Demographics details for Madison, NC vs Philadelphia, PA
Population Overview
Compare main population characteristics in Madison, NC vs Philadelphia, PA.
Data | Madison | Philadelphia |
---|---|---|
Population | 21,768 | 1,567,258 |
Median Age | 44.6 years | 34.8 years |
Median Income | $56,664 | $57,537 |
Married Families | 45.0% | 26.0% |
Poverty Level | 10% | 25% |
Unemployment Rate | 3.6 | 4.7 |
Population Comparison: Madison vs Philadelphia
- The population in Philadelphia is higher at 1,567,258, compared to 21,768 in Madison.
- Residents in Madison have a higher median age of 44.6 years compared to 34.8 years in Philadelphia.
- Philadelphia has a higher median income of $57,537, compared to $56,664 in Madison.
- A higher percentage of married families is found in Madison at 45.0% compared to 26.0% in Philadelphia.
- The poverty level is higher in Philadelphia at 25%, compared to 10% in Madison.
- Philadelphia has a higher unemployment rate at 4.7% compared to 3.6% in Madison.
Demographics
Demographics Madison vs Philadelphia provide insight into the diversity of the communities to compare.
Demographic | Madison | Philadelphia |
---|---|---|
Black | 1 | 41 |
White | 92 | 29 |
Asian | Data is updating | 8 |
Hispanic | 3 | 16 |
Two or More Races | 4 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Madison vs Philadelphia
- In Philadelphia, the percentage of Black residents is higher at 41% compared to 1% in Madison.
- Madison has a higher percentage of White residents at 92% compared to 29% in Philadelphia.
- In Philadelphia, the Asian population stands at 8%, greater than 0% in Madison.
- Philadelphia has a higher percentage of Hispanic residents at 16%, compared to 3% in Madison.
- The percentage of residents identifying as two or more races is higher in Philadelphia at 6%, compared to 4% in Madison.
- The percentage of American Indian residents is the same in both Madison and Philadelphia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Madison | Philadelphia |
---|---|---|
Mental Health Not Good | 16.5% | 18.0% |
Physical Health Not Good | 11.2% | 12.8% |
Depression | 26.3% | 21.0% |
Smoking | 17.4% | 18.9% |
Binge Drinking | 18.0% | 16.9% |
Obesity | 35.5% | 31.3% |
Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Madison vs Philadelphia
- In Philadelphia, a higher percentage report poor mental health at 18.0% compared to 16.5% in Madison.
- Depression is more prevalent in Madison at 26.3% compared to 21.0% in Philadelphia.
- Philadelphia has a higher smoking rate at 18.9% compared to 17.4% in Madison.
- Binge drinking is more common in Madison at 18.0% compared to 16.9% in Philadelphia.
- Obesity rates are higher in Madison at 35.5% compared to 31.3% in Philadelphia.
- Disability percentages are the same in both Madison 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 | Madison | Philadelphia |
---|---|---|
No Schooling | 1.0% (208) | 1.5% (23,668) |
High School Diploma | 18.5% (4,035) | 18.3% (287,402) |
Less than High School | 15.5% (3,383) | 13.3% (207,719) |
Bachelor's Degree and Higher | 23.1% (5,029) | 23.4% (366,310) |
Education Levels Comparison: Madison vs Philadelphia
- In Philadelphia, a larger percentage of residents lack formal schooling at 1.5% compared to 1.0% in Madison.
- A higher percentage of residents in Madison hold a high school diploma at 18.5% compared to 18.3% in Philadelphia.
- More residents in Madison have less than a high school education at 15.5% 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 23.1% in Madison.
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.