Demographics details for Cadet, MO vs Folsom, CA
Population Overview
Compare main population characteristics in Cadet, MO vs Folsom, CA.
| Data | Cadet | Folsom |
|---|---|---|
| Population | 121 | 83,269 |
| Median Age | 36.0 years | 39.9 years |
| Median Income | $50,000 | $134,935 |
| Married Families | 40.0% | 44.0% |
| Poverty Level | 15% | 7% |
| Unemployment Rate | 4.0 | 3.8 |
Population Comparison: Cadet vs Folsom
- The population in Folsom is higher at 83,269, compared to 121 in Cadet.
- The median age in Folsom is higher at 39.9 years, compared to 36.0 years in Cadet.
- Folsom has a higher median income of $134,935, compared to $50,000 in Cadet.
- In Folsom, the percentage of married families is higher at 44.0%, compared to 40.0% in Cadet.
- Cadet has a higher poverty level at 15% compared to 7% in Folsom.
- The unemployment rate in Cadet is higher at 4.0%, compared to 3.8% in Folsom.
Demographics
Demographics Cadet vs Folsom provide insight into the diversity of the communities to compare.
| Demographic | Cadet | Folsom |
|---|---|---|
| Black | 2 | 4 |
| White | 95 | 54 |
| Asian | 1 | 18 |
| Hispanic | 1 | 14 |
| Two or More Races | 1 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cadet vs Folsom
- In Folsom, the percentage of Black residents is higher at 4% compared to 2% in Cadet.
- Cadet has a higher percentage of White residents at 95% compared to 54% in Folsom.
- In Folsom, the Asian population stands at 18%, greater than 1% in Cadet.
- Folsom has a higher percentage of Hispanic residents at 14%, compared to 1% in Cadet.
- The percentage of residents identifying as two or more races is higher in Folsom at 10%, compared to 1% in Cadet.
- The percentage of American Indian residents is the same in both Cadet and Folsom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cadet | Folsom |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.9% |
| Physical Health Not Good | Data is updating% | 8.4% |
| Depression | Data is updating% | 17.7% |
| Smoking | Data is updating% | 9.5% |
| Binge Drinking | Data is updating% | 17.8% |
| Obesity | Data is updating% | 28.0% |
| Disability Percentage | Data is updating% | 7.0% |
Health Statistics Comparison: Cadet vs Folsom
- In Folsom, a higher percentage report poor mental health at 13.9% compared to 0.0% in Cadet.
- Higher depression rates are seen in Folsom at 17.7% versus 0.0% in Cadet.
- Folsom has a higher smoking rate at 9.5% compared to 0.0% in Cadet.
- More residents engage in binge drinking in Folsom at 17.8% compared to 0.0% in Cadet.
- Folsom has higher obesity rates at 28.0% compared to 0.0% in Cadet.
- There is a higher percentage of disabled individuals in Folsom at 7.0% compared to 0.0% in Cadet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cadet | Folsom |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (451) |
| High School Diploma | 0.0% (Data is updating) | 7.7% (6,439) |
| Less than High School | 0.0% (Data is updating) | 6.1% (5,119) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 36.4% (30,311) |
Education Levels Comparison: Cadet vs Folsom
- In Folsom, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Cadet.
- In Folsom, the rate of residents with high school diplomas is higher at 7.7% compared to 0.0% in Cadet.
- The percentage of residents with less than a high school education is higher in Folsom at 6.1%, compared to 0.0% in Cadet.
- In Folsom, a larger share of residents have a bachelor's degree or higher at 36.4% compared to 0.0% in Cadet.
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.