Demographics details for Kenosha, WI vs Baltimore, MD
Population Overview
Compare main population characteristics in Kenosha, WI vs Baltimore, MD.
| Data | Kenosha | Baltimore |
|---|---|---|
| Population | 98,484 | 569,931 |
| Median Age | 36.3 years | 36.0 years |
| Median Income | $64,963 | $58,349 |
| Married Families | 35.0% | 23.0% |
| Poverty Level | 13% | 16% |
| Unemployment Rate | 4.1 | 4.3 |
Population Comparison: Kenosha vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 98,484 in Kenosha.
- Residents in Kenosha have a higher median age of 36.3 years compared to 36.0 years in Baltimore.
- Kenosha has a higher median income of $64,963 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Kenosha at 35.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 13% in Kenosha.
- Baltimore has a higher unemployment rate at 4.3% compared to 4.1% in Kenosha.
Demographics
Demographics Kenosha vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Kenosha | Baltimore |
|---|---|---|
| Black | 10 | 63 |
| White | 57 | 23 |
| Asian | 2 | 3 |
| Hispanic | 18 | 6 |
| Two or More Races | 12 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kenosha vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 10% in Kenosha.
- Kenosha has a higher percentage of White residents at 57% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 2% in Kenosha.
- The Hispanic community is larger in Kenosha at 18% compared to 6% in Baltimore.
- More residents identify as two or more races in Kenosha at 12% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Kenosha at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kenosha | Baltimore |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.9% |
| Physical Health Not Good | 11.1% | 12.3% |
| Depression | 23.4% | 20.2% |
| Smoking | 17.1% | 19.8% |
| Binge Drinking | 22.4% | 15.4% |
| Obesity | 38.8% | 37.1% |
| Disability Percentage | 14.0% | 16.0% |
Health Statistics Comparison: Kenosha vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 15.7% in Kenosha.
- Depression is more prevalent in Kenosha at 23.4% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 17.1% in Kenosha.
- Binge drinking is more common in Kenosha at 22.4% compared to 15.4% in Baltimore.
- Obesity rates are higher in Kenosha at 38.8% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 14.0% in Kenosha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kenosha | Baltimore |
|---|---|---|
| No Schooling | 1.1% (1,036) | 1.2% (6,683) |
| High School Diploma | 15.4% (15,122) | 16.8% (95,744) |
| Less than High School | 12.9% (12,739) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 18.1% (17,852) | 25.1% (143,174) |
Education Levels Comparison: Kenosha vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 1.1% in Kenosha.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 15.4% in Kenosha.
- More residents in Kenosha have less than a high school education at 12.9% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 18.1% in Kenosha.
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.