Demographics details for Laurel, MD vs Temple city, CA
Population Overview
Compare main population characteristics in Laurel, MD vs Temple city, CA.
| Data | Laurel | Temple city |
|---|---|---|
| Population | 29,352 | 35,296 |
| Median Age | 36.4 years | 42.9 years |
| Median Income | $92,035 | $95,263 |
| Married Families | 33.0% | 44.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 3.4 | 5.1 |
Population Comparison: Laurel vs Temple city
- The population in Temple city is higher at 35,296, compared to 29,352 in Laurel.
- The median age in Temple city is higher at 42.9 years, compared to 36.4 years in Laurel.
- Temple city has a higher median income of $95,263, compared to $92,035 in Laurel.
- In Temple city, the percentage of married families is higher at 44.0%, compared to 33.0% in Laurel.
- Laurel has a higher poverty level at 9% compared to 0% in Temple city.
- Temple city has a higher unemployment rate at 5.1% compared to 3.4% in Laurel.
Demographics
Demographics Laurel vs Temple city provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Temple city |
|---|---|---|
| Black | 52 | Data is updating |
| White | 11 | 7 |
| Asian | 10 | 67 |
| Hispanic | 18 | 18 |
| Two or More Races | 8 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Temple city
- A higher percentage of Black residents are in Laurel at 52% compared to 0% in Temple city.
- Laurel has a higher percentage of White residents at 11% compared to 7% in Temple city.
- In Temple city, the Asian population stands at 67%, greater than 10% in Laurel.
- The percentage of Hispanic residents is the same in both Laurel and Temple city at 18%.
- Both Laurel and Temple city have the same percentage of residents identifying as two or more races at 8%.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Temple city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Temple city |
|---|---|---|
| Mental Health Not Good | 13.1% | 12.9% |
| Physical Health Not Good | 8.6% | 8.9% |
| Depression | 13.1% | 12.6% |
| Smoking | 10.4% | 9.3% |
| Binge Drinking | 12.4% | 12.4% |
| Obesity | 36.6% | 20.1% |
| Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Laurel vs Temple city
- More residents in Laurel report poor mental health at 13.1% compared to 12.9% in Temple city.
- Depression is more prevalent in Laurel at 13.1% compared to 12.6% in Temple city.
- Smoking is more prevalent in Laurel at 10.4% compared to 9.3% in Temple city.
- Binge drinking rates are similar in both Laurel and Temple city at 12.4%.
- Obesity rates are higher in Laurel at 36.6% compared to 20.1% in Temple city.
- There is a higher percentage of disabled individuals in Temple city at 9.0% 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 | Temple city |
|---|---|---|
| No Schooling | 1.8% (521) | 2.1% (724) |
| High School Diploma | 10.0% (2,934) | 14.7% (5,202) |
| Less than High School | 12.3% (3,616) | 11.4% (4,037) |
| Bachelor's Degree and Higher | 30.9% (9,081) | 30.7% (10,834) |
Education Levels Comparison: Laurel vs Temple city
- In Temple city, a larger percentage of residents lack formal schooling at 2.1% compared to 1.8% in Laurel.
- In Temple city, the rate of residents with high school diplomas is higher at 14.7% compared to 10.0% in Laurel.
- More residents in Laurel have less than a high school education at 12.3% compared to 11.4% in Temple city.
- A higher percentage of residents in Laurel hold a bachelor's degree or higher at 30.9% compared to 30.7% in Temple city.
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.