Demographics details for Kimmell, IN vs East orange, NJ
Population Overview
Compare main population characteristics in Kimmell, IN vs East orange, NJ.
| Data | Kimmell | East orange |
|---|---|---|
| Population | 453 | 68,446 |
| Median Age | 37.4 years | 35.1 years |
| Median Income | $36,667 | $58,659 |
| Married Families | 30.0% | 23.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.2 | 8.2 |
Population Comparison: Kimmell vs East orange
- The population in East orange is higher at 68,446, compared to 453 in Kimmell.
- Residents in Kimmell have a higher median age of 37.4 years compared to 35.1 years in East orange.
- East orange has a higher median income of $58,659, compared to $36,667 in Kimmell.
- A higher percentage of married families is found in Kimmell at 30.0% compared to 23.0% in East orange.
- The poverty level is higher in East orange at 18%, compared to 8% in Kimmell.
- East orange has a higher unemployment rate at 8.2% compared to 3.2% in Kimmell.
Demographics
Demographics Kimmell vs East orange provide insight into the diversity of the communities to compare.
| Demographic | Kimmell | East orange |
|---|---|---|
| Black | Data is updating | 81 |
| White | 100 | -1 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 12 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kimmell vs East orange
- In East orange, the percentage of Black residents is higher at 81% compared to 0% in Kimmell.
- Kimmell has a higher percentage of White residents at 100% compared to -1% in East orange.
- In East orange, the Asian population stands at 2%, greater than 0% in Kimmell.
- East orange has a higher percentage of Hispanic residents at 12%, compared to 0% in Kimmell.
- The percentage of residents identifying as two or more races is higher in East orange at 6%, compared to 0% in Kimmell.
- The percentage of American Indian residents is the same in both Kimmell and East orange at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kimmell | East orange |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.3% |
| Physical Health Not Good | 11.3% | 12.6% |
| Depression | 26.2% | 16.5% |
| Smoking | 19.2% | 17.3% |
| Binge Drinking | 17.4% | 13.3% |
| Obesity | 39.8% | 39.1% |
| Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Kimmell vs East orange
- More residents in Kimmell report poor mental health at 16.7% compared to 16.3% in East orange.
- Depression is more prevalent in Kimmell at 26.2% compared to 16.5% in East orange.
- Smoking is more prevalent in Kimmell at 19.2% compared to 17.3% in East orange.
- Binge drinking is more common in Kimmell at 17.4% compared to 13.3% in East orange.
- Obesity rates are higher in Kimmell at 39.8% compared to 39.1% in East orange.
- Disability percentages are higher in Kimmell at 18.0% compared to 12.0% in East orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kimmell | East orange |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (1,070) |
| High School Diploma | 28.7% (130) | 21.0% (14,369) |
| Less than High School | 41.5% (188) | 11.7% (8,024) |
| Bachelor's Degree and Higher | 2.0% (9) | 14.8% (10,108) |
Education Levels Comparison: Kimmell vs East orange
- In East orange, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Kimmell.
- A higher percentage of residents in Kimmell hold a high school diploma at 28.7% compared to 21.0% in East orange.
- More residents in Kimmell have less than a high school education at 41.5% compared to 11.7% in East orange.
- In East orange, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 2.0% in Kimmell.
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.