Demographics details for Kenosha, WI vs Linden, PA
Population Overview
Compare main population characteristics in Kenosha, WI vs Linden, PA.
Data | Kenosha | Linden |
---|---|---|
Population | 98,484 | 700 |
Median Age | 36.3 years | 36.0 years |
Median Income | $64,963 | $50,000 |
Married Families | 35.0% | 150.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.1 | 5.0 |
Population Comparison: Kenosha vs Linden
- In Kenosha, the population is higher at 98,484, compared to 700 in Linden.
- Residents in Kenosha have a higher median age of 36.3 years compared to 36.0 years in Linden.
- Kenosha has a higher median income of $64,963 compared to $50,000 in Linden.
- In Linden, the percentage of married families is higher at 150.0%, compared to 35.0% in Kenosha.
- Kenosha has a higher poverty level at 13% compared to 10% in Linden.
- Linden has a higher unemployment rate at 5.0% compared to 4.1% in Kenosha.
Demographics
Demographics Kenosha vs Linden provide insight into the diversity of the communities to compare.
Demographic | Kenosha | Linden |
---|---|---|
Black | 10 | 5 |
White | 57 | 85 |
Asian | 2 | 5 |
Hispanic | 18 | Data is updating |
Two or More Races | 12 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Kenosha vs Linden
- A higher percentage of Black residents are in Kenosha at 10% compared to 5% in Linden.
- The percentage of White residents is higher in Linden at 85% compared to 57% in Kenosha.
- In Linden, the Asian population stands at 5%, greater than 2% in Kenosha.
- The Hispanic community is larger in Kenosha at 18% compared to 0% in Linden.
- More residents identify as two or more races in Kenosha at 12% compared to 5% in Linden.
- A greater percentage of American Indian residents live in Kenosha at 1% compared to 0% in Linden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kenosha | Linden |
---|---|---|
Mental Health Not Good | 15.7% | Data is updating% |
Physical Health Not Good | 11.1% | Data is updating% |
Depression | 23.4% | Data is updating% |
Smoking | 17.1% | Data is updating% |
Binge Drinking | 22.4% | Data is updating% |
Obesity | 38.8% | Data is updating% |
Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Kenosha vs Linden
- More residents in Kenosha report poor mental health at 15.7% compared to 0.0% in Linden.
- Depression is more prevalent in Kenosha at 23.4% compared to 0.0% in Linden.
- Smoking is more prevalent in Kenosha at 17.1% compared to 0.0% in Linden.
- Binge drinking is more common in Kenosha at 22.4% compared to 0.0% in Linden.
- Obesity rates are higher in Kenosha at 38.8% compared to 0.0% in Linden.
- Disability percentages are higher in Kenosha at 14.0% compared to 0.0% in Linden.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kenosha | Linden |
---|---|---|
No Schooling | 1.1% (1,036) | 0.0% (Data is updating) |
High School Diploma | 15.4% (15,122) | 0.0% (Data is updating) |
Less than High School | 12.9% (12,739) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 18.1% (17,852) | 0.0% (Data is updating) |
Education Levels Comparison: Kenosha vs Linden
- A higher percentage of residents in Kenosha have no formal schooling at 1.1% compared to 0.0% in Linden.
- A higher percentage of residents in Kenosha hold a high school diploma at 15.4% compared to 0.0% in Linden.
- More residents in Kenosha have less than a high school education at 12.9% compared to 0.0% in Linden.
- A higher percentage of residents in Kenosha hold a bachelor's degree or higher at 18.1% compared to 0.0% in Linden.
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.