Demographics details for Woodland, CA vs Williamsport, PA
Population Overview
Compare main population characteristics in Woodland, CA vs Williamsport, PA.
| Data | Woodland | Williamsport |
|---|---|---|
| Population | 61,462 | 27,403 |
| Median Age | 37.0 years | 30.3 years |
| Median Income | $84,494 | $48,388 |
| Married Families | 40.0% | 24.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 6.0 | 4.1 |
Population Comparison: Woodland vs Williamsport
- In Woodland, the population is higher at 61,462, compared to 27,403 in Williamsport.
- Residents in Woodland have a higher median age of 37.0 years compared to 30.3 years in Williamsport.
- Woodland has a higher median income of $84,494 compared to $48,388 in Williamsport.
- A higher percentage of married families is found in Woodland at 40.0% compared to 24.0% in Williamsport.
- The poverty level is higher in Williamsport at 16%, compared to 12% in Woodland.
- The unemployment rate in Woodland is higher at 6.0%, compared to 4.1% in Williamsport.
Demographics
Demographics Woodland vs Williamsport provide insight into the diversity of the communities to compare.
| Demographic | Woodland | Williamsport |
|---|---|---|
| Black | 2 | 14 |
| White | 21 | 75 |
| Asian | 7 | 1 |
| Hispanic | 49 | 3 |
| Two or More Races | 20 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Woodland vs Williamsport
- In Williamsport, the percentage of Black residents is higher at 14% compared to 2% in Woodland.
- The percentage of White residents is higher in Williamsport at 75% compared to 21% in Woodland.
- The Asian population is larger in Woodland at 7% compared to 1% in Williamsport.
- The Hispanic community is larger in Woodland at 49% compared to 3% in Williamsport.
- More residents identify as two or more races in Woodland at 20% compared to 6% in Williamsport.
- The percentage of American Indian residents is the same in both Woodland and Williamsport at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodland | Williamsport |
|---|---|---|
| Mental Health Not Good | 16.0% | 18.9% |
| Physical Health Not Good | 11.6% | 13.7% |
| Depression | 18.8% | 24.6% |
| Smoking | 12.2% | 22.7% |
| Binge Drinking | 16.4% | 16.2% |
| Obesity | 28.9% | 40.4% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Woodland vs Williamsport
- In Williamsport, a higher percentage report poor mental health at 18.9% compared to 16.0% in Woodland.
- Higher depression rates are seen in Williamsport at 24.6% versus 18.8% in Woodland.
- Williamsport has a higher smoking rate at 22.7% compared to 12.2% in Woodland.
- Binge drinking is more common in Woodland at 16.4% compared to 16.2% in Williamsport.
- Williamsport has higher obesity rates at 40.4% compared to 28.9% in Woodland.
- There is a higher percentage of disabled individuals in Williamsport at 18.0% compared to 12.0% in Woodland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodland | Williamsport |
|---|---|---|
| No Schooling | 2.0% (1,223) | 0.7% (186) |
| High School Diploma | 13.9% (8,533) | 16.4% (4,487) |
| Less than High School | 22.2% (13,649) | 12.8% (3,507) |
| Bachelor's Degree and Higher | 19.0% (11,706) | 16.1% (4,416) |
Education Levels Comparison: Woodland vs Williamsport
- A higher percentage of residents in Woodland have no formal schooling at 2.0% compared to 0.7% in Williamsport.
- In Williamsport, the rate of residents with high school diplomas is higher at 16.4% compared to 13.9% in Woodland.
- More residents in Woodland have less than a high school education at 22.2% compared to 12.8% in Williamsport.
- A higher percentage of residents in Woodland hold a bachelor's degree or higher at 19.0% compared to 16.1% in Williamsport.
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.