Demographics details for Norway, MI vs West winfield, NY
Population Overview
Compare main population characteristics in Norway, MI vs West winfield, NY.
Data | Norway | West winfield |
---|---|---|
Population | 2,827 | 741 |
Median Age | 45.3 years | 40.1 years |
Median Income | $49,261 | $70,000 |
Married Families | 38.0% | 44.0% |
Poverty Level | 15% | 9% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Norway vs West winfield
- In Norway, the population is higher at 2,827, compared to 741 in West winfield.
- Residents in Norway have a higher median age of 45.3 years compared to 40.1 years in West winfield.
- West winfield has a higher median income of $70,000, compared to $49,261 in Norway.
- In West winfield, the percentage of married families is higher at 44.0%, compared to 38.0% in Norway.
- Norway has a higher poverty level at 15% compared to 9% in West winfield.
- The unemployment rate is the same in both Norway and West winfield at 4.5%.
Demographics
Demographics Norway vs West winfield provide insight into the diversity of the communities to compare.
Demographic | Norway | West winfield |
---|---|---|
Black | 1 | Data is updating |
White | 96 | 68 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 15 |
Two or More Races | 3 | 17 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norway vs West winfield
- A higher percentage of Black residents are in Norway at 1% compared to 0% in West winfield.
- Norway has a higher percentage of White residents at 96% compared to 68% in West winfield.
- Both Norway and West winfield have the same percentage of Asian residents at 0%.
- West winfield has a higher percentage of Hispanic residents at 15%, compared to 0% in Norway.
- The percentage of residents identifying as two or more races is higher in West winfield at 17%, compared to 3% in Norway.
- The percentage of American Indian residents is the same in both Norway and West winfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norway | West winfield |
---|---|---|
Mental Health Not Good | 16.9% | 17.2% |
Physical Health Not Good | 10.2% | 11.4% |
Depression | 25.7% | 25.1% |
Smoking | 16.4% | 20.9% |
Binge Drinking | 19.1% | 20.6% |
Obesity | 34.9% | 33.5% |
Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Norway vs West winfield
- In West winfield, a higher percentage report poor mental health at 17.2% compared to 16.9% in Norway.
- Depression is more prevalent in Norway at 25.7% compared to 25.1% in West winfield.
- West winfield has a higher smoking rate at 20.9% compared to 16.4% in Norway.
- More residents engage in binge drinking in West winfield at 20.6% compared to 19.1% in Norway.
- Obesity rates are higher in Norway at 34.9% compared to 33.5% in West winfield.
- Disability percentages are higher in Norway at 18.0% compared to 14.0% in West winfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norway | West winfield |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (8) |
High School Diploma | 21.9% (618) | 27.7% (205) |
Less than High School | 11.6% (329) | 13.2% (98) |
Bachelor's Degree and Higher | 12.2% (346) | 17.1% (127) |
Education Levels Comparison: Norway vs West winfield
- In West winfield, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Norway.
- In West winfield, the rate of residents with high school diplomas is higher at 27.7% compared to 21.9% in Norway.
- The percentage of residents with less than a high school education is higher in West winfield at 13.2%, compared to 11.6% in Norway.
- In West winfield, 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.