Demographics details for Falls church, VA vs Sparta, IL
Population Overview
Compare main population characteristics in Falls church, VA vs Sparta, IL.
Data | Falls church | Sparta |
---|---|---|
Population | 14,586 | 4,063 |
Median Age | 38.8 years | 40.5 years |
Median Income | $164,536 | $60,407 |
Married Families | 43.0% | 37.0% |
Poverty Level | 6% | 9% |
Unemployment Rate | 2.5 | 3.1 |
Population Comparison: Falls church vs Sparta
- In Falls church, the population is higher at 14,586, compared to 4,063 in Sparta.
- The median age in Sparta is higher at 40.5 years, compared to 38.8 years in Falls church.
- Falls church has a higher median income of $164,536 compared to $60,407 in Sparta.
- A higher percentage of married families is found in Falls church at 43.0% compared to 37.0% in Sparta.
- The poverty level is higher in Sparta at 9%, compared to 6% in Falls church.
- Sparta has a higher unemployment rate at 3.1% compared to 2.5% in Falls church.
Demographics
Demographics Falls church vs Sparta provide insight into the diversity of the communities to compare.
Demographic | Falls church | Sparta |
---|---|---|
Black | 5 | 13 |
White | 65 | 79 |
Asian | 9 | Data is updating |
Hispanic | 11 | 2 |
Two or More Races | 10 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls church vs Sparta
- In Sparta, the percentage of Black residents is higher at 13% compared to 5% in Falls church.
- The percentage of White residents is higher in Sparta at 79% compared to 65% in Falls church.
- The Asian population is larger in Falls church at 9% compared to 0% in Sparta.
- The Hispanic community is larger in Falls church at 11% compared to 2% in Sparta.
- More residents identify as two or more races in Falls church at 10% compared to 6% in Sparta.
- The percentage of American Indian residents is the same in both Falls church and Sparta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Falls church | Sparta |
---|---|---|
Mental Health Not Good | 11.9% | 17.7% |
Physical Health Not Good | 6.5% | 12.5% |
Depression | 19.9% | 22.3% |
Smoking | 7.5% | 20.0% |
Binge Drinking | 18.8% | 16.6% |
Obesity | 30.8% | 39.6% |
Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Falls church vs Sparta
- In Sparta, a higher percentage report poor mental health at 17.7% compared to 11.9% in Falls church.
- Higher depression rates are seen in Sparta at 22.3% versus 19.9% in Falls church.
- Sparta has a higher smoking rate at 20.0% compared to 7.5% in Falls church.
- Binge drinking is more common in Falls church at 18.8% compared to 16.6% in Sparta.
- Sparta has higher obesity rates at 39.6% compared to 30.8% in Falls church.
- There is a higher percentage of disabled individuals in Sparta 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 | Sparta |
---|---|---|
No Schooling | 0.3% (50) | 0.6% (24) |
High School Diploma | 4.1% (597) | 20.3% (826) |
Less than High School | 2.7% (388) | 9.4% (383) |
Bachelor's Degree and Higher | 52.5% (7,660) | 13.8% (560) |
Education Levels Comparison: Falls church vs Sparta
- In Sparta, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Falls church.
- In Sparta, the rate of residents with high school diplomas is higher at 20.3% compared to 4.1% in Falls church.
- The percentage of residents with less than a high school education is higher in Sparta at 9.4%, 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 13.8% in Sparta.
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.