Demographics details for Churchville, VA vs Cudahy, WI
Population Overview
Compare main population characteristics in Churchville, VA vs Cudahy, WI.
Data | Churchville | Cudahy |
---|---|---|
Population | 61 | 17,796 |
Median Age | 59.7 years | 42.4 years |
Median Income | $81,220 | $66,592 |
Married Families | 59.0% | 39.0% |
Poverty Level | Data is updating | 11% |
Unemployment Rate | Data is updating | 3.5 |
Population Comparison: Churchville vs Cudahy
- The population in Cudahy is higher at 17,796, compared to 61 in Churchville.
- Residents in Churchville have a higher median age of 59.7 years compared to 42.4 years in Cudahy.
- Churchville has a higher median income of $81,220 compared to $66,592 in Cudahy.
- A higher percentage of married families is found in Churchville at 59.0% compared to 39.0% in Cudahy.
- The poverty level is higher in Cudahy at 11%, compared to 0% in Churchville.
- Cudahy has a higher unemployment rate at 3.5% compared to 0.0% in Churchville.
Demographics
Demographics Churchville vs Cudahy provide insight into the diversity of the communities to compare.
Demographic | Churchville | Cudahy |
---|---|---|
Black | Data is updating | 3 |
White | 100 | 77 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 9 |
Two or More Races | Data is updating | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Churchville vs Cudahy
- In Cudahy, the percentage of Black residents is higher at 3% compared to 0% in Churchville.
- Churchville has a higher percentage of White residents at 100% compared to 77% in Cudahy.
- In Cudahy, the Asian population stands at 2%, greater than 0% in Churchville.
- Cudahy has a higher percentage of Hispanic residents at 9%, compared to 0% in Churchville.
- The percentage of residents identifying as two or more races is higher in Cudahy at 9%, compared to 0% in Churchville.
- The percentage of American Indian residents is the same in both Churchville and Cudahy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Churchville | Cudahy |
---|---|---|
Mental Health Not Good | 17.2% | 15.5% |
Physical Health Not Good | 10.3% | 9.6% |
Depression | 24.9% | 24.3% |
Smoking | 16.6% | 16.4% |
Binge Drinking | 18.9% | 26.4% |
Obesity | 34.4% | 34.2% |
Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Churchville vs Cudahy
- More residents in Churchville report poor mental health at 17.2% compared to 15.5% in Cudahy.
- Depression is more prevalent in Churchville at 24.9% compared to 24.3% in Cudahy.
- Smoking is more prevalent in Churchville at 16.6% compared to 16.4% in Cudahy.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 18.9% in Churchville.
- Obesity rates are higher in Churchville at 34.4% compared to 34.2% in Cudahy.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% compared to 0.0% in Churchville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Churchville | Cudahy |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (166) |
High School Diploma | 0.0% (Data is updating) | 25.1% (4,460) |
Less than High School | 0.0% (Data is updating) | 9.9% (1,768) |
Bachelor's Degree and Higher | 50.8% (31) | 21.0% (3,730) |
Education Levels Comparison: Churchville vs Cudahy
- In Cudahy, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Churchville.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 0.0% in Churchville.
- The percentage of residents with less than a high school education is higher in Cudahy at 9.9%, compared to 0.0% in Churchville.
- A higher percentage of residents in Churchville hold a bachelor's degree or higher at 50.8% 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.