Demographics details for Laurel, MD vs Dickinson, TX
Population Overview
Compare main population characteristics in Laurel, MD vs Dickinson, TX.
| Data | Laurel | Dickinson |
|---|---|---|
| Population | 29,352 | 21,738 |
| Median Age | 36.4 years | 35.8 years |
| Median Income | $92,035 | $81,739 |
| Married Families | 33.0% | 42.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.4 | 4.9 |
Population Comparison: Laurel vs Dickinson
- In Laurel, the population is higher at 29,352, compared to 21,738 in Dickinson.
- Residents in Laurel have a higher median age of 36.4 years compared to 35.8 years in Dickinson.
- Laurel has a higher median income of $92,035 compared to $81,739 in Dickinson.
- In Dickinson, the percentage of married families is higher at 42.0%, compared to 33.0% in Laurel.
- The poverty level is identical in both Laurel and Dickinson at 9%.
- Dickinson has a higher unemployment rate at 4.9% compared to 3.4% in Laurel.
Demographics
Demographics Laurel vs Dickinson provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Dickinson |
|---|---|---|
| Black | 52 | 7 |
| White | 11 | 36 |
| Asian | 10 | 1 |
| Hispanic | 18 | 39 |
| Two or More Races | 8 | 17 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Dickinson
- A higher percentage of Black residents are in Laurel at 52% compared to 7% in Dickinson.
- The percentage of White residents is higher in Dickinson at 36% compared to 11% in Laurel.
- The Asian population is larger in Laurel at 10% compared to 1% in Dickinson.
- Dickinson has a higher percentage of Hispanic residents at 39%, compared to 18% in Laurel.
- The percentage of residents identifying as two or more races is higher in Dickinson at 17%, compared to 8% in Laurel.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Dickinson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Dickinson |
|---|---|---|
| Mental Health Not Good | 13.1% | 17.2% |
| Physical Health Not Good | 8.6% | 12.3% |
| Depression | 13.1% | 22.7% |
| Smoking | 10.4% | 17.2% |
| Binge Drinking | 12.4% | 17.6% |
| Obesity | 36.6% | 36.5% |
| Disability Percentage | 7.0% | 11.0% |
Health Statistics Comparison: Laurel vs Dickinson
- In Dickinson, a higher percentage report poor mental health at 17.2% compared to 13.1% in Laurel.
- Higher depression rates are seen in Dickinson at 22.7% versus 13.1% in Laurel.
- Dickinson has a higher smoking rate at 17.2% compared to 10.4% in Laurel.
- More residents engage in binge drinking in Dickinson at 17.6% compared to 12.4% in Laurel.
- Obesity rates are higher in Laurel at 36.6% compared to 36.5% in Dickinson.
- There is a higher percentage of disabled individuals in Dickinson at 11.0% compared to 7.0% in Laurel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Laurel | Dickinson |
|---|---|---|
| No Schooling | 1.8% (521) | 1.9% (403) |
| High School Diploma | 10.0% (2,934) | 12.0% (2,607) |
| Less than High School | 12.3% (3,616) | 18.9% (4,116) |
| Bachelor's Degree and Higher | 30.9% (9,081) | 15.8% (3,445) |
Education Levels Comparison: Laurel vs Dickinson
- In Dickinson, a larger percentage of residents lack formal schooling at 1.9% compared to 1.8% in Laurel.
- In Dickinson, the rate of residents with high school diplomas is higher at 12.0% compared to 10.0% in Laurel.
- The percentage of residents with less than a high school education is higher in Dickinson at 18.9%, compared to 12.3% in Laurel.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 30.9% compared to 15.8% in Dickinson.
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.