Demographics details for Laurel, MS vs Madison heights, VA
Population Overview
Compare main population characteristics in Laurel, MS vs Madison heights, VA.
Data | Laurel | Madison heights |
---|---|---|
Population | 17,066 | 10,694 |
Median Age | 37.6 years | 44.1 years |
Median Income | $36,336 | $59,570 |
Married Families | 29.0% | 38.0% |
Poverty Level | 20% | 12% |
Unemployment Rate | 5.4 | 3.5 |
Population Comparison: Laurel vs Madison heights
- In Laurel, the population is higher at 17,066, compared to 10,694 in Madison heights.
- The median age in Madison heights is higher at 44.1 years, compared to 37.6 years in Laurel.
- Madison heights has a higher median income of $59,570, compared to $36,336 in Laurel.
- In Madison heights, the percentage of married families is higher at 38.0%, compared to 29.0% in Laurel.
- Laurel has a higher poverty level at 20% compared to 12% in Madison heights.
- The unemployment rate in Laurel is higher at 5.4%, compared to 3.5% in Madison heights.
Demographics
Demographics Laurel vs Madison heights provide insight into the diversity of the communities to compare.
Demographic | Laurel | Madison heights |
---|---|---|
Black | 66 | 23 |
White | 28 | 71 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 3 |
Two or More Races | 1 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Madison heights
- A higher percentage of Black residents are in Laurel at 66% compared to 23% in Madison heights.
- The percentage of White residents is higher in Madison heights at 71% compared to 28% in Laurel.
- Both Laurel and Madison heights have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Laurel at 4% compared to 3% in Madison heights.
- The percentage of residents identifying as two or more races is higher in Madison heights at 3%, compared to 1% in Laurel.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Madison heights.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Laurel | Madison heights |
---|---|---|
Mental Health Not Good | 17.9% | 18.3% |
Physical Health Not Good | 14.9% | 12.1% |
Depression | 21.8% | 24.7% |
Smoking | 23.1% | 19.0% |
Binge Drinking | 11.6% | 17.3% |
Obesity | 44.5% | 36.8% |
Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: Laurel vs Madison heights
- In Madison heights, a higher percentage report poor mental health at 18.3% compared to 17.9% in Laurel.
- Higher depression rates are seen in Madison heights at 24.7% versus 21.8% in Laurel.
- Smoking is more prevalent in Laurel at 23.1% compared to 19.0% in Madison heights.
- More residents engage in binge drinking in Madison heights at 17.3% compared to 11.6% in Laurel.
- Obesity rates are higher in Laurel at 44.5% compared to 36.8% in Madison heights.
- There is a higher percentage of disabled individuals in Madison heights at 20.0% compared to 18.0% in Laurel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Laurel | Madison heights |
---|---|---|
No Schooling | 0.7% (124) | 1.6% (171) |
High School Diploma | 17.3% (2,956) | 20.6% (2,206) |
Less than High School | 17.5% (2,979) | 16.4% (1,753) |
Bachelor's Degree and Higher | 14.6% (2,485) | 11.3% (1,207) |
Education Levels Comparison: Laurel vs Madison heights
- In Madison heights, a larger percentage of residents lack formal schooling at 1.6% compared to 0.7% in Laurel.
- In Madison heights, the rate of residents with high school diplomas is higher at 20.6% compared to 17.3% in Laurel.
- More residents in Laurel have less than a high school education at 17.5% compared to 16.4% in Madison heights.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 14.6% compared to 11.3% in Madison heights.
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.