Demographics details for Laurel, MD vs Pleasant hill, OR
Population Overview
Compare main population characteristics in Laurel, MD vs Pleasant hill, OR.
| Data | Laurel | Pleasant hill |
|---|---|---|
| Population | 29,352 | 5,046 |
| Median Age | 36.4 years | 48.6 years |
| Median Income | $92,035 | $77,188 |
| Married Families | 33.0% | 48.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 3.4 | 4.2 |
Population Comparison: Laurel vs Pleasant hill
- In Laurel, the population is higher at 29,352, compared to 5,046 in Pleasant hill.
- The median age in Pleasant hill is higher at 48.6 years, compared to 36.4 years in Laurel.
- Laurel has a higher median income of $92,035 compared to $77,188 in Pleasant hill.
- In Pleasant hill, the percentage of married families is higher at 48.0%, compared to 33.0% in Laurel.
- Laurel has a higher poverty level at 9% compared to 8% in Pleasant hill.
- Pleasant hill has a higher unemployment rate at 4.2% compared to 3.4% in Laurel.
Demographics
Demographics Laurel vs Pleasant hill provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Pleasant hill |
|---|---|---|
| Black | 52 | 1 |
| White | 11 | 92 |
| Asian | 10 | 1 |
| Hispanic | 18 | 2 |
| Two or More Races | 8 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Laurel vs Pleasant hill
- A higher percentage of Black residents are in Laurel at 52% compared to 1% in Pleasant hill.
- The percentage of White residents is higher in Pleasant hill at 92% compared to 11% in Laurel.
- The Asian population is larger in Laurel at 10% compared to 1% in Pleasant hill.
- The Hispanic community is larger in Laurel at 18% compared to 2% in Pleasant hill.
- More residents identify as two or more races in Laurel at 8% compared to 3% in Pleasant hill.
- The percentage of American Indian residents is the same in both Laurel and Pleasant hill at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Pleasant hill |
|---|---|---|
| Mental Health Not Good | 13.1% | Data is updating% |
| Physical Health Not Good | 8.6% | Data is updating% |
| Depression | 13.1% | Data is updating% |
| Smoking | 10.4% | Data is updating% |
| Binge Drinking | 12.4% | Data is updating% |
| Obesity | 36.6% | Data is updating% |
| Disability Percentage | 7.0% | 18.0% |
Health Statistics Comparison: Laurel vs Pleasant hill
- More residents in Laurel report poor mental health at 13.1% compared to 0.0% in Pleasant hill.
- Depression is more prevalent in Laurel at 13.1% compared to 0.0% in Pleasant hill.
- Smoking is more prevalent in Laurel at 10.4% compared to 0.0% in Pleasant hill.
- Binge drinking is more common in Laurel at 12.4% compared to 0.0% in Pleasant hill.
- Obesity rates are higher in Laurel at 36.6% compared to 0.0% in Pleasant hill.
- There is a higher percentage of disabled individuals in Pleasant hill at 18.0% 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 | Pleasant hill |
|---|---|---|
| No Schooling | 1.8% (521) | 0.1% (6) |
| High School Diploma | 10.0% (2,934) | 16.9% (852) |
| Less than High School | 12.3% (3,616) | 8.2% (414) |
| Bachelor's Degree and Higher | 30.9% (9,081) | 19.1% (965) |
Education Levels Comparison: Laurel vs Pleasant hill
- A higher percentage of residents in Laurel have no formal schooling at 1.8% compared to 0.1% in Pleasant hill.
- In Pleasant hill, the rate of residents with high school diplomas is higher at 16.9% compared to 10.0% in Laurel.
- More residents in Laurel have less than a high school education at 12.3% compared to 8.2% in Pleasant hill.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 30.9% compared to 19.1% in Pleasant hill.
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.