Demographics details for Bartlett, IL vs Wakita, OK
Population Overview
Compare main population characteristics in Bartlett, IL vs Wakita, OK.
| Data | Bartlett | Wakita |
|---|---|---|
| Population | 40,154 | 307 |
| Median Age | 41.1 years | 35.5 years |
| Median Income | $126,555 | $34,375 |
| Married Families | 52.0% | 32.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Bartlett vs Wakita
- In Bartlett, the population is higher at 40,154, compared to 307 in Wakita.
- Residents in Bartlett have a higher median age of 41.1 years compared to 35.5 years in Wakita.
- Bartlett has a higher median income of $126,555 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Bartlett at 52.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 9% in Bartlett.
- The unemployment rate in Bartlett is higher at 5.6%, compared to 3.5% in Wakita.
Demographics
Demographics Bartlett vs Wakita provide insight into the diversity of the communities to compare.
| Demographic | Bartlett | Wakita |
|---|---|---|
| Black | 4 | Data is updating |
| White | 58 | 74 |
| Asian | 17 | Data is updating |
| Hispanic | 15 | 20 |
| Two or More Races | 5 | 4 |
| American Indian | 1 | 2 |
Demographics Comparison: Bartlett vs Wakita
- A higher percentage of Black residents are in Bartlett at 4% compared to 0% in Wakita.
- The percentage of White residents is higher in Wakita at 74% compared to 58% in Bartlett.
- The Asian population is larger in Bartlett at 17% compared to 0% in Wakita.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 15% in Bartlett.
- More residents identify as two or more races in Bartlett at 5% compared to 4% in Wakita.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 1% in Bartlett.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bartlett | Wakita |
|---|---|---|
| Mental Health Not Good | 12.7% | 17.8% |
| Physical Health Not Good | 8.2% | 11.4% |
| Depression | 17.2% | 25.5% |
| Smoking | 11.4% | 17.8% |
| Binge Drinking | 17.7% | 15.8% |
| Obesity | 27.9% | 39.1% |
| Disability Percentage | 8.0% | 19.0% |
Health Statistics Comparison: Bartlett vs Wakita
- In Wakita, a higher percentage report poor mental health at 17.8% compared to 12.7% in Bartlett.
- Higher depression rates are seen in Wakita at 25.5% versus 17.2% in Bartlett.
- Wakita has a higher smoking rate at 17.8% compared to 11.4% in Bartlett.
- Binge drinking is more common in Bartlett at 17.7% compared to 15.8% in Wakita.
- Wakita has higher obesity rates at 39.1% compared to 27.9% in Bartlett.
- There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 8.0% in Bartlett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bartlett | Wakita |
|---|---|---|
| No Schooling | 0.8% (341) | 0.0% (Data is updating) |
| High School Diploma | 13.5% (5,427) | 25.1% (77) |
| Less than High School | 6.1% (2,440) | 10.4% (32) |
| Bachelor's Degree and Higher | 34.2% (13,713) | 11.4% (35) |
Education Levels Comparison: Bartlett vs Wakita
- A higher percentage of residents in Bartlett have no formal schooling at 0.8% compared to 0.0% in Wakita.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 13.5% in Bartlett.
- The percentage of residents with less than a high school education is higher in Wakita at 10.4%, compared to 6.1% in Bartlett.
- A higher percentage of residents in Bartlett hold a bachelor's degree or higher at 34.2% compared to 11.4% in Wakita.
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.