Demographics details for Joy, IL vs Fall river mills, CA
Population Overview
Compare main population characteristics in Joy, IL vs Fall river mills, CA.
| Data | Joy | Fall river mills |
|---|---|---|
| Population | 362 | 678 |
| Median Age | 38.8 years | 27.7 years |
| Median Income | $65,625 | $36,827 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 0.5 | 6.0 |
Population Comparison: Joy vs Fall river mills
- The population in Fall river mills is higher at 678, compared to 362 in Joy.
- Residents in Joy have a higher median age of 38.8 years compared to 27.7 years in Fall river mills.
- Joy has a higher median income of $65,625 compared to $36,827 in Fall river mills.
- A higher percentage of married families is found in Joy at 42.0% compared to 34.0% in Fall river mills.
- The poverty level is higher in Fall river mills at 15%, compared to 0% in Joy.
- Fall river mills has a higher unemployment rate at 6.0% compared to 0.5% in Joy.
Demographics
Demographics Joy vs Fall river mills provide insight into the diversity of the communities to compare.
| Demographic | Joy | Fall river mills |
|---|---|---|
| Black | Data is updating | 1 |
| White | 98 | 36 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 25 |
| Two or More Races | 1 | 27 |
| American Indian | Data is updating | 11 |
Demographics Comparison: Joy vs Fall river mills
- In Fall river mills, the percentage of Black residents is higher at 1% compared to 0% in Joy.
- Joy has a higher percentage of White residents at 98% compared to 36% in Fall river mills.
- Both Joy and Fall river mills have the same percentage of Asian residents at 0%.
- Fall river mills has a higher percentage of Hispanic residents at 25%, compared to 1% in Joy.
- The percentage of residents identifying as two or more races is higher in Fall river mills at 27%, compared to 1% in Joy.
- In Fall river mills, the percentage of American Indian residents is higher at 11%, compared to 0% in Joy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Joy | Fall river mills |
|---|---|---|
| Mental Health Not Good | 17.4% | 17.9% |
| Physical Health Not Good | 12.3% | 11.7% |
| Depression | 22.6% | 21.7% |
| Smoking | 20.6% | 14.7% |
| Binge Drinking | 18.1% | 18.0% |
| Obesity | 37.6% | 31.3% |
| Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Joy vs Fall river mills
- In Fall river mills, a higher percentage report poor mental health at 17.9% compared to 17.4% in Joy.
- Depression is more prevalent in Joy at 22.6% compared to 21.7% in Fall river mills.
- Smoking is more prevalent in Joy at 20.6% compared to 14.7% in Fall river mills.
- Binge drinking is more common in Joy at 18.1% compared to 18.0% in Fall river mills.
- Obesity rates are higher in Joy at 37.6% compared to 31.3% in Fall river mills.
- Disability percentages are higher in Joy at 21.0% compared to 12.0% in Fall river mills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Joy | Fall river mills |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 37.0% (134) | 13.4% (91) |
| Less than High School | 14.9% (54) | 9.7% (66) |
| Bachelor's Degree and Higher | 5.5% (20) | 4.9% (33) |
Education Levels Comparison: Joy vs Fall river mills
- The percentage of residents with no formal schooling is the same in both Joy and Fall river mills at 0.0%.
- A higher percentage of residents in Joy hold a high school diploma at 37.0% compared to 13.4% in Fall river mills.
- More residents in Joy have less than a high school education at 14.9% compared to 9.7% in Fall river mills.
- A higher percentage of residents in Joy hold a bachelor's degree or higher at 5.5% compared to 4.9% in Fall river mills.
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.