Demographics details for Palatine, IL vs Falls church, VA
Population Overview
Compare main population characteristics in Palatine, IL vs Falls church, VA.
| Data | Palatine | Falls church |
|---|---|---|
| Population | 65,485 | 14,586 |
| Median Age | 39.4 years | 38.8 years |
| Median Income | $93,383 | $164,536 |
| Married Families | 44.0% | 43.0% |
| Poverty Level | 4% | 6% |
| Unemployment Rate | 5.1 | 2.5 |
Population Comparison: Palatine vs Falls church
- In Palatine, the population is higher at 65,485, compared to 14,586 in Falls church.
- Residents in Palatine have a higher median age of 39.4 years compared to 38.8 years in Falls church.
- Falls church has a higher median income of $164,536, compared to $93,383 in Palatine.
- A higher percentage of married families is found in Palatine at 44.0% compared to 43.0% in Falls church.
- The poverty level is higher in Falls church at 6%, compared to 4% in Palatine.
- The unemployment rate in Palatine is higher at 5.1%, compared to 2.5% in Falls church.
Demographics
Demographics Palatine vs Falls church provide insight into the diversity of the communities to compare.
| Demographic | Palatine | Falls church |
|---|---|---|
| Black | 5 | 5 |
| White | 57 | 65 |
| Asian | 13 | 9 |
| Hispanic | 20 | 11 |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palatine vs Falls church
- The percentage of Black residents is the same in both Palatine and Falls church at 5%.
- The percentage of White residents is higher in Falls church at 65% compared to 57% in Palatine.
- The Asian population is larger in Palatine at 13% compared to 9% in Falls church.
- The Hispanic community is larger in Palatine at 20% compared to 11% in Falls church.
- The percentage of residents identifying as two or more races is higher in Falls church at 10%, compared to 5% in Palatine.
- The percentage of American Indian residents is the same in both Palatine and Falls church at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palatine | Falls church |
|---|---|---|
| Mental Health Not Good | 12.7% | 11.9% |
| Physical Health Not Good | 8.7% | 6.5% |
| Depression | 17.0% | 19.9% |
| Smoking | 11.3% | 7.5% |
| Binge Drinking | 18.9% | 18.8% |
| Obesity | 26.8% | 30.8% |
| Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Palatine vs Falls church
- More residents in Palatine report poor mental health at 12.7% compared to 11.9% in Falls church.
- Higher depression rates are seen in Falls church at 19.9% versus 17.0% in Palatine.
- Smoking is more prevalent in Palatine at 11.3% compared to 7.5% in Falls church.
- Binge drinking is more common in Palatine at 18.9% compared to 18.8% in Falls church.
- Falls church has higher obesity rates at 30.8% compared to 26.8% in Palatine.
- Disability percentages are higher in Palatine at 9.0% 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 | Palatine | Falls church |
|---|---|---|
| No Schooling | 1.7% (1,095) | 0.3% (50) |
| High School Diploma | 11.6% (7,584) | 4.1% (597) |
| Less than High School | 12.3% (8,071) | 2.7% (388) |
| Bachelor's Degree and Higher | 35.8% (23,474) | 52.5% (7,660) |
Education Levels Comparison: Palatine vs Falls church
- A higher percentage of residents in Palatine have no formal schooling at 1.7% compared to 0.3% in Falls church.
- A higher percentage of residents in Palatine hold a high school diploma at 11.6% compared to 4.1% in Falls church.
- More residents in Palatine have less than a high school education at 12.3% 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 35.8% in Palatine.
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.