Demographics details for Norway, IA vs Spring valley, NY
Population Overview
Compare main population characteristics in Norway, IA vs Spring valley, NY.
Data | Norway | Spring valley |
---|---|---|
Population | 466 | 32,884 |
Median Age | 48.3 years | 27.5 years |
Median Income | $90,000 | $50,749 |
Married Families | 51.0% | 32.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Norway vs Spring valley
- The population in Spring valley is higher at 32,884, compared to 466 in Norway.
- Residents in Norway have a higher median age of 48.3 years compared to 27.5 years in Spring valley.
- Norway has a higher median income of $90,000 compared to $50,749 in Spring valley.
- A higher percentage of married families is found in Norway at 51.0% compared to 32.0% in Spring valley.
- The poverty level is higher in Spring valley at 10%, compared to 0% in Norway.
- Spring valley has a higher unemployment rate at 3.2% compared to 2.5% in Norway.
Demographics
Demographics Norway vs Spring valley provide insight into the diversity of the communities to compare.
Demographic | Norway | Spring valley |
---|---|---|
Black | Data is updating | 32 |
White | 100 | 31 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 29 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norway vs Spring valley
- In Spring valley, the percentage of Black residents is higher at 32% compared to 0% in Norway.
- Norway has a higher percentage of White residents at 100% compared to 31% in Spring valley.
- In Spring valley, the Asian population stands at 3%, greater than 0% in Norway.
- Spring valley has a higher percentage of Hispanic residents at 29%, compared to 0% in Norway.
- The percentage of residents identifying as two or more races is higher in Spring valley at 5%, compared to 0% in Norway.
- The percentage of American Indian residents is the same in both Norway and Spring valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norway | Spring valley |
---|---|---|
Mental Health Not Good | 14.2% | 16.7% |
Physical Health Not Good | 8.4% | 13.9% |
Depression | 17.5% | 18.7% |
Smoking | 14.7% | 22.3% |
Binge Drinking | 22.9% | 12.6% |
Obesity | 36.8% | 34.3% |
Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Norway vs Spring valley
- In Spring valley, a higher percentage report poor mental health at 16.7% compared to 14.2% in Norway.
- Higher depression rates are seen in Spring valley at 18.7% versus 17.5% in Norway.
- Spring valley has a higher smoking rate at 22.3% compared to 14.7% in Norway.
- Binge drinking is more common in Norway at 22.9% compared to 12.6% in Spring valley.
- Obesity rates are higher in Norway at 36.8% compared to 34.3% in Spring valley.
- Disability percentages are higher in Norway at 13.0% compared to 8.0% in Spring valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norway | Spring valley |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.7% (1,224) |
High School Diploma | 33.5% (156) | 13.1% (4,315) |
Less than High School | 5.6% (26) | 20.5% (6,742) |
Bachelor's Degree and Higher | 10.5% (49) | 10.0% (3,273) |
Education Levels Comparison: Norway vs Spring valley
- In Spring valley, a larger percentage of residents lack formal schooling at 3.7% compared to 0.0% in Norway.
- A higher percentage of residents in Norway hold a high school diploma at 33.5% compared to 13.1% in Spring valley.
- The percentage of residents with less than a high school education is higher in Spring valley at 20.5%, compared to 5.6% in Norway.
- A higher percentage of residents in Norway hold a bachelor's degree or higher at 10.5% compared to 10.0% in Spring valley.
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.