Demographics details for Cudahy, WI vs South pasadena, CA
Population Overview
Compare main population characteristics in Cudahy, WI vs South pasadena, CA.
Data | Cudahy | South pasadena |
---|---|---|
Population | 17,796 | 25,850 |
Median Age | 42.4 years | 40.6 years |
Median Income | $66,592 | $127,882 |
Married Families | 39.0% | 45.0% |
Poverty Level | 11% | 8% |
Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Cudahy vs South pasadena
- The population in South pasadena is higher at 25,850, compared to 17,796 in Cudahy.
- Residents in Cudahy have a higher median age of 42.4 years compared to 40.6 years in South pasadena.
- South pasadena has a higher median income of $127,882, compared to $66,592 in Cudahy.
- In South pasadena, the percentage of married families is higher at 45.0%, compared to 39.0% in Cudahy.
- Cudahy has a higher poverty level at 11% compared to 8% in South pasadena.
- South pasadena has a higher unemployment rate at 5.1% compared to 3.5% in Cudahy.
Demographics
Demographics Cudahy vs South pasadena provide insight into the diversity of the communities to compare.
Demographic | Cudahy | South pasadena |
---|---|---|
Black | 3 | 4 |
White | 77 | 31 |
Asian | 2 | 34 |
Hispanic | 9 | 19 |
Two or More Races | 9 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cudahy vs South pasadena
- In South pasadena, the percentage of Black residents is higher at 4% compared to 3% in Cudahy.
- Cudahy has a higher percentage of White residents at 77% compared to 31% in South pasadena.
- In South pasadena, the Asian population stands at 34%, greater than 2% in Cudahy.
- South pasadena has a higher percentage of Hispanic residents at 19%, compared to 9% in Cudahy.
- The percentage of residents identifying as two or more races is higher in South pasadena at 12%, compared to 9% in Cudahy.
- The percentage of American Indian residents is the same in both Cudahy and South pasadena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cudahy | South pasadena |
---|---|---|
Mental Health Not Good | 15.5% | 11.9% |
Physical Health Not Good | 9.6% | 7.1% |
Depression | 24.3% | 13.8% |
Smoking | 16.4% | 6.3% |
Binge Drinking | 26.4% | 15.3% |
Obesity | 34.2% | 20.9% |
Disability Percentage | 16.0% | 7.0% |
Health Statistics Comparison: Cudahy vs South pasadena
- More residents in Cudahy report poor mental health at 15.5% compared to 11.9% in South pasadena.
- Depression is more prevalent in Cudahy at 24.3% compared to 13.8% in South pasadena.
- Smoking is more prevalent in Cudahy at 16.4% compared to 6.3% in South pasadena.
- Binge drinking is more common in Cudahy at 26.4% compared to 15.3% in South pasadena.
- Obesity rates are higher in Cudahy at 34.2% compared to 20.9% in South pasadena.
- Disability percentages are higher in Cudahy at 16.0% compared to 7.0% in South pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cudahy | South pasadena |
---|---|---|
No Schooling | 0.9% (166) | 0.7% (177) |
High School Diploma | 25.1% (4,460) | 4.3% (1,111) |
Less than High School | 9.9% (1,768) | 3.0% (766) |
Bachelor's Degree and Higher | 21.0% (3,730) | 53.2% (13,751) |
Education Levels Comparison: Cudahy vs South pasadena
- A higher percentage of residents in Cudahy have no formal schooling at 0.9% compared to 0.7% in South pasadena.
- A higher percentage of residents in Cudahy hold a high school diploma at 25.1% compared to 4.3% in South pasadena.
- More residents in Cudahy have less than a high school education at 9.9% compared to 3.0% in South pasadena.
- In South pasadena, a larger share of residents have a bachelor's degree or higher at 53.2% compared to 21.0% in Cudahy.
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.