Demographics details for Philadelphia, PA vs Peculiar, MO
Population Overview
Compare main population characteristics in Philadelphia, PA vs Peculiar, MO.
Data | Philadelphia | Peculiar |
---|---|---|
Population | 1,567,258 | 5,958 |
Median Age | 34.8 years | 36.2 years |
Median Income | $57,537 | $91,783 |
Married Families | 26.0% | 34.0% |
Poverty Level | 25% | Data is updating |
Unemployment Rate | 4.7 | 3.5 |
Population Comparison: Philadelphia vs Peculiar
- In Philadelphia, the population is higher at 1,567,258, compared to 5,958 in Peculiar.
- The median age in Peculiar is higher at 36.2 years, compared to 34.8 years in Philadelphia.
- Peculiar has a higher median income of $91,783, compared to $57,537 in Philadelphia.
- In Peculiar, the percentage of married families is higher at 34.0%, compared to 26.0% in Philadelphia.
- Philadelphia has a higher poverty level at 25% compared to 0% in Peculiar.
- The unemployment rate in Philadelphia is higher at 4.7%, compared to 3.5% in Peculiar.
Demographics
Demographics Philadelphia vs Peculiar provide insight into the diversity of the communities to compare.
Demographic | Philadelphia | Peculiar |
---|---|---|
Black | 41 | 3 |
White | 29 | 83 |
Asian | 8 | Data is updating |
Hispanic | 16 | 7 |
Two or More Races | 6 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Philadelphia vs Peculiar
- A higher percentage of Black residents are in Philadelphia at 41% compared to 3% in Peculiar.
- The percentage of White residents is higher in Peculiar at 83% compared to 29% in Philadelphia.
- The Asian population is larger in Philadelphia at 8% compared to 0% in Peculiar.
- The Hispanic community is larger in Philadelphia at 16% compared to 7% in Peculiar.
- The percentage of residents identifying as two or more races is higher in Peculiar at 7%, compared to 6% in Philadelphia.
- The percentage of American Indian residents is the same in both Philadelphia and Peculiar at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Philadelphia | Peculiar |
---|---|---|
Mental Health Not Good | 18.0% | 16.9% |
Physical Health Not Good | 12.8% | 10.9% |
Depression | 21.0% | 24.1% |
Smoking | 18.9% | 18.3% |
Binge Drinking | 16.9% | 18.0% |
Obesity | 31.3% | 37.0% |
Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Philadelphia vs Peculiar
- More residents in Philadelphia report poor mental health at 18.0% compared to 16.9% in Peculiar.
- Higher depression rates are seen in Peculiar at 24.1% versus 21.0% in Philadelphia.
- Smoking is more prevalent in Philadelphia at 18.9% compared to 18.3% in Peculiar.
- More residents engage in binge drinking in Peculiar at 18.0% compared to 16.9% in Philadelphia.
- Peculiar has higher obesity rates at 37.0% compared to 31.3% in Philadelphia.
- Disability percentages are higher in Philadelphia at 17.0% compared to 14.0% in Peculiar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Philadelphia | Peculiar |
---|---|---|
No Schooling | 1.5% (23,668) | 0.0% (Data is updating) |
High School Diploma | 18.3% (287,402) | 13.2% (785) |
Less than High School | 13.3% (207,719) | 9.9% (591) |
Bachelor's Degree and Higher | 23.4% (366,310) | 13.2% (787) |
Education Levels Comparison: Philadelphia vs Peculiar
- A higher percentage of residents in Philadelphia have no formal schooling at 1.5% compared to 0.0% in Peculiar.
- A higher percentage of residents in Philadelphia hold a high school diploma at 18.3% compared to 13.2% in Peculiar.
- More residents in Philadelphia have less than a high school education at 13.3% compared to 9.9% in Peculiar.
- A higher percentage of residents in Philadelphia hold a bachelor's degree or higher at 23.4% compared to 13.2% in Peculiar.
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.