Demographics details for Falls church, VA vs Eau claire, WI
Population Overview
Compare main population characteristics in Falls church, VA vs Eau claire, WI.
Data | Falls church | Eau claire |
---|---|---|
Population | 14,586 | 69,737 |
Median Age | 38.8 years | 32.8 years |
Median Income | $164,536 | $63,882 |
Married Families | 43.0% | 34.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Falls church vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 14,586 in Falls church.
- Residents in Falls church have a higher median age of 38.8 years compared to 32.8 years in Eau claire.
- Falls church has a higher median income of $164,536 compared to $63,882 in Eau claire.
- A higher percentage of married families is found in Falls church at 43.0% compared to 34.0% in Eau claire.
- The poverty level is higher in Eau claire at 10%, compared to 6% in Falls church.
- Eau claire has a higher unemployment rate at 3.0% compared to 2.5% in Falls church.
Demographics
Demographics Falls church vs Eau claire provide insight into the diversity of the communities to compare.
Demographic | Falls church | Eau claire |
---|---|---|
Black | 5 | 1 |
White | 65 | 86 |
Asian | 9 | 6 |
Hispanic | 11 | 3 |
Two or More Races | 10 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls church vs Eau claire
- A higher percentage of Black residents are in Falls church at 5% compared to 1% in Eau claire.
- The percentage of White residents is higher in Eau claire at 86% compared to 65% in Falls church.
- The Asian population is larger in Falls church at 9% compared to 6% in Eau claire.
- The Hispanic community is larger in Falls church at 11% compared to 3% in Eau claire.
- More residents identify as two or more races in Falls church at 10% compared to 4% in Eau claire.
- The percentage of American Indian residents is the same in both Falls church and Eau claire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Falls church | Eau claire |
---|---|---|
Mental Health Not Good | 11.9% | 15.3% |
Physical Health Not Good | 6.5% | 9.8% |
Depression | 19.9% | 23.6% |
Smoking | 7.5% | 15.2% |
Binge Drinking | 18.8% | 24.8% |
Obesity | 30.8% | 32.2% |
Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Falls church vs Eau claire
- In Eau claire, a higher percentage report poor mental health at 15.3% compared to 11.9% in Falls church.
- Higher depression rates are seen in Eau claire at 23.6% versus 19.9% in Falls church.
- Eau claire has a higher smoking rate at 15.2% compared to 7.5% in Falls church.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 18.8% in Falls church.
- Eau claire has higher obesity rates at 32.2% compared to 30.8% in Falls church.
- There is a higher percentage of disabled individuals in Eau claire at 13.0% 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 | Eau claire |
---|---|---|
No Schooling | 0.3% (50) | 0.5% (340) |
High School Diploma | 4.1% (597) | 14.2% (9,934) |
Less than High School | 2.7% (388) | 3.7% (2,573) |
Bachelor's Degree and Higher | 52.5% (7,660) | 21.6% (15,073) |
Education Levels Comparison: Falls church vs Eau claire
- In Eau claire, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Falls church.
- In Eau claire, the rate of residents with high school diplomas is higher at 14.2% compared to 4.1% in Falls church.
- The percentage of residents with less than a high school education is higher in Eau claire at 3.7%, 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 21.6% in Eau claire.
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.