Demographics details for Concord, NC vs Falls church, VA
Population Overview
Compare main population characteristics in Concord, NC vs Falls church, VA.
Data | Concord | Falls church |
---|---|---|
Population | 109,896 | 14,586 |
Median Age | 37.3 years | 38.8 years |
Median Income | $83,480 | $164,536 |
Married Families | 38.0% | 43.0% |
Poverty Level | 11% | 6% |
Unemployment Rate | 3.9 | 2.5 |
Population Comparison: Concord vs Falls church
- In Concord, the population is higher at 109,896, compared to 14,586 in Falls church.
- The median age in Falls church is higher at 38.8 years, compared to 37.3 years in Concord.
- Falls church has a higher median income of $164,536, compared to $83,480 in Concord.
- In Falls church, the percentage of married families is higher at 43.0%, compared to 38.0% in Concord.
- Concord has a higher poverty level at 11% compared to 6% in Falls church.
- The unemployment rate in Concord is higher at 3.9%, compared to 2.5% in Falls church.
Demographics
Demographics Concord vs Falls church provide insight into the diversity of the communities to compare.
Demographic | Concord | Falls church |
---|---|---|
Black | 21 | 5 |
White | 54 | 65 |
Asian | 6 | 9 |
Hispanic | 13 | 11 |
Two or More Races | 6 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Concord vs Falls church
- A higher percentage of Black residents are in Concord at 21% compared to 5% in Falls church.
- The percentage of White residents is higher in Falls church at 65% compared to 54% in Concord.
- In Falls church, the Asian population stands at 9%, greater than 6% in Concord.
- The Hispanic community is larger in Concord at 13% 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 6% in Concord.
- The percentage of American Indian residents is the same in both Concord and Falls church at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Concord | Falls church |
---|---|---|
Mental Health Not Good | 15.5% | 11.9% |
Physical Health Not Good | 10.8% | 6.5% |
Depression | 23.7% | 19.9% |
Smoking | 15.9% | 7.5% |
Binge Drinking | 16.8% | 18.8% |
Obesity | 33.6% | 30.8% |
Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Concord vs Falls church
- More residents in Concord report poor mental health at 15.5% compared to 11.9% in Falls church.
- Depression is more prevalent in Concord at 23.7% compared to 19.9% in Falls church.
- Smoking is more prevalent in Concord at 15.9% compared to 7.5% in Falls church.
- More residents engage in binge drinking in Falls church at 18.8% compared to 16.8% in Concord.
- Obesity rates are higher in Concord at 33.6% compared to 30.8% in Falls church.
- Disability percentages are higher in Concord 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 | Concord | Falls church |
---|---|---|
No Schooling | 0.8% (838) | 0.3% (50) |
High School Diploma | 12.6% (13,853) | 4.1% (597) |
Less than High School | 9.9% (10,845) | 2.7% (388) |
Bachelor's Degree and Higher | 25.8% (28,330) | 52.5% (7,660) |
Education Levels Comparison: Concord vs Falls church
- A higher percentage of residents in Concord have no formal schooling at 0.8% compared to 0.3% in Falls church.
- A higher percentage of residents in Concord hold a high school diploma at 12.6% compared to 4.1% in Falls church.
- More residents in Concord have less than a high school education at 9.9% 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 25.8% in Concord.
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.