Demographics details for Campbell, OH vs Independence, KY
Population Overview
Compare main population characteristics in Campbell, OH vs Independence, KY.
| Data | Campbell | Independence |
|---|---|---|
| Population | 7,743 | 29,326 |
| Median Age | 39.7 years | 34.7 years |
| Median Income | $43,176 | $92,355 |
| Married Families | 26.0% | 42.0% |
| Poverty Level | 24% | 6% |
| Unemployment Rate | 6.8 | 4.2 |
Population Comparison: Campbell vs Independence
- The population in Independence is higher at 29,326, compared to 7,743 in Campbell.
- Residents in Campbell have a higher median age of 39.7 years compared to 34.7 years in Independence.
- Independence has a higher median income of $92,355, compared to $43,176 in Campbell.
- In Independence, the percentage of married families is higher at 42.0%, compared to 26.0% in Campbell.
- Campbell has a higher poverty level at 24% compared to 6% in Independence.
- The unemployment rate in Campbell is higher at 6.8%, compared to 4.2% in Independence.
Demographics
Demographics Campbell vs Independence provide insight into the diversity of the communities to compare.
| Demographic | Campbell | Independence |
|---|---|---|
| Black | 20 | 1 |
| White | 40 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 27 | 1 |
| Two or More Races | 13 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Campbell vs Independence
- A higher percentage of Black residents are in Campbell at 20% compared to 1% in Independence.
- The percentage of White residents is higher in Independence at 94% compared to 40% in Campbell.
- In Independence, the Asian population stands at 1%, greater than 0% in Campbell.
- The Hispanic community is larger in Campbell at 27% compared to 1% in Independence.
- More residents identify as two or more races in Campbell at 13% compared to 3% in Independence.
- The percentage of American Indian residents is the same in both Campbell and Independence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Campbell | Independence |
|---|---|---|
| Mental Health Not Good | 21.8% | 16.1% |
| Physical Health Not Good | 17.3% | 10.7% |
| Depression | 26.9% | 25.6% |
| Smoking | 29.5% | 16.7% |
| Binge Drinking | 14.3% | 17.5% |
| Obesity | 47.4% | 32.8% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Campbell vs Independence
- More residents in Campbell report poor mental health at 21.8% compared to 16.1% in Independence.
- Depression is more prevalent in Campbell at 26.9% compared to 25.6% in Independence.
- Smoking is more prevalent in Campbell at 29.5% compared to 16.7% in Independence.
- More residents engage in binge drinking in Independence at 17.5% compared to 14.3% in Campbell.
- Obesity rates are higher in Campbell at 47.4% compared to 32.8% in Independence.
- Disability percentages are higher in Campbell at 15.0% compared to 11.0% in Independence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Campbell | Independence |
|---|---|---|
| No Schooling | 1.2% (96) | 1.1% (337) |
| High School Diploma | 22.6% (1,748) | 14.6% (4,279) |
| Less than High School | 19.7% (1,524) | 6.6% (1,931) |
| Bachelor's Degree and Higher | 11.4% (886) | 22.3% (6,549) |
Education Levels Comparison: Campbell vs Independence
- A higher percentage of residents in Campbell have no formal schooling at 1.2% compared to 1.1% in Independence.
- A higher percentage of residents in Campbell hold a high school diploma at 22.6% compared to 14.6% in Independence.
- More residents in Campbell have less than a high school education at 19.7% compared to 6.6% in Independence.
- In Independence, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 11.4% in Campbell.
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.