Demographics details for Tucson, AZ vs Overland park, KS
Population Overview
Compare main population characteristics in Tucson, AZ vs Overland park, KS.
| Data | Tucson | Overland park |
|---|---|---|
| Population | 546,574 | 197,726 |
| Median Age | 33.9 years | 38.4 years |
| Median Income | $52,049 | $100,876 |
| Married Families | 30.0% | 44.0% |
| Poverty Level | 13% | 6% |
| Unemployment Rate | 4.1 | 3.3 |
Population Comparison: Tucson vs Overland park
- In Tucson, the population is higher at 546,574, compared to 197,726 in Overland park.
- The median age in Overland park is higher at 38.4 years, compared to 33.9 years in Tucson.
- Overland park has a higher median income of $100,876, compared to $52,049 in Tucson.
- In Overland park, the percentage of married families is higher at 44.0%, compared to 30.0% in Tucson.
- Tucson has a higher poverty level at 13% compared to 6% in Overland park.
- The unemployment rate in Tucson is higher at 4.1%, compared to 3.3% in Overland park.
Demographics
Demographics Tucson vs Overland park provide insight into the diversity of the communities to compare.
| Demographic | Tucson | Overland park |
|---|---|---|
| Black | 5 | 5 |
| White | 29 | 74 |
| Asian | 3 | 9 |
| Hispanic | 44 | 7 |
| Two or More Races | 16 | 5 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Tucson vs Overland park
- The percentage of Black residents is the same in both Tucson and Overland park at 5%.
- The percentage of White residents is higher in Overland park at 74% compared to 29% in Tucson.
- In Overland park, the Asian population stands at 9%, greater than 3% in Tucson.
- The Hispanic community is larger in Tucson at 44% compared to 7% in Overland park.
- More residents identify as two or more races in Tucson at 16% compared to 5% in Overland park.
- A greater percentage of American Indian residents live in Tucson at 3% compared to 0% in Overland park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tucson | Overland park |
|---|---|---|
| Mental Health Not Good | 18.6% | 12.2% |
| Physical Health Not Good | 13.1% | 6.9% |
| Depression | 23.6% | 18.3% |
| Smoking | 17.8% | 9.6% |
| Binge Drinking | 16.5% | 19.7% |
| Obesity | 34.9% | 28.6% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Tucson vs Overland park
- More residents in Tucson report poor mental health at 18.6% compared to 12.2% in Overland park.
- Depression is more prevalent in Tucson at 23.6% compared to 18.3% in Overland park.
- Smoking is more prevalent in Tucson at 17.8% compared to 9.6% in Overland park.
- More residents engage in binge drinking in Overland park at 19.7% compared to 16.5% in Tucson.
- Obesity rates are higher in Tucson at 34.9% compared to 28.6% in Overland park.
- Disability percentages are higher in Tucson at 14.0% compared to 8.0% in Overland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tucson | Overland park |
|---|---|---|
| No Schooling | 1.1% (5,757) | 0.5% (897) |
| High School Diploma | 11.4% (62,581) | 7.1% (13,953) |
| Less than High School | 16.0% (87,637) | 3.3% (6,590) |
| Bachelor's Degree and Higher | 18.6% (101,769) | 43.1% (85,152) |
Education Levels Comparison: Tucson vs Overland park
- A higher percentage of residents in Tucson have no formal schooling at 1.1% compared to 0.5% in Overland park.
- A higher percentage of residents in Tucson hold a high school diploma at 11.4% compared to 7.1% in Overland park.
- More residents in Tucson have less than a high school education at 16.0% compared to 3.3% in Overland park.
- In Overland park, a larger share of residents have a bachelor's degree or higher at 43.1% compared to 18.6% in Tucson.
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.