Demographics details for Haddon heights, NJ vs Madison, WI
Population Overview
Compare main population characteristics in Haddon heights, NJ vs Madison, WI.
Data | Haddon heights | Madison |
---|---|---|
Population | 7,484 | 272,903 |
Median Age | 39.1 years | 31.6 years |
Median Income | $117,556 | $74,895 |
Married Families | 44.0% | 32.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.5 | 2.7 |
Population Comparison: Haddon heights vs Madison
- The population in Madison is higher at 272,903, compared to 7,484 in Haddon heights.
- Residents in Haddon heights have a higher median age of 39.1 years compared to 31.6 years in Madison.
- Haddon heights has a higher median income of $117,556 compared to $74,895 in Madison.
- A higher percentage of married families is found in Haddon heights at 44.0% compared to 32.0% in Madison.
- The poverty level is higher in Madison at 12%, compared to 5% in Haddon heights.
- The unemployment rate in Haddon heights is higher at 3.5%, compared to 2.7% in Madison.
Demographics
Demographics Haddon heights vs Madison provide insight into the diversity of the communities to compare.
Demographic | Haddon heights | Madison |
---|---|---|
Black | 2 | 7 |
White | 92 | 69 |
Asian | 1 | 8 |
Hispanic | 3 | 8 |
Two or More Races | 2 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Haddon heights vs Madison
- In Madison, the percentage of Black residents is higher at 7% compared to 2% in Haddon heights.
- Haddon heights has a higher percentage of White residents at 92% compared to 69% in Madison.
- In Madison, the Asian population stands at 8%, greater than 1% in Haddon heights.
- Madison has a higher percentage of Hispanic residents at 8%, compared to 3% in Haddon heights.
- The percentage of residents identifying as two or more races is higher in Madison at 8%, compared to 2% in Haddon heights.
- The percentage of American Indian residents is the same in both Haddon heights and Madison at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Haddon heights | Madison |
---|---|---|
Mental Health Not Good | 14.5% | 13.8% |
Physical Health Not Good | 8.5% | 8.4% |
Depression | 23.0% | 23.2% |
Smoking | 11.8% | 12.1% |
Binge Drinking | 20.3% | 22.6% |
Obesity | 26.1% | 28.5% |
Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Haddon heights vs Madison
- More residents in Haddon heights report poor mental health at 14.5% compared to 13.8% in Madison.
- Higher depression rates are seen in Madison at 23.2% versus 23.0% in Haddon heights.
- Madison has a higher smoking rate at 12.1% compared to 11.8% in Haddon heights.
- More residents engage in binge drinking in Madison at 22.6% compared to 20.3% in Haddon heights.
- Madison has higher obesity rates at 28.5% compared to 26.1% in Haddon heights.
- Disability percentages are higher in Haddon heights at 12.0% compared to 8.0% in Madison.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Haddon heights | Madison |
---|---|---|
No Schooling | 0.9% (70) | 0.7% (2,009) |
High School Diploma | 11.3% (843) | 7.8% (21,201) |
Less than High School | 5.5% (409) | 4.5% (12,371) |
Bachelor's Degree and Higher | 38.3% (2,863) | 36.4% (99,469) |
Education Levels Comparison: Haddon heights vs Madison
- A higher percentage of residents in Haddon heights have no formal schooling at 0.9% compared to 0.7% in Madison.
- A higher percentage of residents in Haddon heights hold a high school diploma at 11.3% compared to 7.8% in Madison.
- More residents in Haddon heights have less than a high school education at 5.5% compared to 4.5% in Madison.
- A higher percentage of residents in Haddon heights hold a bachelor's degree or higher at 38.3% compared to 36.4% 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.