Demographics details for Campbell, OH vs Mount olive, MS
Population Overview
Compare main population characteristics in Campbell, OH vs Mount olive, MS.
| Data | Campbell | Mount olive |
|---|---|---|
| Population | 7,743 | 878 |
| Median Age | 39.7 years | 31.7 years |
| Median Income | $43,176 | $53,947 |
| Married Families | 26.0% | 49.0% |
| Poverty Level | 24% | 18% |
| Unemployment Rate | 6.8 | 6.5 |
Population Comparison: Campbell vs Mount olive
- In Campbell, the population is higher at 7,743, compared to 878 in Mount olive.
- Residents in Campbell have a higher median age of 39.7 years compared to 31.7 years in Mount olive.
- Mount olive has a higher median income of $53,947, compared to $43,176 in Campbell.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 26.0% in Campbell.
- Campbell has a higher poverty level at 24% compared to 18% in Mount olive.
- The unemployment rate in Campbell is higher at 6.8%, compared to 6.5% in Mount olive.
Demographics
Demographics Campbell vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Campbell | Mount olive |
|---|---|---|
| Black | 20 | 120 |
| White | 40 | 145 |
| Asian | Data is updating | 2 |
| Hispanic | 27 | Data is updating |
| Two or More Races | 13 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Campbell vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 20% in Campbell.
- The percentage of White residents is higher in Mount olive at 145% compared to 40% in Campbell.
- In Mount olive, the Asian population stands at 2%, greater than 0% in Campbell.
- The Hispanic community is larger in Campbell at 27% compared to 0% in Mount olive.
- More residents identify as two or more races in Campbell at 13% compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Campbell and Mount olive at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Campbell | Mount olive |
|---|---|---|
| Mental Health Not Good | 21.8% | 17.8% |
| Physical Health Not Good | 17.3% | 13.3% |
| Depression | 26.9% | 21.5% |
| Smoking | 29.5% | 21.3% |
| Binge Drinking | 14.3% | 13.0% |
| Obesity | 47.4% | 43.6% |
| Disability Percentage | 15.0% | 27.0% |
Health Statistics Comparison: Campbell vs Mount olive
- More residents in Campbell report poor mental health at 21.8% compared to 17.8% in Mount olive.
- Depression is more prevalent in Campbell at 26.9% compared to 21.5% in Mount olive.
- Smoking is more prevalent in Campbell at 29.5% compared to 21.3% in Mount olive.
- Binge drinking is more common in Campbell at 14.3% compared to 13.0% in Mount olive.
- Obesity rates are higher in Campbell at 47.4% compared to 43.6% in Mount olive.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 15.0% in Campbell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Campbell | Mount olive |
|---|---|---|
| No Schooling | 1.2% (96) | 2.3% (20) |
| High School Diploma | 22.6% (1,748) | 23.9% (210) |
| Less than High School | 19.7% (1,524) | 14.9% (131) |
| Bachelor's Degree and Higher | 11.4% (886) | 13.0% (114) |
Education Levels Comparison: Campbell vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 1.2% in Campbell.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 22.6% in Campbell.
- More residents in Campbell have less than a high school education at 19.7% compared to 14.9% in Mount olive.
- In Mount olive, a larger share of residents have a bachelor's degree or higher at 13.0% 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.