Demographics details for Anchorage, AK vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Anchorage, AK vs Pittsburgh, PA.
| Data | Anchorage | Pittsburgh |
|---|---|---|
| Population | 287,145 | 302,898 |
| Median Age | 34.5 years | 33.5 years |
| Median Income | $95,731 | $60,187 |
| Married Families | 39.0% | 26.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 4.2 | 3.4 |
Population Comparison: Anchorage vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 287,145 in Anchorage.
- Residents in Anchorage have a higher median age of 34.5 years compared to 33.5 years in Pittsburgh.
- Anchorage has a higher median income of $95,731 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Anchorage at 39.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 11% in Anchorage.
- The unemployment rate in Anchorage is higher at 4.2%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Anchorage vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Anchorage | Pittsburgh |
|---|---|---|
| Black | 5 | 23 |
| White | 55 | 62 |
| Asian | 10 | 6 |
| Hispanic | 10 | 4 |
| Two or More Races | 13 | 5 |
| American Indian | 7 | Data is updating |
Demographics Comparison: Anchorage vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 5% in Anchorage.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 55% in Anchorage.
- The Asian population is larger in Anchorage at 10% compared to 6% in Pittsburgh.
- The Hispanic community is larger in Anchorage at 10% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Anchorage at 13% compared to 5% in Pittsburgh.
- A greater percentage of American Indian residents live in Anchorage at 7% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Anchorage | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 14.5% | 16.3% |
| Physical Health Not Good | 10.3% | 11.7% |
| Depression | 19.5% | 21.1% |
| Smoking | 14.9% | 18.8% |
| Binge Drinking | 17.8% | 19.3% |
| Obesity | 32.9% | 35.0% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Anchorage vs Pittsburgh
- In Pittsburgh, a higher percentage report poor mental health at 16.3% compared to 14.5% in Anchorage.
- Higher depression rates are seen in Pittsburgh at 21.1% versus 19.5% in Anchorage.
- Pittsburgh has a higher smoking rate at 18.8% compared to 14.9% in Anchorage.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 17.8% in Anchorage.
- Pittsburgh has higher obesity rates at 35.0% compared to 32.9% in Anchorage.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 11.0% in Anchorage.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Anchorage | Pittsburgh |
|---|---|---|
| No Schooling | 0.7% (1,971) | 0.6% (1,955) |
| High School Diploma | 13.5% (38,782) | 13.9% (42,015) |
| Less than High School | 5.8% (16,779) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 24.8% (71,274) | 32.1% (97,219) |
Education Levels Comparison: Anchorage vs Pittsburgh
- A higher percentage of residents in Anchorage have no formal schooling at 0.7% compared to 0.6% in Pittsburgh.
- In Pittsburgh, the rate of residents with high school diplomas is higher at 13.9% compared to 13.5% in Anchorage.
- The percentage of residents with less than a high school education is higher in Pittsburgh at 6.6%, compared to 5.8% in Anchorage.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 24.8% in Anchorage.
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.