Demographics details for Louisville, KY vs Chula, GA
Population Overview
Compare main population characteristics in Louisville, KY vs Chula, GA.
| Data | Louisville | Chula |
|---|---|---|
| Population | 246,161 | 2,087 |
| Median Age | 36.0 years | 49.9 years |
| Median Income | $60,000 | $48,125 |
| Married Families | 45.0% | 48.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Louisville vs Chula
- In Louisville, the population is higher at 246,161, compared to 2,087 in Chula.
- The median age in Chula is higher at 49.9 years, compared to 36.0 years in Louisville.
- Louisville has a higher median income of $60,000 compared to $48,125 in Chula.
- In Chula, the percentage of married families is higher at 48.0%, compared to 45.0% in Louisville.
- Louisville has a higher poverty level at 15% compared to 12% in Chula.
- The unemployment rate in Louisville is higher at 5.0%, compared to 3.5% in Chula.
Demographics
Demographics Louisville vs Chula provide insight into the diversity of the communities to compare.
| Demographic | Louisville | Chula |
|---|---|---|
| Black | 33 | 11 |
| White | 58 | 76 |
| Asian | 3 | Data is updating |
| Hispanic | 6 | 2 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Louisville vs Chula
- A higher percentage of Black residents are in Louisville at 33% compared to 11% in Chula.
- The percentage of White residents is higher in Chula at 76% compared to 58% in Louisville.
- The Asian population is larger in Louisville at 3% compared to 0% in Chula.
- The Hispanic community is larger in Louisville at 6% compared to 2% in Chula.
- The percentage of residents identifying as two or more races is higher in Chula at 11%, compared to 0% in Louisville.
- The percentage of American Indian residents is the same in both Louisville and Chula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Louisville | Chula |
|---|---|---|
| Mental Health Not Good | 19.7% | Data is updating% |
| Physical Health Not Good | 14.7% | Data is updating% |
| Depression | 25.9% | Data is updating% |
| Smoking | 23.3% | Data is updating% |
| Binge Drinking | 14.7% | Data is updating% |
| Obesity | 41.4% | Data is updating% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Louisville vs Chula
- More residents in Louisville report poor mental health at 19.7% compared to 0.0% in Chula.
- Depression is more prevalent in Louisville at 25.9% compared to 0.0% in Chula.
- Smoking is more prevalent in Louisville at 23.3% compared to 0.0% in Chula.
- Binge drinking is more common in Louisville at 14.7% compared to 0.0% in Chula.
- Obesity rates are higher in Louisville at 41.4% compared to 0.0% in Chula.
- There is a higher percentage of disabled individuals in Chula at 16.0% compared to 0.0% in Louisville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Louisville | Chula |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (16) |
| High School Diploma | 0.0% (Data is updating) | 24.1% (504) |
| Less than High School | 0.0% (Data is updating) | 11.0% (229) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 15.7% (328) |
Education Levels Comparison: Louisville vs Chula
- In Chula, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Louisville.
- In Chula, the rate of residents with high school diplomas is higher at 24.1% compared to 0.0% in Louisville.
- The percentage of residents with less than a high school education is higher in Chula at 11.0%, compared to 0.0% in Louisville.
- In Chula, a larger share of residents have a bachelor's degree or higher at 15.7% compared to 0.0% in Louisville.
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.