Demographics details for Hillsville, VA vs Princeton, IL
Population Overview
Compare main population characteristics in Hillsville, VA vs Princeton, IL.
Data | Hillsville | Princeton |
---|---|---|
Population | 2,860 | 7,721 |
Median Age | 45.5 years | 46.5 years |
Median Income | $61,380 | $55,926 |
Married Families | 42.0% | 39.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Hillsville vs Princeton
- The population in Princeton is higher at 7,721, compared to 2,860 in Hillsville.
- The median age in Princeton is higher at 46.5 years, compared to 45.5 years in Hillsville.
- Hillsville has a higher median income of $61,380 compared to $55,926 in Princeton.
- A higher percentage of married families is found in Hillsville at 42.0% compared to 39.0% in Princeton.
- Hillsville has a higher poverty level at 12% compared to 8% in Princeton.
- Princeton has a higher unemployment rate at 4.0% compared to 3.5% in Hillsville.
Demographics
Demographics Hillsville vs Princeton provide insight into the diversity of the communities to compare.
Demographic | Hillsville | Princeton |
---|---|---|
Black | 1 | Data is updating |
White | 90 | 91 |
Asian | 1 | 1 |
Hispanic | 3 | 4 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hillsville vs Princeton
- A higher percentage of Black residents are in Hillsville at 1% compared to 0% in Princeton.
- The percentage of White residents is higher in Princeton at 91% compared to 90% in Hillsville.
- Both Hillsville and Princeton have the same percentage of Asian residents at 1%.
- Princeton has a higher percentage of Hispanic residents at 4%, compared to 3% in Hillsville.
- More residents identify as two or more races in Hillsville at 5% compared to 4% in Princeton.
- The percentage of American Indian residents is the same in both Hillsville and Princeton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hillsville | Princeton |
---|---|---|
Mental Health Not Good | 19.4% | 16.3% |
Physical Health Not Good | 12.8% | 10.7% |
Depression | 27.0% | 22.4% |
Smoking | 21.2% | 16.9% |
Binge Drinking | 17.2% | 18.1% |
Obesity | 37.2% | 36.4% |
Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Hillsville vs Princeton
- More residents in Hillsville report poor mental health at 19.4% compared to 16.3% in Princeton.
- Depression is more prevalent in Hillsville at 27.0% compared to 22.4% in Princeton.
- Smoking is more prevalent in Hillsville at 21.2% compared to 16.9% in Princeton.
- More residents engage in binge drinking in Princeton at 18.1% compared to 17.2% in Hillsville.
- Obesity rates are higher in Hillsville at 37.2% compared to 36.4% in Princeton.
- There is a higher percentage of disabled individuals in Princeton at 16.0% compared to 10.0% in Hillsville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hillsville | Princeton |
---|---|---|
No Schooling | 1.1% (32) | 0.3% (20) |
High School Diploma | 20.1% (575) | 20.9% (1,617) |
Less than High School | 21.0% (600) | 11.2% (863) |
Bachelor's Degree and Higher | 12.0% (344) | 20.1% (1,554) |
Education Levels Comparison: Hillsville vs Princeton
- A higher percentage of residents in Hillsville have no formal schooling at 1.1% compared to 0.3% in Princeton.
- In Princeton, the rate of residents with high school diplomas is higher at 20.9% compared to 20.1% in Hillsville.
- More residents in Hillsville have less than a high school education at 21.0% compared to 11.2% in Princeton.
- In Princeton, a larger share of residents have a bachelor's degree or higher at 20.1% compared to 12.0% in Hillsville.
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.