Demographics details for Shelby, IA vs Cudahy, WI
Population Overview
Compare main population characteristics in Shelby, IA vs Cudahy, WI.
Data | Shelby | Cudahy |
---|---|---|
Population | 11,645 | 17,796 |
Median Age | 45.5 years | 42.4 years |
Median Income | $70,295 | $66,592 |
Married Families | 47.0% | 39.0% |
Poverty Level | 9% | 11% |
Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Shelby vs Cudahy
- The population in Cudahy is higher at 17,796, compared to 11,645 in Shelby.
- Residents in Shelby have a higher median age of 45.5 years compared to 42.4 years in Cudahy.
- Shelby has a higher median income of $70,295 compared to $66,592 in Cudahy.
- A higher percentage of married families is found in Shelby at 47.0% compared to 39.0% in Cudahy.
- The poverty level is higher in Cudahy at 11%, compared to 9% in Shelby.
- Cudahy has a higher unemployment rate at 3.5% compared to 2.5% in Shelby.
Demographics
Demographics Shelby vs Cudahy provide insight into the diversity of the communities to compare.
Demographic | Shelby | Cudahy |
---|---|---|
Black | 1 | 3 |
White | 93 | 77 |
Asian | Data is updating | 2 |
Hispanic | 3 | 9 |
Two or More Races | 3 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Shelby vs Cudahy
- In Cudahy, the percentage of Black residents is higher at 3% compared to 1% in Shelby.
- Shelby has a higher percentage of White residents at 93% compared to 77% in Cudahy.
- In Cudahy, the Asian population stands at 2%, greater than 0% in Shelby.
- Cudahy has a higher percentage of Hispanic residents at 9%, compared to 3% in Shelby.
- The percentage of residents identifying as two or more races is higher in Cudahy at 9%, compared to 3% in Shelby.
- The percentage of American Indian residents is the same in both Shelby and Cudahy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Shelby | Cudahy |
---|---|---|
Mental Health Not Good | 15.2% | 15.5% |
Physical Health Not Good | 9.5% | 9.6% |
Depression | 18.1% | 24.3% |
Smoking | 17.2% | 16.4% |
Binge Drinking | 22.5% | 26.4% |
Obesity | 36.7% | 34.2% |
Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Shelby vs Cudahy
- In Cudahy, a higher percentage report poor mental health at 15.5% compared to 15.2% in Shelby.
- Higher depression rates are seen in Cudahy at 24.3% versus 18.1% in Shelby.
- Smoking is more prevalent in Shelby at 17.2% compared to 16.4% in Cudahy.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 22.5% in Shelby.
- Obesity rates are higher in Shelby at 36.7% compared to 34.2% in Cudahy.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% compared to 11.0% in Shelby.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Shelby | Cudahy |
---|---|---|
No Schooling | 0.6% (72) | 0.9% (166) |
High School Diploma | 22.7% (2,641) | 25.1% (4,460) |
Less than High School | 8.1% (941) | 9.9% (1,768) |
Bachelor's Degree and Higher | 16.3% (1,898) | 21.0% (3,730) |
Education Levels Comparison: Shelby vs Cudahy
- In Cudahy, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Shelby.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 22.7% in Shelby.
- The percentage of residents with less than a high school education is higher in Cudahy at 9.9%, compared to 8.1% in Shelby.
- In Cudahy, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 16.3% in Shelby.
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.