Demographics details for Marianna, AR vs Campbell, OH
Population Overview
Compare main population characteristics in Marianna, AR vs Campbell, OH.
| Data | Marianna | Campbell |
|---|---|---|
| Population | 3,432 | 7,743 |
| Median Age | 41.7 years | 39.7 years |
| Median Income | $21,057 | $43,176 |
| Married Families | 16.0% | 26.0% |
| Poverty Level | 20% | 24% |
| Unemployment Rate | 5.2 | 6.8 |
Population Comparison: Marianna vs Campbell
- The population in Campbell is higher at 7,743, compared to 3,432 in Marianna.
- Residents in Marianna have a higher median age of 41.7 years compared to 39.7 years in Campbell.
- Campbell has a higher median income of $43,176, compared to $21,057 in Marianna.
- In Campbell, the percentage of married families is higher at 26.0%, compared to 16.0% in Marianna.
- The poverty level is higher in Campbell at 24%, compared to 20% in Marianna.
- Campbell has a higher unemployment rate at 6.8% compared to 5.2% in Marianna.
Demographics
Demographics Marianna vs Campbell provide insight into the diversity of the communities to compare.
| Demographic | Marianna | Campbell |
|---|---|---|
| Black | 84 | 20 |
| White | 14 | 40 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 27 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marianna vs Campbell
- A higher percentage of Black residents are in Marianna at 84% compared to 20% in Campbell.
- The percentage of White residents is higher in Campbell at 40% compared to 14% in Marianna.
- Both Marianna and Campbell have the same percentage of Asian residents at 0%.
- Campbell has a higher percentage of Hispanic residents at 27%, compared to 0% in Marianna.
- The percentage of residents identifying as two or more races is higher in Campbell at 13%, compared to 2% in Marianna.
- The percentage of American Indian residents is the same in both Marianna and Campbell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marianna | Campbell |
|---|---|---|
| Mental Health Not Good | 22.0% | 21.8% |
| Physical Health Not Good | 17.6% | 17.3% |
| Depression | 23.8% | 26.9% |
| Smoking | 28.5% | 29.5% |
| Binge Drinking | 10.9% | 14.3% |
| Obesity | 49.3% | 47.4% |
| Disability Percentage | 22.0% | 15.0% |
Health Statistics Comparison: Marianna vs Campbell
- More residents in Marianna report poor mental health at 22.0% compared to 21.8% in Campbell.
- Higher depression rates are seen in Campbell at 26.9% versus 23.8% in Marianna.
- Campbell has a higher smoking rate at 29.5% compared to 28.5% in Marianna.
- More residents engage in binge drinking in Campbell at 14.3% compared to 10.9% in Marianna.
- Obesity rates are higher in Marianna at 49.3% compared to 47.4% in Campbell.
- Disability percentages are higher in Marianna at 22.0% 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 | Marianna | Campbell |
|---|---|---|
| No Schooling | 0.3% (10) | 1.2% (96) |
| High School Diploma | 30.3% (1,041) | 22.6% (1,748) |
| Less than High School | 9.1% (312) | 19.7% (1,524) |
| Bachelor's Degree and Higher | 3.3% (113) | 11.4% (886) |
Education Levels Comparison: Marianna vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.2% compared to 0.3% in Marianna.
- A higher percentage of residents in Marianna hold a high school diploma at 30.3% compared to 22.6% in Campbell.
- The percentage of residents with less than a high school education is higher in Campbell at 19.7%, compared to 9.1% in Marianna.
- In Campbell, a larger share of residents have a bachelor's degree or higher at 11.4% compared to 3.3% in Marianna.
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.