Demographics details for Norway, MI vs River falls, WI
Population Overview
Compare main population characteristics in Norway, MI vs River falls, WI.
Data | Norway | River falls |
---|---|---|
Population | 2,827 | 16,609 |
Median Age | 45.3 years | 26.8 years |
Median Income | $49,261 | $72,247 |
Married Families | 38.0% | 29.0% |
Poverty Level | 15% | 7% |
Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Norway vs River falls
- The population in River falls is higher at 16,609, compared to 2,827 in Norway.
- Residents in Norway have a higher median age of 45.3 years compared to 26.8 years in River falls.
- River falls has a higher median income of $72,247, compared to $49,261 in Norway.
- A higher percentage of married families is found in Norway at 38.0% compared to 29.0% in River falls.
- Norway has a higher poverty level at 15% compared to 7% in River falls.
- The unemployment rate in Norway is higher at 4.5%, compared to 2.5% in River falls.
Demographics
Demographics Norway vs River falls provide insight into the diversity of the communities to compare.
Demographic | Norway | River falls |
---|---|---|
Black | 1 | 1 |
White | 96 | 91 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 2 |
Two or More Races | 3 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norway vs River falls
- The percentage of Black residents is the same in both Norway and River falls at 1%.
- Norway has a higher percentage of White residents at 96% compared to 91% in River falls.
- In River falls, the Asian population stands at 2%, greater than 0% in Norway.
- River falls has a higher percentage of Hispanic residents at 2%, compared to 0% in Norway.
- The percentage of residents identifying as two or more races is higher in River falls at 4%, compared to 3% in Norway.
- The percentage of American Indian residents is the same in both Norway and River falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norway | River falls |
---|---|---|
Mental Health Not Good | 16.9% | 15.0% |
Physical Health Not Good | 10.2% | 9.6% |
Depression | 25.7% | 23.6% |
Smoking | 16.4% | 14.7% |
Binge Drinking | 19.1% | 24.3% |
Obesity | 34.9% | 35.7% |
Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Norway vs River falls
- More residents in Norway report poor mental health at 16.9% compared to 15.0% in River falls.
- Depression is more prevalent in Norway at 25.7% compared to 23.6% in River falls.
- Smoking is more prevalent in Norway at 16.4% compared to 14.7% in River falls.
- More residents engage in binge drinking in River falls at 24.3% compared to 19.1% in Norway.
- River falls has higher obesity rates at 35.7% compared to 34.9% in Norway.
- Disability percentages are higher in Norway at 18.0% compared to 9.0% in River falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norway | River falls |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 21.9% (618) | 8.9% (1,480) |
Less than High School | 11.6% (329) | 2.6% (439) |
Bachelor's Degree and Higher | 12.2% (346) | 21.9% (3,640) |
Education Levels Comparison: Norway vs River falls
- The percentage of residents with no formal schooling is the same in both Norway and River falls at 0.0%.
- A higher percentage of residents in Norway hold a high school diploma at 21.9% compared to 8.9% in River falls.
- More residents in Norway have less than a high school education at 11.6% compared to 2.6% in River falls.
- In River falls, a larger share of residents have a bachelor's degree or higher at 21.9% compared to 12.2% in Norway.
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.