Demographics details for Montgomery, IL vs Tustin, CA
Population Overview
Compare main population characteristics in Montgomery, IL vs Tustin, CA.
| Data | Montgomery | Tustin |
|---|---|---|
| Population | 21,799 | 78,418 |
| Median Age | 31.7 years | 36.2 years |
| Median Income | $105,240 | $102,065 |
| Married Families | 36.0% | 40.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Montgomery vs Tustin
- The population in Tustin is higher at 78,418, compared to 21,799 in Montgomery.
- The median age in Tustin is higher at 36.2 years, compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240 compared to $102,065 in Tustin.
- In Tustin, the percentage of married families is higher at 40.0%, compared to 36.0% in Montgomery.
- The poverty level is higher in Tustin at 8%, compared to 5% in Montgomery.
- Tustin has a higher unemployment rate at 4.0% compared to 3.5% in Montgomery.
Demographics
Demographics Montgomery vs Tustin provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Tustin |
|---|---|---|
| Black | 5 | 2 |
| White | 52 | 19 |
| Asian | 1 | 26 |
| Hispanic | 31 | 41 |
| Two or More Races | 11 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Montgomery vs Tustin
- A higher percentage of Black residents are in Montgomery at 5% compared to 2% in Tustin.
- Montgomery has a higher percentage of White residents at 52% compared to 19% in Tustin.
- In Tustin, the Asian population stands at 26%, greater than 1% in Montgomery.
- Tustin has a higher percentage of Hispanic residents at 41%, compared to 31% in Montgomery.
- Both Montgomery and Tustin have the same percentage of residents identifying as two or more races at 11%.
- In Tustin, the percentage of American Indian residents is higher at 1%, compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Tustin |
|---|---|---|
| Mental Health Not Good | 14.6% | 14.0% |
| Physical Health Not Good | 10.3% | 9.5% |
| Depression | 18.8% | 16.5% |
| Smoking | 14.1% | 9.4% |
| Binge Drinking | 17.3% | 15.8% |
| Obesity | 34.4% | 25.5% |
| Disability Percentage | 4.0% | 7.0% |
Health Statistics Comparison: Montgomery vs Tustin
- More residents in Montgomery report poor mental health at 14.6% compared to 14.0% in Tustin.
- Depression is more prevalent in Montgomery at 18.8% compared to 16.5% in Tustin.
- Smoking is more prevalent in Montgomery at 14.1% compared to 9.4% in Tustin.
- Binge drinking is more common in Montgomery at 17.3% compared to 15.8% in Tustin.
- Obesity rates are higher in Montgomery at 34.4% compared to 25.5% in Tustin.
- There is a higher percentage of disabled individuals in Tustin at 7.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Tustin |
|---|---|---|
| No Schooling | 1.2% (255) | 2.8% (2,234) |
| High School Diploma | 15.6% (3,406) | 9.7% (7,595) |
| Less than High School | 8.2% (1,792) | 14.9% (11,700) |
| Bachelor's Degree and Higher | 15.5% (3,372) | 31.0% (24,275) |
Education Levels Comparison: Montgomery vs Tustin
- In Tustin, a larger percentage of residents lack formal schooling at 2.8% compared to 1.2% in Montgomery.
- A higher percentage of residents in Montgomery hold a high school diploma at 15.6% compared to 9.7% in Tustin.
- The percentage of residents with less than a high school education is higher in Tustin at 14.9%, compared to 8.2% in Montgomery.
- In Tustin, a larger share of residents have a bachelor's degree or higher at 31.0% compared to 15.5% in Montgomery.
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.