Demographics details for Falls church, VA vs Parker, PA
Population Overview
Compare main population characteristics in Falls church, VA vs Parker, PA.
| Data | Falls church | Parker |
|---|---|---|
| Population | 14,586 | 690 |
| Median Age | 38.8 years | 45.7 years |
| Median Income | $164,536 | $46,875 |
| Married Families | 43.0% | 35.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 2.5 | 5.0 |
Population Comparison: Falls church vs Parker
- In Falls church, the population is higher at 14,586, compared to 690 in Parker.
- The median age in Parker is higher at 45.7 years, compared to 38.8 years in Falls church.
- Falls church has a higher median income of $164,536 compared to $46,875 in Parker.
- A higher percentage of married families is found in Falls church at 43.0% compared to 35.0% in Parker.
- The poverty level is higher in Parker at 12%, compared to 6% in Falls church.
- Parker has a higher unemployment rate at 5.0% compared to 2.5% in Falls church.
Demographics
Demographics Falls church vs Parker provide insight into the diversity of the communities to compare.
| Demographic | Falls church | Parker |
|---|---|---|
| Black | 5 | 2 |
| White | 65 | 97 |
| Asian | 9 | Data is updating |
| Hispanic | 11 | Data is updating |
| Two or More Races | 10 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls church vs Parker
- A higher percentage of Black residents are in Falls church at 5% compared to 2% in Parker.
- The percentage of White residents is higher in Parker at 97% compared to 65% in Falls church.
- The Asian population is larger in Falls church at 9% compared to 0% in Parker.
- The Hispanic community is larger in Falls church at 11% compared to 0% in Parker.
- More residents identify as two or more races in Falls church at 10% compared to 1% in Parker.
- The percentage of American Indian residents is the same in both Falls church and Parker at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falls church | Parker |
|---|---|---|
| Mental Health Not Good | 11.9% | 17.9% |
| Physical Health Not Good | 6.5% | 12.5% |
| Depression | 19.9% | 24.0% |
| Smoking | 7.5% | 21.5% |
| Binge Drinking | 18.8% | 18.5% |
| Obesity | 30.8% | 36.2% |
| Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Falls church vs Parker
- In Parker, a higher percentage report poor mental health at 17.9% compared to 11.9% in Falls church.
- Higher depression rates are seen in Parker at 24.0% versus 19.9% in Falls church.
- Parker has a higher smoking rate at 21.5% compared to 7.5% in Falls church.
- Binge drinking is more common in Falls church at 18.8% compared to 18.5% in Parker.
- Parker has higher obesity rates at 36.2% compared to 30.8% in Falls church.
- There is a higher percentage of disabled individuals in Parker 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 | Falls church | Parker |
|---|---|---|
| No Schooling | 0.3% (50) | 0.0% (Data is updating) |
| High School Diploma | 4.1% (597) | 32.2% (222) |
| Less than High School | 2.7% (388) | 16.5% (114) |
| Bachelor's Degree and Higher | 52.5% (7,660) | 8.3% (57) |
Education Levels Comparison: Falls church vs Parker
- A higher percentage of residents in Falls church have no formal schooling at 0.3% compared to 0.0% in Parker.
- In Parker, the rate of residents with high school diplomas is higher at 32.2% compared to 4.1% in Falls church.
- The percentage of residents with less than a high school education is higher in Parker at 16.5%, 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 8.3% in Parker.
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.