Demographics details for Montgomery, IL vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Montgomery, IL vs Pittsburgh, PA.
| Data | Montgomery | Pittsburgh |
|---|---|---|
| Population | 21,799 | 302,898 |
| Median Age | 31.7 years | 33.5 years |
| Median Income | $105,240 | $60,187 |
| Married Families | 36.0% | 26.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Montgomery vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 21,799 in Montgomery.
- The median age in Pittsburgh is higher at 33.5 years, compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Montgomery at 36.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 5% in Montgomery.
- The unemployment rate in Montgomery is higher at 3.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Montgomery vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Pittsburgh |
|---|---|---|
| Black | 5 | 23 |
| White | 52 | 62 |
| Asian | 1 | 6 |
| Hispanic | 31 | 4 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Montgomery vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 5% in Montgomery.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 52% in Montgomery.
- In Pittsburgh, the Asian population stands at 6%, greater than 1% in Montgomery.
- The Hispanic community is larger in Montgomery at 31% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Montgomery at 11% compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Montgomery and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 14.6% | 16.3% |
| Physical Health Not Good | 10.3% | 11.7% |
| Depression | 18.8% | 21.1% |
| Smoking | 14.1% | 18.8% |
| Binge Drinking | 17.3% | 19.3% |
| Obesity | 34.4% | 35.0% |
| Disability Percentage | 4.0% | 14.0% |
Health Statistics Comparison: Montgomery vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 14.6% in Montgomery.
- Higher depression rates are seen in Pittsburgh at 21.1% versus 18.8% in Montgomery.
- Pittsburgh has a higher smoking rate at 18.8% compared to 14.1% in Montgomery.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 17.3% in Montgomery.
- Pittsburgh has higher obesity rates at 35.0% compared to 34.4% in Montgomery.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% 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 | Pittsburgh |
|---|---|---|
| No Schooling | 1.2% (255) | 0.6% (1,955) |
| High School Diploma | 15.6% (3,406) | 13.9% (42,015) |
| Less than High School | 8.2% (1,792) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 15.5% (3,372) | 32.1% (97,219) |
Education Levels Comparison: Montgomery vs Pittsburgh
- A higher percentage of residents in Montgomery have no formal schooling at 1.2% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Montgomery hold a high school diploma at 15.6% compared to 13.9% in Pittsburgh.
- More residents in Montgomery have less than a high school education at 8.2% compared to 6.6% in Pittsburgh.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% 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.