Demographics details for Superior, WI vs Falls church, VA
Population Overview
Compare main population characteristics in Superior, WI vs Falls church, VA.
| Data | Superior | Falls church |
|---|---|---|
| Population | 26,459 | 14,586 |
| Median Age | 38.7 years | 38.8 years |
| Median Income | $54,935 | $164,536 |
| Married Families | 33.0% | 43.0% |
| Poverty Level | 11% | 6% |
| Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Superior vs Falls church
- In Superior, the population is higher at 26,459, compared to 14,586 in Falls church.
- The median age in Falls church is higher at 38.8 years, compared to 38.7 years in Superior.
- Falls church has a higher median income of $164,536, compared to $54,935 in Superior.
- In Falls church, the percentage of married families is higher at 43.0%, compared to 33.0% in Superior.
- Superior has a higher poverty level at 11% compared to 6% in Falls church.
- The unemployment rate in Superior is higher at 3.8%, compared to 2.5% in Falls church.
Demographics
Demographics Superior vs Falls church provide insight into the diversity of the communities to compare.
| Demographic | Superior | Falls church |
|---|---|---|
| Black | 2 | 5 |
| White | 87 | 65 |
| Asian | 2 | 9 |
| Hispanic | 2 | 11 |
| Two or More Races | 5 | 10 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Superior vs Falls church
- In Falls church, the percentage of Black residents is higher at 5% compared to 2% in Superior.
- Superior has a higher percentage of White residents at 87% compared to 65% in Falls church.
- In Falls church, the Asian population stands at 9%, greater than 2% in Superior.
- Falls church has a higher percentage of Hispanic residents at 11%, compared to 2% in Superior.
- The percentage of residents identifying as two or more races is higher in Falls church at 10%, compared to 5% in Superior.
- A greater percentage of American Indian residents live in Superior at 2% compared to 0% in Falls church.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Superior | Falls church |
|---|---|---|
| Mental Health Not Good | 15.7% | 11.9% |
| Physical Health Not Good | 10.8% | 6.5% |
| Depression | 24.0% | 19.9% |
| Smoking | 17.3% | 7.5% |
| Binge Drinking | 25.5% | 18.8% |
| Obesity | 36.9% | 30.8% |
| Disability Percentage | 16.0% | 7.0% |
Health Statistics Comparison: Superior vs Falls church
- More residents in Superior report poor mental health at 15.7% compared to 11.9% in Falls church.
- Depression is more prevalent in Superior at 24.0% compared to 19.9% in Falls church.
- Smoking is more prevalent in Superior at 17.3% compared to 7.5% in Falls church.
- Binge drinking is more common in Superior at 25.5% compared to 18.8% in Falls church.
- Obesity rates are higher in Superior at 36.9% compared to 30.8% in Falls church.
- Disability percentages are higher in Superior at 16.0% 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 | Superior | Falls church |
|---|---|---|
| No Schooling | 0.6% (149) | 0.3% (50) |
| High School Diploma | 17.4% (4,616) | 4.1% (597) |
| Less than High School | 7.6% (2,003) | 2.7% (388) |
| Bachelor's Degree and Higher | 19.8% (5,251) | 52.5% (7,660) |
Education Levels Comparison: Superior vs Falls church
- A higher percentage of residents in Superior have no formal schooling at 0.6% compared to 0.3% in Falls church.
- A higher percentage of residents in Superior hold a high school diploma at 17.4% compared to 4.1% in Falls church.
- More residents in Superior have less than a high school education at 7.6% compared to 2.7% in Falls church.
- In Falls church, a larger share of residents have a bachelor's degree or higher at 52.5% compared to 19.8% in Superior.
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.