Demographics details for Warrenton, VA vs Mountain home, ID
Population Overview
Compare main population characteristics in Warrenton, VA vs Mountain home, ID.
Data | Warrenton | Mountain home |
---|---|---|
Population | 10,197 | 16,469 |
Median Age | 38.2 years | 31.3 years |
Median Income | $83,737 | $53,108 |
Married Families | 32.0% | 36.0% |
Poverty Level | 6% | 12% |
Unemployment Rate | 3.4 | 3.1 |
Population Comparison: Warrenton vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 10,197 in Warrenton.
- Residents in Warrenton have a higher median age of 38.2 years compared to 31.3 years in Mountain home.
- Warrenton has a higher median income of $83,737 compared to $53,108 in Mountain home.
- In Mountain home, the percentage of married families is higher at 36.0%, compared to 32.0% in Warrenton.
- The poverty level is higher in Mountain home at 12%, compared to 6% in Warrenton.
- The unemployment rate in Warrenton is higher at 3.4%, compared to 3.1% in Mountain home.
Demographics
Demographics Warrenton vs Mountain home provide insight into the diversity of the communities to compare.
Demographic | Warrenton | Mountain home |
---|---|---|
Black | 8 | 2 |
White | 71 | 69 |
Asian | 2 | 4 |
Hispanic | 7 | 14 |
Two or More Races | 11 | 9 |
American Indian | 1 | 2 |
Demographics Comparison: Warrenton vs Mountain home
- A higher percentage of Black residents are in Warrenton at 8% compared to 2% in Mountain home.
- Warrenton has a higher percentage of White residents at 71% compared to 69% in Mountain home.
- In Mountain home, the Asian population stands at 4%, greater than 2% in Warrenton.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 7% in Warrenton.
- More residents identify as two or more races in Warrenton at 11% compared to 9% in Mountain home.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 1% in Warrenton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Warrenton | Mountain home |
---|---|---|
Mental Health Not Good | 15.3% | 16.9% |
Physical Health Not Good | 9.2% | 12.6% |
Depression | 21.2% | 22.4% |
Smoking | 13.0% | 18.3% |
Binge Drinking | 17.7% | 15.8% |
Obesity | 34.2% | 36.1% |
Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Warrenton vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 16.9% compared to 15.3% in Warrenton.
- Higher depression rates are seen in Mountain home at 22.4% versus 21.2% in Warrenton.
- Mountain home has a higher smoking rate at 18.3% compared to 13.0% in Warrenton.
- Binge drinking is more common in Warrenton at 17.7% compared to 15.8% in Mountain home.
- Mountain home has higher obesity rates at 36.1% compared to 34.2% in Warrenton.
- There is a higher percentage of disabled individuals in Mountain home at 18.0% compared to 12.0% in Warrenton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Warrenton | Mountain home |
---|---|---|
No Schooling | 0.2% (22) | 1.7% (273) |
High School Diploma | 10.6% (1,078) | 16.3% (2,690) |
Less than High School | 7.7% (787) | 12.8% (2,116) |
Bachelor's Degree and Higher | 29.2% (2,979) | 10.4% (1,720) |
Education Levels Comparison: Warrenton vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.2% in Warrenton.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 10.6% in Warrenton.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 7.7% in Warrenton.
- A higher percentage of residents in Warrenton hold a bachelor's degree or higher at 29.2% 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.