Demographics details for Laurel, MS vs Mokelumne hill, CA
Population Overview
Compare main population characteristics in Laurel, MS vs Mokelumne hill, CA.
| Data | Laurel | Mokelumne hill |
|---|---|---|
| Population | 17,066 | 808 |
| Median Age | 37.6 years | 61.8 years |
| Median Income | $36,336 | $81,483 |
| Married Families | 29.0% | 65.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 5.4 | 3.5 |
Population Comparison: Laurel vs Mokelumne hill
- In Laurel, the population is higher at 17,066, compared to 808 in Mokelumne hill.
- The median age in Mokelumne hill is higher at 61.8 years, compared to 37.6 years in Laurel.
- Mokelumne hill has a higher median income of $81,483, compared to $36,336 in Laurel.
- In Mokelumne hill, the percentage of married families is higher at 65.0%, compared to 29.0% in Laurel.
- Laurel has a higher poverty level at 20% compared to 10% in Mokelumne hill.
- The unemployment rate in Laurel is higher at 5.4%, compared to 3.5% in Mokelumne hill.
Demographics
Demographics Laurel vs Mokelumne hill provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Mokelumne hill |
|---|---|---|
| Black | 66 | 15 |
| White | 28 | 48 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 24 |
| Two or More Races | 1 | 13 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Mokelumne hill
- A higher percentage of Black residents are in Laurel at 66% compared to 15% in Mokelumne hill.
- The percentage of White residents is higher in Mokelumne hill at 48% compared to 28% in Laurel.
- Both Laurel and Mokelumne hill have the same percentage of Asian residents at 0%.
- Mokelumne hill has a higher percentage of Hispanic residents at 24%, compared to 4% in Laurel.
- The percentage of residents identifying as two or more races is higher in Mokelumne hill at 13%, compared to 1% in Laurel.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Mokelumne hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Mokelumne hill |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.8% |
| Physical Health Not Good | 14.9% | 13.6% |
| Depression | 21.8% | 24.2% |
| Smoking | 23.1% | 17.6% |
| Binge Drinking | 11.6% | 16.7% |
| Obesity | 44.5% | 32.4% |
| Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Laurel vs Mokelumne hill
- In Mokelumne hill, a higher percentage report poor mental health at 19.8% compared to 17.9% in Laurel.
- Higher depression rates are seen in Mokelumne hill at 24.2% versus 21.8% in Laurel.
- Smoking is more prevalent in Laurel at 23.1% compared to 17.6% in Mokelumne hill.
- More residents engage in binge drinking in Mokelumne hill at 16.7% compared to 11.6% in Laurel.
- Obesity rates are higher in Laurel at 44.5% compared to 32.4% in Mokelumne hill.
- Disability percentages are higher in Laurel at 18.0% compared to 9.0% in Mokelumne hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Laurel | Mokelumne hill |
|---|---|---|
| No Schooling | 0.7% (124) | 0.0% (Data is updating) |
| High School Diploma | 17.3% (2,956) | 12.5% (101) |
| Less than High School | 17.5% (2,979) | 8.7% (70) |
| Bachelor's Degree and Higher | 14.6% (2,485) | 20.2% (163) |
Education Levels Comparison: Laurel vs Mokelumne hill
- A higher percentage of residents in Laurel have no formal schooling at 0.7% compared to 0.0% in Mokelumne hill.
- A higher percentage of residents in Laurel hold a high school diploma at 17.3% compared to 12.5% in Mokelumne hill.
- More residents in Laurel have less than a high school education at 17.5% compared to 8.7% in Mokelumne hill.
- In Mokelumne hill, a larger share of residents have a bachelor's degree or higher at 20.2% compared to 14.6% 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.