Demographics details for Winona lake, IN vs Falls church, VA
Population Overview
Compare main population characteristics in Winona lake, IN vs Falls church, VA.
Data | Winona lake | Falls church |
---|---|---|
Population | 5,106 | 14,586 |
Median Age | 28.9 years | 38.8 years |
Median Income | $77,305 | $164,536 |
Married Families | 36.0% | 43.0% |
Poverty Level | 5% | 6% |
Unemployment Rate | 2.5 | 2.5 |
Population Comparison: Winona lake vs Falls church
- The population in Falls church is higher at 14,586, compared to 5,106 in Winona lake.
- The median age in Falls church is higher at 38.8 years, compared to 28.9 years in Winona lake.
- Falls church has a higher median income of $164,536, compared to $77,305 in Winona lake.
- In Falls church, the percentage of married families is higher at 43.0%, compared to 36.0% in Winona lake.
- The poverty level is higher in Falls church at 6%, compared to 5% in Winona lake.
- The unemployment rate is the same in both Winona lake and Falls church at 2.5%.
Demographics
Demographics Winona lake vs Falls church provide insight into the diversity of the communities to compare.
Demographic | Winona lake | Falls church |
---|---|---|
Black | 1 | 5 |
White | 79 | 65 |
Asian | 1 | 9 |
Hispanic | 14 | 11 |
Two or More Races | 5 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona lake vs Falls church
- In Falls church, the percentage of Black residents is higher at 5% compared to 1% in Winona lake.
- Winona lake has a higher percentage of White residents at 79% compared to 65% in Falls church.
- In Falls church, the Asian population stands at 9%, greater than 1% in Winona lake.
- The Hispanic community is larger in Winona lake at 14% 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 Winona lake.
- The percentage of American Indian residents is the same in both Winona lake and Falls church at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winona lake | Falls church |
---|---|---|
Mental Health Not Good | 15.7% | 11.9% |
Physical Health Not Good | 9.8% | 6.5% |
Depression | 24.7% | 19.9% |
Smoking | 16.3% | 7.5% |
Binge Drinking | 18.1% | 18.8% |
Obesity | 35.6% | 30.8% |
Disability Percentage | 8.0% | 7.0% |
Health Statistics Comparison: Winona lake vs Falls church
- More residents in Winona lake report poor mental health at 15.7% compared to 11.9% in Falls church.
- Depression is more prevalent in Winona lake at 24.7% compared to 19.9% in Falls church.
- Smoking is more prevalent in Winona lake at 16.3% compared to 7.5% in Falls church.
- More residents engage in binge drinking in Falls church at 18.8% compared to 18.1% in Winona lake.
- Obesity rates are higher in Winona lake at 35.6% compared to 30.8% in Falls church.
- Disability percentages are higher in Winona lake at 8.0% 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 | Winona lake | Falls church |
---|---|---|
No Schooling | 0.3% (17) | 0.3% (50) |
High School Diploma | 9.5% (483) | 4.1% (597) |
Less than High School | 4.0% (205) | 2.7% (388) |
Bachelor's Degree and Higher | 32.4% (1,654) | 52.5% (7,660) |
Education Levels Comparison: Winona lake vs Falls church
- The percentage of residents with no formal schooling is the same in both Winona lake and Falls church at 0.3%.
- A higher percentage of residents in Winona lake hold a high school diploma at 9.5% compared to 4.1% in Falls church.
- More residents in Winona lake have less than a high school education at 4.0% 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 32.4% in Winona lake.
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.