Demographics details for Goessel, KS vs Georgetown, IN
Population Overview
Compare main population characteristics in Goessel, KS vs Georgetown, IN.
Data | Goessel | Georgetown |
---|---|---|
Population | 562 | 4,497 |
Median Age | 44.7 years | 42.0 years |
Median Income | $55,972 | $65,000 |
Married Families | 36.0% | 65.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Goessel vs Georgetown
- The population in Georgetown is higher at 4,497, compared to 562 in Goessel.
- Residents in Goessel have a higher median age of 44.7 years compared to 42.0 years in Georgetown.
- Georgetown has a higher median income of $65,000, compared to $55,972 in Goessel.
- In Georgetown, the percentage of married families is higher at 65.0%, compared to 36.0% in Goessel.
- Goessel has a higher poverty level at 7% compared to 5% in Georgetown.
- The unemployment rate in Goessel is higher at 3.5%, compared to 3.0% in Georgetown.
Demographics
Demographics Goessel vs Georgetown provide insight into the diversity of the communities to compare.
Demographic | Goessel | Georgetown |
---|---|---|
Black | Data is updating | 5 |
White | 94 | 90 |
Asian | Data is updating | 2 |
Hispanic | 2 | 2 |
Two or More Races | 4 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Goessel vs Georgetown
- In Georgetown, the percentage of Black residents is higher at 5% compared to 0% in Goessel.
- Goessel has a higher percentage of White residents at 94% compared to 90% in Georgetown.
- In Georgetown, the Asian population stands at 2%, greater than 0% in Goessel.
- The percentage of Hispanic residents is the same in both Goessel and Georgetown at 2%.
- More residents identify as two or more races in Goessel at 4% compared to 1% in Georgetown.
- The percentage of American Indian residents is the same in both Goessel and Georgetown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Goessel | Georgetown |
---|---|---|
Mental Health Not Good | 15.8% | Data is updating% |
Physical Health Not Good | 9.7% | Data is updating% |
Depression | 21.8% | Data is updating% |
Smoking | 17.4% | Data is updating% |
Binge Drinking | 18.6% | Data is updating% |
Obesity | 36.6% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Goessel vs Georgetown
- More residents in Goessel report poor mental health at 15.8% compared to 0.0% in Georgetown.
- Depression is more prevalent in Goessel at 21.8% compared to 0.0% in Georgetown.
- Smoking is more prevalent in Goessel at 17.4% compared to 0.0% in Georgetown.
- Binge drinking is more common in Goessel at 18.6% compared to 0.0% in Georgetown.
- Obesity rates are higher in Goessel at 36.6% compared to 0.0% in Georgetown.
- Disability percentages are higher in Goessel at 15.0% 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 | Goessel | Georgetown |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 19.9% (112) | 0.0% (Data is updating) |
Less than High School | 6.4% (36) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 19.0% (107) | 0.0% (Data is updating) |
Education Levels Comparison: Goessel vs Georgetown
- The percentage of residents with no formal schooling is the same in both Goessel and Georgetown at 0.0%.
- A higher percentage of residents in Goessel hold a high school diploma at 19.9% compared to 0.0% in Georgetown.
- More residents in Goessel have less than a high school education at 6.4% compared to 0.0% in Georgetown.
- A higher percentage of residents in Goessel hold a bachelor's degree or higher at 19.0% 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.