Demographics details for Columbiana, OH vs San clemente, CA
Population Overview
Compare main population characteristics in Columbiana, OH vs San clemente, CA.
Data | Columbiana | San clemente |
---|---|---|
Population | 100,511 | 63,457 |
Median Age | 44.5 years | 44.2 years |
Median Income | $55,473 | $134,730 |
Married Families | 40.0% | 49.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 5.8 | 3.8 |
Population Comparison: Columbiana vs San clemente
- In Columbiana, the population is higher at 100,511, compared to 63,457 in San clemente.
- Residents in Columbiana have a higher median age of 44.5 years compared to 44.2 years in San clemente.
- San clemente has a higher median income of $134,730, compared to $55,473 in Columbiana.
- In San clemente, the percentage of married families is higher at 49.0%, compared to 40.0% in Columbiana.
- Columbiana has a higher poverty level at 10% compared to 7% in San clemente.
- The unemployment rate in Columbiana is higher at 5.8%, compared to 3.8% in San clemente.
Demographics
Demographics Columbiana vs San clemente provide insight into the diversity of the communities to compare.
Demographic | Columbiana | San clemente |
---|---|---|
Black | 2 | 2 |
White | 93 | 64 |
Asian | Data is updating | 5 |
Hispanic | 2 | 17 |
Two or More Races | 3 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbiana vs San clemente
- The percentage of Black residents is the same in both Columbiana and San clemente at 2%.
- Columbiana has a higher percentage of White residents at 93% compared to 64% in San clemente.
- In San clemente, the Asian population stands at 5%, greater than 0% in Columbiana.
- San clemente has a higher percentage of Hispanic residents at 17%, compared to 2% in Columbiana.
- The percentage of residents identifying as two or more races is higher in San clemente at 12%, compared to 3% in Columbiana.
- The percentage of American Indian residents is the same in both Columbiana and San clemente at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbiana | San clemente |
---|---|---|
Mental Health Not Good | 18.4% | 14.2% |
Physical Health Not Good | 12.5% | 8.6% |
Depression | 23.8% | 18.9% |
Smoking | 22.5% | 8.9% |
Binge Drinking | 17.6% | 19.0% |
Obesity | 45.3% | 25.4% |
Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Columbiana vs San clemente
- More residents in Columbiana report poor mental health at 18.4% compared to 14.2% in San clemente.
- Depression is more prevalent in Columbiana at 23.8% compared to 18.9% in San clemente.
- Smoking is more prevalent in Columbiana at 22.5% compared to 8.9% in San clemente.
- More residents engage in binge drinking in San clemente at 19.0% compared to 17.6% in Columbiana.
- Obesity rates are higher in Columbiana at 45.3% compared to 25.4% in San clemente.
- Disability percentages are higher in Columbiana at 17.0% compared to 9.0% in San clemente.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbiana | San clemente |
---|---|---|
No Schooling | 1.0% (1,010) | 0.9% (574) |
High School Diploma | 29.8% (29,903) | 8.4% (5,352) |
Less than High School | 14.3% (14,400) | 7.8% (4,957) |
Bachelor's Degree and Higher | 12.1% (12,129) | 36.1% (22,911) |
Education Levels Comparison: Columbiana vs San clemente
- A higher percentage of residents in Columbiana have no formal schooling at 1.0% compared to 0.9% in San clemente.
- A higher percentage of residents in Columbiana hold a high school diploma at 29.8% compared to 8.4% in San clemente.
- More residents in Columbiana have less than a high school education at 14.3% compared to 7.8% in San clemente.
- In San clemente, a larger share of residents have a bachelor's degree or higher at 36.1% 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.