Demographics details for Kinston, NC vs Bethlehem, PA
Population Overview
Compare main population characteristics in Kinston, NC vs Bethlehem, PA.
| Data | Kinston | Bethlehem |
|---|---|---|
| Population | 19,365 | 77,617 |
| Median Age | 44.1 years | 35.9 years |
| Median Income | $35,653 | $62,072 |
| Married Families | 23.0% | 29.0% |
| Poverty Level | 22% | 13% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Kinston vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 19,365 in Kinston.
- Residents in Kinston have a higher median age of 44.1 years compared to 35.9 years in Bethlehem.
- Bethlehem has a higher median income of $62,072, compared to $35,653 in Kinston.
- In Bethlehem, the percentage of married families is higher at 29.0%, compared to 23.0% in Kinston.
- Kinston has a higher poverty level at 22% compared to 13% in Bethlehem.
- The unemployment rate in Kinston is higher at 5.1%, compared to 3.5% in Bethlehem.
Demographics
Demographics Kinston vs Bethlehem provide insight into the diversity of the communities to compare.
| Demographic | Kinston | Bethlehem |
|---|---|---|
| Black | 70 | 9 |
| White | 21 | 47 |
| Asian | 1 | 3 |
| Hispanic | 3 | 30 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kinston vs Bethlehem
- A higher percentage of Black residents are in Kinston at 70% compared to 9% in Bethlehem.
- The percentage of White residents is higher in Bethlehem at 47% compared to 21% in Kinston.
- In Bethlehem, the Asian population stands at 3%, greater than 1% in Kinston.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 3% in Kinston.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 5% in Kinston.
- The percentage of American Indian residents is the same in both Kinston and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kinston | Bethlehem |
|---|---|---|
| Mental Health Not Good | 19.2% | 16.9% |
| Physical Health Not Good | 14.9% | 12.1% |
| Depression | 22.8% | 21.8% |
| Smoking | 24.2% | 18.4% |
| Binge Drinking | 13.6% | 17.6% |
| Obesity | 43.2% | 34.7% |
| Disability Percentage | 31.0% | 13.0% |
Health Statistics Comparison: Kinston vs Bethlehem
- More residents in Kinston report poor mental health at 19.2% compared to 16.9% in Bethlehem.
- Depression is more prevalent in Kinston at 22.8% compared to 21.8% in Bethlehem.
- Smoking is more prevalent in Kinston at 24.2% compared to 18.4% in Bethlehem.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 13.6% in Kinston.
- Obesity rates are higher in Kinston at 43.2% compared to 34.7% in Bethlehem.
- Disability percentages are higher in Kinston at 31.0% 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 | Kinston | Bethlehem |
|---|---|---|
| No Schooling | 1.1% (211) | 0.6% (452) |
| High School Diploma | 20.1% (3,883) | 16.9% (13,125) |
| Less than High School | 16.6% (3,222) | 12.9% (10,045) |
| Bachelor's Degree and Higher | 10.3% (2,004) | 22.0% (17,044) |
Education Levels Comparison: Kinston vs Bethlehem
- A higher percentage of residents in Kinston have no formal schooling at 1.1% compared to 0.6% in Bethlehem.
- A higher percentage of residents in Kinston hold a high school diploma at 20.1% compared to 16.9% in Bethlehem.
- More residents in Kinston have less than a high school education at 16.6% 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 10.3% in Kinston.
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.