Demographics details for Norway, MI vs Spokane valley, WA
Population Overview
Compare main population characteristics in Norway, MI vs Spokane valley, WA.
Data | Norway | Spokane valley |
---|---|---|
Population | 2,827 | 107,325 |
Median Age | 45.3 years | 37.4 years |
Median Income | $49,261 | $66,483 |
Married Families | 38.0% | 37.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Norway vs Spokane valley
- The population in Spokane valley is higher at 107,325, compared to 2,827 in Norway.
- Residents in Norway have a higher median age of 45.3 years compared to 37.4 years in Spokane valley.
- Spokane valley has a higher median income of $66,483, compared to $49,261 in Norway.
- A higher percentage of married families is found in Norway at 38.0% compared to 37.0% in Spokane valley.
- Norway has a higher poverty level at 15% compared to 10% in Spokane valley.
- The unemployment rate in Norway is higher at 4.5%, compared to 4.1% in Spokane valley.
Demographics
Demographics Norway vs Spokane valley provide insight into the diversity of the communities to compare.
Demographic | Norway | Spokane valley |
---|---|---|
Black | 1 | 1 |
White | 96 | 82 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 7 |
Two or More Races | 3 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Norway vs Spokane valley
- The percentage of Black residents is the same in both Norway and Spokane valley at 1%.
- Norway has a higher percentage of White residents at 96% compared to 82% in Spokane valley.
- In Spokane valley, the Asian population stands at 2%, greater than 0% in Norway.
- Spokane valley has a higher percentage of Hispanic residents at 7%, compared to 0% in Norway.
- The percentage of residents identifying as two or more races is higher in Spokane valley at 7%, compared to 3% in Norway.
- In Spokane valley, the percentage of American Indian residents is higher at 1%, compared to 0% in Norway.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norway | Spokane valley |
---|---|---|
Mental Health Not Good | 16.9% | 18.3% |
Physical Health Not Good | 10.2% | 11.5% |
Depression | 25.7% | 28.7% |
Smoking | 16.4% | 15.3% |
Binge Drinking | 19.1% | 18.5% |
Obesity | 34.9% | 29.7% |
Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Norway vs Spokane valley
- In Spokane valley, a higher percentage report poor mental health at 18.3% compared to 16.9% in Norway.
- Higher depression rates are seen in Spokane valley at 28.7% versus 25.7% in Norway.
- Smoking is more prevalent in Norway at 16.4% compared to 15.3% in Spokane valley.
- Binge drinking is more common in Norway at 19.1% compared to 18.5% in Spokane valley.
- Obesity rates are higher in Norway at 34.9% compared to 29.7% in Spokane valley.
- Disability percentages are higher in Norway at 18.0% compared to 16.0% in Spokane valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norway | Spokane valley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (596) |
High School Diploma | 21.9% (618) | 15.6% (16,779) |
Less than High School | 11.6% (329) | 7.2% (7,741) |
Bachelor's Degree and Higher | 12.2% (346) | 17.1% (18,346) |
Education Levels Comparison: Norway vs Spokane valley
- In Spokane valley, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Norway.
- A higher percentage of residents in Norway hold a high school diploma at 21.9% compared to 15.6% in Spokane valley.
- More residents in Norway have less than a high school education at 11.6% compared to 7.2% in Spokane valley.
- In Spokane valley, a larger share of residents have a bachelor's degree or higher at 17.1% 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.