Demographics details for Lauderhill, FL vs Kenosha, WI
Population Overview
Compare main population characteristics in Lauderhill, FL vs Kenosha, WI.
| Data | Lauderhill | Kenosha |
|---|---|---|
| Population | 73,633 | 98,484 |
| Median Age | 37.0 years | 36.3 years |
| Median Income | $48,523 | $64,963 |
| Married Families | 28.0% | 35.0% |
| Poverty Level | 16% | 13% |
| Unemployment Rate | 3.9 | 4.1 |
Population Comparison: Lauderhill vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 73,633 in Lauderhill.
- Residents in Lauderhill have a higher median age of 37.0 years compared to 36.3 years in Kenosha.
- Kenosha has a higher median income of $64,963, compared to $48,523 in Lauderhill.
- In Kenosha, the percentage of married families is higher at 35.0%, compared to 28.0% in Lauderhill.
- Lauderhill has a higher poverty level at 16% compared to 13% in Kenosha.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.9% in Lauderhill.
Demographics
Demographics Lauderhill vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Lauderhill | Kenosha |
|---|---|---|
| Black | 80 | 10 |
| White | 3 | 57 |
| Asian | 2 | 2 |
| Hispanic | 9 | 18 |
| Two or More Races | 6 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lauderhill vs Kenosha
- A higher percentage of Black residents are in Lauderhill at 80% compared to 10% in Kenosha.
- The percentage of White residents is higher in Kenosha at 57% compared to 3% in Lauderhill.
- Both Lauderhill and Kenosha have the same percentage of Asian residents at 2%.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 9% in Lauderhill.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 6% in Lauderhill.
- In Kenosha, 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 | Kenosha |
|---|---|---|
| Mental Health Not Good | 17.7% | 15.7% |
| Physical Health Not Good | 13.5% | 11.1% |
| Depression | 17.0% | 23.4% |
| Smoking | 22.9% | 17.1% |
| Binge Drinking | 12.1% | 22.4% |
| Obesity | 37.0% | 38.8% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Lauderhill vs Kenosha
- More residents in Lauderhill report poor mental health at 17.7% compared to 15.7% in Kenosha.
- Higher depression rates are seen in Kenosha at 23.4% versus 17.0% in Lauderhill.
- Smoking is more prevalent in Lauderhill at 22.9% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 12.1% in Lauderhill.
- Kenosha has higher obesity rates at 38.8% compared to 37.0% in Lauderhill.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% 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 | Kenosha |
|---|---|---|
| No Schooling | 2.1% (1,544) | 1.1% (1,036) |
| High School Diploma | 22.7% (16,679) | 15.4% (15,122) |
| Less than High School | 10.9% (8,046) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 13.4% (9,833) | 18.1% (17,852) |
Education Levels Comparison: Lauderhill vs Kenosha
- A higher percentage of residents in Lauderhill have no formal schooling at 2.1% compared to 1.1% in Kenosha.
- A higher percentage of residents in Lauderhill hold a high school diploma at 22.7% compared to 15.4% in Kenosha.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 10.9% in Lauderhill.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% 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.