Demographics details for Victoria, TX vs Kenosha, WI
Population Overview
Compare main population characteristics in Victoria, TX vs Kenosha, WI.
Data | Victoria | Kenosha |
---|---|---|
Population | 65,372 | 98,484 |
Median Age | 34.7 years | 36.3 years |
Median Income | $64,832 | $64,963 |
Married Families | 36.0% | 35.0% |
Poverty Level | 13% | 13% |
Unemployment Rate | 4.8 | 4.1 |
Population Comparison: Victoria vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 65,372 in Victoria.
- The median age in Kenosha is higher at 36.3 years, compared to 34.7 years in Victoria.
- Kenosha has a higher median income of $64,963, compared to $64,832 in Victoria.
- A higher percentage of married families is found in Victoria at 36.0% compared to 35.0% in Kenosha.
- The poverty level is identical in both Victoria and Kenosha at 13%.
- The unemployment rate in Victoria is higher at 4.8%, compared to 4.1% in Kenosha.
Demographics
Demographics Victoria vs Kenosha provide insight into the diversity of the communities to compare.
Demographic | Victoria | Kenosha |
---|---|---|
Black | 7 | 10 |
White | 14 | 57 |
Asian | 2 | 2 |
Hispanic | 56 | 18 |
Two or More Races | 21 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Victoria vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 7% in Victoria.
- The percentage of White residents is higher in Kenosha at 57% compared to 14% in Victoria.
- Both Victoria and Kenosha have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Victoria at 56% compared to 18% in Kenosha.
- More residents identify as two or more races in Victoria at 21% compared to 12% in Kenosha.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Victoria.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Victoria | Kenosha |
---|---|---|
Mental Health Not Good | 18.0% | 15.7% |
Physical Health Not Good | 13.1% | 11.1% |
Depression | 23.2% | 23.4% |
Smoking | 17.6% | 17.1% |
Binge Drinking | 17.0% | 22.4% |
Obesity | 41.7% | 38.8% |
Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Victoria vs Kenosha
- More residents in Victoria report poor mental health at 18.0% compared to 15.7% in Kenosha.
- Higher depression rates are seen in Kenosha at 23.4% versus 23.2% in Victoria.
- Smoking is more prevalent in Victoria at 17.6% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 17.0% in Victoria.
- Obesity rates are higher in Victoria at 41.7% compared to 38.8% in Kenosha.
- Disability percentages are higher in Victoria at 15.0% 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 | Victoria | Kenosha |
---|---|---|
No Schooling | 1.4% (904) | 1.1% (1,036) |
High School Diploma | 16.1% (10,544) | 15.4% (15,122) |
Less than High School | 21.7% (14,173) | 12.9% (12,739) |
Bachelor's Degree and Higher | 12.4% (8,078) | 18.1% (17,852) |
Education Levels Comparison: Victoria vs Kenosha
- A higher percentage of residents in Victoria have no formal schooling at 1.4% compared to 1.1% in Kenosha.
- A higher percentage of residents in Victoria hold a high school diploma at 16.1% compared to 15.4% in Kenosha.
- More residents in Victoria have less than a high school education at 21.7% compared to 12.9% in Kenosha.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 12.4% in Victoria.
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.