Demographics details for Peculiar, MO vs Kenosha, WI
Population Overview
Compare main population characteristics in Peculiar, MO vs Kenosha, WI.
| Data | Peculiar | Kenosha |
|---|---|---|
| Population | 5,958 | 98,484 |
| Median Age | 36.2 years | 36.3 years |
| Median Income | $91,783 | $64,963 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | Data is updating | 13% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Peculiar vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 5,958 in Peculiar.
- The median age in Kenosha is higher at 36.3 years, compared to 36.2 years in Peculiar.
- Peculiar has a higher median income of $91,783 compared to $64,963 in Kenosha.
- In Kenosha, the percentage of married families is higher at 35.0%, compared to 34.0% in Peculiar.
- The poverty level is higher in Kenosha at 13%, compared to 0% in Peculiar.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.5% in Peculiar.
Demographics
Demographics Peculiar vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Peculiar | Kenosha |
|---|---|---|
| Black | 3 | 10 |
| White | 83 | 57 |
| Asian | Data is updating | 2 |
| Hispanic | 7 | 18 |
| Two or More Races | 7 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Peculiar vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 3% in Peculiar.
- Peculiar has a higher percentage of White residents at 83% compared to 57% in Kenosha.
- In Kenosha, the Asian population stands at 2%, greater than 0% in Peculiar.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 7% in Peculiar.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 7% in Peculiar.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Peculiar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Peculiar | Kenosha |
|---|---|---|
| Mental Health Not Good | 16.9% | 15.7% |
| Physical Health Not Good | 10.9% | 11.1% |
| Depression | 24.1% | 23.4% |
| Smoking | 18.3% | 17.1% |
| Binge Drinking | 18.0% | 22.4% |
| Obesity | 37.0% | 38.8% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Peculiar vs Kenosha
- More residents in Peculiar report poor mental health at 16.9% compared to 15.7% in Kenosha.
- Depression is more prevalent in Peculiar at 24.1% compared to 23.4% in Kenosha.
- Smoking is more prevalent in Peculiar at 18.3% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 18.0% in Peculiar.
- Kenosha has higher obesity rates at 38.8% compared to 37.0% in Peculiar.
- Disability percentages are the same in both Peculiar and Kenosha at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Peculiar | Kenosha |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (1,036) |
| High School Diploma | 13.2% (785) | 15.4% (15,122) |
| Less than High School | 9.9% (591) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 13.2% (787) | 18.1% (17,852) |
Education Levels Comparison: Peculiar vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Peculiar.
- In Kenosha, the rate of residents with high school diplomas is higher at 15.4% compared to 13.2% in Peculiar.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 9.9% in Peculiar.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 13.2% in Peculiar.
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.