Demographics details for Murrieta, CA vs Marshall, AR
Population Overview
Compare main population characteristics in Murrieta, CA vs Marshall, AR.
| Data | Murrieta | Marshall |
|---|---|---|
| Population | 113,783 | 1,339 |
| Median Age | 35.6 years | 52.3 years |
| Median Income | $106,925 | $28,290 |
| Married Families | 41.0% | 33.0% |
| Poverty Level | 9% | 16% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Murrieta vs Marshall
- In Murrieta, the population is higher at 113,783, compared to 1,339 in Marshall.
- The median age in Marshall is higher at 52.3 years, compared to 35.6 years in Murrieta.
- Murrieta has a higher median income of $106,925 compared to $28,290 in Marshall.
- A higher percentage of married families is found in Murrieta at 41.0% compared to 33.0% in Marshall.
- The poverty level is higher in Marshall at 16%, compared to 9% in Murrieta.
- The unemployment rate in Murrieta is higher at 4.3%, compared to 4.2% in Marshall.
Demographics
Demographics Murrieta vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | Murrieta | Marshall |
|---|---|---|
| Black | 5 | Data is updating |
| White | 38 | 84 |
| Asian | 8 | Data is updating |
| Hispanic | 34 | 3 |
| Two or More Races | 15 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Murrieta vs Marshall
- A higher percentage of Black residents are in Murrieta at 5% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 84% compared to 38% in Murrieta.
- The Asian population is larger in Murrieta at 8% compared to 0% in Marshall.
- The Hispanic community is larger in Murrieta at 34% compared to 3% in Marshall.
- More residents identify as two or more races in Murrieta at 15% compared to 12% in Marshall.
- In Marshall, the percentage of American Indian residents is higher at 1%, compared to 0% in Murrieta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Murrieta | Marshall |
|---|---|---|
| Mental Health Not Good | 15.0% | 21.7% |
| Physical Health Not Good | 9.7% | 16.2% |
| Depression | 17.3% | 29.8% |
| Smoking | 11.3% | 27.2% |
| Binge Drinking | 17.6% | 14.7% |
| Obesity | 32.5% | 39.2% |
| Disability Percentage | 10.0% | 30.0% |
Health Statistics Comparison: Murrieta vs Marshall
- In Marshall, a higher percentage report poor mental health at 21.7% compared to 15.0% in Murrieta.
- Higher depression rates are seen in Marshall at 29.8% versus 17.3% in Murrieta.
- Marshall has a higher smoking rate at 27.2% compared to 11.3% in Murrieta.
- Binge drinking is more common in Murrieta at 17.6% compared to 14.7% in Marshall.
- Marshall has higher obesity rates at 39.2% compared to 32.5% in Murrieta.
- There is a higher percentage of disabled individuals in Marshall at 30.0% compared to 10.0% in Murrieta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Murrieta | Marshall |
|---|---|---|
| No Schooling | 1.2% (1,387) | 0.9% (12) |
| High School Diploma | 11.8% (13,439) | 27.9% (373) |
| Less than High School | 8.4% (9,580) | 32.4% (434) |
| Bachelor's Degree and Higher | 18.6% (21,123) | 11.7% (156) |
Education Levels Comparison: Murrieta vs Marshall
- A higher percentage of residents in Murrieta have no formal schooling at 1.2% compared to 0.9% in Marshall.
- In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 11.8% in Murrieta.
- The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 8.4% in Murrieta.
- A higher percentage of residents in Murrieta hold a bachelor's degree or higher at 18.6% compared to 11.7% in Marshall.
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.