Demographics details for Forest city, NC vs Cudahy, WI
Population Overview
Compare main population characteristics in Forest city, NC vs Cudahy, WI.
| Data | Forest city | Cudahy |
|---|---|---|
| Population | 7,358 | 17,796 |
| Median Age | 32.8 years | 42.4 years |
| Median Income | $35,232 | $66,592 |
| Married Families | 21.0% | 39.0% |
| Poverty Level | 11% | 11% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Forest city vs Cudahy
- The population in Cudahy is higher at 17,796, compared to 7,358 in Forest city.
- The median age in Cudahy is higher at 42.4 years, compared to 32.8 years in Forest city.
- Cudahy has a higher median income of $66,592, compared to $35,232 in Forest city.
- In Cudahy, the percentage of married families is higher at 39.0%, compared to 21.0% in Forest city.
- The poverty level is identical in both Forest city and Cudahy at 11%.
- The unemployment rate in Forest city is higher at 4.5%, compared to 3.5% in Cudahy.
Demographics
Demographics Forest city vs Cudahy provide insight into the diversity of the communities to compare.
| Demographic | Forest city | Cudahy |
|---|---|---|
| Black | 28 | 3 |
| White | 57 | 77 |
| Asian | 2 | 2 |
| Hispanic | 8 | 9 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest city vs Cudahy
- A higher percentage of Black residents are in Forest city at 28% compared to 3% in Cudahy.
- The percentage of White residents is higher in Cudahy at 77% compared to 57% in Forest city.
- Both Forest city and Cudahy have the same percentage of Asian residents at 2%.
- Cudahy has a higher percentage of Hispanic residents at 9%, compared to 8% in Forest city.
- The percentage of residents identifying as two or more races is higher in Cudahy at 9%, compared to 5% in Forest city.
- The percentage of American Indian residents is the same in both Forest city and Cudahy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest city | Cudahy |
|---|---|---|
| Mental Health Not Good | 19.0% | 15.5% |
| Physical Health Not Good | 14.4% | 9.6% |
| Depression | 24.4% | 24.3% |
| Smoking | 22.1% | 16.4% |
| Binge Drinking | 15.2% | 26.4% |
| Obesity | 41.2% | 34.2% |
| Disability Percentage | 23.0% | 16.0% |
Health Statistics Comparison: Forest city vs Cudahy
- More residents in Forest city report poor mental health at 19.0% compared to 15.5% in Cudahy.
- Depression is more prevalent in Forest city at 24.4% compared to 24.3% in Cudahy.
- Smoking is more prevalent in Forest city at 22.1% compared to 16.4% in Cudahy.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 15.2% in Forest city.
- Obesity rates are higher in Forest city at 41.2% compared to 34.2% in Cudahy.
- Disability percentages are higher in Forest city at 23.0% 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 | Forest city | Cudahy |
|---|---|---|
| No Schooling | 0.9% (63) | 0.9% (166) |
| High School Diploma | 15.5% (1,140) | 25.1% (4,460) |
| Less than High School | 13.0% (956) | 9.9% (1,768) |
| Bachelor's Degree and Higher | 10.7% (785) | 21.0% (3,730) |
Education Levels Comparison: Forest city vs Cudahy
- The percentage of residents with no formal schooling is the same in both Forest city and Cudahy at 0.9%.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 15.5% in Forest city.
- More residents in Forest city have less than a high school education at 13.0% compared to 9.9% in Cudahy.
- In Cudahy, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 10.7% in Forest city.
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.