Demographics details for Aurora, CO vs Sidney, KY
Population Overview
Compare main population characteristics in Aurora, CO vs Sidney, KY.
| Data | Aurora | Sidney |
|---|---|---|
| Population | 393,537 | 2,198 |
| Median Age | 35.1 years | 44.8 years |
| Median Income | $78,685 | $48,214 |
| Married Families | 36.0% | 60.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Aurora vs Sidney
- In Aurora, the population is higher at 393,537, compared to 2,198 in Sidney.
- The median age in Sidney is higher at 44.8 years, compared to 35.1 years in Aurora.
- Aurora has a higher median income of $78,685 compared to $48,214 in Sidney.
- In Sidney, the percentage of married families is higher at 60.0%, compared to 36.0% in Aurora.
- The poverty level is higher in Sidney at 12%, compared to 11% in Aurora.
- The unemployment rate is the same in both Aurora and Sidney at 4.2%.
Demographics
Demographics Aurora vs Sidney provide insight into the diversity of the communities to compare.
| Demographic | Aurora | Sidney |
|---|---|---|
| Black | 16 | Data is updating |
| White | 35 | 93 |
| Asian | 6 | Data is updating |
| Hispanic | 29 | 1 |
| Two or More Races | 13 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Aurora vs Sidney
- A higher percentage of Black residents are in Aurora at 16% compared to 0% in Sidney.
- The percentage of White residents is higher in Sidney at 93% compared to 35% in Aurora.
- The Asian population is larger in Aurora at 6% compared to 0% in Sidney.
- The Hispanic community is larger in Aurora at 29% compared to 1% in Sidney.
- More residents identify as two or more races in Aurora at 13% compared to 6% in Sidney.
- A greater percentage of American Indian residents live in Aurora at 1% compared to 0% in Sidney.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aurora | Sidney |
|---|---|---|
| Mental Health Not Good | 15.6% | Data is updating% |
| Physical Health Not Good | 10.8% | Data is updating% |
| Depression | 20.4% | Data is updating% |
| Smoking | 15.8% | Data is updating% |
| Binge Drinking | 17.7% | Data is updating% |
| Obesity | 28.2% | Data is updating% |
| Disability Percentage | 10.0% | 42.0% |
Health Statistics Comparison: Aurora vs Sidney
- More residents in Aurora report poor mental health at 15.6% compared to 0.0% in Sidney.
- Depression is more prevalent in Aurora at 20.4% compared to 0.0% in Sidney.
- Smoking is more prevalent in Aurora at 15.8% compared to 0.0% in Sidney.
- Binge drinking is more common in Aurora at 17.7% compared to 0.0% in Sidney.
- Obesity rates are higher in Aurora at 28.2% compared to 0.0% in Sidney.
- There is a higher percentage of disabled individuals in Sidney at 42.0% compared to 10.0% in Aurora.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Aurora | Sidney |
|---|---|---|
| No Schooling | 1.8% (7,109) | 2.4% (52) |
| High School Diploma | 13.0% (51,046) | 29.3% (644) |
| Less than High School | 14.8% (58,325) | 24.7% (542) |
| Bachelor's Degree and Higher | 20.8% (81,674) | 10.3% (226) |
Education Levels Comparison: Aurora vs Sidney
- In Sidney, a larger percentage of residents lack formal schooling at 2.4% compared to 1.8% in Aurora.
- In Sidney, the rate of residents with high school diplomas is higher at 29.3% compared to 13.0% in Aurora.
- The percentage of residents with less than a high school education is higher in Sidney at 24.7%, compared to 14.8% in Aurora.
- A higher percentage of residents in Aurora hold a bachelor's degree or higher at 20.8% compared to 10.3% in Sidney.
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.