Demographics details for Ironton, MN vs Philadelphia, PA
Population Overview
Compare main population characteristics in Ironton, MN vs Philadelphia, PA.
| Data | Ironton | Philadelphia |
|---|---|---|
| Population | 573 | 1,567,258 |
| Median Age | 35.8 years | 34.8 years |
| Median Income | $48,125 | $57,537 |
| Married Families | 26.0% | 26.0% |
| Poverty Level | Data is updating | 25% |
| Unemployment Rate | 3.2 | 4.7 |
Population Comparison: Ironton vs Philadelphia
- The population in Philadelphia is higher at 1,567,258, compared to 573 in Ironton.
- Residents in Ironton have a higher median age of 35.8 years compared to 34.8 years in Philadelphia.
- Philadelphia has a higher median income of $57,537, compared to $48,125 in Ironton.
- The percentage of married families is the same in both Ironton and Philadelphia at 26.0%.
- The poverty level is higher in Philadelphia at 25%, compared to 0% in Ironton.
- Philadelphia has a higher unemployment rate at 4.7% compared to 3.2% in Ironton.
Demographics
Demographics Ironton vs Philadelphia provide insight into the diversity of the communities to compare.
| Demographic | Ironton | Philadelphia |
|---|---|---|
| Black | Data is updating | 41 |
| White | 97 | 29 |
| Asian | 2 | 8 |
| Hispanic | Data is updating | 16 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ironton vs Philadelphia
- In Philadelphia, the percentage of Black residents is higher at 41% compared to 0% in Ironton.
- Ironton has a higher percentage of White residents at 97% compared to 29% in Philadelphia.
- In Philadelphia, the Asian population stands at 8%, greater than 2% in Ironton.
- Philadelphia has a higher percentage of Hispanic residents at 16%, compared to 0% in Ironton.
- The percentage of residents identifying as two or more races is higher in Philadelphia at 6%, compared to 1% in Ironton.
- The percentage of American Indian residents is the same in both Ironton and Philadelphia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ironton | Philadelphia |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.0% |
| Physical Health Not Good | 10.6% | 12.8% |
| Depression | 24.7% | 21.0% |
| Smoking | 20.1% | 18.9% |
| Binge Drinking | 18.6% | 16.9% |
| Obesity | 32.9% | 31.3% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Ironton vs Philadelphia
- In Philadelphia, a higher percentage report poor mental health at 18.0% compared to 16.3% in Ironton.
- Depression is more prevalent in Ironton at 24.7% compared to 21.0% in Philadelphia.
- Smoking is more prevalent in Ironton at 20.1% compared to 18.9% in Philadelphia.
- Binge drinking is more common in Ironton at 18.6% compared to 16.9% in Philadelphia.
- Obesity rates are higher in Ironton at 32.9% compared to 31.3% in Philadelphia.
- Disability percentages are the same in both Ironton and Philadelphia at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ironton | Philadelphia |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.5% (23,668) |
| High School Diploma | 14.8% (85) | 18.3% (287,402) |
| Less than High School | 17.1% (98) | 13.3% (207,719) |
| Bachelor's Degree and Higher | 10.6% (61) | 23.4% (366,310) |
Education Levels Comparison: Ironton vs Philadelphia
- In Philadelphia, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Ironton.
- In Philadelphia, the rate of residents with high school diplomas is higher at 18.3% compared to 14.8% in Ironton.
- More residents in Ironton have less than a high school education at 17.1% compared to 13.3% in Philadelphia.
- In Philadelphia, a larger share of residents have a bachelor's degree or higher at 23.4% compared to 10.6% in Ironton.
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.