Demographics details for Forrest city, AR vs Mason, OH
Population Overview
Compare main population characteristics in Forrest city, AR vs Mason, OH.
Data | Forrest city | Mason |
---|---|---|
Population | 12,676 | 35,520 |
Median Age | 35.2 years | 41.7 years |
Median Income | $36,368 | $121,082 |
Married Families | 22.0% | 47.0% |
Poverty Level | 20% | 4% |
Unemployment Rate | 6.5 | 4.8 |
Population Comparison: Forrest city vs Mason
- The population in Mason is higher at 35,520, compared to 12,676 in Forrest city.
- The median age in Mason is higher at 41.7 years, compared to 35.2 years in Forrest city.
- Mason has a higher median income of $121,082, compared to $36,368 in Forrest city.
- In Mason, the percentage of married families is higher at 47.0%, compared to 22.0% in Forrest city.
- Forrest city has a higher poverty level at 20% compared to 4% in Mason.
- The unemployment rate in Forrest city is higher at 6.5%, compared to 4.8% in Mason.
Demographics
Demographics Forrest city vs Mason provide insight into the diversity of the communities to compare.
Demographic | Forrest city | Mason |
---|---|---|
Black | 73 | 5 |
White | 16 | 74 |
Asian | Data is updating | 14 |
Hispanic | 6 | 3 |
Two or More Races | 4 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Forrest city vs Mason
- A higher percentage of Black residents are in Forrest city at 73% compared to 5% in Mason.
- The percentage of White residents is higher in Mason at 74% compared to 16% in Forrest city.
- In Mason, the Asian population stands at 14%, greater than 0% in Forrest city.
- The Hispanic community is larger in Forrest city at 6% compared to 3% in Mason.
- Both Forrest city and Mason have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Forrest city at 1% compared to 0% in Mason.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forrest city | Mason |
---|---|---|
Mental Health Not Good | 19.7% | 13.5% |
Physical Health Not Good | 16.5% | 8.0% |
Depression | 21.2% | 19.8% |
Smoking | 26.2% | 11.8% |
Binge Drinking | 12.5% | 19.1% |
Obesity | 49.7% | 33.5% |
Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Forrest city vs Mason
- More residents in Forrest city report poor mental health at 19.7% compared to 13.5% in Mason.
- Depression is more prevalent in Forrest city at 21.2% compared to 19.8% in Mason.
- Smoking is more prevalent in Forrest city at 26.2% compared to 11.8% in Mason.
- More residents engage in binge drinking in Mason at 19.1% compared to 12.5% in Forrest city.
- Obesity rates are higher in Forrest city at 49.7% compared to 33.5% in Mason.
- Disability percentages are higher in Forrest city at 15.0% compared to 8.0% in Mason.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Forrest city | Mason |
---|---|---|
No Schooling | 0.8% (105) | 0.5% (183) |
High School Diploma | 21.3% (2,698) | 8.9% (3,151) |
Less than High School | 17.7% (2,241) | 3.0% (1,071) |
Bachelor's Degree and Higher | 8.9% (1,122) | 40.7% (14,469) |
Education Levels Comparison: Forrest city vs Mason
- A higher percentage of residents in Forrest city have no formal schooling at 0.8% compared to 0.5% in Mason.
- A higher percentage of residents in Forrest city hold a high school diploma at 21.3% compared to 8.9% in Mason.
- More residents in Forrest city have less than a high school education at 17.7% compared to 3.0% in Mason.
- In Mason, a larger share of residents have a bachelor's degree or higher at 40.7% compared to 8.9% in Forrest city.
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.