Demographics details for Arcadia, WI vs Carbon cliff, IL
Population Overview
Compare main population characteristics in Arcadia, WI vs Carbon cliff, IL.
Data | Arcadia | Carbon cliff |
---|---|---|
Population | 3,697 | 1,798 |
Median Age | 29.2 years | 33.5 years |
Median Income | $62,008 | $50,208 |
Married Families | 32.0% | 37.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 3.2 | 5.3 |
Population Comparison: Arcadia vs Carbon cliff
- In Arcadia, the population is higher at 3,697, compared to 1,798 in Carbon cliff.
- The median age in Carbon cliff is higher at 33.5 years, compared to 29.2 years in Arcadia.
- Arcadia has a higher median income of $62,008 compared to $50,208 in Carbon cliff.
- In Carbon cliff, the percentage of married families is higher at 37.0%, compared to 32.0% in Arcadia.
- The poverty level is higher in Carbon cliff at 12%, compared to 11% in Arcadia.
- Carbon cliff has a higher unemployment rate at 5.3% compared to 3.2% in Arcadia.
Demographics
Demographics Arcadia vs Carbon cliff provide insight into the diversity of the communities to compare.
Demographic | Arcadia | Carbon cliff |
---|---|---|
Black | Data is updating | 10 |
White | 45 | 65 |
Asian | Data is updating | Data is updating |
Hispanic | 51 | 14 |
Two or More Races | 2 | 11 |
American Indian | 2 | Data is updating |
Demographics Comparison: Arcadia vs Carbon cliff
- In Carbon cliff, the percentage of Black residents is higher at 10% compared to 0% in Arcadia.
- The percentage of White residents is higher in Carbon cliff at 65% compared to 45% in Arcadia.
- Both Arcadia and Carbon cliff have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Arcadia at 51% compared to 14% in Carbon cliff.
- The percentage of residents identifying as two or more races is higher in Carbon cliff at 11%, compared to 2% in Arcadia.
- A greater percentage of American Indian residents live in Arcadia at 2% compared to 0% in Carbon cliff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Arcadia | Carbon cliff |
---|---|---|
Mental Health Not Good | 15.1% | 17.0% |
Physical Health Not Good | 11.5% | 11.7% |
Depression | 22.6% | 22.0% |
Smoking | 17.5% | 18.7% |
Binge Drinking | 22.8% | 16.8% |
Obesity | 37.4% | 38.2% |
Disability Percentage | 4.0% | 23.0% |
Health Statistics Comparison: Arcadia vs Carbon cliff
- In Carbon cliff, a higher percentage report poor mental health at 17.0% compared to 15.1% in Arcadia.
- Depression is more prevalent in Arcadia at 22.6% compared to 22.0% in Carbon cliff.
- Carbon cliff has a higher smoking rate at 18.7% compared to 17.5% in Arcadia.
- Binge drinking is more common in Arcadia at 22.8% compared to 16.8% in Carbon cliff.
- Carbon cliff has higher obesity rates at 38.2% compared to 37.4% in Arcadia.
- There is a higher percentage of disabled individuals in Carbon cliff at 23.0% compared to 4.0% in Arcadia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Arcadia | Carbon cliff |
---|---|---|
No Schooling | 0.2% (6) | 0.3% (5) |
High School Diploma | 19.7% (727) | 18.1% (325) |
Less than High School | 24.1% (892) | 28.2% (507) |
Bachelor's Degree and Higher | 8.5% (315) | 5.5% (98) |
Education Levels Comparison: Arcadia vs Carbon cliff
- In Carbon cliff, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Arcadia.
- A higher percentage of residents in Arcadia hold a high school diploma at 19.7% compared to 18.1% in Carbon cliff.
- The percentage of residents with less than a high school education is higher in Carbon cliff at 28.2%, compared to 24.1% in Arcadia.
- A higher percentage of residents in Arcadia hold a bachelor's degree or higher at 8.5% compared to 5.5% in Carbon cliff.
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.