Demographics details for Woodland, CA vs Lake geneva, WI
Population Overview
Compare main population characteristics in Woodland, CA vs Lake geneva, WI.
| Data | Woodland | Lake geneva |
|---|---|---|
| Population | 61,462 | 8,544 |
| Median Age | 37.0 years | 45.0 years |
| Median Income | $84,494 | $62,883 |
| Married Families | 40.0% | 39.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 6.0 | 3.5 |
Population Comparison: Woodland vs Lake geneva
- In Woodland, the population is higher at 61,462, compared to 8,544 in Lake geneva.
- The median age in Lake geneva is higher at 45.0 years, compared to 37.0 years in Woodland.
- Woodland has a higher median income of $84,494 compared to $62,883 in Lake geneva.
- A higher percentage of married families is found in Woodland at 40.0% compared to 39.0% in Lake geneva.
- Woodland has a higher poverty level at 12% compared to 8% in Lake geneva.
- The unemployment rate in Woodland is higher at 6.0%, compared to 3.5% in Lake geneva.
Demographics
Demographics Woodland vs Lake geneva provide insight into the diversity of the communities to compare.
| Demographic | Woodland | Lake geneva |
|---|---|---|
| Black | 2 | 1 |
| White | 21 | 85 |
| Asian | 7 | Data is updating |
| Hispanic | 49 | 11 |
| Two or More Races | 20 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Woodland vs Lake geneva
- A higher percentage of Black residents are in Woodland at 2% compared to 1% in Lake geneva.
- The percentage of White residents is higher in Lake geneva at 85% compared to 21% in Woodland.
- The Asian population is larger in Woodland at 7% compared to 0% in Lake geneva.
- The Hispanic community is larger in Woodland at 49% compared to 11% in Lake geneva.
- More residents identify as two or more races in Woodland at 20% compared to 3% in Lake geneva.
- A greater percentage of American Indian residents live in Woodland at 1% compared to 0% in Lake geneva.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodland | Lake geneva |
|---|---|---|
| Mental Health Not Good | 16.0% | 13.6% |
| Physical Health Not Good | 11.6% | 8.9% |
| Depression | 18.8% | 21.7% |
| Smoking | 12.2% | 12.7% |
| Binge Drinking | 16.4% | 24.2% |
| Obesity | 28.9% | 36.0% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Woodland vs Lake geneva
- More residents in Woodland report poor mental health at 16.0% compared to 13.6% in Lake geneva.
- Higher depression rates are seen in Lake geneva at 21.7% versus 18.8% in Woodland.
- Lake geneva has a higher smoking rate at 12.7% compared to 12.2% in Woodland.
- More residents engage in binge drinking in Lake geneva at 24.2% compared to 16.4% in Woodland.
- Lake geneva has higher obesity rates at 36.0% compared to 28.9% in Woodland.
- Disability percentages are higher in Woodland at 12.0% compared to 11.0% in Lake geneva.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodland | Lake geneva |
|---|---|---|
| No Schooling | 2.0% (1,223) | 0.6% (49) |
| High School Diploma | 13.9% (8,533) | 16.9% (1,446) |
| Less than High School | 22.2% (13,649) | 8.3% (707) |
| Bachelor's Degree and Higher | 19.0% (11,706) | 27.0% (2,310) |
Education Levels Comparison: Woodland vs Lake geneva
- A higher percentage of residents in Woodland have no formal schooling at 2.0% compared to 0.6% in Lake geneva.
- In Lake geneva, the rate of residents with high school diplomas is higher at 16.9% compared to 13.9% in Woodland.
- More residents in Woodland have less than a high school education at 22.2% compared to 8.3% in Lake geneva.
- In Lake geneva, a larger share of residents have a bachelor's degree or higher at 27.0% compared to 19.0% in Woodland.
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.