Demographics details for Paris, IL vs West mifflin, PA
Population Overview
Compare main population characteristics in Paris, IL vs West mifflin, PA.
| Data | Paris | West mifflin |
|---|---|---|
| Population | 8,084 | 19,140 |
| Median Age | 41.8 years | 45.2 years |
| Median Income | $50,080 | $64,314 |
| Married Families | 46.0% | 38.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 6.5 | 3.2 |
Population Comparison: Paris vs West mifflin
- The population in West mifflin is higher at 19,140, compared to 8,084 in Paris.
- The median age in West mifflin is higher at 45.2 years, compared to 41.8 years in Paris.
- West mifflin has a higher median income of $64,314, compared to $50,080 in Paris.
- A higher percentage of married families is found in Paris at 46.0% compared to 38.0% in West mifflin.
- Paris has a higher poverty level at 12% compared to 9% in West mifflin.
- The unemployment rate in Paris is higher at 6.5%, compared to 3.2% in West mifflin.
Demographics
Demographics Paris vs West mifflin provide insight into the diversity of the communities to compare.
| Demographic | Paris | West mifflin |
|---|---|---|
| Black | 1 | 11 |
| White | 96 | 82 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 2 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paris vs West mifflin
- In West mifflin, the percentage of Black residents is higher at 11% compared to 1% in Paris.
- Paris has a higher percentage of White residents at 96% compared to 82% in West mifflin.
- In West mifflin, the Asian population stands at 1%, greater than 0% in Paris.
- The percentage of Hispanic residents is the same in both Paris and West mifflin at 2%.
- The percentage of residents identifying as two or more races is higher in West mifflin at 4%, compared to 1% in Paris.
- The percentage of American Indian residents is the same in both Paris and West mifflin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paris | West mifflin |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.0% |
| Physical Health Not Good | 11.6% | 11.6% |
| Depression | 22.9% | 23.0% |
| Smoking | 18.8% | 20.0% |
| Binge Drinking | 18.0% | 21.2% |
| Obesity | 36.1% | 33.9% |
| Disability Percentage | 20.0% | 17.0% |
Health Statistics Comparison: Paris vs West mifflin
- More residents in Paris report poor mental health at 17.1% compared to 17.0% in West mifflin.
- Higher depression rates are seen in West mifflin at 23.0% versus 22.9% in Paris.
- West mifflin has a higher smoking rate at 20.0% compared to 18.8% in Paris.
- More residents engage in binge drinking in West mifflin at 21.2% compared to 18.0% in Paris.
- Obesity rates are higher in Paris at 36.1% compared to 33.9% in West mifflin.
- Disability percentages are higher in Paris at 20.0% compared to 17.0% in West mifflin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paris | West mifflin |
|---|---|---|
| No Schooling | 1.9% (157) | 0.4% (75) |
| High School Diploma | 23.3% (1,881) | 25.5% (4,884) |
| Less than High School | 25.1% (2,033) | 7.2% (1,377) |
| Bachelor's Degree and Higher | 12.8% (1,035) | 16.7% (3,199) |
Education Levels Comparison: Paris vs West mifflin
- A higher percentage of residents in Paris have no formal schooling at 1.9% compared to 0.4% in West mifflin.
- In West mifflin, the rate of residents with high school diplomas is higher at 25.5% compared to 23.3% in Paris.
- More residents in Paris have less than a high school education at 25.1% compared to 7.2% in West mifflin.
- In West mifflin, a larger share of residents have a bachelor's degree or higher at 16.7% compared to 12.8% in Paris.
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.