Demographics details for Richton, MS vs Green, OH
Population Overview
Compare main population characteristics in Richton, MS vs Green, OH.
| Data | Richton | Green |
|---|---|---|
| Population | 902 | 27,269 |
| Median Age | 42.3 years | 41.1 years |
| Median Income | $33,621 | $90,419 |
| Married Families | 35.0% | 45.0% |
| Poverty Level | 16% | 4% |
| Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Richton vs Green
- The population in Green is higher at 27,269, compared to 902 in Richton.
- Residents in Richton have a higher median age of 42.3 years compared to 41.1 years in Green.
- Green has a higher median income of $90,419, compared to $33,621 in Richton.
- In Green, the percentage of married families is higher at 45.0%, compared to 35.0% in Richton.
- Richton has a higher poverty level at 16% compared to 4% in Green.
- Green has a higher unemployment rate at 4.7% compared to 3.5% in Richton.
Demographics
Demographics Richton vs Green provide insight into the diversity of the communities to compare.
| Demographic | Richton | Green |
|---|---|---|
| Black | 32 | 1 |
| White | 68 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 1 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Richton vs Green
- A higher percentage of Black residents are in Richton at 32% compared to 1% in Green.
- The percentage of White residents is higher in Green at 94% compared to 68% in Richton.
- In Green, the Asian population stands at 1%, greater than 0% in Richton.
- Green has a higher percentage of Hispanic residents at 1%, compared to 0% in Richton.
- The percentage of residents identifying as two or more races is higher in Green at 3%, compared to 0% in Richton.
- The percentage of American Indian residents is the same in both Richton and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richton | Green |
|---|---|---|
| Mental Health Not Good | 19.1% | 16.6% |
| Physical Health Not Good | 14.8% | 10.5% |
| Depression | 24.4% | 24.7% |
| Smoking | 24.2% | 17.4% |
| Binge Drinking | 13.2% | 19.1% |
| Obesity | 42.8% | 40.2% |
| Disability Percentage | 24.0% | 9.0% |
Health Statistics Comparison: Richton vs Green
- More residents in Richton report poor mental health at 19.1% compared to 16.6% in Green.
- Higher depression rates are seen in Green at 24.7% versus 24.4% in Richton.
- Smoking is more prevalent in Richton at 24.2% compared to 17.4% in Green.
- More residents engage in binge drinking in Green at 19.1% compared to 13.2% in Richton.
- Obesity rates are higher in Richton at 42.8% compared to 40.2% in Green.
- Disability percentages are higher in Richton at 24.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Richton | Green |
|---|---|---|
| No Schooling | 4.2% (38) | 0.2% (46) |
| High School Diploma | 26.9% (243) | 16.6% (4,514) |
| Less than High School | 19.7% (178) | 3.0% (828) |
| Bachelor's Degree and Higher | 15.2% (137) | 29.3% (7,977) |
Education Levels Comparison: Richton vs Green
- A higher percentage of residents in Richton have no formal schooling at 4.2% compared to 0.2% in Green.
- A higher percentage of residents in Richton hold a high school diploma at 26.9% compared to 16.6% in Green.
- More residents in Richton have less than a high school education at 19.7% compared to 3.0% in Green.
- In Green, a larger share of residents have a bachelor's degree or higher at 29.3% compared to 15.2% in Richton.
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.