Demographics details for West milton, OH vs Weed, CA
Population Overview
Compare main population characteristics in West milton, OH vs Weed, CA.
| Data | West milton | Weed |
|---|---|---|
| Population | 4,771 | 2,811 |
| Median Age | 40.0 years | 44.1 years |
| Median Income | $56,643 | $35,641 |
| Married Families | 42.0% | 21.0% |
| Poverty Level | 8% | 19% |
| Unemployment Rate | 3.0 | 6.5 |
Population Comparison: West milton vs Weed
- In West milton, the population is higher at 4,771, compared to 2,811 in Weed.
- The median age in Weed is higher at 44.1 years, compared to 40.0 years in West milton.
- West milton has a higher median income of $56,643 compared to $35,641 in Weed.
- A higher percentage of married families is found in West milton at 42.0% compared to 21.0% in Weed.
- The poverty level is higher in Weed at 19%, compared to 8% in West milton.
- Weed has a higher unemployment rate at 6.5% compared to 3.0% in West milton.
Demographics
Demographics West milton vs Weed provide insight into the diversity of the communities to compare.
| Demographic | West milton | Weed |
|---|---|---|
| Black | Data is updating | 8 |
| White | 97 | 59 |
| Asian | Data is updating | 5 |
| Hispanic | 1 | 19 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | 2 |
Demographics Comparison: West milton vs Weed
- In Weed, the percentage of Black residents is higher at 8% compared to 0% in West milton.
- West milton has a higher percentage of White residents at 97% compared to 59% in Weed.
- In Weed, the Asian population stands at 5%, greater than 0% in West milton.
- Weed has a higher percentage of Hispanic residents at 19%, compared to 1% in West milton.
- The percentage of residents identifying as two or more races is higher in Weed at 7%, compared to 2% in West milton.
- In Weed, the percentage of American Indian residents is higher at 2%, compared to 0% in West milton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West milton | Weed |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.5% |
| Physical Health Not Good | 12.4% | 11.8% |
| Depression | 23.6% | 21.3% |
| Smoking | 22.0% | 14.5% |
| Binge Drinking | 17.9% | 16.9% |
| Obesity | 40.5% | 32.3% |
| Disability Percentage | 12.0% | 23.0% |
Health Statistics Comparison: West milton vs Weed
- More residents in West milton report poor mental health at 18.1% compared to 17.5% in Weed.
- Depression is more prevalent in West milton at 23.6% compared to 21.3% in Weed.
- Smoking is more prevalent in West milton at 22.0% compared to 14.5% in Weed.
- Binge drinking is more common in West milton at 17.9% compared to 16.9% in Weed.
- Obesity rates are higher in West milton at 40.5% compared to 32.3% in Weed.
- There is a higher percentage of disabled individuals in Weed at 23.0% compared to 12.0% in West milton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West milton | Weed |
|---|---|---|
| No Schooling | 0.3% (13) | 1.8% (50) |
| High School Diploma | 25.3% (1,209) | 17.6% (494) |
| Less than High School | 13.2% (628) | 18.6% (522) |
| Bachelor's Degree and Higher | 9.7% (461) | 8.7% (245) |
Education Levels Comparison: West milton vs Weed
- In Weed, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in West milton.
- A higher percentage of residents in West milton hold a high school diploma at 25.3% compared to 17.6% in Weed.
- The percentage of residents with less than a high school education is higher in Weed at 18.6%, compared to 13.2% in West milton.
- A higher percentage of residents in West milton hold a bachelor's degree or higher at 9.7% compared to 8.7% in Weed.
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.