Demographics details for Charlotte, NC vs Kenosha, WI
Population Overview
Compare main population characteristics in Charlotte, NC vs Kenosha, WI.
| Data | Charlotte | Kenosha |
|---|---|---|
| Population | 897,720 | 98,484 |
| Median Age | 34.5 years | 36.3 years |
| Median Income | $74,070 | $64,963 |
| Married Families | 33.0% | 35.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 4.0 | 4.1 |
Population Comparison: Charlotte vs Kenosha
- In Charlotte, the population is higher at 897,720, compared to 98,484 in Kenosha.
- The median age in Kenosha is higher at 36.3 years, compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070 compared to $64,963 in Kenosha.
- In Kenosha, the percentage of married families is higher at 35.0%, compared to 33.0% in Charlotte.
- The poverty level is higher in Kenosha at 13%, compared to 12% in Charlotte.
- Kenosha has a higher unemployment rate at 4.1% compared to 4.0% in Charlotte.
Demographics
Demographics Charlotte vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Charlotte | Kenosha |
|---|---|---|
| Black | 34 | 10 |
| White | 38 | 57 |
| Asian | 6 | 2 |
| Hispanic | 15 | 18 |
| Two or More Races | 7 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Charlotte vs Kenosha
- A higher percentage of Black residents are in Charlotte at 34% compared to 10% in Kenosha.
- The percentage of White residents is higher in Kenosha at 57% compared to 38% in Charlotte.
- The Asian population is larger in Charlotte at 6% compared to 2% in Kenosha.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 15% in Charlotte.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 7% in Charlotte.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Charlotte.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlotte | Kenosha |
|---|---|---|
| Mental Health Not Good | 14.7% | 15.7% |
| Physical Health Not Good | 10.1% | 11.1% |
| Depression | 20.1% | 23.4% |
| Smoking | 13.9% | 17.1% |
| Binge Drinking | 17.5% | 22.4% |
| Obesity | 34.7% | 38.8% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Charlotte vs Kenosha
- In Kenosha, a higher percentage report poor mental health at 15.7% compared to 14.7% in Charlotte.
- Higher depression rates are seen in Kenosha at 23.4% versus 20.1% in Charlotte.
- Kenosha has a higher smoking rate at 17.1% compared to 13.9% in Charlotte.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 17.5% in Charlotte.
- Kenosha has higher obesity rates at 38.8% compared to 34.7% in Charlotte.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charlotte | Kenosha |
|---|---|---|
| No Schooling | 1.2% (10,429) | 1.1% (1,036) |
| High School Diploma | 9.4% (84,002) | 15.4% (15,122) |
| Less than High School | 10.7% (95,990) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 30.6% (274,311) | 18.1% (17,852) |
Education Levels Comparison: Charlotte vs Kenosha
- A higher percentage of residents in Charlotte have no formal schooling at 1.2% compared to 1.1% in Kenosha.
- In Kenosha, the rate of residents with high school diplomas is higher at 15.4% compared to 9.4% in Charlotte.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 10.7% in Charlotte.
- A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 30.6% 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.