Demographics details for Big bear lake, CA vs Salem, OH
Population Overview
Compare main population characteristics in Big bear lake, CA vs Salem, OH.
Data | Big bear lake | Salem |
---|---|---|
Population | 5,031 | 11,729 |
Median Age | 47.5 years | 41.3 years |
Median Income | $70,020 | $45,380 |
Married Families | 42.0% | 31.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 5.0 | 5.0 |
Population Comparison: Big bear lake vs Salem
- The population in Salem is higher at 11,729, compared to 5,031 in Big bear lake.
- Residents in Big bear lake have a higher median age of 47.5 years compared to 41.3 years in Salem.
- Big bear lake has a higher median income of $70,020 compared to $45,380 in Salem.
- A higher percentage of married families is found in Big bear lake at 42.0% compared to 31.0% in Salem.
- The poverty level is identical in both Big bear lake and Salem at 10%.
- The unemployment rate is the same in both Big bear lake and Salem at 5.0%.
Demographics
Demographics Big bear lake vs Salem provide insight into the diversity of the communities to compare.
Demographic | Big bear lake | Salem |
---|---|---|
Black | Data is updating | 1 |
White | 50 | 97 |
Asian | 3 | Data is updating |
Hispanic | 30 | Data is updating |
Two or More Races | 16 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Big bear lake vs Salem
- In Salem, the percentage of Black residents is higher at 1% compared to 0% in Big bear lake.
- The percentage of White residents is higher in Salem at 97% compared to 50% in Big bear lake.
- The Asian population is larger in Big bear lake at 3% compared to 0% in Salem.
- The Hispanic community is larger in Big bear lake at 30% compared to 0% in Salem.
- More residents identify as two or more races in Big bear lake at 16% compared to 2% in Salem.
- A greater percentage of American Indian residents live in Big bear lake at 1% compared to 0% in Salem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Big bear lake | Salem |
---|---|---|
Mental Health Not Good | 17.4% | 19.0% |
Physical Health Not Good | 12.1% | 13.0% |
Depression | 20.5% | 24.7% |
Smoking | 14.1% | 23.1% |
Binge Drinking | 17.0% | 17.1% |
Obesity | 37.0% | 45.4% |
Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Big bear lake vs Salem
- In Salem, a higher percentage report poor mental health at 19.0% compared to 17.4% in Big bear lake.
- Higher depression rates are seen in Salem at 24.7% versus 20.5% in Big bear lake.
- Salem has a higher smoking rate at 23.1% compared to 14.1% in Big bear lake.
- More residents engage in binge drinking in Salem at 17.1% compared to 17.0% in Big bear lake.
- Salem has higher obesity rates at 45.4% compared to 37.0% in Big bear lake.
- There is a higher percentage of disabled individuals in Salem at 19.0% compared to 9.0% in Big bear lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Big bear lake | Salem |
---|---|---|
No Schooling | 0.7% (37) | 1.2% (142) |
High School Diploma | 16.4% (825) | 27.3% (3,203) |
Less than High School | 12.6% (634) | 18.0% (2,117) |
Bachelor's Degree and Higher | 25.7% (1,294) | 13.8% (1,615) |
Education Levels Comparison: Big bear lake vs Salem
- In Salem, a larger percentage of residents lack formal schooling at 1.2% compared to 0.7% in Big bear lake.
- In Salem, the rate of residents with high school diplomas is higher at 27.3% compared to 16.4% in Big bear lake.
- The percentage of residents with less than a high school education is higher in Salem at 18.0%, compared to 12.6% in Big bear lake.
- A higher percentage of residents in Big bear lake hold a bachelor's degree or higher at 25.7% compared to 13.8% in Salem.
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.