Demographics details for Laurel, MT vs Mechanicsburg, PA
Population Overview
Compare main population characteristics in Laurel, MT vs Mechanicsburg, PA.
| Data | Laurel | Mechanicsburg |
|---|---|---|
| Population | 7,203 | 9,634 |
| Median Age | 36.5 years | 38.4 years |
| Median Income | $62,250 | $75,806 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Laurel vs Mechanicsburg
- The population in Mechanicsburg is higher at 9,634, compared to 7,203 in Laurel.
- The median age in Mechanicsburg is higher at 38.4 years, compared to 36.5 years in Laurel.
- Mechanicsburg has a higher median income of $75,806, compared to $62,250 in Laurel.
- A higher percentage of married families is found in Laurel at 37.0% compared to 36.0% in Mechanicsburg.
- Laurel has a higher poverty level at 7% compared to 5% in Mechanicsburg.
- Mechanicsburg has a higher unemployment rate at 4.5% compared to 3.5% in Laurel.
Demographics
Demographics Laurel vs Mechanicsburg provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Mechanicsburg |
|---|---|---|
| Black | Data is updating | 2 |
| White | 83 | 84 |
| Asian | 2 | 1 |
| Hispanic | 7 | 6 |
| Two or More Races | 7 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Mechanicsburg
- In Mechanicsburg, the percentage of Black residents is higher at 2% compared to 0% in Laurel.
- The percentage of White residents is higher in Mechanicsburg at 84% compared to 83% in Laurel.
- The Asian population is larger in Laurel at 2% compared to 1% in Mechanicsburg.
- The Hispanic community is larger in Laurel at 7% compared to 6% in Mechanicsburg.
- Both Laurel and Mechanicsburg have the same percentage of residents identifying as two or more races at 7%.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Mechanicsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Mechanicsburg |
|---|---|---|
| Mental Health Not Good | 16.4% | 15.3% |
| Physical Health Not Good | 10.8% | 10.2% |
| Depression | 27.8% | 21.8% |
| Smoking | 15.8% | 15.7% |
| Binge Drinking | 23.8% | 17.8% |
| Obesity | 32.2% | 31.2% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Laurel vs Mechanicsburg
- More residents in Laurel report poor mental health at 16.4% compared to 15.3% in Mechanicsburg.
- Depression is more prevalent in Laurel at 27.8% compared to 21.8% in Mechanicsburg.
- Smoking is more prevalent in Laurel at 15.8% compared to 15.7% in Mechanicsburg.
- Binge drinking is more common in Laurel at 23.8% compared to 17.8% in Mechanicsburg.
- Obesity rates are higher in Laurel at 32.2% compared to 31.2% in Mechanicsburg.
- Disability percentages are higher in Laurel at 13.0% compared to 11.0% in Mechanicsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Laurel | Mechanicsburg |
|---|---|---|
| No Schooling | 0.2% (14) | 0.1% (13) |
| High School Diploma | 21.7% (1,563) | 21.7% (2,086) |
| Less than High School | 7.7% (556) | 5.7% (550) |
| Bachelor's Degree and Higher | 10.8% (780) | 30.4% (2,931) |
Education Levels Comparison: Laurel vs Mechanicsburg
- A higher percentage of residents in Laurel have no formal schooling at 0.2% compared to 0.1% in Mechanicsburg.
- Both cities have the same percentage of residents with high school diplomas at 21.7%.
- More residents in Laurel have less than a high school education at 7.7% compared to 5.7% in Mechanicsburg.
- In Mechanicsburg, a larger share of residents have a bachelor's degree or higher at 30.4% compared to 10.8% in Laurel.
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.