Demographics details for Greenville, MS vs Mitchell, IN
Population Overview
Compare main population characteristics in Greenville, MS vs Mitchell, IN.
| Data | Greenville | Mitchell |
|---|---|---|
| Population | 28,017 | 3,940 |
| Median Age | 38.7 years | 35.5 years |
| Median Income | $35,148 | $51,025 |
| Married Families | 25.0% | 32.0% |
| Poverty Level | 30% | 10% |
| Unemployment Rate | 5.8 | 3.5 |
Population Comparison: Greenville vs Mitchell
- In Greenville, the population is higher at 28,017, compared to 3,940 in Mitchell.
- Residents in Greenville have a higher median age of 38.7 years compared to 35.5 years in Mitchell.
- Mitchell has a higher median income of $51,025, compared to $35,148 in Greenville.
- In Mitchell, the percentage of married families is higher at 32.0%, compared to 25.0% in Greenville.
- Greenville has a higher poverty level at 30% compared to 10% in Mitchell.
- The unemployment rate in Greenville is higher at 5.8%, compared to 3.5% in Mitchell.
Demographics
Demographics Greenville vs Mitchell provide insight into the diversity of the communities to compare.
| Demographic | Greenville | Mitchell |
|---|---|---|
| Black | 87 | 1 |
| White | 11 | 92 |
| Asian | 1 | 4 |
| Hispanic | Data is updating | 1 |
| Two or More Races | 1 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Greenville vs Mitchell
- A higher percentage of Black residents are in Greenville at 87% compared to 1% in Mitchell.
- The percentage of White residents is higher in Mitchell at 92% compared to 11% in Greenville.
- In Mitchell, the Asian population stands at 4%, greater than 1% in Greenville.
- Mitchell has a higher percentage of Hispanic residents at 1%, compared to 0% in Greenville.
- The percentage of residents identifying as two or more races is higher in Mitchell at 2%, compared to 1% in Greenville.
- The percentage of American Indian residents is the same in both Greenville and Mitchell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenville | Mitchell |
|---|---|---|
| Mental Health Not Good | 19.4% | 19.4% |
| Physical Health Not Good | 16.3% | 13.7% |
| Depression | 21.2% | 28.5% |
| Smoking | 26.7% | 24.3% |
| Binge Drinking | 10.6% | 15.9% |
| Obesity | 46.0% | 43.5% |
| Disability Percentage | 28.0% | 21.0% |
Health Statistics Comparison: Greenville vs Mitchell
- Poor mental health levels are equal in both Greenville and Mitchell at 19.4%.
- Higher depression rates are seen in Mitchell at 28.5% versus 21.2% in Greenville.
- Smoking is more prevalent in Greenville at 26.7% compared to 24.3% in Mitchell.
- More residents engage in binge drinking in Mitchell at 15.9% compared to 10.6% in Greenville.
- Obesity rates are higher in Greenville at 46.0% compared to 43.5% in Mitchell.
- Disability percentages are higher in Greenville at 28.0% compared to 21.0% in Mitchell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Greenville | Mitchell |
|---|---|---|
| No Schooling | 1.8% (501) | 1.6% (63) |
| High School Diploma | 20.2% (5,661) | 20.4% (802) |
| Less than High School | 15.5% (4,352) | 29.2% (1,152) |
| Bachelor's Degree and Higher | 14.5% (4,052) | 9.8% (387) |
Education Levels Comparison: Greenville vs Mitchell
- A higher percentage of residents in Greenville have no formal schooling at 1.8% compared to 1.6% in Mitchell.
- In Mitchell, the rate of residents with high school diplomas is higher at 20.4% compared to 20.2% in Greenville.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 15.5% in Greenville.
- A higher percentage of residents in Greenville hold a bachelor's degree or higher at 14.5% compared to 9.8% in Mitchell.
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.