Demographics details for Scott city, KS vs Commerce, GA
Population Overview
Compare main population characteristics in Scott city, KS vs Commerce, GA.
Data | Scott city | Commerce |
---|---|---|
Population | 4,008 | 7,707 |
Median Age | 36.0 years | 34.8 years |
Median Income | $47,217 | $58,763 |
Married Families | 44.0% | 39.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Scott city vs Commerce
- The population in Commerce is higher at 7,707, compared to 4,008 in Scott city.
- Residents in Scott city have a higher median age of 36.0 years compared to 34.8 years in Commerce.
- Commerce has a higher median income of $58,763, compared to $47,217 in Scott city.
- A higher percentage of married families is found in Scott city at 44.0% compared to 39.0% in Commerce.
- The poverty level is higher in Commerce at 15%, compared to 10% in Scott city.
- The unemployment rate in Scott city is higher at 4.0%, compared to 3.5% in Commerce.
Demographics
Demographics Scott city vs Commerce provide insight into the diversity of the communities to compare.
Demographic | Scott city | Commerce |
---|---|---|
Black | Data is updating | 15 |
White | 69 | 68 |
Asian | 1 | 1 |
Hispanic | 25 | 10 |
Two or More Races | 5 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Scott city vs Commerce
- In Commerce, the percentage of Black residents is higher at 15% compared to 0% in Scott city.
- Scott city has a higher percentage of White residents at 69% compared to 68% in Commerce.
- Both Scott city and Commerce have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Scott city at 25% compared to 10% in Commerce.
- The percentage of residents identifying as two or more races is higher in Commerce at 6%, compared to 5% in Scott city.
- The percentage of American Indian residents is the same in both Scott city and Commerce at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Scott city | Commerce |
---|---|---|
Mental Health Not Good | 15.6% | 18.2% |
Physical Health Not Good | 10.3% | 13.7% |
Depression | 19.7% | 23.8% |
Smoking | 17.6% | 20.5% |
Binge Drinking | 19.2% | 15.9% |
Obesity | 38.1% | 34.4% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Scott city vs Commerce
- In Commerce, a higher percentage report poor mental health at 18.2% compared to 15.6% in Scott city.
- Higher depression rates are seen in Commerce at 23.8% versus 19.7% in Scott city.
- Commerce has a higher smoking rate at 20.5% compared to 17.6% in Scott city.
- Binge drinking is more common in Scott city at 19.2% compared to 15.9% in Commerce.
- Obesity rates are higher in Scott city at 38.1% compared to 34.4% in Commerce.
- There is a higher percentage of disabled individuals in Commerce at 13.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Scott city | Commerce |
---|---|---|
No Schooling | 2.9% (116) | 2.4% (185) |
High School Diploma | 13.5% (543) | 24.3% (1,875) |
Less than High School | 24.2% (968) | 17.5% (1,346) |
Bachelor's Degree and Higher | 12.2% (490) | 11.4% (875) |
Education Levels Comparison: Scott city vs Commerce
- A higher percentage of residents in Scott city have no formal schooling at 2.9% compared to 2.4% in Commerce.
- In Commerce, the rate of residents with high school diplomas is higher at 24.3% compared to 13.5% in Scott city.
- More residents in Scott city have less than a high school education at 24.2% compared to 17.5% in Commerce.
- A higher percentage of residents in Scott city hold a bachelor's degree or higher at 12.2% compared to 11.4% in Commerce.
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.