Demographics details for Butler, GA vs Southington, CT
Population Overview
Compare main population characteristics in Butler, GA vs Southington, CT.
Data | Butler | Southington |
---|---|---|
Population | 1,827 | 43,807 |
Median Age | 33.5 years | Data is updating |
Median Income | $27,656 | $Data is updating |
Married Families | 24.0% | Data is updating |
Poverty Level | 20% | Data is updating |
Unemployment Rate | 4.5 | 2.2 |
Population Comparison: Butler vs Southington
- The population in Southington is higher at 43,807, compared to 1,827 in Butler.
- Residents in Butler have a higher median age of 33.5 years compared to 0.0 years in Southington.
- Butler has a higher median income of $27,656 compared to $0 in Southington.
- A higher percentage of married families is found in Butler at 24.0% compared to 0.0% in Southington.
- Butler has a higher poverty level at 20% compared to 0% in Southington.
- The unemployment rate in Butler is higher at 4.5%, compared to 2.2% in Southington.
Demographics
Demographics Butler vs Southington provide insight into the diversity of the communities to compare.
Demographic | Butler | Southington |
---|---|---|
Black | 70 | Data is updating |
White | 22 | 100 |
Asian | 2 | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Southington
- A higher percentage of Black residents are in Butler at 70% compared to 0% in Southington.
- The percentage of White residents is higher in Southington at 100% compared to 22% in Butler.
- The Asian population is larger in Butler at 2% compared to 0% in Southington.
- The Hispanic community is larger in Butler at 2% compared to 0% in Southington.
- More residents identify as two or more races in Butler at 4% compared to 0% in Southington.
- The percentage of American Indian residents is the same in both Butler and Southington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Butler | Southington |
---|---|---|
Mental Health Not Good | 21.2% | Data is updating% |
Physical Health Not Good | 16.9% | Data is updating% |
Depression | 23.4% | Data is updating% |
Smoking | 25.7% | Data is updating% |
Binge Drinking | 12.7% | Data is updating% |
Obesity | 46.9% | Data is updating% |
Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Butler vs Southington
- More residents in Butler report poor mental health at 21.2% compared to 0.0% in Southington.
- Depression is more prevalent in Butler at 23.4% compared to 0.0% in Southington.
- Smoking is more prevalent in Butler at 25.7% compared to 0.0% in Southington.
- Binge drinking is more common in Butler at 12.7% compared to 0.0% in Southington.
- Obesity rates are higher in Butler at 46.9% compared to 0.0% in Southington.
- Disability percentages are higher in Butler at 17.0% compared to 0.0% in Southington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Butler | Southington |
---|---|---|
No Schooling | 0.2% (4) | 0.0% (Data is updating) |
High School Diploma | 28.5% (520) | 0.0% (Data is updating) |
Less than High School | 23.9% (436) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 8.0% (147) | 0.0% (Data is updating) |
Education Levels Comparison: Butler vs Southington
- A higher percentage of residents in Butler have no formal schooling at 0.2% compared to 0.0% in Southington.
- A higher percentage of residents in Butler hold a high school diploma at 28.5% compared to 0.0% in Southington.
- More residents in Butler have less than a high school education at 23.9% compared to 0.0% in Southington.
- A higher percentage of residents in Butler hold a bachelor's degree or higher at 8.0% compared to 0.0% in Southington.
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.