Demographics details for Lauderhill, FL vs Milwaukee, WI
Population Overview
Compare main population characteristics in Lauderhill, FL vs Milwaukee, WI.
Data | Lauderhill | Milwaukee |
---|---|---|
Population | 73,633 | 563,305 |
Median Age | 37.0 years | 31.8 years |
Median Income | $48,523 | $49,733 |
Married Families | 28.0% | 23.0% |
Poverty Level | 16% | 18% |
Unemployment Rate | 3.9 | 4.8 |
Population Comparison: Lauderhill vs Milwaukee
- The population in Milwaukee is higher at 563,305, compared to 73,633 in Lauderhill.
- Residents in Lauderhill have a higher median age of 37.0 years compared to 31.8 years in Milwaukee.
- Milwaukee has a higher median income of $49,733, compared to $48,523 in Lauderhill.
- A higher percentage of married families is found in Lauderhill at 28.0% compared to 23.0% in Milwaukee.
- The poverty level is higher in Milwaukee at 18%, compared to 16% in Lauderhill.
- Milwaukee has a higher unemployment rate at 4.8% compared to 3.9% in Lauderhill.
Demographics
Demographics Lauderhill vs Milwaukee provide insight into the diversity of the communities to compare.
Demographic | Lauderhill | Milwaukee |
---|---|---|
Black | 80 | 39 |
White | 3 | 24 |
Asian | 2 | 5 |
Hispanic | 9 | 21 |
Two or More Races | 6 | 10 |
American Indian | Data is updating | 1 |
Demographics Comparison: Lauderhill vs Milwaukee
- A higher percentage of Black residents are in Lauderhill at 80% compared to 39% in Milwaukee.
- The percentage of White residents is higher in Milwaukee at 24% compared to 3% in Lauderhill.
- In Milwaukee, the Asian population stands at 5%, greater than 2% in Lauderhill.
- Milwaukee has a higher percentage of Hispanic residents at 21%, compared to 9% in Lauderhill.
- The percentage of residents identifying as two or more races is higher in Milwaukee at 10%, compared to 6% in Lauderhill.
- In Milwaukee, the percentage of American Indian residents is higher at 1%, compared to 0% in Lauderhill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lauderhill | Milwaukee |
---|---|---|
Mental Health Not Good | 17.7% | 17.5% |
Physical Health Not Good | 13.5% | 12.7% |
Depression | 17.0% | 22.9% |
Smoking | 22.9% | 21.0% |
Binge Drinking | 12.1% | 21.3% |
Obesity | 37.0% | 41.6% |
Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Lauderhill vs Milwaukee
- More residents in Lauderhill report poor mental health at 17.7% compared to 17.5% in Milwaukee.
- Higher depression rates are seen in Milwaukee at 22.9% versus 17.0% in Lauderhill.
- Smoking is more prevalent in Lauderhill at 22.9% compared to 21.0% in Milwaukee.
- More residents engage in binge drinking in Milwaukee at 21.3% compared to 12.1% in Lauderhill.
- Milwaukee has higher obesity rates at 41.6% compared to 37.0% in Lauderhill.
- There is a higher percentage of disabled individuals in Milwaukee at 13.0% compared to 12.0% in Lauderhill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lauderhill | Milwaukee |
---|---|---|
No Schooling | 2.1% (1,544) | 1.3% (7,509) |
High School Diploma | 22.7% (16,679) | 16.7% (93,798) |
Less than High School | 10.9% (8,046) | 14.4% (81,002) |
Bachelor's Degree and Higher | 13.4% (9,833) | 16.6% (93,378) |
Education Levels Comparison: Lauderhill vs Milwaukee
- A higher percentage of residents in Lauderhill have no formal schooling at 2.1% compared to 1.3% in Milwaukee.
- A higher percentage of residents in Lauderhill hold a high school diploma at 22.7% compared to 16.7% in Milwaukee.
- The percentage of residents with less than a high school education is higher in Milwaukee at 14.4%, compared to 10.9% in Lauderhill.
- In Milwaukee, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 13.4% in Lauderhill.
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.