Demographics details for Patoka, IL vs Danville, KY
Population Overview
Compare main population characteristics in Patoka, IL vs Danville, KY.
Data | Patoka | Danville |
---|---|---|
Population | 512 | 17,303 |
Median Age | 39.2 years | 36.4 years |
Median Income | $69,091 | $48,038 |
Married Families | 54.0% | 31.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 5.0 | 4.1 |
Population Comparison: Patoka vs Danville
- The population in Danville is higher at 17,303, compared to 512 in Patoka.
- Residents in Patoka have a higher median age of 39.2 years compared to 36.4 years in Danville.
- Patoka has a higher median income of $69,091 compared to $48,038 in Danville.
- A higher percentage of married families is found in Patoka at 54.0% compared to 31.0% in Danville.
- The poverty level is higher in Danville at 15%, compared to 10% in Patoka.
- The unemployment rate in Patoka is higher at 5.0%, compared to 4.1% in Danville.
Demographics
Demographics Patoka vs Danville provide insight into the diversity of the communities to compare.
Demographic | Patoka | Danville |
---|---|---|
Black | Data is updating | 12 |
White | 98 | 79 |
Asian | 1 | 1 |
Hispanic | Data is updating | 4 |
Two or More Races | 1 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Patoka vs Danville
- In Danville, the percentage of Black residents is higher at 12% compared to 0% in Patoka.
- Patoka has a higher percentage of White residents at 98% compared to 79% in Danville.
- Both Patoka and Danville have the same percentage of Asian residents at 1%.
- Danville has a higher percentage of Hispanic residents at 4%, compared to 0% in Patoka.
- The percentage of residents identifying as two or more races is higher in Danville at 4%, compared to 1% in Patoka.
- The percentage of American Indian residents is the same in both Patoka and Danville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Patoka | Danville |
---|---|---|
Mental Health Not Good | 16.8% | 19.1% |
Physical Health Not Good | 11.2% | 14.1% |
Depression | 23.2% | 27.7% |
Smoking | 17.8% | 21.6% |
Binge Drinking | 18.6% | 14.7% |
Obesity | 37.4% | 41.5% |
Disability Percentage | 21.0% | 15.0% |
Health Statistics Comparison: Patoka vs Danville
- In Danville, a higher percentage report poor mental health at 19.1% compared to 16.8% in Patoka.
- Higher depression rates are seen in Danville at 27.7% versus 23.2% in Patoka.
- Danville has a higher smoking rate at 21.6% compared to 17.8% in Patoka.
- Binge drinking is more common in Patoka at 18.6% compared to 14.7% in Danville.
- Danville has higher obesity rates at 41.5% compared to 37.4% in Patoka.
- Disability percentages are higher in Patoka 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 | Patoka | Danville |
---|---|---|
No Schooling | 0.6% (3) | 0.6% (108) |
High School Diploma | 32.8% (168) | 16.8% (2,899) |
Less than High School | 6.6% (34) | 12.1% (2,102) |
Bachelor's Degree and Higher | 11.1% (57) | 16.1% (2,789) |
Education Levels Comparison: Patoka vs Danville
- The percentage of residents with no formal schooling is the same in both Patoka and Danville at 0.6%.
- A higher percentage of residents in Patoka hold a high school diploma at 32.8% compared to 16.8% in Danville.
- The percentage of residents with less than a high school education is higher in Danville at 12.1%, compared to 6.6% in Patoka.
- In Danville, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 11.1% in Patoka.
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.