Demographics details for Monroe, NC vs Winchester, VA
Population Overview
Compare main population characteristics in Monroe, NC vs Winchester, VA.
| Data | Monroe | Winchester |
|---|---|---|
| Population | 36,018 | 27,936 |
| Median Age | 36.1 years | 36.6 years |
| Median Income | $63,982 | $62,495 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 3.9 | 3.1 |
Population Comparison: Monroe vs Winchester
- In Monroe, the population is higher at 36,018, compared to 27,936 in Winchester.
- The median age in Winchester is higher at 36.6 years, compared to 36.1 years in Monroe.
- Monroe has a higher median income of $63,982 compared to $62,495 in Winchester.
- A higher percentage of married families is found in Monroe at 36.0% compared to 33.0% in Winchester.
- Monroe has a higher poverty level at 11% compared to 10% in Winchester.
- The unemployment rate in Monroe is higher at 3.9%, compared to 3.1% in Winchester.
Demographics
Demographics Monroe vs Winchester provide insight into the diversity of the communities to compare.
| Demographic | Monroe | Winchester |
|---|---|---|
| Black | 22 | 10 |
| White | 41 | 60 |
| Asian | 1 | 2 |
| Hispanic | 27 | 19 |
| Two or More Races | 8 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Monroe vs Winchester
- A higher percentage of Black residents are in Monroe at 22% compared to 10% in Winchester.
- The percentage of White residents is higher in Winchester at 60% compared to 41% in Monroe.
- In Winchester, the Asian population stands at 2%, greater than 1% in Monroe.
- The Hispanic community is larger in Monroe at 27% compared to 19% in Winchester.
- The percentage of residents identifying as two or more races is higher in Winchester at 9%, compared to 8% in Monroe.
- A greater percentage of American Indian residents live in Monroe at 1% compared to 0% in Winchester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monroe | Winchester |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.3% |
| Physical Health Not Good | 13.0% | 11.1% |
| Depression | 22.0% | 22.7% |
| Smoking | 19.0% | 15.8% |
| Binge Drinking | 15.8% | 16.5% |
| Obesity | 37.7% | 38.0% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Monroe vs Winchester
- More residents in Monroe report poor mental health at 17.0% compared to 16.3% in Winchester.
- Higher depression rates are seen in Winchester at 22.7% versus 22.0% in Monroe.
- Smoking is more prevalent in Monroe at 19.0% compared to 15.8% in Winchester.
- More residents engage in binge drinking in Winchester at 16.5% compared to 15.8% in Monroe.
- Winchester has higher obesity rates at 38.0% compared to 37.7% in Monroe.
- There is a higher percentage of disabled individuals in Winchester 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 | Monroe | Winchester |
|---|---|---|
| No Schooling | 2.0% (716) | 0.7% (207) |
| High School Diploma | 14.8% (5,322) | 15.0% (4,203) |
| Less than High School | 20.0% (7,220) | 15.9% (4,448) |
| Bachelor's Degree and Higher | 12.7% (4,559) | 21.7% (6,065) |
Education Levels Comparison: Monroe vs Winchester
- A higher percentage of residents in Monroe have no formal schooling at 2.0% compared to 0.7% in Winchester.
- In Winchester, the rate of residents with high school diplomas is higher at 15.0% compared to 14.8% in Monroe.
- More residents in Monroe have less than a high school education at 20.0% compared to 15.9% in Winchester.
- In Winchester, a larger share of residents have a bachelor's degree or higher at 21.7% 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.