Demographics details for Fort scott, KS vs Weed, CA
Population Overview
Compare main population characteristics in Fort scott, KS vs Weed, CA.
| Data | Fort scott | Weed |
|---|---|---|
| Population | 7,615 | 2,811 |
| Median Age | 38.3 years | 44.1 years |
| Median Income | $45,206 | $35,641 |
| Married Families | 36.0% | 21.0% |
| Poverty Level | 14% | 19% |
| Unemployment Rate | 4.5 | 6.5 |
Population Comparison: Fort scott vs Weed
- In Fort scott, the population is higher at 7,615, compared to 2,811 in Weed.
- The median age in Weed is higher at 44.1 years, compared to 38.3 years in Fort scott.
- Fort scott has a higher median income of $45,206 compared to $35,641 in Weed.
- A higher percentage of married families is found in Fort scott at 36.0% compared to 21.0% in Weed.
- The poverty level is higher in Weed at 19%, compared to 14% in Fort scott.
- Weed has a higher unemployment rate at 6.5% compared to 4.5% in Fort scott.
Demographics
Demographics Fort scott vs Weed provide insight into the diversity of the communities to compare.
| Demographic | Fort scott | Weed |
|---|---|---|
| Black | 4 | 8 |
| White | 87 | 59 |
| Asian | Data is updating | 5 |
| Hispanic | 3 | 19 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Fort scott vs Weed
- In Weed, the percentage of Black residents is higher at 8% compared to 4% in Fort scott.
- Fort scott has a higher percentage of White residents at 87% compared to 59% in Weed.
- In Weed, the Asian population stands at 5%, greater than 0% in Fort scott.
- Weed has a higher percentage of Hispanic residents at 19%, compared to 3% in Fort scott.
- The percentage of residents identifying as two or more races is higher in Weed at 7%, compared to 6% in Fort scott.
- In Weed, the percentage of American Indian residents is higher at 2%, compared to 0% in Fort scott.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort scott | Weed |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.5% |
| Physical Health Not Good | 12.3% | 11.8% |
| Depression | 23.2% | 21.3% |
| Smoking | 22.8% | 14.5% |
| Binge Drinking | 16.6% | 16.9% |
| Obesity | 42.7% | 32.3% |
| Disability Percentage | 21.0% | 23.0% |
Health Statistics Comparison: Fort scott vs Weed
- More residents in Fort scott report poor mental health at 18.3% compared to 17.5% in Weed.
- Depression is more prevalent in Fort scott at 23.2% compared to 21.3% in Weed.
- Smoking is more prevalent in Fort scott at 22.8% compared to 14.5% in Weed.
- More residents engage in binge drinking in Weed at 16.9% compared to 16.6% in Fort scott.
- Obesity rates are higher in Fort scott at 42.7% compared to 32.3% in Weed.
- There is a higher percentage of disabled individuals in Weed at 23.0% compared to 21.0% in Fort scott.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fort scott | Weed |
|---|---|---|
| No Schooling | 0.4% (30) | 1.8% (50) |
| High School Diploma | 13.7% (1,041) | 17.6% (494) |
| Less than High School | 16.9% (1,285) | 18.6% (522) |
| Bachelor's Degree and Higher | 13.5% (1,029) | 8.7% (245) |
Education Levels Comparison: Fort scott vs Weed
- In Weed, a larger percentage of residents lack formal schooling at 1.8% compared to 0.4% in Fort scott.
- In Weed, the rate of residents with high school diplomas is higher at 17.6% compared to 13.7% in Fort scott.
- The percentage of residents with less than a high school education is higher in Weed at 18.6%, compared to 16.9% in Fort scott.
- A higher percentage of residents in Fort scott hold a bachelor's degree or higher at 13.5% 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.