Demographics details for Erwin, TN vs Lawrence, MA
Population Overview
Compare main population characteristics in Erwin, TN vs Lawrence, MA.
| Data | Erwin | Lawrence |
|---|---|---|
| Population | 5,953 | 87,954 |
| Median Age | 46.8 years | 31.5 years |
| Median Income | $40,670 | $53,977 |
| Married Families | 48.0% | 26.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 4.5 | 7.1 |
Population Comparison: Erwin vs Lawrence
- The population in Lawrence is higher at 87,954, compared to 5,953 in Erwin.
- Residents in Erwin have a higher median age of 46.8 years compared to 31.5 years in Lawrence.
- Lawrence has a higher median income of $53,977, compared to $40,670 in Erwin.
- A higher percentage of married families is found in Erwin at 48.0% compared to 26.0% in Lawrence.
- The poverty level is higher in Lawrence at 15%, compared to 12% in Erwin.
- Lawrence has a higher unemployment rate at 7.1% compared to 4.5% in Erwin.
Demographics
Demographics Erwin vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Erwin | Lawrence |
|---|---|---|
| Black | Data is updating | 5 |
| White | 87 | -4 |
| Asian | Data is updating | 2 |
| Hispanic | 8 | 82 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Erwin vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 0% in Erwin.
- Erwin has a higher percentage of White residents at 87% compared to -4% in Lawrence.
- In Lawrence, the Asian population stands at 2%, greater than 0% in Erwin.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 8% in Erwin.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 5% in Erwin.
- The percentage of American Indian residents is the same in both Erwin and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Erwin | Lawrence |
|---|---|---|
| Mental Health Not Good | 20.2% | 18.9% |
| Physical Health Not Good | 14.1% | 14.2% |
| Depression | 29.7% | 22.4% |
| Smoking | 23.6% | 17.3% |
| Binge Drinking | 15.9% | 14.5% |
| Obesity | 38.0% | 37.4% |
| Disability Percentage | 21.0% | 14.0% |
Health Statistics Comparison: Erwin vs Lawrence
- More residents in Erwin report poor mental health at 20.2% compared to 18.9% in Lawrence.
- Depression is more prevalent in Erwin at 29.7% compared to 22.4% in Lawrence.
- Smoking is more prevalent in Erwin at 23.6% compared to 17.3% in Lawrence.
- Binge drinking is more common in Erwin at 15.9% compared to 14.5% in Lawrence.
- Obesity rates are higher in Erwin at 38.0% compared to 37.4% in Lawrence.
- Disability percentages are higher in Erwin at 21.0% compared to 14.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Erwin | Lawrence |
|---|---|---|
| No Schooling | 0.3% (15) | 2.7% (2,366) |
| High School Diploma | 20.2% (1,201) | 18.6% (16,316) |
| Less than High School | 19.7% (1,170) | 34.1% (29,963) |
| Bachelor's Degree and Higher | 11.7% (698) | 9.2% (8,067) |
Education Levels Comparison: Erwin vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 0.3% in Erwin.
- A higher percentage of residents in Erwin hold a high school diploma at 20.2% compared to 18.6% in Lawrence.
- The percentage of residents with less than a high school education is higher in Lawrence at 34.1%, compared to 19.7% in Erwin.
- A higher percentage of residents in Erwin hold a bachelor's degree or higher at 11.7% compared to 9.2% 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.