Demographics details for Falls church, VA vs Monroe, LA
Population Overview
Compare main population characteristics in Falls church, VA vs Monroe, LA.
| Data | Falls church | Monroe |
|---|---|---|
| Population | 14,586 | 46,820 |
| Median Age | 38.8 years | 34.3 years |
| Median Income | $164,536 | $36,550 |
| Married Families | 43.0% | 23.0% |
| Poverty Level | 6% | 24% |
| Unemployment Rate | 2.5 | 5.9 |
Population Comparison: Falls church vs Monroe
- The population in Monroe is higher at 46,820, compared to 14,586 in Falls church.
- Residents in Falls church have a higher median age of 38.8 years compared to 34.3 years in Monroe.
- Falls church has a higher median income of $164,536 compared to $36,550 in Monroe.
- A higher percentage of married families is found in Falls church at 43.0% compared to 23.0% in Monroe.
- The poverty level is higher in Monroe at 24%, compared to 6% in Falls church.
- Monroe has a higher unemployment rate at 5.9% compared to 2.5% in Falls church.
Demographics
Demographics Falls church vs Monroe provide insight into the diversity of the communities to compare.
| Demographic | Falls church | Monroe |
|---|---|---|
| Black | 5 | 62 |
| White | 65 | 33 |
| Asian | 9 | 2 |
| Hispanic | 11 | 2 |
| Two or More Races | 10 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Falls church vs Monroe
- In Monroe, the percentage of Black residents is higher at 62% compared to 5% in Falls church.
- Falls church has a higher percentage of White residents at 65% compared to 33% in Monroe.
- The Asian population is larger in Falls church at 9% compared to 2% in Monroe.
- The Hispanic community is larger in Falls church at 11% compared to 2% in Monroe.
- More residents identify as two or more races in Falls church at 10% compared to 1% in Monroe.
- The percentage of American Indian residents is the same in both Falls church and Monroe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falls church | Monroe |
|---|---|---|
| Mental Health Not Good | 11.9% | 21.1% |
| Physical Health Not Good | 6.5% | 16.0% |
| Depression | 19.9% | 23.8% |
| Smoking | 7.5% | 26.0% |
| Binge Drinking | 18.8% | 14.3% |
| Obesity | 30.8% | 41.9% |
| Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Falls church vs Monroe
- In Monroe, a higher percentage report poor mental health at 21.1% compared to 11.9% in Falls church.
- Higher depression rates are seen in Monroe at 23.8% versus 19.9% in Falls church.
- Monroe has a higher smoking rate at 26.0% compared to 7.5% in Falls church.
- Binge drinking is more common in Falls church at 18.8% compared to 14.3% in Monroe.
- Monroe has higher obesity rates at 41.9% compared to 30.8% in Falls church.
- There is a higher percentage of disabled individuals in Monroe 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 | Monroe |
|---|---|---|
| No Schooling | 0.3% (50) | 0.7% (320) |
| High School Diploma | 4.1% (597) | 16.8% (7,877) |
| Less than High School | 2.7% (388) | 10.9% (5,106) |
| Bachelor's Degree and Higher | 52.5% (7,660) | 17.1% (8,014) |
Education Levels Comparison: Falls church vs Monroe
- In Monroe, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Falls church.
- In Monroe, the rate of residents with high school diplomas is higher at 16.8% compared to 4.1% in Falls church.
- The percentage of residents with less than a high school education is higher in Monroe at 10.9%, 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 17.1% in Monroe.
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.