Demographics details for Murray, KY vs Carrollton, GA
Population Overview
Compare main population characteristics in Murray, KY vs Carrollton, GA.
| Data | Murray | Carrollton |
|---|---|---|
| Population | 17,522 | 27,262 |
| Median Age | 25.6 years | 27.5 years |
| Median Income | $37,421 | $46,722 |
| Married Families | 26.0% | 27.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 3.8 | 5.4 |
Population Comparison: Murray vs Carrollton
- The population in Carrollton is higher at 27,262, compared to 17,522 in Murray.
- The median age in Carrollton is higher at 27.5 years, compared to 25.6 years in Murray.
- Carrollton has a higher median income of $46,722, compared to $37,421 in Murray.
- In Carrollton, the percentage of married families is higher at 27.0%, compared to 26.0% in Murray.
- The poverty level is higher in Carrollton at 15%, compared to 0% in Murray.
- Carrollton has a higher unemployment rate at 5.4% compared to 3.8% in Murray.
Demographics
Demographics Murray vs Carrollton provide insight into the diversity of the communities to compare.
| Demographic | Murray | Carrollton |
|---|---|---|
| Black | 6 | 36 |
| White | 86 | 47 |
| Asian | 3 | 1 |
| Hispanic | 2 | 9 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Murray vs Carrollton
- In Carrollton, the percentage of Black residents is higher at 36% compared to 6% in Murray.
- Murray has a higher percentage of White residents at 86% compared to 47% in Carrollton.
- The Asian population is larger in Murray at 3% compared to 1% in Carrollton.
- Carrollton has a higher percentage of Hispanic residents at 9%, compared to 2% in Murray.
- The percentage of residents identifying as two or more races is higher in Carrollton at 5%, compared to 3% in Murray.
- In Carrollton, the percentage of American Indian residents is higher at 2%, compared to 0% in Murray.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Murray | Carrollton |
|---|---|---|
| Mental Health Not Good | 19.9% | 18.0% |
| Physical Health Not Good | 14.1% | 13.8% |
| Depression | 28.4% | 20.9% |
| Smoking | 22.0% | 19.2% |
| Binge Drinking | 14.0% | 14.7% |
| Obesity | 41.3% | 37.8% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Murray vs Carrollton
- More residents in Murray report poor mental health at 19.9% compared to 18.0% in Carrollton.
- Depression is more prevalent in Murray at 28.4% compared to 20.9% in Carrollton.
- Smoking is more prevalent in Murray at 22.0% compared to 19.2% in Carrollton.
- More residents engage in binge drinking in Carrollton at 14.7% compared to 14.0% in Murray.
- Obesity rates are higher in Murray at 41.3% compared to 37.8% in Carrollton.
- Disability percentages are higher in Murray at 16.0% compared to 14.0% in Carrollton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Murray | Carrollton |
|---|---|---|
| No Schooling | 0.9% (166) | 0.8% (212) |
| High School Diploma | 10.5% (1,833) | 12.6% (3,426) |
| Less than High School | 8.7% (1,531) | 11.5% (3,126) |
| Bachelor's Degree and Higher | 18.2% (3,185) | 16.9% (4,617) |
Education Levels Comparison: Murray vs Carrollton
- A higher percentage of residents in Murray have no formal schooling at 0.9% compared to 0.8% in Carrollton.
- In Carrollton, the rate of residents with high school diplomas is higher at 12.6% compared to 10.5% in Murray.
- The percentage of residents with less than a high school education is higher in Carrollton at 11.5%, compared to 8.7% in Murray.
- A higher percentage of residents in Murray hold a bachelor's degree or higher at 18.2% compared to 16.9% in Carrollton.
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.