Demographics details for Wichita, KS vs Burlington, IA
Population Overview
Compare main population characteristics in Wichita, KS vs Burlington, IA.
Data | Wichita | Burlington |
---|---|---|
Population | 396,192 | 23,611 |
Median Age | 35.4 years | 42.9 years |
Median Income | $60,712 | $51,628 |
Married Families | 36.0% | 36.0% |
Poverty Level | 13% | 14% |
Unemployment Rate | 4.1 | 4.3 |
Population Comparison: Wichita vs Burlington
- In Wichita, the population is higher at 396,192, compared to 23,611 in Burlington.
- The median age in Burlington is higher at 42.9 years, compared to 35.4 years in Wichita.
- Wichita has a higher median income of $60,712 compared to $51,628 in Burlington.
- The percentage of married families is the same in both Wichita and Burlington at 36.0%.
- The poverty level is higher in Burlington at 14%, compared to 13% in Wichita.
- Burlington has a higher unemployment rate at 4.3% compared to 4.1% in Wichita.
Demographics
Demographics Wichita vs Burlington provide insight into the diversity of the communities to compare.
Demographic | Wichita | Burlington |
---|---|---|
Black | 10 | 6 |
White | 56 | 81 |
Asian | 5 | 2 |
Hispanic | 18 | 5 |
Two or More Races | 10 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Wichita vs Burlington
- A higher percentage of Black residents are in Wichita at 10% compared to 6% in Burlington.
- The percentage of White residents is higher in Burlington at 81% compared to 56% in Wichita.
- The Asian population is larger in Wichita at 5% compared to 2% in Burlington.
- The Hispanic community is larger in Wichita at 18% compared to 5% in Burlington.
- More residents identify as two or more races in Wichita at 10% compared to 6% in Burlington.
- A greater percentage of American Indian residents live in Wichita at 1% compared to 0% in Burlington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wichita | Burlington |
---|---|---|
Mental Health Not Good | 17.1% | 18.0% |
Physical Health Not Good | 10.7% | 11.5% |
Depression | 21.2% | 22.5% |
Smoking | 20.0% | 21.4% |
Binge Drinking | 16.6% | 21.4% |
Obesity | 40.4% | 40.0% |
Disability Percentage | 15.0% | 18.0% |
Health Statistics Comparison: Wichita vs Burlington
- In Burlington, a higher percentage report poor mental health at 18.0% compared to 17.1% in Wichita.
- Higher depression rates are seen in Burlington at 22.5% versus 21.2% in Wichita.
- Burlington has a higher smoking rate at 21.4% compared to 20.0% in Wichita.
- More residents engage in binge drinking in Burlington at 21.4% compared to 16.6% in Wichita.
- Obesity rates are higher in Wichita at 40.4% compared to 40.0% in Burlington.
- There is a higher percentage of disabled individuals in Burlington at 18.0% compared to 15.0% in Wichita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wichita | Burlington |
---|---|---|
No Schooling | 1.6% (6,509) | 0.6% (136) |
High School Diploma | 13.5% (53,581) | 19.9% (4,694) |
Less than High School | 13.8% (54,534) | 10.2% (2,420) |
Bachelor's Degree and Higher | 20.3% (80,251) | 15.4% (3,625) |
Education Levels Comparison: Wichita vs Burlington
- A higher percentage of residents in Wichita have no formal schooling at 1.6% compared to 0.6% in Burlington.
- In Burlington, the rate of residents with high school diplomas is higher at 19.9% compared to 13.5% in Wichita.
- More residents in Wichita have less than a high school education at 13.8% compared to 10.2% in Burlington.
- A higher percentage of residents in Wichita hold a bachelor's degree or higher at 20.3% 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.