Demographics details for River falls, WI vs Essex, MA
Population Overview
Compare main population characteristics in River falls, WI vs Essex, MA.
Data | River falls | Essex |
---|---|---|
Population | 16,609 | 3,504 |
Median Age | 26.8 years | 43.0 years |
Median Income | $72,247 | $115,000 |
Married Families | 29.0% | 72.1% |
Poverty Level | 7% | 3% |
Unemployment Rate | 2.5 | 3.1 |
Population Comparison: River falls vs Essex
- In River falls, the population is higher at 16,609, compared to 3,504 in Essex.
- The median age in Essex is higher at 43.0 years, compared to 26.8 years in River falls.
- Essex has a higher median income of $115,000, compared to $72,247 in River falls.
- In Essex, the percentage of married families is higher at 72.1%, compared to 29.0% in River falls.
- River falls has a higher poverty level at 7% compared to 3% in Essex.
- Essex has a higher unemployment rate at 3.1% compared to 2.5% in River falls.
Demographics
Demographics River falls vs Essex provide insight into the diversity of the communities to compare.
Demographic | River falls | Essex |
---|---|---|
Black | 1 | 0.5 |
White | 91 | 92.8 |
Asian | 2 | 2.2 |
Hispanic | 2 | 3.8 |
Two or More Races | 4 | 0.7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: River falls vs Essex
- A higher percentage of Black residents are in River falls at 1% compared to 0.5% in Essex.
- The percentage of White residents is higher in Essex at 92.8% compared to 91% in River falls.
- In Essex, the Asian population stands at 2.2%, greater than 2% in River falls.
- Essex has a higher percentage of Hispanic residents at 3.8%, compared to 2% in River falls.
- More residents identify as two or more races in River falls at 4% compared to 0.7% in Essex.
- The percentage of American Indian residents is the same in both River falls and Essex at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | River falls | Essex |
---|---|---|
Mental Health Not Good | 15.0% | Data is updating% |
Physical Health Not Good | 9.6% | Data is updating% |
Depression | 23.6% | Data is updating% |
Smoking | 14.7% | Data is updating% |
Binge Drinking | 24.3% | Data is updating% |
Obesity | 35.7% | Data is updating% |
Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: River falls vs Essex
- More residents in River falls report poor mental health at 15.0% compared to 0.0% in Essex.
- Depression is more prevalent in River falls at 23.6% compared to 0.0% in Essex.
- Smoking is more prevalent in River falls at 14.7% compared to 0.0% in Essex.
- Binge drinking is more common in River falls at 24.3% compared to 0.0% in Essex.
- Obesity rates are higher in River falls at 35.7% compared to 0.0% in Essex.
- Disability percentages are higher in River falls at 9.0% compared to 0.0% in Essex.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | River falls | Essex |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 8.9% (1,480) | 0.0% (Data is updating) |
Less than High School | 2.6% (439) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 21.9% (3,640) | 0.0% (Data is updating) |
Education Levels Comparison: River falls vs Essex
- The percentage of residents with no formal schooling is the same in both River falls and Essex at 0.0%.
- A higher percentage of residents in River falls hold a high school diploma at 8.9% compared to 0.0% in Essex.
- More residents in River falls have less than a high school education at 2.6% compared to 0.0% in Essex.
- A higher percentage of residents in River falls hold a bachelor's degree or higher at 21.9% compared to 0.0% in Essex.
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.