Demographics details for Indian head, MD vs Folsom, CA
Population Overview
Compare main population characteristics in Indian head, MD vs Folsom, CA.
| Data | Indian head | Folsom |
|---|---|---|
| Population | 4,025 | 83,269 |
| Median Age | 37.5 years | 39.9 years |
| Median Income | $77,948 | $134,935 |
| Married Families | 24.0% | 44.0% |
| Poverty Level | 9% | 7% |
| Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Indian head vs Folsom
- The population in Folsom is higher at 83,269, compared to 4,025 in Indian head.
- The median age in Folsom is higher at 39.9 years, compared to 37.5 years in Indian head.
- Folsom has a higher median income of $134,935, compared to $77,948 in Indian head.
- In Folsom, the percentage of married families is higher at 44.0%, compared to 24.0% in Indian head.
- Indian head has a higher poverty level at 9% compared to 7% in Folsom.
- Folsom has a higher unemployment rate at 3.8% compared to 3.5% in Indian head.
Demographics
Demographics Indian head vs Folsom provide insight into the diversity of the communities to compare.
| Demographic | Indian head | Folsom |
|---|---|---|
| Black | 62 | 4 |
| White | 26 | 54 |
| Asian | 3 | 18 |
| Hispanic | 5 | 14 |
| Two or More Races | 3 | 10 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Indian head vs Folsom
- A higher percentage of Black residents are in Indian head at 62% compared to 4% in Folsom.
- The percentage of White residents is higher in Folsom at 54% compared to 26% in Indian head.
- In Folsom, the Asian population stands at 18%, greater than 3% in Indian head.
- Folsom has a higher percentage of Hispanic residents at 14%, compared to 5% in Indian head.
- The percentage of residents identifying as two or more races is higher in Folsom at 10%, compared to 3% in Indian head.
- A greater percentage of American Indian residents live in Indian head at 1% compared to 0% in Folsom.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Indian head | Folsom |
|---|---|---|
| Mental Health Not Good | 15.9% | 13.9% |
| Physical Health Not Good | 10.9% | 8.4% |
| Depression | 17.0% | 17.7% |
| Smoking | 16.4% | 9.5% |
| Binge Drinking | 15.1% | 17.8% |
| Obesity | 44.5% | 28.0% |
| Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Indian head vs Folsom
- More residents in Indian head report poor mental health at 15.9% compared to 13.9% in Folsom.
- Higher depression rates are seen in Folsom at 17.7% versus 17.0% in Indian head.
- Smoking is more prevalent in Indian head at 16.4% compared to 9.5% in Folsom.
- More residents engage in binge drinking in Folsom at 17.8% compared to 15.1% in Indian head.
- Obesity rates are higher in Indian head at 44.5% compared to 28.0% in Folsom.
- Disability percentages are higher in Indian head at 14.0% 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 | Indian head | Folsom |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (451) |
| High School Diploma | 27.9% (1,123) | 7.7% (6,439) |
| Less than High School | 4.5% (183) | 6.1% (5,119) |
| Bachelor's Degree and Higher | 10.9% (437) | 36.4% (30,311) |
Education Levels Comparison: Indian head vs Folsom
- In Folsom, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Indian head.
- A higher percentage of residents in Indian head hold a high school diploma at 27.9% 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 4.5% in Indian head.
- In Folsom, a larger share of residents have a bachelor's degree or higher at 36.4% compared to 10.9% in Indian head.
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.