Demographics details for Peoria, AZ vs Woodruff, SC
Population Overview
Compare main population characteristics in Peoria, AZ vs Woodruff, SC.
Data | Peoria | Woodruff |
---|---|---|
Population | 197,866 | 4,431 |
Median Age | 41.4 years | 37.3 years |
Median Income | $86,759 | $68,451 |
Married Families | 43.0% | 22.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 3.3 | 4.5 |
Population Comparison: Peoria vs Woodruff
- In Peoria, the population is higher at 197,866, compared to 4,431 in Woodruff.
- Residents in Peoria have a higher median age of 41.4 years compared to 37.3 years in Woodruff.
- Peoria has a higher median income of $86,759 compared to $68,451 in Woodruff.
- A higher percentage of married families is found in Peoria at 43.0% compared to 22.0% in Woodruff.
- The poverty level is higher in Woodruff at 10%, compared to 8% in Peoria.
- Woodruff has a higher unemployment rate at 4.5% compared to 3.3% in Peoria.
Demographics
Demographics Peoria vs Woodruff provide insight into the diversity of the communities to compare.
Demographic | Peoria | Woodruff |
---|---|---|
Black | 3 | 24 |
White | 60 | 70 |
Asian | 5 | Data is updating |
Hispanic | 21 | 4 |
Two or More Races | 10 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Peoria vs Woodruff
- In Woodruff, the percentage of Black residents is higher at 24% compared to 3% in Peoria.
- The percentage of White residents is higher in Woodruff at 70% compared to 60% in Peoria.
- The Asian population is larger in Peoria at 5% compared to 0% in Woodruff.
- The Hispanic community is larger in Peoria at 21% compared to 4% in Woodruff.
- More residents identify as two or more races in Peoria at 10% compared to 2% in Woodruff.
- A greater percentage of American Indian residents live in Peoria at 1% compared to 0% in Woodruff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Peoria | Woodruff |
---|---|---|
Mental Health Not Good | 16.6% | 19.0% |
Physical Health Not Good | 9.8% | 13.1% |
Depression | 19.9% | 24.8% |
Smoking | 13.5% | 20.3% |
Binge Drinking | 18.7% | 15.3% |
Obesity | 29.3% | 36.4% |
Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Peoria vs Woodruff
- In Woodruff, a higher percentage report poor mental health at 19.0% compared to 16.6% in Peoria.
- Higher depression rates are seen in Woodruff at 24.8% versus 19.9% in Peoria.
- Woodruff has a higher smoking rate at 20.3% compared to 13.5% in Peoria.
- Binge drinking is more common in Peoria at 18.7% compared to 15.3% in Woodruff.
- Woodruff has higher obesity rates at 36.4% compared to 29.3% in Peoria.
- There is a higher percentage of disabled individuals in Woodruff at 17.0% compared to 12.0% in Peoria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Peoria | Woodruff |
---|---|---|
No Schooling | 1.1% (2,127) | 0.0% (Data is updating) |
High School Diploma | 12.9% (25,582) | 20.5% (907) |
Less than High School | 9.3% (18,494) | 20.9% (926) |
Bachelor's Degree and Higher | 23.6% (46,719) | 13.3% (589) |
Education Levels Comparison: Peoria vs Woodruff
- A higher percentage of residents in Peoria have no formal schooling at 1.1% compared to 0.0% in Woodruff.
- In Woodruff, the rate of residents with high school diplomas is higher at 20.5% compared to 12.9% in Peoria.
- The percentage of residents with less than a high school education is higher in Woodruff at 20.9%, compared to 9.3% in Peoria.
- A higher percentage of residents in Peoria hold a bachelor's degree or higher at 23.6% compared to 13.3% in Woodruff.
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.