Demographics details for Radford, VA vs Mountain home, AR
Population Overview
Compare main population characteristics in Radford, VA vs Mountain home, AR.
Data | Radford | Mountain home |
---|---|---|
Population | 16,738 | 13,150 |
Median Age | 23.3 years | 41.8 years |
Median Income | $51,039 | $42,281 |
Married Families | 23.0% | 38.0% |
Poverty Level | 18% | 14% |
Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Radford vs Mountain home
- In Radford, the population is higher at 16,738, compared to 13,150 in Mountain home.
- The median age in Mountain home is higher at 41.8 years, compared to 23.3 years in Radford.
- Radford has a higher median income of $51,039 compared to $42,281 in Mountain home.
- In Mountain home, the percentage of married families is higher at 38.0%, compared to 23.0% in Radford.
- Radford has a higher poverty level at 18% compared to 14% in Mountain home.
- The unemployment rate in Radford is higher at 4.6%, compared to 3.5% in Mountain home.
Demographics
Demographics Radford vs Mountain home provide insight into the diversity of the communities to compare.
Demographic | Radford | Mountain home |
---|---|---|
Black | 9 | Data is updating |
White | 82 | 90 |
Asian | 2 | 1 |
Hispanic | 3 | 4 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | 1 |
Demographics Comparison: Radford vs Mountain home
- A higher percentage of Black residents are in Radford at 9% compared to 0% in Mountain home.
- The percentage of White residents is higher in Mountain home at 90% compared to 82% in Radford.
- The Asian population is larger in Radford at 2% compared to 1% in Mountain home.
- Mountain home has a higher percentage of Hispanic residents at 4%, compared to 3% in Radford.
- Both Radford and Mountain home have the same percentage of residents identifying as two or more races at 4%.
- In Mountain home, the percentage of American Indian residents is higher at 1%, compared to 0% in Radford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Radford | Mountain home |
---|---|---|
Mental Health Not Good | 19.1% | 19.2% |
Physical Health Not Good | 12.8% | 12.9% |
Depression | 25.7% | 28.5% |
Smoking | 19.1% | 21.1% |
Binge Drinking | 16.1% | 16.3% |
Obesity | 37.8% | 34.3% |
Disability Percentage | 11.0% | 22.0% |
Health Statistics Comparison: Radford vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 19.2% compared to 19.1% in Radford.
- Higher depression rates are seen in Mountain home at 28.5% versus 25.7% in Radford.
- Mountain home has a higher smoking rate at 21.1% compared to 19.1% in Radford.
- More residents engage in binge drinking in Mountain home at 16.3% compared to 16.1% in Radford.
- Obesity rates are higher in Radford at 37.8% compared to 34.3% in Mountain home.
- There is a higher percentage of disabled individuals in Mountain home at 22.0% compared to 11.0% in Radford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Radford | Mountain home |
---|---|---|
No Schooling | 0.1% (11) | 0.7% (87) |
High School Diploma | 6.7% (1,121) | 16.9% (2,225) |
Less than High School | 4.9% (820) | 14.2% (1,870) |
Bachelor's Degree and Higher | 19.6% (3,278) | 15.0% (1,973) |
Education Levels Comparison: Radford vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in Radford.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.9% compared to 6.7% in Radford.
- The percentage of residents with less than a high school education is higher in Mountain home at 14.2%, compared to 4.9% in Radford.
- A higher percentage of residents in Radford hold a bachelor's degree or higher at 19.6% 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.