Demographics details for Tustin, CA vs Mountain grove, MO
Population Overview
Compare main population characteristics in Tustin, CA vs Mountain grove, MO.
| Data | Tustin | Mountain grove |
|---|---|---|
| Population | 78,418 | 4,551 |
| Median Age | 36.2 years | 42.3 years |
| Median Income | $102,065 | $38,103 |
| Married Families | 40.0% | 35.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Tustin vs Mountain grove
- In Tustin, the population is higher at 78,418, compared to 4,551 in Mountain grove.
- The median age in Mountain grove is higher at 42.3 years, compared to 36.2 years in Tustin.
- Tustin has a higher median income of $102,065 compared to $38,103 in Mountain grove.
- A higher percentage of married families is found in Tustin at 40.0% compared to 35.0% in Mountain grove.
- The poverty level is higher in Mountain grove at 15%, compared to 8% in Tustin.
- Mountain grove has a higher unemployment rate at 4.5% compared to 4.0% in Tustin.
Demographics
Demographics Tustin vs Mountain grove provide insight into the diversity of the communities to compare.
| Demographic | Tustin | Mountain grove |
|---|---|---|
| Black | 2 | Data is updating |
| White | 19 | 89 |
| Asian | 26 | 1 |
| Hispanic | 41 | 2 |
| Two or More Races | 11 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Tustin vs Mountain grove
- A higher percentage of Black residents are in Tustin at 2% compared to 0% in Mountain grove.
- The percentage of White residents is higher in Mountain grove at 89% compared to 19% in Tustin.
- The Asian population is larger in Tustin at 26% compared to 1% in Mountain grove.
- The Hispanic community is larger in Tustin at 41% compared to 2% in Mountain grove.
- More residents identify as two or more races in Tustin at 11% compared to 8% in Mountain grove.
- A greater percentage of American Indian residents live in Tustin at 1% compared to 0% in Mountain grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tustin | Mountain grove |
|---|---|---|
| Mental Health Not Good | 14.0% | 22.5% |
| Physical Health Not Good | 9.5% | 18.1% |
| Depression | 16.5% | 28.4% |
| Smoking | 9.4% | 31.2% |
| Binge Drinking | 15.8% | 14.8% |
| Obesity | 25.5% | 44.6% |
| Disability Percentage | 7.0% | 24.0% |
Health Statistics Comparison: Tustin vs Mountain grove
- In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 14.0% in Tustin.
- Higher depression rates are seen in Mountain grove at 28.4% versus 16.5% in Tustin.
- Mountain grove has a higher smoking rate at 31.2% compared to 9.4% in Tustin.
- Binge drinking is more common in Tustin at 15.8% compared to 14.8% in Mountain grove.
- Mountain grove has higher obesity rates at 44.6% compared to 25.5% in Tustin.
- There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 7.0% in Tustin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tustin | Mountain grove |
|---|---|---|
| No Schooling | 2.8% (2,234) | 0.6% (26) |
| High School Diploma | 9.7% (7,595) | 27.6% (1,256) |
| Less than High School | 14.9% (11,700) | 23.2% (1,057) |
| Bachelor's Degree and Higher | 31.0% (24,275) | 8.8% (400) |
Education Levels Comparison: Tustin vs Mountain grove
- A higher percentage of residents in Tustin have no formal schooling at 2.8% compared to 0.6% in Mountain grove.
- In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 9.7% in Tustin.
- The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 14.9% in Tustin.
- A higher percentage of residents in Tustin hold a bachelor's degree or higher at 31.0% compared to 8.8% in Mountain grove.
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.