Demographics details for Mountain home, ID vs Mcdonough, GA
Population Overview
Compare main population characteristics in Mountain home, ID vs Mcdonough, GA.
| Data | Mountain home | Mcdonough |
|---|---|---|
| Population | 16,469 | 30,340 |
| Median Age | 31.3 years | 31.0 years |
| Median Income | $53,108 | $77,804 |
| Married Families | 36.0% | 31.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.1 | 5.9 |
Population Comparison: Mountain home vs Mcdonough
- The population in Mcdonough is higher at 30,340, compared to 16,469 in Mountain home.
- Residents in Mountain home have a higher median age of 31.3 years compared to 31.0 years in Mcdonough.
- Mcdonough has a higher median income of $77,804, compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 31.0% in Mcdonough.
- The poverty level is higher in Mcdonough at 13%, compared to 12% in Mountain home.
- Mcdonough has a higher unemployment rate at 5.9% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Mcdonough provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Mcdonough |
|---|---|---|
| Black | 2 | 70 |
| White | 69 | 14 |
| Asian | 4 | 2 |
| Hispanic | 14 | 6 |
| Two or More Races | 9 | 8 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Mcdonough
- In Mcdonough, the percentage of Black residents is higher at 70% compared to 2% in Mountain home.
- Mountain home has a higher percentage of White residents at 69% compared to 14% in Mcdonough.
- The Asian population is larger in Mountain home at 4% compared to 2% in Mcdonough.
- The Hispanic community is larger in Mountain home at 14% compared to 6% in Mcdonough.
- More residents identify as two or more races in Mountain home at 9% compared to 8% in Mcdonough.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Mcdonough.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Mcdonough |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.4% |
| Physical Health Not Good | 12.6% | 11.6% |
| Depression | 22.4% | 19.6% |
| Smoking | 18.3% | 16.1% |
| Binge Drinking | 15.8% | 15.1% |
| Obesity | 36.1% | 39.5% |
| Disability Percentage | 18.0% | 7.0% |
Health Statistics Comparison: Mountain home vs Mcdonough
- More residents in Mountain home report poor mental health at 16.9% compared to 16.4% in Mcdonough.
- Depression is more prevalent in Mountain home at 22.4% compared to 19.6% in Mcdonough.
- Smoking is more prevalent in Mountain home at 18.3% compared to 16.1% in Mcdonough.
- Binge drinking is more common in Mountain home at 15.8% compared to 15.1% in Mcdonough.
- Mcdonough has higher obesity rates at 39.5% compared to 36.1% in Mountain home.
- Disability percentages are higher in Mountain home at 18.0% compared to 7.0% in Mcdonough.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Mcdonough |
|---|---|---|
| No Schooling | 1.7% (273) | 0.7% (221) |
| High School Diploma | 16.3% (2,690) | 14.8% (4,501) |
| Less than High School | 12.8% (2,116) | 4.9% (1,500) |
| Bachelor's Degree and Higher | 10.4% (1,720) | 16.1% (4,882) |
Education Levels Comparison: Mountain home vs Mcdonough
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.7% in Mcdonough.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 14.8% in Mcdonough.
- More residents in Mountain home have less than a high school education at 12.8% compared to 4.9% in Mcdonough.
- In Mcdonough, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 10.4% 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.