Demographics details for Falls church, VA vs Ontario, CA
Population Overview
Compare main population characteristics in Falls church, VA vs Ontario, CA.
| Data | Falls church | Ontario |
|---|---|---|
| Population | 14,586 | 184,705 |
| Median Age | 38.8 years | 34.3 years |
| Median Income | $164,536 | $67,659 |
| Married Families | 43.0% | 30.5% |
| Poverty Level | 6% | 14% |
| Unemployment Rate | 2.5 | 5.1 |
Population Comparison: Falls church vs Ontario
- The population in Ontario is higher at 184,705, compared to 14,586 in Falls church.
- Residents in Falls church have a higher median age of 38.8 years compared to 34.3 years in Ontario.
- Falls church has a higher median income of $164,536 compared to $67,659 in Ontario.
- A higher percentage of married families is found in Falls church at 43.0% compared to 30.5% in Ontario.
- The poverty level is higher in Ontario at 14%, compared to 6% in Falls church.
- Ontario has a higher unemployment rate at 5.1% compared to 2.5% in Falls church.
Demographics
Demographics Falls church vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Falls church | Ontario |
|---|---|---|
| Black | 5 | 8.5 |
| White | 65 | 36.2 |
| Asian | 9 | 6.0 |
| Hispanic | 11 | 44.5 |
| Two or More Races | 10 | 4.8 |
| American Indian | Data is updating | 0.5 |
Demographics Comparison: Falls church vs Ontario
- In Ontario, the percentage of Black residents is higher at 8.5% compared to 5% in Falls church.
- Falls church has a higher percentage of White residents at 65% compared to 36.2% in Ontario.
- The Asian population is larger in Falls church at 9% compared to 6.0% in Ontario.
- Ontario has a higher percentage of Hispanic residents at 44.5%, compared to 11% in Falls church.
- More residents identify as two or more races in Falls church at 10% compared to 4.8% in Ontario.
- In Ontario, the percentage of American Indian residents is higher at 0.5%, compared to 0% in Falls church.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falls church | Ontario |
|---|---|---|
| Mental Health Not Good | 11.9% | Data is updating% |
| Physical Health Not Good | 6.5% | Data is updating% |
| Depression | 19.9% | Data is updating% |
| Smoking | 7.5% | Data is updating% |
| Binge Drinking | 18.8% | Data is updating% |
| Obesity | 30.8% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Falls church vs Ontario
- More residents in Falls church report poor mental health at 11.9% compared to 0.0% in Ontario.
- Depression is more prevalent in Falls church at 19.9% compared to 0.0% in Ontario.
- Smoking is more prevalent in Falls church at 7.5% compared to 0.0% in Ontario.
- Binge drinking is more common in Falls church at 18.8% compared to 0.0% in Ontario.
- Obesity rates are higher in Falls church at 30.8% compared to 0.0% in Ontario.
- Disability percentages are higher in Falls church at 7.0% compared to 0.0% in Ontario.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falls church | Ontario |
|---|---|---|
| No Schooling | 0.3% (50) | 0.0% (Data is updating) |
| High School Diploma | 4.1% (597) | 0.0% (Data is updating) |
| Less than High School | 2.7% (388) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 52.5% (7,660) | 0.0% (Data is updating) |
Education Levels Comparison: Falls church vs Ontario
- A higher percentage of residents in Falls church have no formal schooling at 0.3% compared to 0.0% in Ontario.
- A higher percentage of residents in Falls church hold a high school diploma at 4.1% compared to 0.0% in Ontario.
- More residents in Falls church have less than a high school education at 2.7% compared to 0.0% in Ontario.
- A higher percentage of residents in Falls church hold a bachelor's degree or higher at 52.5% compared to 0.0% in Ontario.
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.