Demographics details for Marianna, AR vs Fort mill, SC
Population Overview
Compare main population characteristics in Marianna, AR vs Fort mill, SC.
| Data | Marianna | Fort mill |
|---|---|---|
| Population | 3,432 | 30,940 |
| Median Age | 41.7 years | 36.7 years |
| Median Income | $21,057 | $128,125 |
| Married Families | 16.0% | 37.0% |
| Poverty Level | 20% | 5% |
| Unemployment Rate | 5.2 | 4.1 |
Population Comparison: Marianna vs Fort mill
- The population in Fort mill is higher at 30,940, compared to 3,432 in Marianna.
- Residents in Marianna have a higher median age of 41.7 years compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125, compared to $21,057 in Marianna.
- In Fort mill, the percentage of married families is higher at 37.0%, compared to 16.0% in Marianna.
- Marianna has a higher poverty level at 20% compared to 5% in Fort mill.
- The unemployment rate in Marianna is higher at 5.2%, compared to 4.1% in Fort mill.
Demographics
Demographics Marianna vs Fort mill provide insight into the diversity of the communities to compare.
| Demographic | Marianna | Fort mill |
|---|---|---|
| Black | 84 | 9 |
| White | 14 | 79 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marianna vs Fort mill
- A higher percentage of Black residents are in Marianna at 84% compared to 9% in Fort mill.
- The percentage of White residents is higher in Fort mill at 79% compared to 14% in Marianna.
- In Fort mill, the Asian population stands at 3%, greater than 0% in Marianna.
- Fort mill has a higher percentage of Hispanic residents at 5%, compared to 0% in Marianna.
- The percentage of residents identifying as two or more races is higher in Fort mill at 4%, compared to 2% in Marianna.
- The percentage of American Indian residents is the same in both Marianna and Fort mill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marianna | Fort mill |
|---|---|---|
| Mental Health Not Good | 22.0% | 15.4% |
| Physical Health Not Good | 17.6% | 9.4% |
| Depression | 23.8% | 21.1% |
| Smoking | 28.5% | 12.3% |
| Binge Drinking | 10.9% | 18.3% |
| Obesity | 49.3% | 31.6% |
| Disability Percentage | 22.0% | 5.0% |
Health Statistics Comparison: Marianna vs Fort mill
- More residents in Marianna report poor mental health at 22.0% compared to 15.4% in Fort mill.
- Depression is more prevalent in Marianna at 23.8% compared to 21.1% in Fort mill.
- Smoking is more prevalent in Marianna at 28.5% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Fort mill at 18.3% compared to 10.9% in Marianna.
- Obesity rates are higher in Marianna at 49.3% compared to 31.6% in Fort mill.
- Disability percentages are higher in Marianna at 22.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marianna | Fort mill |
|---|---|---|
| No Schooling | 0.3% (10) | 0.3% (78) |
| High School Diploma | 30.3% (1,041) | 7.7% (2,372) |
| Less than High School | 9.1% (312) | 2.8% (879) |
| Bachelor's Degree and Higher | 3.3% (113) | 30.0% (9,271) |
Education Levels Comparison: Marianna vs Fort mill
- The percentage of residents with no formal schooling is the same in both Marianna and Fort mill at 0.3%.
- A higher percentage of residents in Marianna hold a high school diploma at 30.3% compared to 7.7% in Fort mill.
- More residents in Marianna have less than a high school education at 9.1% compared to 2.8% in Fort mill.
- In Fort mill, a larger share of residents have a bachelor's degree or higher at 30.0% 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.