Demographics details for Winona, MS vs Folsom, CA
Population Overview
Compare main population characteristics in Winona, MS vs Folsom, CA.
| Data | Winona | Folsom |
|---|---|---|
| Population | 4,159 | 83,269 |
| Median Age | 33.7 years | 39.9 years |
| Median Income | $26,250 | $134,935 |
| Married Families | 21.0% | 44.0% |
| Poverty Level | 24% | 7% |
| Unemployment Rate | 3.6 | 3.8 |
Population Comparison: Winona vs Folsom
- The population in Folsom is higher at 83,269, compared to 4,159 in Winona.
- The median age in Folsom is higher at 39.9 years, compared to 33.7 years in Winona.
- Folsom has a higher median income of $134,935, compared to $26,250 in Winona.
- In Folsom, the percentage of married families is higher at 44.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 7% in Folsom.
- Folsom has a higher unemployment rate at 3.8% compared to 3.6% in Winona.
Demographics
Demographics Winona vs Folsom provide insight into the diversity of the communities to compare.
| Demographic | Winona | Folsom |
|---|---|---|
| Black | 62 | 4 |
| White | 38 | 54 |
| Asian | Data is updating | 18 |
| Hispanic | Data is updating | 14 |
| Two or More Races | Data is updating | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Folsom
- A higher percentage of Black residents are in Winona at 62% compared to 4% in Folsom.
- The percentage of White residents is higher in Folsom at 54% compared to 38% in Winona.
- In Folsom, the Asian population stands at 18%, greater than 0% in Winona.
- Folsom has a higher percentage of Hispanic residents at 14%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Folsom at 10%, compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Winona and Folsom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Folsom |
|---|---|---|
| Mental Health Not Good | 19.3% | 13.9% |
| Physical Health Not Good | 15.0% | 8.4% |
| Depression | 22.3% | 17.7% |
| Smoking | 24.8% | 9.5% |
| Binge Drinking | 11.8% | 17.8% |
| Obesity | 46.4% | 28.0% |
| Disability Percentage | 25.0% | 7.0% |
Health Statistics Comparison: Winona vs Folsom
- More residents in Winona report poor mental health at 19.3% compared to 13.9% in Folsom.
- Depression is more prevalent in Winona at 22.3% compared to 17.7% in Folsom.
- Smoking is more prevalent in Winona at 24.8% compared to 9.5% in Folsom.
- More residents engage in binge drinking in Folsom at 17.8% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 28.0% in Folsom.
- Disability percentages are higher in Winona at 25.0% 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 | Winona | Folsom |
|---|---|---|
| No Schooling | 2.1% (87) | 0.5% (451) |
| High School Diploma | 11.4% (473) | 7.7% (6,439) |
| Less than High School | 28.5% (1,186) | 6.1% (5,119) |
| Bachelor's Degree and Higher | 9.3% (388) | 36.4% (30,311) |
Education Levels Comparison: Winona vs Folsom
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.5% in Folsom.
- A higher percentage of residents in Winona hold a high school diploma at 11.4% compared to 7.7% in Folsom.
- More residents in Winona have less than a high school education at 28.5% 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 9.3% in Winona.
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.