Demographics details for Elgin, IA vs Williams bay, WI
Population Overview
Compare main population characteristics in Elgin, IA vs Williams bay, WI.
Data | Elgin | Williams bay |
---|---|---|
Population | 678 | 2,969 |
Median Age | 45.8 years | 48.2 years |
Median Income | $55,625 | $71,250 |
Married Families | 48.0% | 43.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 4.0 | 3.0 |
Population Comparison: Elgin vs Williams bay
- The population in Williams bay is higher at 2,969, compared to 678 in Elgin.
- The median age in Williams bay is higher at 48.2 years, compared to 45.8 years in Elgin.
- Williams bay has a higher median income of $71,250, compared to $55,625 in Elgin.
- A higher percentage of married families is found in Elgin at 48.0% compared to 43.0% in Williams bay.
- Elgin has a higher poverty level at 10% compared to 0% in Williams bay.
- The unemployment rate in Elgin is higher at 4.0%, compared to 3.0% in Williams bay.
Demographics
Demographics Elgin vs Williams bay provide insight into the diversity of the communities to compare.
Demographic | Elgin | Williams bay |
---|---|---|
Black | 1 | Data is updating |
White | 98 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 8 |
Two or More Races | 1 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Elgin vs Williams bay
- A higher percentage of Black residents are in Elgin at 1% compared to 0% in Williams bay.
- Elgin has a higher percentage of White residents at 98% compared to 91% in Williams bay.
- Both Elgin and Williams bay have the same percentage of Asian residents at 0%.
- Williams bay has a higher percentage of Hispanic residents at 8%, compared to 0% in Elgin.
- Both Elgin and Williams bay have the same percentage of residents identifying as two or more races at 1%.
- The percentage of American Indian residents is the same in both Elgin and Williams bay at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Elgin | Williams bay |
---|---|---|
Mental Health Not Good | 15.2% | 14.3% |
Physical Health Not Good | 9.3% | 9.1% |
Depression | 18.6% | 22.8% |
Smoking | 16.8% | 13.3% |
Binge Drinking | 22.1% | 24.1% |
Obesity | 39.2% | 36.4% |
Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Elgin vs Williams bay
- More residents in Elgin report poor mental health at 15.2% compared to 14.3% in Williams bay.
- Higher depression rates are seen in Williams bay at 22.8% versus 18.6% in Elgin.
- Smoking is more prevalent in Elgin at 16.8% compared to 13.3% in Williams bay.
- More residents engage in binge drinking in Williams bay at 24.1% compared to 22.1% in Elgin.
- Obesity rates are higher in Elgin at 39.2% compared to 36.4% in Williams bay.
- There is a higher percentage of disabled individuals in Williams bay at 19.0% compared to 17.0% in Elgin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Elgin | Williams bay |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (9) |
High School Diploma | 31.7% (215) | 11.6% (345) |
Less than High School | 5.6% (38) | 1.4% (43) |
Bachelor's Degree and Higher | 11.7% (79) | 34.6% (1,028) |
Education Levels Comparison: Elgin vs Williams bay
- In Williams bay, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Elgin.
- A higher percentage of residents in Elgin hold a high school diploma at 31.7% compared to 11.6% in Williams bay.
- More residents in Elgin have less than a high school education at 5.6% compared to 1.4% in Williams bay.
- In Williams bay, a larger share of residents have a bachelor's degree or higher at 34.6% compared to 11.7% in Elgin.
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.