Demographics details for Norway, MI vs Churchville, VA
Population Overview
Compare main population characteristics in Norway, MI vs Churchville, VA.
Data | Norway | Churchville |
---|---|---|
Population | 2,827 | 61 |
Median Age | 45.3 years | 59.7 years |
Median Income | $49,261 | $81,220 |
Married Families | 38.0% | 59.0% |
Poverty Level | 15% | Data is updating |
Unemployment Rate | 4.5 | Data is updating |
Population Comparison: Norway vs Churchville
- In Norway, the population is higher at 2,827, compared to 61 in Churchville.
- The median age in Churchville is higher at 59.7 years, compared to 45.3 years in Norway.
- Churchville has a higher median income of $81,220, compared to $49,261 in Norway.
- In Churchville, the percentage of married families is higher at 59.0%, compared to 38.0% in Norway.
- Norway has a higher poverty level at 15% compared to 0% in Churchville.
- The unemployment rate in Norway is higher at 4.5%, compared to 0.0% in Churchville.
Demographics
Demographics Norway vs Churchville provide insight into the diversity of the communities to compare.
Demographic | Norway | Churchville |
---|---|---|
Black | 1 | Data is updating |
White | 96 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 3 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norway vs Churchville
- A higher percentage of Black residents are in Norway at 1% compared to 0% in Churchville.
- The percentage of White residents is higher in Churchville at 100% compared to 96% in Norway.
- Both Norway and Churchville have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Norway and Churchville at 0%.
- More residents identify as two or more races in Norway at 3% compared to 0% in Churchville.
- The percentage of American Indian residents is the same in both Norway and Churchville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norway | Churchville |
---|---|---|
Mental Health Not Good | 16.9% | 17.2% |
Physical Health Not Good | 10.2% | 10.3% |
Depression | 25.7% | 24.9% |
Smoking | 16.4% | 16.6% |
Binge Drinking | 19.1% | 18.9% |
Obesity | 34.9% | 34.4% |
Disability Percentage | 18.0% | Data is updating% |
Health Statistics Comparison: Norway vs Churchville
- In Churchville, 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 24.9% in Churchville.
- Churchville has a higher smoking rate at 16.6% compared to 16.4% in Norway.
- Binge drinking is more common in Norway at 19.1% compared to 18.9% in Churchville.
- Obesity rates are higher in Norway at 34.9% compared to 34.4% in Churchville.
- Disability percentages are higher in Norway at 18.0% compared to 0.0% in Churchville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norway | Churchville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 21.9% (618) | 0.0% (Data is updating) |
Less than High School | 11.6% (329) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.2% (346) | 50.8% (31) |
Education Levels Comparison: Norway vs Churchville
- The percentage of residents with no formal schooling is the same in both Norway and Churchville at 0.0%.
- A higher percentage of residents in Norway hold a high school diploma at 21.9% compared to 0.0% in Churchville.
- More residents in Norway have less than a high school education at 11.6% compared to 0.0% in Churchville.
- In Churchville, a larger share of residents have a bachelor's degree or higher at 50.8% 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.