Demographics details for Cudahy, WI vs Chester, MT
Population Overview
Compare main population characteristics in Cudahy, WI vs Chester, MT.
| Data | Cudahy | Chester |
|---|---|---|
| Population | 17,796 | 852 |
| Median Age | 42.4 years | 49.1 years |
| Median Income | $66,592 | $52,750 |
| Married Families | 39.0% | 33.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Cudahy vs Chester
- In Cudahy, the population is higher at 17,796, compared to 852 in Chester.
- The median age in Chester is higher at 49.1 years, compared to 42.4 years in Cudahy.
- Cudahy has a higher median income of $66,592 compared to $52,750 in Chester.
- A higher percentage of married families is found in Cudahy at 39.0% compared to 33.0% in Chester.
- The poverty level is higher in Chester at 13%, compared to 11% in Cudahy.
- The unemployment rate is the same in both Cudahy and Chester at 3.5%.
Demographics
Demographics Cudahy vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Cudahy | Chester |
|---|---|---|
| Black | 3 | Data is updating |
| White | 77 | 94 |
| Asian | 2 | Data is updating |
| Hispanic | 9 | 1 |
| Two or More Races | 9 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cudahy vs Chester
- A higher percentage of Black residents are in Cudahy at 3% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 94% compared to 77% in Cudahy.
- The Asian population is larger in Cudahy at 2% compared to 0% in Chester.
- The Hispanic community is larger in Cudahy at 9% compared to 1% in Chester.
- More residents identify as two or more races in Cudahy at 9% compared to 4% in Chester.
- In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Cudahy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cudahy | Chester |
|---|---|---|
| Mental Health Not Good | 15.5% | 19.3% |
| Physical Health Not Good | 9.6% | 13.8% |
| Depression | 24.3% | 26.6% |
| Smoking | 16.4% | 23.1% |
| Binge Drinking | 26.4% | 20.7% |
| Obesity | 34.2% | 37.3% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Cudahy vs Chester
- In Chester, a higher percentage report poor mental health at 19.3% compared to 15.5% in Cudahy.
- Higher depression rates are seen in Chester at 26.6% versus 24.3% in Cudahy.
- Chester has a higher smoking rate at 23.1% compared to 16.4% in Cudahy.
- Binge drinking is more common in Cudahy at 26.4% compared to 20.7% in Chester.
- Chester has higher obesity rates at 37.3% compared to 34.2% in Cudahy.
- There is a higher percentage of disabled individuals in Chester at 21.0% compared to 16.0% in Cudahy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cudahy | Chester |
|---|---|---|
| No Schooling | 0.9% (166) | 0.2% (2) |
| High School Diploma | 25.1% (4,460) | 16.1% (137) |
| Less than High School | 9.9% (1,768) | 11.9% (101) |
| Bachelor's Degree and Higher | 21.0% (3,730) | 16.1% (137) |
Education Levels Comparison: Cudahy vs Chester
- A higher percentage of residents in Cudahy have no formal schooling at 0.9% compared to 0.2% in Chester.
- A higher percentage of residents in Cudahy hold a high school diploma at 25.1% compared to 16.1% in Chester.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 9.9% in Cudahy.
- A higher percentage of residents in Cudahy hold a bachelor's degree or higher at 21.0% compared to 16.1% in Chester.
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.