Demographics details for Falls church, VA vs Joy, IL
Population Overview
Compare main population characteristics in Falls church, VA vs Joy, IL.
| Data | Falls church | Joy |
|---|---|---|
| Population | 14,586 | 362 |
| Median Age | 38.8 years | 38.8 years |
| Median Income | $164,536 | $65,625 |
| Married Families | 43.0% | 42.0% |
| Poverty Level | 6% | Data is updating |
| Unemployment Rate | 2.5 | 0.5 |
Population Comparison: Falls church vs Joy
- In Falls church, the population is higher at 14,586, compared to 362 in Joy.
- The median age is the same in both Falls church and Joy at 38.8 years.
- Falls church has a higher median income of $164,536 compared to $65,625 in Joy.
- A higher percentage of married families is found in Falls church at 43.0% compared to 42.0% in Joy.
- Falls church has a higher poverty level at 6% compared to 0% in Joy.
- The unemployment rate in Falls church is higher at 2.5%, compared to 0.5% in Joy.
Demographics
Demographics Falls church vs Joy provide insight into the diversity of the communities to compare.
| Demographic | Falls church | Joy |
|---|---|---|
| Black | 5 | Data is updating |
| White | 65 | 98 |
| Asian | 9 | Data is updating |
| Hispanic | 11 | 1 |
| Two or More Races | 10 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls church vs Joy
- A higher percentage of Black residents are in Falls church at 5% compared to 0% in Joy.
- The percentage of White residents is higher in Joy at 98% compared to 65% in Falls church.
- The Asian population is larger in Falls church at 9% compared to 0% in Joy.
- The Hispanic community is larger in Falls church at 11% compared to 1% in Joy.
- More residents identify as two or more races in Falls church at 10% compared to 1% in Joy.
- The percentage of American Indian residents is the same in both Falls church and Joy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falls church | Joy |
|---|---|---|
| Mental Health Not Good | 11.9% | 17.4% |
| Physical Health Not Good | 6.5% | 12.3% |
| Depression | 19.9% | 22.6% |
| Smoking | 7.5% | 20.6% |
| Binge Drinking | 18.8% | 18.1% |
| Obesity | 30.8% | 37.6% |
| Disability Percentage | 7.0% | 21.0% |
Health Statistics Comparison: Falls church vs Joy
- In Joy, a higher percentage report poor mental health at 17.4% compared to 11.9% in Falls church.
- Higher depression rates are seen in Joy at 22.6% versus 19.9% in Falls church.
- Joy has a higher smoking rate at 20.6% compared to 7.5% in Falls church.
- Binge drinking is more common in Falls church at 18.8% compared to 18.1% in Joy.
- Joy has higher obesity rates at 37.6% compared to 30.8% in Falls church.
- There is a higher percentage of disabled individuals in Joy at 21.0% compared to 7.0% in Falls church.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falls church | Joy |
|---|---|---|
| No Schooling | 0.3% (50) | 0.0% (Data is updating) |
| High School Diploma | 4.1% (597) | 37.0% (134) |
| Less than High School | 2.7% (388) | 14.9% (54) |
| Bachelor's Degree and Higher | 52.5% (7,660) | 5.5% (20) |
Education Levels Comparison: Falls church vs Joy
- A higher percentage of residents in Falls church have no formal schooling at 0.3% compared to 0.0% in Joy.
- In Joy, the rate of residents with high school diplomas is higher at 37.0% compared to 4.1% in Falls church.
- The percentage of residents with less than a high school education is higher in Joy at 14.9%, compared to 2.7% in Falls church.
- A higher percentage of residents in Falls church hold a bachelor's degree or higher at 52.5% compared to 5.5% in Joy.
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.