Demographics details for Reading, PA vs Falls church, VA
Population Overview
Compare main population characteristics in Reading, PA vs Falls church, VA.
| Data | Reading | Falls church |
|---|---|---|
| Population | 94,858 | 14,586 |
| Median Age | 31.1 years | 38.8 years |
| Median Income | $42,852 | $164,536 |
| Married Families | 22.0% | 43.0% |
| Poverty Level | 25% | 6% |
| Unemployment Rate | 5.2 | 2.5 |
Population Comparison: Reading vs Falls church
- In Reading, the population is higher at 94,858, compared to 14,586 in Falls church.
- The median age in Falls church is higher at 38.8 years, compared to 31.1 years in Reading.
- Falls church has a higher median income of $164,536, compared to $42,852 in Reading.
- In Falls church, the percentage of married families is higher at 43.0%, compared to 22.0% in Reading.
- Reading has a higher poverty level at 25% compared to 6% in Falls church.
- The unemployment rate in Reading is higher at 5.2%, compared to 2.5% in Falls church.
Demographics
Demographics Reading vs Falls church provide insight into the diversity of the communities to compare.
| Demographic | Reading | Falls church |
|---|---|---|
| Black | 11 | 5 |
| White | 60 | 65 |
| Asian | 1 | 9 |
| Hispanic | 67 | 11 |
| Two or More Races | 21 | 10 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Reading vs Falls church
- A higher percentage of Black residents are in Reading at 11% compared to 5% in Falls church.
- The percentage of White residents is higher in Falls church at 65% compared to 60% in Reading.
- In Falls church, the Asian population stands at 9%, greater than 1% in Reading.
- The Hispanic community is larger in Reading at 67% compared to 11% in Falls church.
- More residents identify as two or more races in Reading at 21% compared to 10% in Falls church.
- A greater percentage of American Indian residents live in Reading at 1% compared to 0% in Falls church.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Reading | Falls church |
|---|---|---|
| Mental Health Not Good | 19.7% | 11.9% |
| Physical Health Not Good | 18.1% | 6.5% |
| Depression | 23.1% | 19.9% |
| Smoking | 26.5% | 7.5% |
| Binge Drinking | 13.0% | 18.8% |
| Obesity | 44.7% | 30.8% |
| Disability Percentage | 20.0% | 7.0% |
Health Statistics Comparison: Reading vs Falls church
- More residents in Reading report poor mental health at 19.7% compared to 11.9% in Falls church.
- Depression is more prevalent in Reading at 23.1% compared to 19.9% in Falls church.
- Smoking is more prevalent in Reading at 26.5% compared to 7.5% in Falls church.
- More residents engage in binge drinking in Falls church at 18.8% compared to 13.0% in Reading.
- Obesity rates are higher in Reading at 44.7% compared to 30.8% in Falls church.
- Disability percentages are higher in Reading at 20.0% 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 | Reading | Falls church |
|---|---|---|
| No Schooling | 2.6% (2,442) | 0.3% (50) |
| High School Diploma | 17.8% (16,896) | 4.1% (597) |
| Less than High School | 32.2% (30,522) | 2.7% (388) |
| Bachelor's Degree and Higher | 6.9% (6,512) | 52.5% (7,660) |
Education Levels Comparison: Reading vs Falls church
- A higher percentage of residents in Reading have no formal schooling at 2.6% compared to 0.3% in Falls church.
- A higher percentage of residents in Reading hold a high school diploma at 17.8% compared to 4.1% in Falls church.
- More residents in Reading have less than a high school education at 32.2% 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 6.9% in Reading.
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.