Demographics details for Springfield, MO vs Folsom, CA
Population Overview
Compare main population characteristics in Springfield, MO vs Folsom, CA.
| Data | Springfield | Folsom |
|---|---|---|
| Population | 170,067 | 83,269 |
| Median Age | 33.3 years | 39.9 years |
| Median Income | $43,450 | $134,935 |
| Married Families | 32.0% | 44.0% |
| Poverty Level | 17% | 7% |
| Unemployment Rate | 4.0 | 3.8 |
Population Comparison: Springfield vs Folsom
- In Springfield, the population is higher at 170,067, compared to 83,269 in Folsom.
- The median age in Folsom is higher at 39.9 years, compared to 33.3 years in Springfield.
- Folsom has a higher median income of $134,935, compared to $43,450 in Springfield.
- In Folsom, the percentage of married families is higher at 44.0%, compared to 32.0% in Springfield.
- Springfield has a higher poverty level at 17% compared to 7% in Folsom.
- The unemployment rate in Springfield is higher at 4.0%, compared to 3.8% in Folsom.
Demographics
Demographics Springfield vs Folsom provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Folsom |
|---|---|---|
| Black | 4 | 4 |
| White | 83 | 54 |
| Asian | 2 | 18 |
| Hispanic | 5 | 14 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Folsom
- The percentage of Black residents is the same in both Springfield and Folsom at 4%.
- Springfield has a higher percentage of White residents at 83% compared to 54% in Folsom.
- In Folsom, the Asian population stands at 18%, greater than 2% in Springfield.
- Folsom has a higher percentage of Hispanic residents at 14%, compared to 5% in Springfield.
- The percentage of residents identifying as two or more races is higher in Folsom at 10%, compared to 6% in Springfield.
- The percentage of American Indian residents is the same in both Springfield and Folsom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Folsom |
|---|---|---|
| Mental Health Not Good | 19.8% | 13.9% |
| Physical Health Not Good | 14.1% | 8.4% |
| Depression | 27.3% | 17.7% |
| Smoking | 21.6% | 9.5% |
| Binge Drinking | 16.5% | 17.8% |
| Obesity | 35.8% | 28.0% |
| Disability Percentage | 16.0% | 7.0% |
Health Statistics Comparison: Springfield vs Folsom
- More residents in Springfield report poor mental health at 19.8% compared to 13.9% in Folsom.
- Depression is more prevalent in Springfield at 27.3% compared to 17.7% in Folsom.
- Smoking is more prevalent in Springfield at 21.6% compared to 9.5% in Folsom.
- More residents engage in binge drinking in Folsom at 17.8% compared to 16.5% in Springfield.
- Obesity rates are higher in Springfield at 35.8% compared to 28.0% in Folsom.
- Disability percentages are higher in Springfield at 16.0% 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 | Springfield | Folsom |
|---|---|---|
| No Schooling | 0.6% (1,094) | 0.5% (451) |
| High School Diploma | 14.7% (24,915) | 7.7% (6,439) |
| Less than High School | 9.6% (16,273) | 6.1% (5,119) |
| Bachelor's Degree and Higher | 18.9% (32,189) | 36.4% (30,311) |
Education Levels Comparison: Springfield vs Folsom
- A higher percentage of residents in Springfield have no formal schooling at 0.6% compared to 0.5% in Folsom.
- A higher percentage of residents in Springfield hold a high school diploma at 14.7% compared to 7.7% in Folsom.
- More residents in Springfield have less than a high school education at 9.6% compared to 6.1% in Folsom.
- In Folsom, a larger share of residents have a bachelor's degree or higher at 36.4% compared to 18.9% in Springfield.
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.