Demographics details for Laurel, MT vs Flint hill, VA
Population Overview
Compare main population characteristics in Laurel, MT vs Flint hill, VA.
Data | Laurel | Flint hill |
---|---|---|
Population | 7,203 | 319 |
Median Age | 36.5 years | 28.0 years |
Median Income | $62,250 | $39,044 |
Married Families | 37.0% | 47.0% |
Poverty Level | 7% | 4% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Laurel vs Flint hill
- In Laurel, the population is higher at 7,203, compared to 319 in Flint hill.
- Residents in Laurel have a higher median age of 36.5 years compared to 28.0 years in Flint hill.
- Laurel has a higher median income of $62,250 compared to $39,044 in Flint hill.
- In Flint hill, the percentage of married families is higher at 47.0%, compared to 37.0% in Laurel.
- Laurel has a higher poverty level at 7% compared to 4% in Flint hill.
- The unemployment rate in Laurel is higher at 3.5%, compared to 3.2% in Flint hill.
Demographics
Demographics Laurel vs Flint hill provide insight into the diversity of the communities to compare.
Demographic | Laurel | Flint hill |
---|---|---|
Black | Data is updating | Data is updating |
White | 83 | 67 |
Asian | 2 | Data is updating |
Hispanic | 7 | 26 |
Two or More Races | 7 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Flint hill
- The percentage of Black residents is the same in both Laurel and Flint hill at 0%.
- Laurel has a higher percentage of White residents at 83% compared to 67% in Flint hill.
- The Asian population is larger in Laurel at 2% compared to 0% in Flint hill.
- Flint hill has a higher percentage of Hispanic residents at 26%, compared to 7% in Laurel.
- Both Laurel and Flint hill 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 Flint hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurel | Flint hill |
---|---|---|
Mental Health Not Good | 16.4% | 16.5% |
Physical Health Not Good | 10.8% | 10.4% |
Depression | 27.8% | 24.0% |
Smoking | 15.8% | 16.0% |
Binge Drinking | 23.8% | 18.5% |
Obesity | 32.2% | 34.4% |
Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Laurel vs Flint hill
- In Flint hill, a higher percentage report poor mental health at 16.5% compared to 16.4% in Laurel.
- Depression is more prevalent in Laurel at 27.8% compared to 24.0% in Flint hill.
- Flint hill has a higher smoking rate at 16.0% compared to 15.8% in Laurel.
- Binge drinking is more common in Laurel at 23.8% compared to 18.5% in Flint hill.
- Flint hill has higher obesity rates at 34.4% compared to 32.2% in Laurel.
- There is a higher percentage of disabled individuals in Flint hill at 15.0% compared to 13.0% in Laurel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurel | Flint hill |
---|---|---|
No Schooling | 0.2% (14) | 0.0% (Data is updating) |
High School Diploma | 21.7% (1,563) | 20.1% (64) |
Less than High School | 7.7% (556) | 28.2% (90) |
Bachelor's Degree and Higher | 10.8% (780) | 15.7% (50) |
Education Levels Comparison: Laurel vs Flint hill
- A higher percentage of residents in Laurel have no formal schooling at 0.2% compared to 0.0% in Flint hill.
- A higher percentage of residents in Laurel hold a high school diploma at 21.7% compared to 20.1% in Flint hill.
- The percentage of residents with less than a high school education is higher in Flint hill at 28.2%, compared to 7.7% in Laurel.
- In Flint hill, a larger share of residents have a bachelor's degree or higher at 15.7% 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.