Demographics details for Louin, MS vs Mitchell, IN
Population Overview
Compare main population characteristics in Louin, MS vs Mitchell, IN.
Data | Louin | Mitchell |
---|---|---|
Population | 269 | 3,940 |
Median Age | 48.4 years | 35.5 years |
Median Income | $31,375 | $51,025 |
Married Families | 91.0% | 32.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 5.4 | 3.5 |
Population Comparison: Louin vs Mitchell
- The population in Mitchell is higher at 3,940, compared to 269 in Louin.
- Residents in Louin have a higher median age of 48.4 years compared to 35.5 years in Mitchell.
- Mitchell has a higher median income of $51,025, compared to $31,375 in Louin.
- A higher percentage of married families is found in Louin at 91.0% compared to 32.0% in Mitchell.
- Louin has a higher poverty level at 15% compared to 10% in Mitchell.
- The unemployment rate in Louin is higher at 5.4%, compared to 3.5% in Mitchell.
Demographics
Demographics Louin vs Mitchell provide insight into the diversity of the communities to compare.
Demographic | Louin | Mitchell |
---|---|---|
Black | 56 | 1 |
White | 43 | 92 |
Asian | Data is updating | 4 |
Hispanic | Data is updating | 1 |
Two or More Races | 1 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Louin vs Mitchell
- A higher percentage of Black residents are in Louin at 56% compared to 1% in Mitchell.
- The percentage of White residents is higher in Mitchell at 92% compared to 43% in Louin.
- In Mitchell, the Asian population stands at 4%, greater than 0% in Louin.
- Mitchell has a higher percentage of Hispanic residents at 1%, compared to 0% in Louin.
- The percentage of residents identifying as two or more races is higher in Mitchell at 2%, compared to 1% in Louin.
- The percentage of American Indian residents is the same in both Louin and Mitchell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Louin | Mitchell |
---|---|---|
Mental Health Not Good | 17.1% | 19.4% |
Physical Health Not Good | 12.7% | 13.7% |
Depression | 22.6% | 28.5% |
Smoking | 21.1% | 24.3% |
Binge Drinking | 14.6% | 15.9% |
Obesity | 39.8% | 43.5% |
Disability Percentage | 32.0% | 21.0% |
Health Statistics Comparison: Louin vs Mitchell
- In Mitchell, a higher percentage report poor mental health at 19.4% compared to 17.1% in Louin.
- Higher depression rates are seen in Mitchell at 28.5% versus 22.6% in Louin.
- Mitchell has a higher smoking rate at 24.3% compared to 21.1% in Louin.
- More residents engage in binge drinking in Mitchell at 15.9% compared to 14.6% in Louin.
- Mitchell has higher obesity rates at 43.5% compared to 39.8% in Louin.
- Disability percentages are higher in Louin at 32.0% 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 | Louin | Mitchell |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.6% (63) |
High School Diploma | 49.4% (133) | 20.4% (802) |
Less than High School | 15.6% (42) | 29.2% (1,152) |
Bachelor's Degree and Higher | 28.3% (76) | 9.8% (387) |
Education Levels Comparison: Louin vs Mitchell
- In Mitchell, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Louin.
- A higher percentage of residents in Louin hold a high school diploma at 49.4% compared to 20.4% in Mitchell.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 15.6% in Louin.
- A higher percentage of residents in Louin hold a bachelor's degree or higher at 28.3% 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.