Demographics details for Monroe city, MO vs Bethlehem, PA
Population Overview
Compare main population characteristics in Monroe city, MO vs Bethlehem, PA.
| Data | Monroe city | Bethlehem |
|---|---|---|
| Population | 2,650 | 77,617 |
| Median Age | 40.1 years | 35.9 years |
| Median Income | $50,885 | $62,072 |
| Married Families | 42.0% | 29.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Monroe city vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 2,650 in Monroe city.
- Residents in Monroe city have a higher median age of 40.1 years compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072, compared to $50,885 in Monroe city.
- A higher percentage of married families is found in Monroe city at 42.0% compared to 29.0% in Bethlehem.
- The poverty level is identical in both Monroe city and Bethlehem at 13%.
- Bethlehem has a higher unemployment rate at 3.5% compared to 3.2% in Monroe city.
Demographics
Demographics Monroe city vs Bethlehem provide insight into the diversity of the communities to compare.
| Demographic | Monroe city | Bethlehem |
|---|---|---|
| Black | 11 | 9 |
| White | 79 | 47 |
| Asian | 2 | 3 |
| Hispanic | 1 | 30 |
| Two or More Races | 5 | 11 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Monroe city vs Bethlehem
- A higher percentage of Black residents are in Monroe city at 11% compared to 9% in Bethlehem.
- Monroe city has a higher percentage of White residents at 79% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 2% in Monroe city.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 1% in Monroe city.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 5% in Monroe city.
- A greater percentage of American Indian residents live in Monroe city at 2% compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monroe city | Bethlehem |
|---|---|---|
| Mental Health Not Good | 18.6% | 16.9% |
| Physical Health Not Good | 13.1% | 12.1% |
| Depression | 25.7% | 21.8% |
| Smoking | 22.3% | 18.4% |
| Binge Drinking | 17.7% | 17.6% |
| Obesity | 41.5% | 34.7% |
| Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Monroe city vs Bethlehem
- More residents in Monroe city report poor mental health at 18.6% compared to 16.9% in Bethlehem.
- Depression is more prevalent in Monroe city at 25.7% compared to 21.8% in Bethlehem.
- Smoking is more prevalent in Monroe city at 22.3% compared to 18.4% in Bethlehem.
- Binge drinking is more common in Monroe city at 17.7% compared to 17.6% in Bethlehem.
- Obesity rates are higher in Monroe city at 41.5% compared to 34.7% in Bethlehem.
- Disability percentages are higher in Monroe city at 21.0% compared to 13.0% in Bethlehem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Monroe city | Bethlehem |
|---|---|---|
| No Schooling | 0.5% (13) | 0.6% (452) |
| High School Diploma | 33.2% (880) | 16.9% (13,125) |
| Less than High School | 20.6% (545) | 12.9% (10,045) |
| Bachelor's Degree and Higher | 12.2% (323) | 22.0% (17,044) |
Education Levels Comparison: Monroe city vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Monroe city.
- A higher percentage of residents in Monroe city hold a high school diploma at 33.2% compared to 16.9% in Bethlehem.
- More residents in Monroe city have less than a high school education at 20.6% compared to 12.9% in Bethlehem.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% compared to 12.2% in Monroe city.
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.