Demographics details for Weed, CA vs Winnsboro, LA
Population Overview
Compare main population characteristics in Weed, CA vs Winnsboro, LA.
Data | Weed | Winnsboro |
---|---|---|
Population | 2,811 | 4,910 |
Median Age | 44.1 years | 36.0 years |
Median Income | $35,641 | $44,000 |
Married Families | 21.0% | 50.0% |
Poverty Level | 19% | 22% |
Unemployment Rate | 6.5 | 6.1 |
Population Comparison: Weed vs Winnsboro
- The population in Winnsboro is higher at 4,910, compared to 2,811 in Weed.
- Residents in Weed have a higher median age of 44.1 years compared to 36.0 years in Winnsboro.
- Winnsboro has a higher median income of $44,000, compared to $35,641 in Weed.
- In Winnsboro, the percentage of married families is higher at 50.0%, compared to 21.0% in Weed.
- The poverty level is higher in Winnsboro at 22%, compared to 19% in Weed.
- The unemployment rate in Weed is higher at 6.5%, compared to 6.1% in Winnsboro.
Demographics
Demographics Weed vs Winnsboro provide insight into the diversity of the communities to compare.
Demographic | Weed | Winnsboro |
---|---|---|
Black | 8 | 24 |
White | 59 | 75 |
Asian | 5 | Data is updating |
Hispanic | 19 | 1 |
Two or More Races | 7 | Data is updating |
American Indian | 2 | Data is updating |
Demographics Comparison: Weed vs Winnsboro
- In Winnsboro, the percentage of Black residents is higher at 24% compared to 8% in Weed.
- The percentage of White residents is higher in Winnsboro at 75% compared to 59% in Weed.
- The Asian population is larger in Weed at 5% compared to 0% in Winnsboro.
- The Hispanic community is larger in Weed at 19% compared to 1% in Winnsboro.
- More residents identify as two or more races in Weed at 7% compared to 0% in Winnsboro.
- A greater percentage of American Indian residents live in Weed at 2% compared to 0% in Winnsboro.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Weed | Winnsboro |
---|---|---|
Mental Health Not Good | 17.5% | Data is updating% |
Physical Health Not Good | 11.8% | Data is updating% |
Depression | 21.3% | Data is updating% |
Smoking | 14.5% | Data is updating% |
Binge Drinking | 16.9% | Data is updating% |
Obesity | 32.3% | Data is updating% |
Disability Percentage | 23.0% | Data is updating% |
Health Statistics Comparison: Weed vs Winnsboro
- More residents in Weed report poor mental health at 17.5% compared to 0.0% in Winnsboro.
- Depression is more prevalent in Weed at 21.3% compared to 0.0% in Winnsboro.
- Smoking is more prevalent in Weed at 14.5% compared to 0.0% in Winnsboro.
- Binge drinking is more common in Weed at 16.9% compared to 0.0% in Winnsboro.
- Obesity rates are higher in Weed at 32.3% compared to 0.0% in Winnsboro.
- Disability percentages are higher in Weed at 23.0% compared to 0.0% in Winnsboro.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Weed | Winnsboro |
---|---|---|
No Schooling | 1.8% (50) | 0.0% (Data is updating) |
High School Diploma | 17.6% (494) | 0.0% (Data is updating) |
Less than High School | 18.6% (522) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 8.7% (245) | 0.0% (Data is updating) |
Education Levels Comparison: Weed vs Winnsboro
- A higher percentage of residents in Weed have no formal schooling at 1.8% compared to 0.0% in Winnsboro.
- A higher percentage of residents in Weed hold a high school diploma at 17.6% compared to 0.0% in Winnsboro.
- More residents in Weed have less than a high school education at 18.6% compared to 0.0% in Winnsboro.
- A higher percentage of residents in Weed hold a bachelor's degree or higher at 8.7% compared to 0.0% in Winnsboro.
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.