Demographics details for Falls church, VA vs Kosciusko, MS
Population Overview
Compare main population characteristics in Falls church, VA vs Kosciusko, MS.
Data | Falls church | Kosciusko |
---|---|---|
Population | 14,586 | 6,922 |
Median Age | 38.8 years | 36.2 years |
Median Income | $164,536 | $33,719 |
Married Families | 43.0% | 25.0% |
Poverty Level | 6% | 22% |
Unemployment Rate | 2.5 | 6.5 |
Population Comparison: Falls church vs Kosciusko
- In Falls church, the population is higher at 14,586, compared to 6,922 in Kosciusko.
- Residents in Falls church have a higher median age of 38.8 years compared to 36.2 years in Kosciusko.
- Falls church has a higher median income of $164,536 compared to $33,719 in Kosciusko.
- A higher percentage of married families is found in Falls church at 43.0% compared to 25.0% in Kosciusko.
- The poverty level is higher in Kosciusko at 22%, compared to 6% in Falls church.
- Kosciusko has a higher unemployment rate at 6.5% compared to 2.5% in Falls church.
Demographics
Demographics Falls church vs Kosciusko provide insight into the diversity of the communities to compare.
Demographic | Falls church | Kosciusko |
---|---|---|
Black | 5 | 53 |
White | 65 | 42 |
Asian | 9 | Data is updating |
Hispanic | 11 | 2 |
Two or More Races | 10 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls church vs Kosciusko
- In Kosciusko, the percentage of Black residents is higher at 53% compared to 5% in Falls church.
- Falls church has a higher percentage of White residents at 65% compared to 42% in Kosciusko.
- The Asian population is larger in Falls church at 9% compared to 0% in Kosciusko.
- The Hispanic community is larger in Falls church at 11% compared to 2% in Kosciusko.
- More residents identify as two or more races in Falls church at 10% compared to 3% in Kosciusko.
- The percentage of American Indian residents is the same in both Falls church and Kosciusko at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Falls church | Kosciusko |
---|---|---|
Mental Health Not Good | 11.9% | 19.8% |
Physical Health Not Good | 6.5% | 16.2% |
Depression | 19.9% | 22.8% |
Smoking | 7.5% | 26.1% |
Binge Drinking | 18.8% | 11.3% |
Obesity | 30.8% | 46.0% |
Disability Percentage | 7.0% | 18.0% |
Health Statistics Comparison: Falls church vs Kosciusko
- In Kosciusko, a higher percentage report poor mental health at 19.8% compared to 11.9% in Falls church.
- Higher depression rates are seen in Kosciusko at 22.8% versus 19.9% in Falls church.
- Kosciusko has a higher smoking rate at 26.1% compared to 7.5% in Falls church.
- Binge drinking is more common in Falls church at 18.8% compared to 11.3% in Kosciusko.
- Kosciusko has higher obesity rates at 46.0% compared to 30.8% in Falls church.
- There is a higher percentage of disabled individuals in Kosciusko at 18.0% 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 | Kosciusko |
---|---|---|
No Schooling | 0.3% (50) | 0.6% (39) |
High School Diploma | 4.1% (597) | 18.4% (1,276) |
Less than High School | 2.7% (388) | 9.0% (624) |
Bachelor's Degree and Higher | 52.5% (7,660) | 12.8% (886) |
Education Levels Comparison: Falls church vs Kosciusko
- In Kosciusko, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Falls church.
- In Kosciusko, the rate of residents with high school diplomas is higher at 18.4% compared to 4.1% in Falls church.
- The percentage of residents with less than a high school education is higher in Kosciusko at 9.0%, 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 12.8% in Kosciusko.
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.