Demographics details for Cambridge, NE vs Bethlehem, PA
Population Overview
Compare main population characteristics in Cambridge, NE vs Bethlehem, PA.
Data | Cambridge | Bethlehem |
---|---|---|
Population | 1,081 | 77,617 |
Median Age | 42.4 years | 35.9 years |
Median Income | $61,250 | $62,072 |
Married Families | 54.0% | 29.0% |
Poverty Level | 8% | 13% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Cambridge vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 1,081 in Cambridge.
- Residents in Cambridge have a higher median age of 42.4 years compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072, compared to $61,250 in Cambridge.
- A higher percentage of married families is found in Cambridge at 54.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 8% in Cambridge.
- Bethlehem has a higher unemployment rate at 3.5% compared to 3.2% in Cambridge.
Demographics
Demographics Cambridge vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | Cambridge | Bethlehem |
---|---|---|
Black | Data is updating | 9 |
White | 91 | 47 |
Asian | Data is updating | 3 |
Hispanic | 7 | 30 |
Two or More Races | 2 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cambridge vs Bethlehem
- In Bethlehem, the percentage of Black residents is higher at 9% compared to 0% in Cambridge.
- Cambridge has a higher percentage of White residents at 91% compared to 47% in Bethlehem.
- In Bethlehem, the Asian population stands at 3%, greater than 0% in Cambridge.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 7% in Cambridge.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 2% in Cambridge.
- The percentage of American Indian residents is the same in both Cambridge and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cambridge | Bethlehem |
---|---|---|
Mental Health Not Good | 15.0% | 16.9% |
Physical Health Not Good | 10.8% | 12.1% |
Depression | 18.1% | 21.8% |
Smoking | 19.4% | 18.4% |
Binge Drinking | 20.9% | 17.6% |
Obesity | 42.2% | 34.7% |
Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Cambridge vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 15.0% in Cambridge.
- Higher depression rates are seen in Bethlehem at 21.8% versus 18.1% in Cambridge.
- Smoking is more prevalent in Cambridge at 19.4% compared to 18.4% in Bethlehem.
- Binge drinking is more common in Cambridge at 20.9% compared to 17.6% in Bethlehem.
- Obesity rates are higher in Cambridge at 42.2% compared to 34.7% in Bethlehem.
- Disability percentages are higher in Cambridge at 18.0% 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 | Cambridge | Bethlehem |
---|---|---|
No Schooling | 0.5% (5) | 0.6% (452) |
High School Diploma | 16.0% (173) | 16.9% (13,125) |
Less than High School | 15.6% (169) | 12.9% (10,045) |
Bachelor's Degree and Higher | 21.5% (232) | 22.0% (17,044) |
Education Levels Comparison: Cambridge vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Cambridge.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 16.0% in Cambridge.
- More residents in Cambridge have less than a high school education at 15.6% 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 21.5% in Cambridge.
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.