Demographics details for Moorpark, CA vs Kenosha, WI
Population Overview
Compare main population characteristics in Moorpark, CA vs Kenosha, WI.
| Data | Moorpark | Kenosha |
|---|---|---|
| Population | 35,514 | 98,484 |
| Median Age | 38.8 years | 36.3 years |
| Median Income | $143,218 | $64,963 |
| Married Families | 47.0% | 35.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 4.1 | 4.1 |
Population Comparison: Moorpark vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 35,514 in Moorpark.
- Residents in Moorpark have a higher median age of 38.8 years compared to 36.3 years in Kenosha.
- Moorpark has a higher median income of $143,218 compared to $64,963 in Kenosha.
- A higher percentage of married families is found in Moorpark at 47.0% compared to 35.0% in Kenosha.
- The poverty level is higher in Kenosha at 13%, compared to 8% in Moorpark.
- The unemployment rate is the same in both Moorpark and Kenosha at 4.1%.
Demographics
Demographics Moorpark vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Moorpark | Kenosha |
|---|---|---|
| Black | 3 | 10 |
| White | 38 | 57 |
| Asian | 7 | 2 |
| Hispanic | 34 | 18 |
| Two or More Races | 17 | 12 |
| American Indian | 1 | 1 |
Demographics Comparison: Moorpark vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 3% in Moorpark.
- The percentage of White residents is higher in Kenosha at 57% compared to 38% in Moorpark.
- The Asian population is larger in Moorpark at 7% compared to 2% in Kenosha.
- The Hispanic community is larger in Moorpark at 34% compared to 18% in Kenosha.
- More residents identify as two or more races in Moorpark at 17% compared to 12% in Kenosha.
- The percentage of American Indian residents is the same in both Moorpark and Kenosha at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moorpark | Kenosha |
|---|---|---|
| Mental Health Not Good | 13.8% | 15.7% |
| Physical Health Not Good | 8.9% | 11.1% |
| Depression | 17.6% | 23.4% |
| Smoking | 9.2% | 17.1% |
| Binge Drinking | 17.8% | 22.4% |
| Obesity | 24.7% | 38.8% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Moorpark vs Kenosha
- In Kenosha, a higher percentage report poor mental health at 15.7% compared to 13.8% in Moorpark.
- Higher depression rates are seen in Kenosha at 23.4% versus 17.6% in Moorpark.
- Kenosha has a higher smoking rate at 17.1% compared to 9.2% in Moorpark.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 17.8% in Moorpark.
- Kenosha has higher obesity rates at 38.8% compared to 24.7% in Moorpark.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% compared to 10.0% in Moorpark.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moorpark | Kenosha |
|---|---|---|
| No Schooling | 0.8% (300) | 1.1% (1,036) |
| High School Diploma | 9.3% (3,304) | 15.4% (15,122) |
| Less than High School | 11.8% (4,201) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 30.1% (10,699) | 18.1% (17,852) |
Education Levels Comparison: Moorpark vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Moorpark.
- In Kenosha, the rate of residents with high school diplomas is higher at 15.4% compared to 9.3% in Moorpark.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 11.8% in Moorpark.
- A higher percentage of residents in Moorpark hold a bachelor's degree or higher at 30.1% 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.