Demographics details for Carbon cliff, IL vs Lebanon, OH
Population Overview
Compare main population characteristics in Carbon cliff, IL vs Lebanon, OH.
| Data | Carbon cliff | Lebanon |
|---|---|---|
| Population | 1,798 | 21,483 |
| Median Age | 33.5 years | 37.8 years |
| Median Income | $50,208 | $75,665 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 5.3 | 3.2 |
Population Comparison: Carbon cliff vs Lebanon
- The population in Lebanon is higher at 21,483, compared to 1,798 in Carbon cliff.
- The median age in Lebanon is higher at 37.8 years, compared to 33.5 years in Carbon cliff.
- Lebanon has a higher median income of $75,665, compared to $50,208 in Carbon cliff.
- In Lebanon, the percentage of married families is higher at 42.0%, compared to 37.0% in Carbon cliff.
- Carbon cliff has a higher poverty level at 12% compared to 5% in Lebanon.
- The unemployment rate in Carbon cliff is higher at 5.3%, compared to 3.2% in Lebanon.
Demographics
Demographics Carbon cliff vs Lebanon provide insight into the diversity of the communities to compare.
| Demographic | Carbon cliff | Lebanon |
|---|---|---|
| Black | 10 | 2 |
| White | 65 | 91 |
| Asian | Data is updating | 2 |
| Hispanic | 14 | 3 |
| Two or More Races | 11 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Carbon cliff vs Lebanon
- A higher percentage of Black residents are in Carbon cliff at 10% compared to 2% in Lebanon.
- The percentage of White residents is higher in Lebanon at 91% compared to 65% in Carbon cliff.
- In Lebanon, the Asian population stands at 2%, greater than 0% in Carbon cliff.
- The Hispanic community is larger in Carbon cliff at 14% compared to 3% in Lebanon.
- More residents identify as two or more races in Carbon cliff at 11% compared to 2% in Lebanon.
- The percentage of American Indian residents is the same in both Carbon cliff and Lebanon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Carbon cliff | Lebanon |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.8% |
| Physical Health Not Good | 11.7% | 11.0% |
| Depression | 22.0% | 23.0% |
| Smoking | 18.7% | 18.3% |
| Binge Drinking | 16.8% | 19.1% |
| Obesity | 38.2% | 38.8% |
| Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Carbon cliff vs Lebanon
- More residents in Carbon cliff report poor mental health at 17.0% compared to 16.8% in Lebanon.
- Higher depression rates are seen in Lebanon at 23.0% versus 22.0% in Carbon cliff.
- Smoking is more prevalent in Carbon cliff at 18.7% compared to 18.3% in Lebanon.
- More residents engage in binge drinking in Lebanon at 19.1% compared to 16.8% in Carbon cliff.
- Lebanon has higher obesity rates at 38.8% compared to 38.2% in Carbon cliff.
- Disability percentages are higher in Carbon cliff at 23.0% compared to 13.0% in Lebanon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Carbon cliff | Lebanon |
|---|---|---|
| No Schooling | 0.3% (5) | 0.6% (130) |
| High School Diploma | 18.1% (325) | 20.6% (4,431) |
| Less than High School | 28.2% (507) | 5.5% (1,189) |
| Bachelor's Degree and Higher | 5.5% (98) | 19.3% (4,142) |
Education Levels Comparison: Carbon cliff vs Lebanon
- In Lebanon, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Carbon cliff.
- In Lebanon, the rate of residents with high school diplomas is higher at 20.6% compared to 18.1% in Carbon cliff.
- More residents in Carbon cliff have less than a high school education at 28.2% compared to 5.5% in Lebanon.
- In Lebanon, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 5.5% in Carbon cliff.
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.