Demographics details for Sidney, KY vs Clifton, NJ
Population Overview
Compare main population characteristics in Sidney, KY vs Clifton, NJ.
| Data | Sidney | Clifton |
|---|---|---|
| Population | 2,198 | 88,709 |
| Median Age | 44.8 years | 40.2 years |
| Median Income | $48,214 | $94,179 |
| Married Families | 60.0% | 40.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 4.2 | 4.9 |
Population Comparison: Sidney vs Clifton
- The population in Clifton is higher at 88,709, compared to 2,198 in Sidney.
- Residents in Sidney have a higher median age of 44.8 years compared to 40.2 years in Clifton.
- Clifton has a higher median income of $94,179, compared to $48,214 in Sidney.
- A higher percentage of married families is found in Sidney at 60.0% compared to 40.0% in Clifton.
- Sidney has a higher poverty level at 12% compared to 7% in Clifton.
- Clifton has a higher unemployment rate at 4.9% compared to 4.2% in Sidney.
Demographics
Demographics Sidney vs Clifton provide insight into the diversity of the communities to compare.
| Demographic | Sidney | Clifton |
|---|---|---|
| Black | Data is updating | 5 |
| White | 93 | 34 |
| Asian | Data is updating | 9 |
| Hispanic | 1 | 39 |
| Two or More Races | 6 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sidney vs Clifton
- In Clifton, the percentage of Black residents is higher at 5% compared to 0% in Sidney.
- Sidney has a higher percentage of White residents at 93% compared to 34% in Clifton.
- In Clifton, the Asian population stands at 9%, greater than 0% in Sidney.
- Clifton has a higher percentage of Hispanic residents at 39%, compared to 1% in Sidney.
- The percentage of residents identifying as two or more races is higher in Clifton at 13%, compared to 6% in Sidney.
- The percentage of American Indian residents is the same in both Sidney and Clifton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sidney | Clifton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.4% |
| Physical Health Not Good | Data is updating% | 10.1% |
| Depression | Data is updating% | 16.7% |
| Smoking | Data is updating% | 12.0% |
| Binge Drinking | Data is updating% | 17.1% |
| Obesity | Data is updating% | 28.2% |
| Disability Percentage | 42.0% | 11.0% |
Health Statistics Comparison: Sidney vs Clifton
- In Clifton, a higher percentage report poor mental health at 14.4% compared to 0.0% in Sidney.
- Higher depression rates are seen in Clifton at 16.7% versus 0.0% in Sidney.
- Clifton has a higher smoking rate at 12.0% compared to 0.0% in Sidney.
- More residents engage in binge drinking in Clifton at 17.1% compared to 0.0% in Sidney.
- Clifton has higher obesity rates at 28.2% compared to 0.0% in Sidney.
- Disability percentages are higher in Sidney at 42.0% compared to 11.0% in Clifton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sidney | Clifton |
|---|---|---|
| No Schooling | 2.4% (52) | 2.2% (1,937) |
| High School Diploma | 29.3% (644) | 21.1% (18,683) |
| Less than High School | 24.7% (542) | 14.9% (13,251) |
| Bachelor's Degree and Higher | 10.3% (226) | 24.9% (22,116) |
Education Levels Comparison: Sidney vs Clifton
- A higher percentage of residents in Sidney have no formal schooling at 2.4% compared to 2.2% in Clifton.
- A higher percentage of residents in Sidney hold a high school diploma at 29.3% compared to 21.1% in Clifton.
- More residents in Sidney have less than a high school education at 24.7% compared to 14.9% in Clifton.
- In Clifton, a larger share of residents have a bachelor's degree or higher at 24.9% 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.