Demographics details for Lawrence, PA vs Indian trail, NC
Population Overview
Compare main population characteristics in Lawrence, PA vs Indian trail, NC.
| Data | Lawrence | Indian trail |
|---|---|---|
| Population | 84,849 | 41,724 |
| Median Age | 45.0 years | 36.1 years |
| Median Income | $57,585 | $95,101 |
| Married Families | 41.0% | 45.0% |
| Poverty Level | 16% | 6% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Lawrence vs Indian trail
- In Lawrence, the population is higher at 84,849, compared to 41,724 in Indian trail.
- Residents in Lawrence have a higher median age of 45.0 years compared to 36.1 years in Indian trail.
- Indian trail has a higher median income of $95,101, compared to $57,585 in Lawrence.
- In Indian trail, the percentage of married families is higher at 45.0%, compared to 41.0% in Lawrence.
- Lawrence has a higher poverty level at 16% compared to 6% in Indian trail.
- The unemployment rate in Lawrence is higher at 4.2%, compared to 3.8% in Indian trail.
Demographics
Demographics Lawrence vs Indian trail provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Indian trail |
|---|---|---|
| Black | 4 | 9 |
| White | 90 | 71 |
| Asian | Data is updating | 3 |
| Hispanic | 2 | 11 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lawrence vs Indian trail
- In Indian trail, the percentage of Black residents is higher at 9% compared to 4% in Lawrence.
- Lawrence has a higher percentage of White residents at 90% compared to 71% in Indian trail.
- In Indian trail, the Asian population stands at 3%, greater than 0% in Lawrence.
- Indian trail has a higher percentage of Hispanic residents at 11%, compared to 2% in Lawrence.
- The percentage of residents identifying as two or more races is higher in Indian trail at 6%, compared to 4% in Lawrence.
- The percentage of American Indian residents is the same in both Lawrence and Indian trail at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Indian trail |
|---|---|---|
| Mental Health Not Good | 17.6% | 14.6% |
| Physical Health Not Good | 12.0% | 9.3% |
| Depression | 24.0% | 22.0% |
| Smoking | 20.3% | 13.5% |
| Binge Drinking | 18.9% | 18.5% |
| Obesity | 36.4% | 31.2% |
| Disability Percentage | 17.0% | 7.0% |
Health Statistics Comparison: Lawrence vs Indian trail
- More residents in Lawrence report poor mental health at 17.6% compared to 14.6% in Indian trail.
- Depression is more prevalent in Lawrence at 24.0% compared to 22.0% in Indian trail.
- Smoking is more prevalent in Lawrence at 20.3% compared to 13.5% in Indian trail.
- Binge drinking is more common in Lawrence at 18.9% compared to 18.5% in Indian trail.
- Obesity rates are higher in Lawrence at 36.4% compared to 31.2% in Indian trail.
- Disability percentages are higher in Lawrence at 17.0% compared to 7.0% in Indian trail.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lawrence | Indian trail |
|---|---|---|
| No Schooling | 0.5% (423) | 0.7% (287) |
| High School Diploma | 27.6% (23,416) | 12.8% (5,353) |
| Less than High School | 11.2% (9,514) | 6.6% (2,761) |
| Bachelor's Degree and Higher | 16.0% (13,617) | 24.4% (10,201) |
Education Levels Comparison: Lawrence vs Indian trail
- In Indian trail, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Lawrence.
- A higher percentage of residents in Lawrence hold a high school diploma at 27.6% compared to 12.8% in Indian trail.
- More residents in Lawrence have less than a high school education at 11.2% compared to 6.6% in Indian trail.
- In Indian trail, a larger share of residents have a bachelor's degree or higher at 24.4% compared to 16.0% in Lawrence.
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.