Demographics details for Dadeville, AL vs Clifton, NJ
Population Overview
Compare main population characteristics in Dadeville, AL vs Clifton, NJ.
| Data | Dadeville | Clifton |
|---|---|---|
| Population | 3,001 | 88,709 |
| Median Age | 42.8 years | 40.2 years |
| Median Income | $46,477 | $94,179 |
| Married Families | 36.0% | 40.0% |
| Poverty Level | 14% | 7% |
| Unemployment Rate | 4.5 | 4.9 |
Population Comparison: Dadeville vs Clifton
- The population in Clifton is higher at 88,709, compared to 3,001 in Dadeville.
- Residents in Dadeville have a higher median age of 42.8 years compared to 40.2 years in Clifton.
- Clifton has a higher median income of $94,179, compared to $46,477 in Dadeville.
- In Clifton, the percentage of married families is higher at 40.0%, compared to 36.0% in Dadeville.
- Dadeville has a higher poverty level at 14% compared to 7% in Clifton.
- Clifton has a higher unemployment rate at 4.9% compared to 4.5% in Dadeville.
Demographics
Demographics Dadeville vs Clifton provide insight into the diversity of the communities to compare.
| Demographic | Dadeville | Clifton |
|---|---|---|
| Black | 35 | 5 |
| White | 64 | 34 |
| Asian | Data is updating | 9 |
| Hispanic | Data is updating | 39 |
| Two or More Races | 1 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dadeville vs Clifton
- A higher percentage of Black residents are in Dadeville at 35% compared to 5% in Clifton.
- Dadeville has a higher percentage of White residents at 64% compared to 34% in Clifton.
- In Clifton, the Asian population stands at 9%, greater than 0% in Dadeville.
- Clifton has a higher percentage of Hispanic residents at 39%, compared to 0% in Dadeville.
- The percentage of residents identifying as two or more races is higher in Clifton at 13%, compared to 1% in Dadeville.
- The percentage of American Indian residents is the same in both Dadeville and Clifton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dadeville | Clifton |
|---|---|---|
| Mental Health Not Good | 21.6% | 14.4% |
| Physical Health Not Good | 16.7% | 10.1% |
| Depression | 23.9% | 16.7% |
| Smoking | 26.5% | 12.0% |
| Binge Drinking | 12.7% | 17.1% |
| Obesity | 46.8% | 28.2% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Dadeville vs Clifton
- More residents in Dadeville report poor mental health at 21.6% compared to 14.4% in Clifton.
- Depression is more prevalent in Dadeville at 23.9% compared to 16.7% in Clifton.
- Smoking is more prevalent in Dadeville at 26.5% compared to 12.0% in Clifton.
- More residents engage in binge drinking in Clifton at 17.1% compared to 12.7% in Dadeville.
- Obesity rates are higher in Dadeville at 46.8% compared to 28.2% in Clifton.
- Disability percentages are higher in Dadeville at 16.0% 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 | Dadeville | Clifton |
|---|---|---|
| No Schooling | 1.1% (32) | 2.2% (1,937) |
| High School Diploma | 21.6% (647) | 21.1% (18,683) |
| Less than High School | 31.9% (956) | 14.9% (13,251) |
| Bachelor's Degree and Higher | 9.3% (279) | 24.9% (22,116) |
Education Levels Comparison: Dadeville vs Clifton
- In Clifton, a larger percentage of residents lack formal schooling at 2.2% compared to 1.1% in Dadeville.
- A higher percentage of residents in Dadeville hold a high school diploma at 21.6% compared to 21.1% in Clifton.
- More residents in Dadeville have less than a high school education at 31.9% 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 9.3% in Dadeville.
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.