Demographics details for Clifton, NJ vs Blue ridge, GA
Population Overview
Compare main population characteristics in Clifton, NJ vs Blue ridge, GA.
| Data | Clifton | Blue ridge |
|---|---|---|
| Population | 88,709 | 1,226 |
| Median Age | 40.2 years | 47.3 years |
| Median Income | $94,179 | $34,659 |
| Married Families | 40.0% | 42.0% |
| Poverty Level | 7% | 14% |
| Unemployment Rate | 4.9 | 3.5 |
Population Comparison: Clifton vs Blue ridge
- In Clifton, the population is higher at 88,709, compared to 1,226 in Blue ridge.
- The median age in Blue ridge is higher at 47.3 years, compared to 40.2 years in Clifton.
- Clifton has a higher median income of $94,179 compared to $34,659 in Blue ridge.
- In Blue ridge, the percentage of married families is higher at 42.0%, compared to 40.0% in Clifton.
- The poverty level is higher in Blue ridge at 14%, compared to 7% in Clifton.
- The unemployment rate in Clifton is higher at 4.9%, compared to 3.5% in Blue ridge.
Demographics
Demographics Clifton vs Blue ridge provide insight into the diversity of the communities to compare.
| Demographic | Clifton | Blue ridge |
|---|---|---|
| Black | 5 | 3 |
| White | 34 | 93 |
| Asian | 9 | Data is updating |
| Hispanic | 39 | 3 |
| Two or More Races | 13 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clifton vs Blue ridge
- A higher percentage of Black residents are in Clifton at 5% compared to 3% in Blue ridge.
- The percentage of White residents is higher in Blue ridge at 93% compared to 34% in Clifton.
- The Asian population is larger in Clifton at 9% compared to 0% in Blue ridge.
- The Hispanic community is larger in Clifton at 39% compared to 3% in Blue ridge.
- More residents identify as two or more races in Clifton at 13% compared to 1% in Blue ridge.
- The percentage of American Indian residents is the same in both Clifton and Blue ridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clifton | Blue ridge |
|---|---|---|
| Mental Health Not Good | 14.4% | 17.5% |
| Physical Health Not Good | 10.1% | 12.4% |
| Depression | 16.7% | 23.5% |
| Smoking | 12.0% | 18.6% |
| Binge Drinking | 17.1% | 17.3% |
| Obesity | 28.2% | 32.9% |
| Disability Percentage | 11.0% | 27.0% |
Health Statistics Comparison: Clifton vs Blue ridge
- In Blue ridge, a higher percentage report poor mental health at 17.5% compared to 14.4% in Clifton.
- Higher depression rates are seen in Blue ridge at 23.5% versus 16.7% in Clifton.
- Blue ridge has a higher smoking rate at 18.6% compared to 12.0% in Clifton.
- More residents engage in binge drinking in Blue ridge at 17.3% compared to 17.1% in Clifton.
- Blue ridge has higher obesity rates at 32.9% compared to 28.2% in Clifton.
- There is a higher percentage of disabled individuals in Blue ridge at 27.0% 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 | Clifton | Blue ridge |
|---|---|---|
| No Schooling | 2.2% (1,937) | 3.5% (43) |
| High School Diploma | 21.1% (18,683) | 21.1% (259) |
| Less than High School | 14.9% (13,251) | 38.8% (476) |
| Bachelor's Degree and Higher | 24.9% (22,116) | 15.3% (187) |
Education Levels Comparison: Clifton vs Blue ridge
- In Blue ridge, a larger percentage of residents lack formal schooling at 3.5% compared to 2.2% in Clifton.
- Both cities have the same percentage of residents with high school diplomas at 21.1%.
- The percentage of residents with less than a high school education is higher in Blue ridge at 38.8%, compared to 14.9% in Clifton.
- A higher percentage of residents in Clifton hold a bachelor's degree or higher at 24.9% compared to 15.3% in Blue ridge.
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.