Demographics details for Banning, CA vs Elizabethtown, KY
Population Overview
Compare main population characteristics in Banning, CA vs Elizabethtown, KY.
| Data | Banning | Elizabethtown |
|---|---|---|
| Population | 30,683 | 31,892 |
| Median Age | 42.8 years | 37.4 years |
| Median Income | $54,083 | $54,493 |
| Married Families | 35.0% | 33.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 6.5 | 4.8 |
Population Comparison: Banning vs Elizabethtown
- The population in Elizabethtown is higher at 31,892, compared to 30,683 in Banning.
- Residents in Banning have a higher median age of 42.8 years compared to 37.4 years in Elizabethtown.
- Elizabethtown has a higher median income of $54,493, compared to $54,083 in Banning.
- A higher percentage of married families is found in Banning at 35.0% compared to 33.0% in Elizabethtown.
- Banning has a higher poverty level at 14% compared to 10% in Elizabethtown.
- The unemployment rate in Banning is higher at 6.5%, compared to 4.8% in Elizabethtown.
Demographics
Demographics Banning vs Elizabethtown provide insight into the diversity of the communities to compare.
| Demographic | Banning | Elizabethtown |
|---|---|---|
| Black | 7 | 11 |
| White | 21 | 75 |
| Asian | 5 | 3 |
| Hispanic | 48 | 5 |
| Two or More Races | 17 | 6 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Banning vs Elizabethtown
- In Elizabethtown, the percentage of Black residents is higher at 11% compared to 7% in Banning.
- The percentage of White residents is higher in Elizabethtown at 75% compared to 21% in Banning.
- The Asian population is larger in Banning at 5% compared to 3% in Elizabethtown.
- The Hispanic community is larger in Banning at 48% compared to 5% in Elizabethtown.
- More residents identify as two or more races in Banning at 17% compared to 6% in Elizabethtown.
- A greater percentage of American Indian residents live in Banning at 2% compared to 0% in Elizabethtown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Banning | Elizabethtown |
|---|---|---|
| Mental Health Not Good | 18.1% | 18.4% |
| Physical Health Not Good | 13.9% | 13.3% |
| Depression | 18.5% | 27.4% |
| Smoking | 17.2% | 21.3% |
| Binge Drinking | 15.2% | 14.5% |
| Obesity | 39.1% | 42.0% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Banning vs Elizabethtown
- In Elizabethtown, a higher percentage report poor mental health at 18.4% compared to 18.1% in Banning.
- Higher depression rates are seen in Elizabethtown at 27.4% versus 18.5% in Banning.
- Elizabethtown has a higher smoking rate at 21.3% compared to 17.2% in Banning.
- Binge drinking is more common in Banning at 15.2% compared to 14.5% in Elizabethtown.
- Elizabethtown has higher obesity rates at 42.0% compared to 39.1% in Banning.
- Disability percentages are higher in Banning at 20.0% compared to 14.0% in Elizabethtown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Banning | Elizabethtown |
|---|---|---|
| No Schooling | 2.4% (749) | 0.5% (145) |
| High School Diploma | 18.4% (5,655) | 13.5% (4,305) |
| Less than High School | 21.9% (6,720) | 8.8% (2,814) |
| Bachelor's Degree and Higher | 11.4% (3,495) | 19.5% (6,222) |
Education Levels Comparison: Banning vs Elizabethtown
- A higher percentage of residents in Banning have no formal schooling at 2.4% compared to 0.5% in Elizabethtown.
- A higher percentage of residents in Banning hold a high school diploma at 18.4% compared to 13.5% in Elizabethtown.
- More residents in Banning have less than a high school education at 21.9% compared to 8.8% in Elizabethtown.
- In Elizabethtown, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 11.4% in Banning.
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.