Demographics details for Fernley, NV vs Melbourne beach, FL
Population Overview
Compare main population characteristics in Fernley, NV vs Melbourne beach, FL.
Data | Fernley | Melbourne beach |
---|---|---|
Population | 24,261 | 3,242 |
Median Age | 35.9 years | 53.5 years |
Median Income | $84,025 | $80,795 |
Married Families | 40.0% | 50.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Fernley vs Melbourne beach
- In Fernley, the population is higher at 24,261, compared to 3,242 in Melbourne beach.
- The median age in Melbourne beach is higher at 53.5 years, compared to 35.9 years in Fernley.
- Fernley has a higher median income of $84,025 compared to $80,795 in Melbourne beach.
- In Melbourne beach, the percentage of married families is higher at 50.0%, compared to 40.0% in Fernley.
- The poverty level is higher in Melbourne beach at 8%, compared to 5% in Fernley.
- Melbourne beach has a higher unemployment rate at 4.5% compared to 4.2% in Fernley.
Demographics
Demographics Fernley vs Melbourne beach provide insight into the diversity of the communities to compare.
Demographic | Fernley | Melbourne beach |
---|---|---|
Black | 2 | Data is updating |
White | 68 | 86 |
Asian | 1 | 1 |
Hispanic | 17 | 9 |
Two or More Races | 10 | 4 |
American Indian | 2 | Data is updating |
Demographics Comparison: Fernley vs Melbourne beach
- A higher percentage of Black residents are in Fernley at 2% compared to 0% in Melbourne beach.
- The percentage of White residents is higher in Melbourne beach at 86% compared to 68% in Fernley.
- Both Fernley and Melbourne beach have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Fernley at 17% compared to 9% in Melbourne beach.
- More residents identify as two or more races in Fernley at 10% compared to 4% in Melbourne beach.
- A greater percentage of American Indian residents live in Fernley at 2% compared to 0% in Melbourne beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fernley | Melbourne beach |
---|---|---|
Mental Health Not Good | 18.7% | 14.2% |
Physical Health Not Good | 12.6% | 8.2% |
Depression | 22.3% | 19.2% |
Smoking | 19.2% | 13.6% |
Binge Drinking | 17.4% | 18.2% |
Obesity | 36.1% | 28.6% |
Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Fernley vs Melbourne beach
- More residents in Fernley report poor mental health at 18.7% compared to 14.2% in Melbourne beach.
- Depression is more prevalent in Fernley at 22.3% compared to 19.2% in Melbourne beach.
- Smoking is more prevalent in Fernley at 19.2% compared to 13.6% in Melbourne beach.
- More residents engage in binge drinking in Melbourne beach at 18.2% compared to 17.4% in Fernley.
- Obesity rates are higher in Fernley at 36.1% compared to 28.6% in Melbourne beach.
- There is a higher percentage of disabled individuals in Melbourne beach at 14.0% compared to 12.0% in Fernley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fernley | Melbourne beach |
---|---|---|
No Schooling | 1.0% (237) | 0.7% (22) |
High School Diploma | 19.6% (4,750) | 8.5% (275) |
Less than High School | 12.9% (3,133) | 3.3% (108) |
Bachelor's Degree and Higher | 9.7% (2,351) | 49.8% (1,616) |
Education Levels Comparison: Fernley vs Melbourne beach
- A higher percentage of residents in Fernley have no formal schooling at 1.0% compared to 0.7% in Melbourne beach.
- A higher percentage of residents in Fernley hold a high school diploma at 19.6% compared to 8.5% in Melbourne beach.
- More residents in Fernley have less than a high school education at 12.9% compared to 3.3% in Melbourne beach.
- In Melbourne beach, a larger share of residents have a bachelor's degree or higher at 49.8% compared to 9.7% in Fernley.
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.