Demographics details for Millersburg, KY vs Downey, CA
Population Overview
Compare main population characteristics in Millersburg, KY vs Downey, CA.
| Data | Millersburg | Downey |
|---|---|---|
| Population | 741 | 109,934 |
| Median Age | 54.4 years | 36.5 years |
| Median Income | $40,769 | $84,236 |
| Married Families | 35.0% | 36.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 3.5 | 5.6 |
Population Comparison: Millersburg vs Downey
- The population in Downey is higher at 109,934, compared to 741 in Millersburg.
- Residents in Millersburg have a higher median age of 54.4 years compared to 36.5 years in Downey.
- Downey has a higher median income of $84,236, compared to $40,769 in Millersburg.
- In Downey, the percentage of married families is higher at 36.0%, compared to 35.0% in Millersburg.
- Millersburg has a higher poverty level at 16% compared to 12% in Downey.
- Downey has a higher unemployment rate at 5.6% compared to 3.5% in Millersburg.
Demographics
Demographics Millersburg vs Downey provide insight into the diversity of the communities to compare.
| Demographic | Millersburg | Downey |
|---|---|---|
| Black | 11 | 4 |
| White | 82 | -7 |
| Asian | Data is updating | 7 |
| Hispanic | 1 | 76 |
| Two or More Races | 6 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Millersburg vs Downey
- A higher percentage of Black residents are in Millersburg at 11% compared to 4% in Downey.
- Millersburg has a higher percentage of White residents at 82% compared to -7% in Downey.
- In Downey, the Asian population stands at 7%, greater than 0% in Millersburg.
- Downey has a higher percentage of Hispanic residents at 76%, compared to 1% in Millersburg.
- The percentage of residents identifying as two or more races is higher in Downey at 19%, compared to 6% in Millersburg.
- In Downey, the percentage of American Indian residents is higher at 1%, compared to 0% in Millersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Millersburg | Downey |
|---|---|---|
| Mental Health Not Good | 20.0% | 14.8% |
| Physical Health Not Good | 15.2% | 11.2% |
| Depression | 28.0% | 15.3% |
| Smoking | 24.5% | 9.9% |
| Binge Drinking | 14.7% | 15.6% |
| Obesity | 38.3% | 29.4% |
| Disability Percentage | 28.0% | 10.0% |
Health Statistics Comparison: Millersburg vs Downey
- More residents in Millersburg report poor mental health at 20.0% compared to 14.8% in Downey.
- Depression is more prevalent in Millersburg at 28.0% compared to 15.3% in Downey.
- Smoking is more prevalent in Millersburg at 24.5% compared to 9.9% in Downey.
- More residents engage in binge drinking in Downey at 15.6% compared to 14.7% in Millersburg.
- Obesity rates are higher in Millersburg at 38.3% compared to 29.4% in Downey.
- Disability percentages are higher in Millersburg at 28.0% compared to 10.0% in Downey.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Millersburg | Downey |
|---|---|---|
| No Schooling | 0.5% (4) | 3.2% (3,558) |
| High School Diploma | 12.6% (93) | 15.9% (17,437) |
| Less than High School | 32.7% (242) | 26.9% (29,528) |
| Bachelor's Degree and Higher | 11.9% (88) | 17.6% (19,359) |
Education Levels Comparison: Millersburg vs Downey
- In Downey, a larger percentage of residents lack formal schooling at 3.2% compared to 0.5% in Millersburg.
- In Downey, the rate of residents with high school diplomas is higher at 15.9% compared to 12.6% in Millersburg.
- More residents in Millersburg have less than a high school education at 32.7% compared to 26.9% in Downey.
- In Downey, a larger share of residents have a bachelor's degree or higher at 17.6% compared to 11.9% in Millersburg.
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.