Demographics details for Weed, CA vs North webster, IN
Population Overview
Compare main population characteristics in Weed, CA vs North webster, IN.
| Data | Weed | North webster |
|---|---|---|
| Population | 2,811 | 1,002 |
| Median Age | 44.1 years | 43.6 years |
| Median Income | $35,641 | $58,421 |
| Married Families | 21.0% | 32.0% |
| Poverty Level | 19% | 10% |
| Unemployment Rate | 6.5 | 3.5 |
Population Comparison: Weed vs North webster
- In Weed, the population is higher at 2,811, compared to 1,002 in North webster.
- Residents in Weed have a higher median age of 44.1 years compared to 43.6 years in North webster.
- North webster has a higher median income of $58,421, compared to $35,641 in Weed.
- In North webster, the percentage of married families is higher at 32.0%, compared to 21.0% in Weed.
- Weed has a higher poverty level at 19% compared to 10% in North webster.
- The unemployment rate in Weed is higher at 6.5%, compared to 3.5% in North webster.
Demographics
Demographics Weed vs North webster provide insight into the diversity of the communities to compare.
| Demographic | Weed | North webster |
|---|---|---|
| Black | 8 | Data is updating |
| White | 59 | 98 |
| Asian | 5 | Data is updating |
| Hispanic | 19 | Data is updating |
| Two or More Races | 7 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Weed vs North webster
- A higher percentage of Black residents are in Weed at 8% compared to 0% in North webster.
- The percentage of White residents is higher in North webster at 98% compared to 59% in Weed.
- The Asian population is larger in Weed at 5% compared to 0% in North webster.
- The Hispanic community is larger in Weed at 19% compared to 0% in North webster.
- More residents identify as two or more races in Weed at 7% compared to 2% in North webster.
- A greater percentage of American Indian residents live in Weed at 2% compared to 0% in North webster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Weed | North webster |
|---|---|---|
| Mental Health Not Good | 17.5% | 16.6% |
| Physical Health Not Good | 11.8% | 10.7% |
| Depression | 21.3% | 25.4% |
| Smoking | 14.5% | 19.0% |
| Binge Drinking | 16.9% | 18.3% |
| Obesity | 32.3% | 36.2% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Weed vs North webster
- More residents in Weed report poor mental health at 17.5% compared to 16.6% in North webster.
- Higher depression rates are seen in North webster at 25.4% versus 21.3% in Weed.
- North webster has a higher smoking rate at 19.0% compared to 14.5% in Weed.
- More residents engage in binge drinking in North webster at 18.3% compared to 16.9% in Weed.
- North webster has higher obesity rates at 36.2% compared to 32.3% in Weed.
- Disability percentages are higher in Weed at 23.0% compared to 13.0% in North webster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Weed | North webster |
|---|---|---|
| No Schooling | 1.8% (50) | 0.2% (2) |
| High School Diploma | 17.6% (494) | 23.2% (232) |
| Less than High School | 18.6% (522) | 7.8% (78) |
| Bachelor's Degree and Higher | 8.7% (245) | 9.6% (96) |
Education Levels Comparison: Weed vs North webster
- A higher percentage of residents in Weed have no formal schooling at 1.8% compared to 0.2% in North webster.
- In North webster, the rate of residents with high school diplomas is higher at 23.2% compared to 17.6% in Weed.
- More residents in Weed have less than a high school education at 18.6% compared to 7.8% in North webster.
- In North webster, a larger share of residents have a bachelor's degree or higher at 9.6% 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.