Demographics details for Philadelphia, PA vs Sterling, IL
Population Overview
Compare main population characteristics in Philadelphia, PA vs Sterling, IL.
| Data | Philadelphia | Sterling |
|---|---|---|
| Population | 1,567,258 | 14,566 |
| Median Age | 34.8 years | 43.0 years |
| Median Income | $57,537 | $49,007 |
| Married Families | 26.0% | 32.0% |
| Poverty Level | 25% | 12% |
| Unemployment Rate | 4.7 | 4.2 |
Population Comparison: Philadelphia vs Sterling
- In Philadelphia, the population is higher at 1,567,258, compared to 14,566 in Sterling.
- The median age in Sterling is higher at 43.0 years, compared to 34.8 years in Philadelphia.
- Philadelphia has a higher median income of $57,537 compared to $49,007 in Sterling.
- In Sterling, the percentage of married families is higher at 32.0%, compared to 26.0% in Philadelphia.
- Philadelphia has a higher poverty level at 25% compared to 12% in Sterling.
- The unemployment rate in Philadelphia is higher at 4.7%, compared to 4.2% in Sterling.
Demographics
Demographics Philadelphia vs Sterling provide insight into the diversity of the communities to compare.
| Demographic | Philadelphia | Sterling |
|---|---|---|
| Black | 41 | 2 |
| White | 29 | 56 |
| Asian | 8 | 2 |
| Hispanic | 16 | 27 |
| Two or More Races | 6 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Philadelphia vs Sterling
- A higher percentage of Black residents are in Philadelphia at 41% compared to 2% in Sterling.
- The percentage of White residents is higher in Sterling at 56% compared to 29% in Philadelphia.
- The Asian population is larger in Philadelphia at 8% compared to 2% in Sterling.
- Sterling has a higher percentage of Hispanic residents at 27%, compared to 16% in Philadelphia.
- The percentage of residents identifying as two or more races is higher in Sterling at 12%, compared to 6% in Philadelphia.
- In Sterling, the percentage of American Indian residents is higher at 1%, compared to 0% in Philadelphia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Philadelphia | Sterling |
|---|---|---|
| Mental Health Not Good | 18.0% | 16.7% |
| Physical Health Not Good | 12.8% | 12.2% |
| Depression | 21.0% | 22.2% |
| Smoking | 18.9% | 18.6% |
| Binge Drinking | 16.9% | 17.4% |
| Obesity | 31.3% | 39.5% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Philadelphia vs Sterling
- More residents in Philadelphia report poor mental health at 18.0% compared to 16.7% in Sterling.
- Higher depression rates are seen in Sterling at 22.2% versus 21.0% in Philadelphia.
- Smoking is more prevalent in Philadelphia at 18.9% compared to 18.6% in Sterling.
- More residents engage in binge drinking in Sterling at 17.4% compared to 16.9% in Philadelphia.
- Sterling has higher obesity rates at 39.5% compared to 31.3% in Philadelphia.
- Disability percentages are the same in both Philadelphia and Sterling at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Philadelphia | Sterling |
|---|---|---|
| No Schooling | 1.5% (23,668) | 1.1% (164) |
| High School Diploma | 18.3% (287,402) | 24.1% (3,511) |
| Less than High School | 13.3% (207,719) | 13.8% (2,012) |
| Bachelor's Degree and Higher | 23.4% (366,310) | 11.8% (1,713) |
Education Levels Comparison: Philadelphia vs Sterling
- A higher percentage of residents in Philadelphia have no formal schooling at 1.5% compared to 1.1% in Sterling.
- In Sterling, the rate of residents with high school diplomas is higher at 24.1% compared to 18.3% in Philadelphia.
- The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 13.3% in Philadelphia.
- A higher percentage of residents in Philadelphia hold a bachelor's degree or higher at 23.4% compared to 11.8% in Sterling.
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.