Demographics details for Folsom, CA vs Woodville, MS
Population Overview
Compare main population characteristics in Folsom, CA vs Woodville, MS.
| Data | Folsom | Woodville |
|---|---|---|
| Population | 83,269 | 869 |
| Median Age | 39.9 years | 49.5 years |
| Median Income | $134,935 | $44,844 |
| Married Families | 44.0% | 38.0% |
| Poverty Level | 7% | 23% |
| Unemployment Rate | 3.8 | 5.1 |
Population Comparison: Folsom vs Woodville
- In Folsom, the population is higher at 83,269, compared to 869 in Woodville.
- The median age in Woodville is higher at 49.5 years, compared to 39.9 years in Folsom.
- Folsom has a higher median income of $134,935 compared to $44,844 in Woodville.
- A higher percentage of married families is found in Folsom at 44.0% compared to 38.0% in Woodville.
- The poverty level is higher in Woodville at 23%, compared to 7% in Folsom.
- Woodville has a higher unemployment rate at 5.1% compared to 3.8% in Folsom.
Demographics
Demographics Folsom vs Woodville provide insight into the diversity of the communities to compare.
| Demographic | Folsom | Woodville |
|---|---|---|
| Black | 4 | 93 |
| White | 54 | -2 |
| Asian | 18 | Data is updating |
| Hispanic | 14 | 5 |
| Two or More Races | 10 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Folsom vs Woodville
- In Woodville, the percentage of Black residents is higher at 93% compared to 4% in Folsom.
- Folsom has a higher percentage of White residents at 54% compared to -2% in Woodville.
- The Asian population is larger in Folsom at 18% compared to 0% in Woodville.
- The Hispanic community is larger in Folsom at 14% compared to 5% in Woodville.
- More residents identify as two or more races in Folsom at 10% compared to 4% in Woodville.
- The percentage of American Indian residents is the same in both Folsom and Woodville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Folsom | Woodville |
|---|---|---|
| Mental Health Not Good | 13.9% | 19.3% |
| Physical Health Not Good | 8.4% | 16.1% |
| Depression | 17.7% | 21.1% |
| Smoking | 9.5% | 26.4% |
| Binge Drinking | 17.8% | 11.0% |
| Obesity | 28.0% | 46.0% |
| Disability Percentage | 7.0% | 33.0% |
Health Statistics Comparison: Folsom vs Woodville
- In Woodville, a higher percentage report poor mental health at 19.3% compared to 13.9% in Folsom.
- Higher depression rates are seen in Woodville at 21.1% versus 17.7% in Folsom.
- Woodville has a higher smoking rate at 26.4% compared to 9.5% in Folsom.
- Binge drinking is more common in Folsom at 17.8% compared to 11.0% in Woodville.
- Woodville has higher obesity rates at 46.0% compared to 28.0% in Folsom.
- There is a higher percentage of disabled individuals in Woodville at 33.0% 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 | Folsom | Woodville |
|---|---|---|
| No Schooling | 0.5% (451) | 0.0% (Data is updating) |
| High School Diploma | 7.7% (6,439) | 36.8% (320) |
| Less than High School | 6.1% (5,119) | 10.5% (91) |
| Bachelor's Degree and Higher | 36.4% (30,311) | 15.1% (131) |
Education Levels Comparison: Folsom vs Woodville
- A higher percentage of residents in Folsom have no formal schooling at 0.5% compared to 0.0% in Woodville.
- In Woodville, the rate of residents with high school diplomas is higher at 36.8% compared to 7.7% in Folsom.
- The percentage of residents with less than a high school education is higher in Woodville at 10.5%, compared to 6.1% in Folsom.
- A higher percentage of residents in Folsom hold a bachelor's degree or higher at 36.4% compared to 15.1% in Woodville.
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.