Demographics details for West mifflin, PA vs Camden, OH
Population Overview
Compare main population characteristics in West mifflin, PA vs Camden, OH.
Data | West mifflin | Camden |
---|---|---|
Population | 19,140 | 1,973 |
Median Age | 45.2 years | 45.1 years |
Median Income | $64,314 | $49,667 |
Married Families | 38.0% | 44.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: West mifflin vs Camden
- In West mifflin, the population is higher at 19,140, compared to 1,973 in Camden.
- Residents in West mifflin have a higher median age of 45.2 years compared to 45.1 years in Camden.
- West mifflin has a higher median income of $64,314 compared to $49,667 in Camden.
- In Camden, the percentage of married families is higher at 44.0%, compared to 38.0% in West mifflin.
- The poverty level is higher in Camden at 12%, compared to 9% in West mifflin.
- Camden has a higher unemployment rate at 3.5% compared to 3.2% in West mifflin.
Demographics
Demographics West mifflin vs Camden provide insight into the diversity of the communities to compare.
Demographic | West mifflin | Camden |
---|---|---|
Black | 11 | 1 |
White | 82 | 98 |
Asian | 1 | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 4 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: West mifflin vs Camden
- A higher percentage of Black residents are in West mifflin at 11% compared to 1% in Camden.
- The percentage of White residents is higher in Camden at 98% compared to 82% in West mifflin.
- The Asian population is larger in West mifflin at 1% compared to 0% in Camden.
- The Hispanic community is larger in West mifflin at 2% compared to 0% in Camden.
- More residents identify as two or more races in West mifflin at 4% compared to 1% in Camden.
- The percentage of American Indian residents is the same in both West mifflin and Camden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West mifflin | Camden |
---|---|---|
Mental Health Not Good | 17.0% | 18.5% |
Physical Health Not Good | 11.6% | 12.7% |
Depression | 23.0% | 24.3% |
Smoking | 20.0% | 23.1% |
Binge Drinking | 21.2% | 18.1% |
Obesity | 33.9% | 40.9% |
Disability Percentage | 17.0% | 26.0% |
Health Statistics Comparison: West mifflin vs Camden
- In Camden, a higher percentage report poor mental health at 18.5% compared to 17.0% in West mifflin.
- Higher depression rates are seen in Camden at 24.3% versus 23.0% in West mifflin.
- Camden has a higher smoking rate at 23.1% compared to 20.0% in West mifflin.
- Binge drinking is more common in West mifflin at 21.2% compared to 18.1% in Camden.
- Camden has higher obesity rates at 40.9% compared to 33.9% in West mifflin.
- There is a higher percentage of disabled individuals in Camden at 26.0% 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 | West mifflin | Camden |
---|---|---|
No Schooling | 0.4% (75) | 0.2% (4) |
High School Diploma | 25.5% (4,884) | 31.6% (623) |
Less than High School | 7.2% (1,377) | 9.1% (179) |
Bachelor's Degree and Higher | 16.7% (3,199) | 4.9% (96) |
Education Levels Comparison: West mifflin vs Camden
- A higher percentage of residents in West mifflin have no formal schooling at 0.4% compared to 0.2% in Camden.
- In Camden, the rate of residents with high school diplomas is higher at 31.6% compared to 25.5% in West mifflin.
- The percentage of residents with less than a high school education is higher in Camden at 9.1%, compared to 7.2% in West mifflin.
- A higher percentage of residents in West mifflin hold a bachelor's degree or higher at 16.7% compared to 4.9% in Camden.
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.