Demographics details for Danville, KY vs Mitchell, IN
Population Overview
Compare main population characteristics in Danville, KY vs Mitchell, IN.
| Data | Danville | Mitchell |
|---|---|---|
| Population | 17,303 | 3,940 |
| Median Age | 36.4 years | 35.5 years |
| Median Income | $48,038 | $51,025 |
| Married Families | 31.0% | 32.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Danville vs Mitchell
- In Danville, the population is higher at 17,303, compared to 3,940 in Mitchell.
- Residents in Danville have a higher median age of 36.4 years compared to 35.5 years in Mitchell.
- Mitchell has a higher median income of $51,025, compared to $48,038 in Danville.
- In Mitchell, the percentage of married families is higher at 32.0%, compared to 31.0% in Danville.
- Danville has a higher poverty level at 15% compared to 10% in Mitchell.
- The unemployment rate in Danville is higher at 4.1%, compared to 3.5% in Mitchell.
Demographics
Demographics Danville vs Mitchell provide insight into the diversity of the communities to compare.
| Demographic | Danville | Mitchell |
|---|---|---|
| Black | 12 | 1 |
| White | 79 | 92 |
| Asian | 1 | 4 |
| Hispanic | 4 | 1 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Danville vs Mitchell
- A higher percentage of Black residents are in Danville at 12% compared to 1% in Mitchell.
- The percentage of White residents is higher in Mitchell at 92% compared to 79% in Danville.
- In Mitchell, the Asian population stands at 4%, greater than 1% in Danville.
- The Hispanic community is larger in Danville at 4% compared to 1% in Mitchell.
- More residents identify as two or more races in Danville at 4% compared to 2% in Mitchell.
- The percentage of American Indian residents is the same in both Danville and Mitchell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danville | Mitchell |
|---|---|---|
| Mental Health Not Good | 19.1% | 19.4% |
| Physical Health Not Good | 14.1% | 13.7% |
| Depression | 27.7% | 28.5% |
| Smoking | 21.6% | 24.3% |
| Binge Drinking | 14.7% | 15.9% |
| Obesity | 41.5% | 43.5% |
| Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: Danville vs Mitchell
- In Mitchell, a higher percentage report poor mental health at 19.4% compared to 19.1% in Danville.
- Higher depression rates are seen in Mitchell at 28.5% versus 27.7% in Danville.
- Mitchell has a higher smoking rate at 24.3% compared to 21.6% in Danville.
- More residents engage in binge drinking in Mitchell at 15.9% compared to 14.7% in Danville.
- Mitchell has higher obesity rates at 43.5% compared to 41.5% in Danville.
- There is a higher percentage of disabled individuals in Mitchell at 21.0% compared to 15.0% in Danville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Danville | Mitchell |
|---|---|---|
| No Schooling | 0.6% (108) | 1.6% (63) |
| High School Diploma | 16.8% (2,899) | 20.4% (802) |
| Less than High School | 12.1% (2,102) | 29.2% (1,152) |
| Bachelor's Degree and Higher | 16.1% (2,789) | 9.8% (387) |
Education Levels Comparison: Danville vs Mitchell
- In Mitchell, a larger percentage of residents lack formal schooling at 1.6% compared to 0.6% in Danville.
- In Mitchell, the rate of residents with high school diplomas is higher at 20.4% compared to 16.8% in Danville.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 12.1% in Danville.
- A higher percentage of residents in Danville hold a bachelor's degree or higher at 16.1% 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.