Demographics details for Bethlehem, PA vs Grimesland, NC
Population Overview
Compare main population characteristics in Bethlehem, PA vs Grimesland, NC.
Data | Bethlehem | Grimesland |
---|---|---|
Population | 77,617 | 395 |
Median Age | 35.9 years | 34.3 years |
Median Income | $62,072 | $35,000 |
Married Families | 29.0% | 29.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Bethlehem vs Grimesland
- In Bethlehem, the population is higher at 77,617, compared to 395 in Grimesland.
- Residents in Bethlehem have a higher median age of 35.9 years compared to 34.3 years in Grimesland.
- Bethlehem has a higher median income of $62,072 compared to $35,000 in Grimesland.
- The percentage of married families is the same in both Bethlehem and Grimesland at 29.0%.
- Bethlehem has a higher poverty level at 13% compared to 10% in Grimesland.
- The unemployment rate is the same in both Bethlehem and Grimesland at 3.5%.
Demographics
Demographics Bethlehem vs Grimesland provide insight into the diversity of the communities to compare.
Demographic | Bethlehem | Grimesland |
---|---|---|
Black | 9 | 21 |
White | 47 | 56 |
Asian | 3 | Data is updating |
Hispanic | 30 | 10 |
Two or More Races | 11 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Bethlehem vs Grimesland
- In Grimesland, the percentage of Black residents is higher at 21% compared to 9% in Bethlehem.
- The percentage of White residents is higher in Grimesland at 56% compared to 47% in Bethlehem.
- The Asian population is larger in Bethlehem at 3% compared to 0% in Grimesland.
- The Hispanic community is larger in Bethlehem at 30% compared to 10% in Grimesland.
- The percentage of residents identifying as two or more races is higher in Grimesland at 12%, compared to 11% in Bethlehem.
- In Grimesland, the percentage of American Indian residents is higher at 1%, compared to 0% in Bethlehem.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bethlehem | Grimesland |
---|---|---|
Mental Health Not Good | 16.9% | 15.8% |
Physical Health Not Good | 12.1% | 11.1% |
Depression | 21.8% | 20.9% |
Smoking | 18.4% | 16.4% |
Binge Drinking | 17.6% | 15.8% |
Obesity | 34.7% | 40.0% |
Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Bethlehem vs Grimesland
- More residents in Bethlehem report poor mental health at 16.9% compared to 15.8% in Grimesland.
- Depression is more prevalent in Bethlehem at 21.8% compared to 20.9% in Grimesland.
- Smoking is more prevalent in Bethlehem at 18.4% compared to 16.4% in Grimesland.
- Binge drinking is more common in Bethlehem at 17.6% compared to 15.8% in Grimesland.
- Grimesland has higher obesity rates at 40.0% compared to 34.7% in Bethlehem.
- There is a higher percentage of disabled individuals in Grimesland at 24.0% 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 | Bethlehem | Grimesland |
---|---|---|
No Schooling | 0.6% (452) | 0.3% (1) |
High School Diploma | 16.9% (13,125) | 19.7% (78) |
Less than High School | 12.9% (10,045) | 9.6% (38) |
Bachelor's Degree and Higher | 22.0% (17,044) | 8.1% (32) |
Education Levels Comparison: Bethlehem vs Grimesland
- A higher percentage of residents in Bethlehem have no formal schooling at 0.6% compared to 0.3% in Grimesland.
- In Grimesland, the rate of residents with high school diplomas is higher at 19.7% compared to 16.9% in Bethlehem.
- More residents in Bethlehem have less than a high school education at 12.9% compared to 9.6% in Grimesland.
- A higher percentage of residents in Bethlehem hold a bachelor's degree or higher at 22.0% compared to 8.1% in Grimesland.
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.