Demographics details for Euclid, OH vs Falls church, VA
Population Overview
Compare main population characteristics in Euclid, OH vs Falls church, VA.
| Data | Euclid | Falls church |
|---|---|---|
| Population | 48,496 | 14,586 |
| Median Age | 41.3 years | 38.8 years |
| Median Income | $45,018 | $164,536 |
| Married Families | 22.0% | 43.0% |
| Poverty Level | 20% | 6% |
| Unemployment Rate | 5.6 | 2.5 |
Population Comparison: Euclid vs Falls church
- In Euclid, the population is higher at 48,496, compared to 14,586 in Falls church.
- Residents in Euclid have a higher median age of 41.3 years compared to 38.8 years in Falls church.
- Falls church has a higher median income of $164,536, compared to $45,018 in Euclid.
- In Falls church, the percentage of married families is higher at 43.0%, compared to 22.0% in Euclid.
- Euclid has a higher poverty level at 20% compared to 6% in Falls church.
- The unemployment rate in Euclid is higher at 5.6%, compared to 2.5% in Falls church.
Demographics
Demographics Euclid vs Falls church provide insight into the diversity of the communities to compare.
| Demographic | Euclid | Falls church |
|---|---|---|
| Black | 67 | 5 |
| White | 26 | 65 |
| Asian | 1 | 9 |
| Hispanic | 2 | 11 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Euclid vs Falls church
- A higher percentage of Black residents are in Euclid at 67% compared to 5% in Falls church.
- The percentage of White residents is higher in Falls church at 65% compared to 26% in Euclid.
- In Falls church, the Asian population stands at 9%, greater than 1% in Euclid.
- Falls church has a higher percentage of Hispanic residents at 11%, compared to 2% in Euclid.
- The percentage of residents identifying as two or more races is higher in Falls church at 10%, compared to 4% in Euclid.
- The percentage of American Indian residents is the same in both Euclid and Falls church at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Euclid | Falls church |
|---|---|---|
| Mental Health Not Good | 18.9% | 11.9% |
| Physical Health Not Good | 14.1% | 6.5% |
| Depression | 23.6% | 19.9% |
| Smoking | 23.2% | 7.5% |
| Binge Drinking | 15.6% | 18.8% |
| Obesity | 39.7% | 30.8% |
| Disability Percentage | 19.0% | 7.0% |
Health Statistics Comparison: Euclid vs Falls church
- More residents in Euclid report poor mental health at 18.9% compared to 11.9% in Falls church.
- Depression is more prevalent in Euclid at 23.6% compared to 19.9% in Falls church.
- Smoking is more prevalent in Euclid at 23.2% compared to 7.5% in Falls church.
- More residents engage in binge drinking in Falls church at 18.8% compared to 15.6% in Euclid.
- Obesity rates are higher in Euclid at 39.7% compared to 30.8% in Falls church.
- Disability percentages are higher in Euclid at 19.0% 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 | Euclid | Falls church |
|---|---|---|
| No Schooling | 0.5% (234) | 0.3% (50) |
| High School Diploma | 19.3% (9,351) | 4.1% (597) |
| Less than High School | 9.1% (4,405) | 2.7% (388) |
| Bachelor's Degree and Higher | 14.5% (7,054) | 52.5% (7,660) |
Education Levels Comparison: Euclid vs Falls church
- A higher percentage of residents in Euclid have no formal schooling at 0.5% compared to 0.3% in Falls church.
- A higher percentage of residents in Euclid hold a high school diploma at 19.3% compared to 4.1% in Falls church.
- More residents in Euclid have less than a high school education at 9.1% 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 14.5% in Euclid.
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.