Demographics details for Bieber, CA vs Loretto, KY
Population Overview
Compare main population characteristics in Bieber, CA vs Loretto, KY.
| Data | Bieber | Loretto |
|---|---|---|
| Population | 151 | 716 |
| Median Age | 33.6 years | 44.8 years |
| Median Income | $46,667 | $49,688 |
| Married Families | 34.0% | 38.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Bieber vs Loretto
- The population in Loretto is higher at 716, compared to 151 in Bieber.
- The median age in Loretto is higher at 44.8 years, compared to 33.6 years in Bieber.
- Loretto has a higher median income of $49,688, compared to $46,667 in Bieber.
- In Loretto, the percentage of married families is higher at 38.0%, compared to 34.0% in Bieber.
- The poverty level is higher in Loretto at 10%, compared to 0% in Bieber.
- The unemployment rate in Bieber is higher at 5.1%, compared to 3.5% in Loretto.
Demographics
Demographics Bieber vs Loretto provide insight into the diversity of the communities to compare.
| Demographic | Bieber | Loretto |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 99 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bieber vs Loretto
- In Loretto, the percentage of Black residents is higher at 1% compared to 0% in Bieber.
- The percentage of White residents is higher in Loretto at 99% compared to 94% in Bieber.
- Both Bieber and Loretto have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bieber at 3% compared to 0% in Loretto.
- More residents identify as two or more races in Bieber at 3% compared to 0% in Loretto.
- The percentage of American Indian residents is the same in both Bieber and Loretto at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bieber | Loretto |
|---|---|---|
| Mental Health Not Good | 17.6% | 19.9% |
| Physical Health Not Good | 11.9% | 14.6% |
| Depression | 21.1% | 28.6% |
| Smoking | 14.9% | 24.3% |
| Binge Drinking | 18.1% | 15.4% |
| Obesity | 30.8% | 39.3% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Bieber vs Loretto
- In Loretto, a higher percentage report poor mental health at 19.9% compared to 17.6% in Bieber.
- Higher depression rates are seen in Loretto at 28.6% versus 21.1% in Bieber.
- Loretto has a higher smoking rate at 24.3% compared to 14.9% in Bieber.
- Binge drinking is more common in Bieber at 18.1% compared to 15.4% in Loretto.
- Loretto has higher obesity rates at 39.3% compared to 30.8% in Bieber.
- Disability percentages are higher in Bieber at 19.0% compared to 15.0% in Loretto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bieber | Loretto |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.4% (24) |
| High School Diploma | 13.2% (20) | 27.2% (195) |
| Less than High School | 5.3% (8) | 23.2% (166) |
| Bachelor's Degree and Higher | 6.0% (9) | 5.4% (39) |
Education Levels Comparison: Bieber vs Loretto
- In Loretto, a larger percentage of residents lack formal schooling at 3.4% compared to 0.0% in Bieber.
- In Loretto, the rate of residents with high school diplomas is higher at 27.2% compared to 13.2% in Bieber.
- The percentage of residents with less than a high school education is higher in Loretto at 23.2%, compared to 5.3% in Bieber.
- A higher percentage of residents in Bieber hold a bachelor's degree or higher at 6.0% compared to 5.4% in Loretto.
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.