Demographics details for Sunrise beach, MO vs Folsom, CA
Population Overview
Compare main population characteristics in Sunrise beach, MO vs Folsom, CA.
Data | Sunrise beach | Folsom |
---|---|---|
Population | 475 | 83,269 |
Median Age | 43.9 years | 39.9 years |
Median Income | $46,389 | $134,935 |
Married Families | 33.0% | 44.0% |
Poverty Level | 12% | 7% |
Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Sunrise beach vs Folsom
- The population in Folsom is higher at 83,269, compared to 475 in Sunrise beach.
- Residents in Sunrise beach have a higher median age of 43.9 years compared to 39.9 years in Folsom.
- Folsom has a higher median income of $134,935, compared to $46,389 in Sunrise beach.
- In Folsom, the percentage of married families is higher at 44.0%, compared to 33.0% in Sunrise beach.
- Sunrise beach has a higher poverty level at 12% compared to 7% in Folsom.
- Folsom has a higher unemployment rate at 3.8% compared to 3.5% in Sunrise beach.
Demographics
Demographics Sunrise beach vs Folsom provide insight into the diversity of the communities to compare.
Demographic | Sunrise beach | Folsom |
---|---|---|
Black | 1 | 4 |
White | 91 | 54 |
Asian | 1 | 18 |
Hispanic | 5 | 14 |
Two or More Races | 1 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sunrise beach vs Folsom
- In Folsom, the percentage of Black residents is higher at 4% compared to 1% in Sunrise beach.
- Sunrise beach has a higher percentage of White residents at 91% compared to 54% in Folsom.
- In Folsom, the Asian population stands at 18%, greater than 1% in Sunrise beach.
- Folsom has a higher percentage of Hispanic residents at 14%, compared to 5% in Sunrise beach.
- The percentage of residents identifying as two or more races is higher in Folsom at 10%, compared to 1% in Sunrise beach.
- A greater percentage of American Indian residents live in Sunrise beach at 1% compared to 0% in Folsom.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sunrise beach | Folsom |
---|---|---|
Mental Health Not Good | 17.7% | 13.9% |
Physical Health Not Good | 12.6% | 8.4% |
Depression | 25.2% | 17.7% |
Smoking | 20.6% | 9.5% |
Binge Drinking | 19.7% | 17.8% |
Obesity | 37.2% | 28.0% |
Disability Percentage | 17.0% | 7.0% |
Health Statistics Comparison: Sunrise beach vs Folsom
- More residents in Sunrise beach report poor mental health at 17.7% compared to 13.9% in Folsom.
- Depression is more prevalent in Sunrise beach at 25.2% compared to 17.7% in Folsom.
- Smoking is more prevalent in Sunrise beach at 20.6% compared to 9.5% in Folsom.
- Binge drinking is more common in Sunrise beach at 19.7% compared to 17.8% in Folsom.
- Obesity rates are higher in Sunrise beach at 37.2% compared to 28.0% in Folsom.
- Disability percentages are higher in Sunrise beach at 17.0% compared to 7.0% in Folsom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sunrise beach | Folsom |
---|---|---|
No Schooling | 1.1% (5) | 0.5% (451) |
High School Diploma | 20.8% (99) | 7.7% (6,439) |
Less than High School | 2.9% (14) | 6.1% (5,119) |
Bachelor's Degree and Higher | 25.5% (121) | 36.4% (30,311) |
Education Levels Comparison: Sunrise beach vs Folsom
- A higher percentage of residents in Sunrise beach have no formal schooling at 1.1% compared to 0.5% in Folsom.
- A higher percentage of residents in Sunrise beach hold a high school diploma at 20.8% compared to 7.7% in Folsom.
- The percentage of residents with less than a high school education is higher in Folsom at 6.1%, compared to 2.9% in Sunrise beach.
- In Folsom, a larger share of residents have a bachelor's degree or higher at 36.4% compared to 25.5% in Sunrise beach.
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.