Demographics details for Melbourne beach, FL vs Monroe, NC
Population Overview
Compare main population characteristics in Melbourne beach, FL vs Monroe, NC.
| Data | Melbourne beach | Monroe |
|---|---|---|
| Population | 3,242 | 36,018 |
| Median Age | 53.5 years | 36.1 years |
| Median Income | $80,795 | $63,982 |
| Married Families | 50.0% | 36.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 4.5 | 3.9 |
Population Comparison: Melbourne beach vs Monroe
- The population in Monroe is higher at 36,018, compared to 3,242 in Melbourne beach.
- Residents in Melbourne beach have a higher median age of 53.5 years compared to 36.1 years in Monroe.
- Melbourne beach has a higher median income of $80,795 compared to $63,982 in Monroe.
- A higher percentage of married families is found in Melbourne beach at 50.0% compared to 36.0% in Monroe.
- The poverty level is higher in Monroe at 11%, compared to 8% in Melbourne beach.
- The unemployment rate in Melbourne beach is higher at 4.5%, compared to 3.9% in Monroe.
Demographics
Demographics Melbourne beach vs Monroe provide insight into the diversity of the communities to compare.
| Demographic | Melbourne beach | Monroe |
|---|---|---|
| Black | Data is updating | 22 |
| White | 86 | 41 |
| Asian | 1 | 1 |
| Hispanic | 9 | 27 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Melbourne beach vs Monroe
- In Monroe, the percentage of Black residents is higher at 22% compared to 0% in Melbourne beach.
- Melbourne beach has a higher percentage of White residents at 86% compared to 41% in Monroe.
- Both Melbourne beach and Monroe have the same percentage of Asian residents at 1%.
- Monroe has a higher percentage of Hispanic residents at 27%, compared to 9% in Melbourne beach.
- The percentage of residents identifying as two or more races is higher in Monroe at 8%, compared to 4% in Melbourne beach.
- In Monroe, the percentage of American Indian residents is higher at 1%, compared to 0% in Melbourne beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Melbourne beach | Monroe |
|---|---|---|
| Mental Health Not Good | 14.2% | 17.0% |
| Physical Health Not Good | 8.2% | 13.0% |
| Depression | 19.2% | 22.0% |
| Smoking | 13.6% | 19.0% |
| Binge Drinking | 18.2% | 15.8% |
| Obesity | 28.6% | 37.7% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Melbourne beach vs Monroe
- In Monroe, a higher percentage report poor mental health at 17.0% compared to 14.2% in Melbourne beach.
- Higher depression rates are seen in Monroe at 22.0% versus 19.2% in Melbourne beach.
- Monroe has a higher smoking rate at 19.0% compared to 13.6% in Melbourne beach.
- Binge drinking is more common in Melbourne beach at 18.2% compared to 15.8% in Monroe.
- Monroe has higher obesity rates at 37.7% compared to 28.6% in Melbourne beach.
- Disability percentages are higher in Melbourne beach at 14.0% 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 | Melbourne beach | Monroe |
|---|---|---|
| No Schooling | 0.7% (22) | 2.0% (716) |
| High School Diploma | 8.5% (275) | 14.8% (5,322) |
| Less than High School | 3.3% (108) | 20.0% (7,220) |
| Bachelor's Degree and Higher | 49.8% (1,616) | 12.7% (4,559) |
Education Levels Comparison: Melbourne beach vs Monroe
- In Monroe, a larger percentage of residents lack formal schooling at 2.0% compared to 0.7% in Melbourne beach.
- In Monroe, the rate of residents with high school diplomas is higher at 14.8% compared to 8.5% in Melbourne beach.
- The percentage of residents with less than a high school education is higher in Monroe at 20.0%, compared to 3.3% in Melbourne beach.
- A higher percentage of residents in Melbourne beach hold a bachelor's degree or higher at 49.8% 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.