Demographics details for Burlington, IA vs Southaven, MS
Population Overview
Compare main population characteristics in Burlington, IA vs Southaven, MS.
| Data | Burlington | Southaven |
|---|---|---|
| Population | 23,611 | 56,360 |
| Median Age | 42.9 years | 35.4 years |
| Median Income | $51,628 | $72,513 |
| Married Families | 36.0% | 37.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Burlington vs Southaven
- The population in Southaven is higher at 56,360, compared to 23,611 in Burlington.
- Residents in Burlington have a higher median age of 42.9 years compared to 35.4 years in Southaven.
- Southaven has a higher median income of $72,513, compared to $51,628 in Burlington.
- In Southaven, the percentage of married families is higher at 37.0%, compared to 36.0% in Burlington.
- Burlington has a higher poverty level at 14% compared to 12% in Southaven.
- The unemployment rate in Burlington is higher at 4.3%, compared to 3.2% in Southaven.
Demographics
Demographics Burlington vs Southaven provide insight into the diversity of the communities to compare.
| Demographic | Burlington | Southaven |
|---|---|---|
| Black | 6 | 35 |
| White | 81 | 55 |
| Asian | 2 | 1 |
| Hispanic | 5 | 5 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Burlington vs Southaven
- In Southaven, the percentage of Black residents is higher at 35% compared to 6% in Burlington.
- Burlington has a higher percentage of White residents at 81% compared to 55% in Southaven.
- The Asian population is larger in Burlington at 2% compared to 1% in Southaven.
- The percentage of Hispanic residents is the same in both Burlington and Southaven at 5%.
- More residents identify as two or more races in Burlington at 6% compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Burlington and Southaven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Burlington | Southaven |
|---|---|---|
| Mental Health Not Good | 18.0% | 15.6% |
| Physical Health Not Good | 11.5% | 10.9% |
| Depression | 22.5% | 22.9% |
| Smoking | 21.4% | 16.7% |
| Binge Drinking | 21.4% | 14.1% |
| Obesity | 40.0% | 39.7% |
| Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Burlington vs Southaven
- More residents in Burlington report poor mental health at 18.0% compared to 15.6% in Southaven.
- Higher depression rates are seen in Southaven at 22.9% versus 22.5% in Burlington.
- Smoking is more prevalent in Burlington at 21.4% compared to 16.7% in Southaven.
- Binge drinking is more common in Burlington at 21.4% compared to 14.1% in Southaven.
- Obesity rates are higher in Burlington at 40.0% compared to 39.7% in Southaven.
- Disability percentages are higher in Burlington at 18.0% compared to 10.0% in Southaven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Burlington | Southaven |
|---|---|---|
| No Schooling | 0.6% (136) | 1.2% (658) |
| High School Diploma | 19.9% (4,694) | 15.8% (8,925) |
| Less than High School | 10.2% (2,420) | 8.7% (4,879) |
| Bachelor's Degree and Higher | 15.4% (3,625) | 16.0% (9,035) |
Education Levels Comparison: Burlington vs Southaven
- In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 0.6% in Burlington.
- A higher percentage of residents in Burlington hold a high school diploma at 19.9% compared to 15.8% in Southaven.
- More residents in Burlington have less than a high school education at 10.2% compared to 8.7% in Southaven.
- In Southaven, a larger share of residents have a bachelor's degree or higher at 16.0% compared to 15.4% in Burlington.
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.