Demographics details for Philadelphia, PA vs Eureka, MO
Population Overview
Compare main population characteristics in Philadelphia, PA vs Eureka, MO.
Data | Philadelphia | Eureka |
---|---|---|
Population | 1,567,258 | 12,729 |
Median Age | 34.8 years | 37.9 years |
Median Income | $57,537 | $104,697 |
Married Families | 26.0% | 42.0% |
Poverty Level | 25% | 5% |
Unemployment Rate | 4.7 | 3.2 |
Population Comparison: Philadelphia vs Eureka
- In Philadelphia, the population is higher at 1,567,258, compared to 12,729 in Eureka.
- The median age in Eureka is higher at 37.9 years, compared to 34.8 years in Philadelphia.
- Eureka has a higher median income of $104,697, compared to $57,537 in Philadelphia.
- In Eureka, the percentage of married families is higher at 42.0%, compared to 26.0% in Philadelphia.
- Philadelphia has a higher poverty level at 25% compared to 5% in Eureka.
- The unemployment rate in Philadelphia is higher at 4.7%, compared to 3.2% in Eureka.
Demographics
Demographics Philadelphia vs Eureka provide insight into the diversity of the communities to compare.
Demographic | Philadelphia | Eureka |
---|---|---|
Black | 41 | Data is updating |
White | 29 | 88 |
Asian | 8 | 2 |
Hispanic | 16 | 2 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Philadelphia vs Eureka
- A higher percentage of Black residents are in Philadelphia at 41% compared to 0% in Eureka.
- The percentage of White residents is higher in Eureka at 88% compared to 29% in Philadelphia.
- The Asian population is larger in Philadelphia at 8% compared to 2% in Eureka.
- The Hispanic community is larger in Philadelphia at 16% compared to 2% in Eureka.
- The percentage of residents identifying as two or more races is higher in Eureka at 8%, compared to 6% in Philadelphia.
- The percentage of American Indian residents is the same in both Philadelphia and Eureka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Philadelphia | Eureka |
---|---|---|
Mental Health Not Good | 18.0% | 14.2% |
Physical Health Not Good | 12.8% | 8.7% |
Depression | 21.0% | 22.8% |
Smoking | 18.9% | 14.1% |
Binge Drinking | 16.9% | 21.9% |
Obesity | 31.3% | 30.0% |
Disability Percentage | 17.0% | 7.0% |
Health Statistics Comparison: Philadelphia vs Eureka
- More residents in Philadelphia report poor mental health at 18.0% compared to 14.2% in Eureka.
- Higher depression rates are seen in Eureka at 22.8% versus 21.0% in Philadelphia.
- Smoking is more prevalent in Philadelphia at 18.9% compared to 14.1% in Eureka.
- More residents engage in binge drinking in Eureka at 21.9% compared to 16.9% in Philadelphia.
- Obesity rates are higher in Philadelphia at 31.3% compared to 30.0% in Eureka.
- Disability percentages are higher in Philadelphia at 17.0% compared to 7.0% in Eureka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Philadelphia | Eureka |
---|---|---|
No Schooling | 1.5% (23,668) | 0.0% (Data is updating) |
High School Diploma | 18.3% (287,402) | 10.5% (1,337) |
Less than High School | 13.3% (207,719) | 3.2% (405) |
Bachelor's Degree and Higher | 23.4% (366,310) | 30.1% (3,835) |
Education Levels Comparison: Philadelphia vs Eureka
- A higher percentage of residents in Philadelphia have no formal schooling at 1.5% compared to 0.0% in Eureka.
- A higher percentage of residents in Philadelphia hold a high school diploma at 18.3% compared to 10.5% in Eureka.
- More residents in Philadelphia have less than a high school education at 13.3% compared to 3.2% in Eureka.
- In Eureka, a larger share of residents have a bachelor's degree or higher at 30.1% compared to 23.4% in Philadelphia.
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.