Demographics details for French camp, MS vs Reading, PA
Population Overview
Compare main population characteristics in French camp, MS vs Reading, PA.
| Data | French camp | Reading |
|---|---|---|
| Population | 254 | 94,858 |
| Median Age | 44.1 years | 31.1 years |
| Median Income | $65,313 | $42,852 |
| Married Families | 40.0% | 22.0% |
| Poverty Level | 12% | 25% |
| Unemployment Rate | 5.2 | 5.2 |
Population Comparison: French camp vs Reading
- The population in Reading is higher at 94,858, compared to 254 in French camp.
- Residents in French camp have a higher median age of 44.1 years compared to 31.1 years in Reading.
- French camp has a higher median income of $65,313 compared to $42,852 in Reading.
- A higher percentage of married families is found in French camp at 40.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 12% in French camp.
- The unemployment rate is the same in both French camp and Reading at 5.2%.
Demographics
Demographics French camp vs Reading provide insight into the diversity of the communities to compare.
| Demographic | French camp | Reading |
|---|---|---|
| Black | 14 | 11 |
| White | 83 | 60 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 67 |
| Two or More Races | 3 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: French camp vs Reading
- A higher percentage of Black residents are in French camp at 14% compared to 11% in Reading.
- French camp has a higher percentage of White residents at 83% compared to 60% in Reading.
- In Reading, the Asian population stands at 1%, greater than 0% in French camp.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 0% in French camp.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 3% in French camp.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in French camp.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | French camp | Reading |
|---|---|---|
| Mental Health Not Good | 16.3% | 19.7% |
| Physical Health Not Good | 13.9% | 18.1% |
| Depression | 24.4% | 23.1% |
| Smoking | 20.5% | 26.5% |
| Binge Drinking | 13.6% | 13.0% |
| Obesity | 36.2% | 44.7% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: French camp vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 16.3% in French camp.
- Depression is more prevalent in French camp at 24.4% compared to 23.1% in Reading.
- Reading has a higher smoking rate at 26.5% compared to 20.5% in French camp.
- Binge drinking is more common in French camp at 13.6% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 36.2% in French camp.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 11.0% in French camp.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | French camp | Reading |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.6% (2,442) |
| High School Diploma | 6.3% (16) | 17.8% (16,896) |
| Less than High School | 7.9% (20) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 29.9% (76) | 6.9% (6,512) |
Education Levels Comparison: French camp vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in French camp.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 6.3% in French camp.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 7.9% in French camp.
- A higher percentage of residents in French camp hold a bachelor's degree or higher at 29.9% compared to 6.9% in Reading.
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.