Demographics details for Flint hill, VA vs Lawrence, MA
Population Overview
Compare main population characteristics in Flint hill, VA vs Lawrence, MA.
Data | Flint hill | Lawrence |
---|---|---|
Population | 319 | 87,954 |
Median Age | 28.0 years | 31.5 years |
Median Income | $39,044 | $53,977 |
Married Families | 47.0% | 26.0% |
Poverty Level | 4% | 15% |
Unemployment Rate | 3.2 | 7.1 |
Population Comparison: Flint hill vs Lawrence
- The population in Lawrence is higher at 87,954, compared to 319 in Flint hill.
- The median age in Lawrence is higher at 31.5 years, compared to 28.0 years in Flint hill.
- Lawrence has a higher median income of $53,977, compared to $39,044 in Flint hill.
- A higher percentage of married families is found in Flint hill at 47.0% compared to 26.0% in Lawrence.
- The poverty level is higher in Lawrence at 15%, compared to 4% in Flint hill.
- Lawrence has a higher unemployment rate at 7.1% compared to 3.2% in Flint hill.
Demographics
Demographics Flint hill vs Lawrence provide insight into the diversity of the communities to compare.
Demographic | Flint hill | Lawrence |
---|---|---|
Black | Data is updating | 5 |
White | 67 | -4 |
Asian | Data is updating | 2 |
Hispanic | 26 | 82 |
Two or More Races | 7 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Flint hill vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 0% in Flint hill.
- Flint hill has a higher percentage of White residents at 67% compared to -4% in Lawrence.
- In Lawrence, the Asian population stands at 2%, greater than 0% in Flint hill.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 26% in Flint hill.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 7% in Flint hill.
- The percentage of American Indian residents is the same in both Flint hill and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Flint hill | Lawrence |
---|---|---|
Mental Health Not Good | 16.5% | 18.9% |
Physical Health Not Good | 10.4% | 14.2% |
Depression | 24.0% | 22.4% |
Smoking | 16.0% | 17.3% |
Binge Drinking | 18.5% | 14.5% |
Obesity | 34.4% | 37.4% |
Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Flint hill vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 18.9% compared to 16.5% in Flint hill.
- Depression is more prevalent in Flint hill at 24.0% compared to 22.4% in Lawrence.
- Lawrence has a higher smoking rate at 17.3% compared to 16.0% in Flint hill.
- Binge drinking is more common in Flint hill at 18.5% compared to 14.5% in Lawrence.
- Lawrence has higher obesity rates at 37.4% compared to 34.4% in Flint hill.
- Disability percentages are higher in Flint hill at 15.0% 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 | Flint hill | Lawrence |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.7% (2,366) |
High School Diploma | 20.1% (64) | 18.6% (16,316) |
Less than High School | 28.2% (90) | 34.1% (29,963) |
Bachelor's Degree and Higher | 15.7% (50) | 9.2% (8,067) |
Education Levels Comparison: Flint hill vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 0.0% in Flint hill.
- A higher percentage of residents in Flint hill hold a high school diploma at 20.1% 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 28.2% in Flint hill.
- A higher percentage of residents in Flint hill hold a bachelor's degree or higher at 15.7% 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.