Demographics details for Madison heights, MI vs Omaha, NE
Population Overview
Compare main population characteristics in Madison heights, MI vs Omaha, NE.
Data | Madison heights | Omaha |
---|---|---|
Population | 28,281 | 485,153 |
Median Age | 40.5 years | 35.1 years |
Median Income | $63,224 | $70,202 |
Married Families | 35.0% | 36.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 6.1 | 3.5 |
Population Comparison: Madison heights vs Omaha
- The population in Omaha is higher at 485,153, compared to 28,281 in Madison heights.
- Residents in Madison heights have a higher median age of 40.5 years compared to 35.1 years in Omaha.
- Omaha has a higher median income of $70,202, compared to $63,224 in Madison heights.
- In Omaha, the percentage of married families is higher at 36.0%, compared to 35.0% in Madison heights.
- The poverty level is higher in Omaha at 13%, compared to 10% in Madison heights.
- The unemployment rate in Madison heights is higher at 6.1%, compared to 3.5% in Omaha.
Demographics
Demographics Madison heights vs Omaha provide insight into the diversity of the communities to compare.
Demographic | Madison heights | Omaha |
---|---|---|
Black | 7 | 12 |
White | 82 | 60 |
Asian | 6 | 4 |
Hispanic | 2 | 15 |
Two or More Races | 3 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Madison heights vs Omaha
- In Omaha, the percentage of Black residents is higher at 12% compared to 7% in Madison heights.
- Madison heights has a higher percentage of White residents at 82% compared to 60% in Omaha.
- The Asian population is larger in Madison heights at 6% compared to 4% in Omaha.
- Omaha has a higher percentage of Hispanic residents at 15%, compared to 2% in Madison heights.
- The percentage of residents identifying as two or more races is higher in Omaha at 8%, compared to 3% in Madison heights.
- In Omaha, the percentage of American Indian residents is higher at 1%, compared to 0% in Madison heights.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Madison heights | Omaha |
---|---|---|
Mental Health Not Good | 17.0% | 14.4% |
Physical Health Not Good | 11.1% | 9.7% |
Depression | 22.6% | 19.4% |
Smoking | 18.4% | 15.4% |
Binge Drinking | 17.6% | 20.4% |
Obesity | 32.7% | 36.3% |
Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Madison heights vs Omaha
- More residents in Madison heights report poor mental health at 17.0% compared to 14.4% in Omaha.
- Depression is more prevalent in Madison heights at 22.6% compared to 19.4% in Omaha.
- Smoking is more prevalent in Madison heights at 18.4% compared to 15.4% in Omaha.
- More residents engage in binge drinking in Omaha at 20.4% compared to 17.6% in Madison heights.
- Omaha has higher obesity rates at 36.3% compared to 32.7% in Madison heights.
- Disability percentages are higher in Madison heights at 16.0% compared to 11.0% in Omaha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Madison heights | Omaha |
---|---|---|
No Schooling | 1.5% (418) | 1.7% (8,272) |
High School Diploma | 18.7% (5,298) | 12.1% (58,598) |
Less than High School | 16.4% (4,652) | 11.0% (53,160) |
Bachelor's Degree and Higher | 23.9% (6,763) | 25.9% (125,578) |
Education Levels Comparison: Madison heights vs Omaha
- In Omaha, a larger percentage of residents lack formal schooling at 1.7% compared to 1.5% in Madison heights.
- A higher percentage of residents in Madison heights hold a high school diploma at 18.7% compared to 12.1% in Omaha.
- More residents in Madison heights have less than a high school education at 16.4% compared to 11.0% in Omaha.
- In Omaha, a larger share of residents have a bachelor's degree or higher at 25.9% compared to 23.9% in Madison heights.
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.