Demographics details for Itasca, TX vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Itasca, TX vs Pittsburgh, PA.
| Data | Itasca | Pittsburgh |
|---|---|---|
| Population | 1,767 | 302,898 |
| Median Age | 36.2 years | 33.5 years |
| Median Income | $58,098 | $60,187 |
| Married Families | 36.0% | 26.0% |
| Poverty Level | 13% | 15% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Itasca vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 1,767 in Itasca.
- Residents in Itasca have a higher median age of 36.2 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $58,098 in Itasca.
- A higher percentage of married families is found in Itasca at 36.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 13% in Itasca.
- The unemployment rate in Itasca is higher at 4.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Itasca vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Itasca | Pittsburgh |
|---|---|---|
| Black | 10 | 23 |
| White | 31 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | 50 | 4 |
| Two or More Races | 8 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Itasca vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 10% in Itasca.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 31% in Itasca.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Itasca.
- The Hispanic community is larger in Itasca at 50% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Itasca at 8% compared to 5% in Pittsburgh.
- A greater percentage of American Indian residents live in Itasca at 1% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Itasca | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 17.8% | 16.3% |
| Physical Health Not Good | 12.4% | 11.7% |
| Depression | 23.2% | 21.1% |
| Smoking | 17.6% | 18.8% |
| Binge Drinking | 17.7% | 19.3% |
| Obesity | 39.3% | 35.0% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Itasca vs Pittsburgh
- More residents in Itasca report poor mental health at 17.8% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Itasca at 23.2% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 17.6% in Itasca.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 17.7% in Itasca.
- Obesity rates are higher in Itasca at 39.3% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Itasca at 15.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Itasca | Pittsburgh |
|---|---|---|
| No Schooling | 1.9% (33) | 0.6% (1,955) |
| High School Diploma | 21.6% (381) | 13.9% (42,015) |
| Less than High School | 15.5% (274) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 9.3% (164) | 32.1% (97,219) |
Education Levels Comparison: Itasca vs Pittsburgh
- A higher percentage of residents in Itasca have no formal schooling at 1.9% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Itasca hold a high school diploma at 21.6% compared to 13.9% in Pittsburgh.
- More residents in Itasca have less than a high school education at 15.5% 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 9.3% in Itasca.
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.