Demographics details for Norway, IA vs Georgetown, IN
Population Overview
Compare main population characteristics in Norway, IA vs Georgetown, IN.
Data | Norway | Georgetown |
---|---|---|
Population | 466 | 4,497 |
Median Age | 48.3 years | 42.0 years |
Median Income | $90,000 | $65,000 |
Married Families | 51.0% | 65.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Norway vs Georgetown
- The population in Georgetown is higher at 4,497, compared to 466 in Norway.
- Residents in Norway have a higher median age of 48.3 years compared to 42.0 years in Georgetown.
- Norway has a higher median income of $90,000 compared to $65,000 in Georgetown.
- In Georgetown, the percentage of married families is higher at 65.0%, compared to 51.0% in Norway.
- The poverty level is higher in Georgetown at 5%, compared to 0% in Norway.
- Georgetown has a higher unemployment rate at 3.0% compared to 2.5% in Norway.
Demographics
Demographics Norway vs Georgetown provide insight into the diversity of the communities to compare.
Demographic | Norway | Georgetown |
---|---|---|
Black | Data is updating | 5 |
White | 100 | 90 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 2 |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norway vs Georgetown
- In Georgetown, the percentage of Black residents is higher at 5% compared to 0% in Norway.
- Norway has a higher percentage of White residents at 100% compared to 90% in Georgetown.
- In Georgetown, the Asian population stands at 2%, greater than 0% in Norway.
- Georgetown 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 Georgetown at 1%, compared to 0% in Norway.
- The percentage of American Indian residents is the same in both Norway and Georgetown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norway | Georgetown |
---|---|---|
Mental Health Not Good | 14.2% | Data is updating% |
Physical Health Not Good | 8.4% | Data is updating% |
Depression | 17.5% | Data is updating% |
Smoking | 14.7% | Data is updating% |
Binge Drinking | 22.9% | Data is updating% |
Obesity | 36.8% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Norway vs Georgetown
- More residents in Norway report poor mental health at 14.2% compared to 0.0% in Georgetown.
- Depression is more prevalent in Norway at 17.5% compared to 0.0% in Georgetown.
- Smoking is more prevalent in Norway at 14.7% compared to 0.0% in Georgetown.
- Binge drinking is more common in Norway at 22.9% compared to 0.0% in Georgetown.
- Obesity rates are higher in Norway at 36.8% compared to 0.0% in Georgetown.
- Disability percentages are higher in Norway at 13.0% compared to 0.0% in Georgetown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norway | Georgetown |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 33.5% (156) | 0.0% (Data is updating) |
Less than High School | 5.6% (26) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 10.5% (49) | 0.0% (Data is updating) |
Education Levels Comparison: Norway vs Georgetown
- The percentage of residents with no formal schooling is the same in both Norway and Georgetown at 0.0%.
- A higher percentage of residents in Norway hold a high school diploma at 33.5% compared to 0.0% in Georgetown.
- More residents in Norway have less than a high school education at 5.6% compared to 0.0% in Georgetown.
- A higher percentage of residents in Norway hold a bachelor's degree or higher at 10.5% compared to 0.0% in Georgetown.
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.