Demographics details for Staunton, VA vs Monroe, NC
Population Overview
Compare main population characteristics in Staunton, VA vs Monroe, NC.
Data | Staunton | Monroe |
---|---|---|
Population | 25,904 | 36,018 |
Median Age | 41.0 years | 36.1 years |
Median Income | $59,731 | $63,982 |
Married Families | 35.0% | 36.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 3.0 | 3.9 |
Population Comparison: Staunton vs Monroe
- The population in Monroe is higher at 36,018, compared to 25,904 in Staunton.
- Residents in Staunton have a higher median age of 41.0 years compared to 36.1 years in Monroe.
- Monroe has a higher median income of $63,982, compared to $59,731 in Staunton.
- In Monroe, the percentage of married families is higher at 36.0%, compared to 35.0% in Staunton.
- The poverty level is higher in Monroe at 11%, compared to 10% in Staunton.
- Monroe has a higher unemployment rate at 3.9% compared to 3.0% in Staunton.
Demographics
Demographics Staunton vs Monroe provide insight into the diversity of the communities to compare.
Demographic | Staunton | Monroe |
---|---|---|
Black | 11 | 22 |
White | 79 | 41 |
Asian | 1 | 1 |
Hispanic | 4 | 27 |
Two or More Races | 5 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Staunton vs Monroe
- In Monroe, the percentage of Black residents is higher at 22% compared to 11% in Staunton.
- Staunton has a higher percentage of White residents at 79% compared to 41% in Monroe.
- Both Staunton and Monroe have the same percentage of Asian residents at 1%.
- Monroe has a higher percentage of Hispanic residents at 27%, compared to 4% in Staunton.
- The percentage of residents identifying as two or more races is higher in Monroe at 8%, compared to 5% in Staunton.
- In Monroe, the percentage of American Indian residents is higher at 1%, compared to 0% in Staunton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Staunton | Monroe |
---|---|---|
Mental Health Not Good | 16.8% | 17.0% |
Physical Health Not Good | 10.6% | 13.0% |
Depression | 24.3% | 22.0% |
Smoking | 16.3% | 19.0% |
Binge Drinking | 17.5% | 15.8% |
Obesity | 35.2% | 37.7% |
Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Staunton vs Monroe
- In Monroe, a higher percentage report poor mental health at 17.0% compared to 16.8% in Staunton.
- Depression is more prevalent in Staunton at 24.3% compared to 22.0% in Monroe.
- Monroe has a higher smoking rate at 19.0% compared to 16.3% in Staunton.
- Binge drinking is more common in Staunton at 17.5% compared to 15.8% in Monroe.
- Monroe has higher obesity rates at 37.7% compared to 35.2% in Staunton.
- Disability percentages are higher in Staunton at 15.0% compared to 10.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Staunton | Monroe |
---|---|---|
No Schooling | 0.6% (163) | 2.0% (716) |
High School Diploma | 17.4% (4,506) | 14.8% (5,322) |
Less than High School | 9.5% (2,465) | 20.0% (7,220) |
Bachelor's Degree and Higher | 23.8% (6,161) | 12.7% (4,559) |
Education Levels Comparison: Staunton vs Monroe
- In Monroe, a larger percentage of residents lack formal schooling at 2.0% compared to 0.6% in Staunton.
- A higher percentage of residents in Staunton hold a high school diploma at 17.4% compared to 14.8% in Monroe.
- The percentage of residents with less than a high school education is higher in Monroe at 20.0%, compared to 9.5% in Staunton.
- A higher percentage of residents in Staunton hold a bachelor's degree or higher at 23.8% compared to 12.7% 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.