
- The Hispanic community is larger in Columbiana at 2% compared to 1% in Woodland.
- More residents identify as two or more races in Columbiana at 3% compared to 2% in Woodland.
- The percentage of American Indian residents is the same in both Columbiana and Woodland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbiana | Woodland |
---|---|---|
Mental Health Not Good | 18.4% | Data is updating% |
Physical Health Not Good | 12.5% | Data is updating% |
Depression | 23.8% | Data is updating% |
Smoking | 22.5% | Data is updating% |
Binge Drinking | 17.6% | Data is updating% |
Obesity | 45.3% | Data is updating% |
Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Columbiana vs Woodland
- More residents in Columbiana report poor mental health at 18.4% compared to 0.0% in Woodland.
- Depression is more prevalent in Columbiana at 23.8% compared to 0.0% in Woodland.
- Smoking is more prevalent in Columbiana at 22.5% compared to 0.0% in Woodland.
- Binge drinking is more common in Columbiana at 17.6% compared to 0.0% in Woodland.
- Obesity rates are higher in Columbiana at 45.3% compared to 0.0% in Woodland.
- Disability percentages are higher in Columbiana at 17.0% compared to 0.0% in Woodland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbiana | Woodland |
---|---|---|
No Schooling | 1.0% (1,010) | 0.0% (Data is updating) |
High School Diploma | 29.8% (29,903) | 0.0% (Data is updating) |
Less than High School | 14.3% (14,400) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.1% (12,129) | 0.0% (Data is updating) |
Education Levels Comparison: Columbiana vs Woodland
- A higher percentage of residents in Columbiana have no formal schooling at 1.0% compared to 0.0% in Woodland.
- A higher percentage of residents in Columbiana hold a high school diploma at 29.8% compared to 0.0% in Woodland.
- More residents in Columbiana have less than a high school education at 14.3% compared to 0.0% in Woodland.
- A higher percentage of residents in Columbiana hold a bachelor's degree or higher at 12.1% compared to 0.0% in Woodland.
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.