Demographics details for Dieterich, IL vs Taylor, PA
Population Overview
Compare main population characteristics in Dieterich, IL vs Taylor, PA.
Data | Dieterich | Taylor |
---|---|---|
Population | 875 | 6,251 |
Median Age | 31.5 years | 38.4 years |
Median Income | $74,375 | $57,667 |
Married Families | 50.0% | 29.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 3.0 | 5.0 |
Population Comparison: Dieterich vs Taylor
- The population in Taylor is higher at 6,251, compared to 875 in Dieterich.
- The median age in Taylor is higher at 38.4 years, compared to 31.5 years in Dieterich.
- Dieterich has a higher median income of $74,375 compared to $57,667 in Taylor.
- A higher percentage of married families is found in Dieterich at 50.0% compared to 29.0% in Taylor.
- The poverty level is higher in Taylor at 10%, compared to 5% in Dieterich.
- Taylor has a higher unemployment rate at 5.0% compared to 3.0% in Dieterich.
Demographics
Demographics Dieterich vs Taylor provide insight into the diversity of the communities to compare.
Demographic | Dieterich | Taylor |
---|---|---|
Black | Data is updating | 1 |
White | 97 | 76 |
Asian | 1 | 1 |
Hispanic | Data is updating | 15 |
Two or More Races | 2 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dieterich vs Taylor
- In Taylor, the percentage of Black residents is higher at 1% compared to 0% in Dieterich.
- Dieterich has a higher percentage of White residents at 97% compared to 76% in Taylor.
- Both Dieterich and Taylor have the same percentage of Asian residents at 1%.
- Taylor has a higher percentage of Hispanic residents at 15%, compared to 0% in Dieterich.
- The percentage of residents identifying as two or more races is higher in Taylor at 7%, compared to 2% in Dieterich.
- The percentage of American Indian residents is the same in both Dieterich and Taylor at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dieterich | Taylor |
---|---|---|
Mental Health Not Good | 15.4% | 18.7% |
Physical Health Not Good | 9.9% | 13.5% |
Depression | 21.3% | 24.8% |
Smoking | 15.9% | 22.9% |
Binge Drinking | 19.1% | 16.8% |
Obesity | 34.3% | 34.6% |
Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Dieterich vs Taylor
- In Taylor, a higher percentage report poor mental health at 18.7% compared to 15.4% in Dieterich.
- Higher depression rates are seen in Taylor at 24.8% versus 21.3% in Dieterich.
- Taylor has a higher smoking rate at 22.9% compared to 15.9% in Dieterich.
- Binge drinking is more common in Dieterich at 19.1% compared to 16.8% in Taylor.
- Taylor has higher obesity rates at 34.6% compared to 34.3% in Dieterich.
- There is a higher percentage of disabled individuals in Taylor at 18.0% compared to 12.0% in Dieterich.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dieterich | Taylor |
---|---|---|
No Schooling | 4.2% (37) | 0.7% (42) |
High School Diploma | 12.5% (109) | 28.0% (1,753) |
Less than High School | 21.0% (184) | 15.4% (963) |
Bachelor's Degree and Higher | 21.6% (189) | 15.2% (951) |
Education Levels Comparison: Dieterich vs Taylor
- A higher percentage of residents in Dieterich have no formal schooling at 4.2% compared to 0.7% in Taylor.
- In Taylor, the rate of residents with high school diplomas is higher at 28.0% compared to 12.5% in Dieterich.
- More residents in Dieterich have less than a high school education at 21.0% compared to 15.4% in Taylor.
- A higher percentage of residents in Dieterich hold a bachelor's degree or higher at 21.6% compared to 15.2% in Taylor.
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.