Demographics details for Frametown, WV vs Cudahy, WI
Population Overview
Compare main population characteristics in Frametown, WV vs Cudahy, WI.
Data | Frametown | Cudahy |
---|---|---|
Population | 200 | 17,796 |
Median Age | 35.0 years | 42.4 years |
Median Income | $50,000 | $66,592 |
Married Families | 50.0% | 39.0% |
Poverty Level | 15% | 11% |
Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Frametown vs Cudahy
- The population in Cudahy is higher at 17,796, compared to 200 in Frametown.
- The median age in Cudahy is higher at 42.4 years, compared to 35.0 years in Frametown.
- Cudahy has a higher median income of $66,592, compared to $50,000 in Frametown.
- A higher percentage of married families is found in Frametown at 50.0% compared to 39.0% in Cudahy.
- Frametown has a higher poverty level at 15% compared to 11% in Cudahy.
- The unemployment rate in Frametown is higher at 5.0%, compared to 3.5% in Cudahy.
Demographics
Demographics Frametown vs Cudahy provide insight into the diversity of the communities to compare.
Demographic | Frametown | Cudahy |
---|---|---|
Black | Data is updating | 3 |
White | 95 | 77 |
Asian | Data is updating | 2 |
Hispanic | 3 | 9 |
Two or More Races | 2 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Frametown vs Cudahy
- In Cudahy, the percentage of Black residents is higher at 3% compared to 0% in Frametown.
- Frametown has a higher percentage of White residents at 95% compared to 77% in Cudahy.
- In Cudahy, the Asian population stands at 2%, greater than 0% in Frametown.
- Cudahy has a higher percentage of Hispanic residents at 9%, compared to 3% in Frametown.
- The percentage of residents identifying as two or more races is higher in Cudahy at 9%, compared to 2% in Frametown.
- The percentage of American Indian residents is the same in both Frametown and Cudahy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Frametown | Cudahy |
---|---|---|
Mental Health Not Good | Data is updating% | 15.5% |
Physical Health Not Good | Data is updating% | 9.6% |
Depression | Data is updating% | 24.3% |
Smoking | Data is updating% | 16.4% |
Binge Drinking | Data is updating% | 26.4% |
Obesity | Data is updating% | 34.2% |
Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Frametown vs Cudahy
- In Cudahy, a higher percentage report poor mental health at 15.5% compared to 0.0% in Frametown.
- Higher depression rates are seen in Cudahy at 24.3% versus 0.0% in Frametown.
- Cudahy has a higher smoking rate at 16.4% compared to 0.0% in Frametown.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 0.0% in Frametown.
- Cudahy has higher obesity rates at 34.2% compared to 0.0% in Frametown.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% compared to 0.0% in Frametown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Frametown | 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 | 0.0% (Data is updating) | 21.0% (3,730) |
Education Levels Comparison: Frametown vs Cudahy
- In Cudahy, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Frametown.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 0.0% in Frametown.
- The percentage of residents with less than a high school education is higher in Cudahy at 9.9%, compared to 0.0% in Frametown.
- In Cudahy, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 0.0% in Frametown.
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.