Demographics details for Mountain home, AR vs Danville, KY
Population Overview
Compare main population characteristics in Mountain home, AR vs Danville, KY.
| Data | Mountain home | Danville |
|---|---|---|
| Population | 13,150 | 17,303 |
| Median Age | 41.8 years | 36.4 years |
| Median Income | $42,281 | $48,038 |
| Married Families | 38.0% | 31.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Mountain home vs Danville
- The population in Danville is higher at 17,303, compared to 13,150 in Mountain home.
- Residents in Mountain home have a higher median age of 41.8 years compared to 36.4 years in Danville.
- Danville has a higher median income of $48,038, compared to $42,281 in Mountain home.
- A higher percentage of married families is found in Mountain home at 38.0% compared to 31.0% in Danville.
- The poverty level is higher in Danville at 15%, compared to 14% in Mountain home.
- Danville has a higher unemployment rate at 4.1% compared to 3.5% in Mountain home.
Demographics
Demographics Mountain home vs Danville provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Danville |
|---|---|---|
| Black | Data is updating | 12 |
| White | 90 | 79 |
| Asian | 1 | 1 |
| Hispanic | 4 | 4 |
| Two or More Races | 4 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mountain home vs Danville
- In Danville, the percentage of Black residents is higher at 12% compared to 0% in Mountain home.
- Mountain home has a higher percentage of White residents at 90% compared to 79% in Danville.
- Both Mountain home and Danville have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Mountain home and Danville at 4%.
- Both Mountain home and Danville have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Danville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Danville |
|---|---|---|
| Mental Health Not Good | 19.2% | 19.1% |
| Physical Health Not Good | 12.9% | 14.1% |
| Depression | 28.5% | 27.7% |
| Smoking | 21.1% | 21.6% |
| Binge Drinking | 16.3% | 14.7% |
| Obesity | 34.3% | 41.5% |
| Disability Percentage | 22.0% | 15.0% |
Health Statistics Comparison: Mountain home vs Danville
- More residents in Mountain home report poor mental health at 19.2% compared to 19.1% in Danville.
- Depression is more prevalent in Mountain home at 28.5% compared to 27.7% in Danville.
- Danville has a higher smoking rate at 21.6% compared to 21.1% in Mountain home.
- Binge drinking is more common in Mountain home at 16.3% compared to 14.7% in Danville.
- Danville has higher obesity rates at 41.5% compared to 34.3% in Mountain home.
- Disability percentages are higher in Mountain home at 22.0% 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 | Mountain home | Danville |
|---|---|---|
| No Schooling | 0.7% (87) | 0.6% (108) |
| High School Diploma | 16.9% (2,225) | 16.8% (2,899) |
| Less than High School | 14.2% (1,870) | 12.1% (2,102) |
| Bachelor's Degree and Higher | 15.0% (1,973) | 16.1% (2,789) |
Education Levels Comparison: Mountain home vs Danville
- A higher percentage of residents in Mountain home have no formal schooling at 0.7% compared to 0.6% in Danville.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.9% compared to 16.8% in Danville.
- More residents in Mountain home have less than a high school education at 14.2% compared to 12.1% in Danville.
- In Danville, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 15.0% in Mountain home.
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.