Demographics details for Melbourne beach, FL vs Lawton, OK
Population Overview
Compare main population characteristics in Melbourne beach, FL vs Lawton, OK.
Data | Melbourne beach | Lawton |
---|---|---|
Population | 3,242 | 91,542 |
Median Age | 53.5 years | 31.9 years |
Median Income | $80,795 | $51,561 |
Married Families | 50.0% | 31.0% |
Poverty Level | 8% | 14% |
Unemployment Rate | 4.5 | 4.4 |
Population Comparison: Melbourne beach vs Lawton
- The population in Lawton is higher at 91,542, compared to 3,242 in Melbourne beach.
- Residents in Melbourne beach have a higher median age of 53.5 years compared to 31.9 years in Lawton.
- Melbourne beach has a higher median income of $80,795 compared to $51,561 in Lawton.
- A higher percentage of married families is found in Melbourne beach at 50.0% compared to 31.0% in Lawton.
- The poverty level is higher in Lawton at 14%, compared to 8% in Melbourne beach.
- The unemployment rate in Melbourne beach is higher at 4.5%, compared to 4.4% in Lawton.
Demographics
Demographics Melbourne beach vs Lawton provide insight into the diversity of the communities to compare.
Demographic | Melbourne beach | Lawton |
---|---|---|
Black | Data is updating | 19 |
White | 86 | 42 |
Asian | 1 | 3 |
Hispanic | 9 | 16 |
Two or More Races | 4 | 15 |
American Indian | Data is updating | 5 |
Demographics Comparison: Melbourne beach vs Lawton
- In Lawton, the percentage of Black residents is higher at 19% compared to 0% in Melbourne beach.
- Melbourne beach has a higher percentage of White residents at 86% compared to 42% in Lawton.
- In Lawton, the Asian population stands at 3%, greater than 1% in Melbourne beach.
- Lawton has a higher percentage of Hispanic residents at 16%, compared to 9% in Melbourne beach.
- The percentage of residents identifying as two or more races is higher in Lawton at 15%, compared to 4% in Melbourne beach.
- In Lawton, the percentage of American Indian residents is higher at 5%, compared to 0% in Melbourne beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Melbourne beach | Lawton |
---|---|---|
Mental Health Not Good | 14.2% | 18.1% |
Physical Health Not Good | 8.2% | 13.7% |
Depression | 19.2% | 25.9% |
Smoking | 13.6% | 21.9% |
Binge Drinking | 18.2% | 14.7% |
Obesity | 28.6% | 46.4% |
Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Melbourne beach vs Lawton
- In Lawton, a higher percentage report poor mental health at 18.1% compared to 14.2% in Melbourne beach.
- Higher depression rates are seen in Lawton at 25.9% versus 19.2% in Melbourne beach.
- Lawton has a higher smoking rate at 21.9% compared to 13.6% in Melbourne beach.
- Binge drinking is more common in Melbourne beach at 18.2% compared to 14.7% in Lawton.
- Lawton has higher obesity rates at 46.4% compared to 28.6% in Melbourne beach.
- There is a higher percentage of disabled individuals in Lawton at 17.0% compared to 14.0% in Melbourne beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Melbourne beach | Lawton |
---|---|---|
No Schooling | 0.7% (22) | 0.7% (596) |
High School Diploma | 8.5% (275) | 16.4% (15,019) |
Less than High School | 3.3% (108) | 11.1% (10,167) |
Bachelor's Degree and Higher | 49.8% (1,616) | 14.1% (12,935) |
Education Levels Comparison: Melbourne beach vs Lawton
- The percentage of residents with no formal schooling is the same in both Melbourne beach and Lawton at 0.7%.
- In Lawton, the rate of residents with high school diplomas is higher at 16.4% compared to 8.5% in Melbourne beach.
- The percentage of residents with less than a high school education is higher in Lawton at 11.1%, 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 14.1% in Lawton.
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.