Demographics details for Chandler, OK vs Pittsburg, KS
Population Overview
Compare main population characteristics in Chandler, OK vs Pittsburg, KS.
| Data | Chandler | Pittsburg |
|---|---|---|
| Population | 2,895 | 20,658 |
| Median Age | 40.5 years | 25.7 years |
| Median Income | $48,168 | $42,371 |
| Married Families | 38.0% | 28.0% |
| Poverty Level | 13% | 23% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Chandler vs Pittsburg
- The population in Pittsburg is higher at 20,658, compared to 2,895 in Chandler.
- Residents in Chandler have a higher median age of 40.5 years compared to 25.7 years in Pittsburg.
- Chandler has a higher median income of $48,168 compared to $42,371 in Pittsburg.
- A higher percentage of married families is found in Chandler at 38.0% compared to 28.0% in Pittsburg.
- The poverty level is higher in Pittsburg at 23%, compared to 13% in Chandler.
- The unemployment rate in Chandler is higher at 3.5%, compared to 3.1% in Pittsburg.
Demographics
Demographics Chandler vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Chandler | Pittsburg |
|---|---|---|
| Black | 9 | 3 |
| White | 72 | 78 |
| Asian | 2 | 3 |
| Hispanic | 1 | 11 |
| Two or More Races | 13 | 5 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Chandler vs Pittsburg
- A higher percentage of Black residents are in Chandler at 9% compared to 3% in Pittsburg.
- The percentage of White residents is higher in Pittsburg at 78% compared to 72% in Chandler.
- In Pittsburg, the Asian population stands at 3%, greater than 2% in Chandler.
- Pittsburg has a higher percentage of Hispanic residents at 11%, compared to 1% in Chandler.
- More residents identify as two or more races in Chandler at 13% compared to 5% in Pittsburg.
- A greater percentage of American Indian residents live in Chandler at 3% compared to 0% in Pittsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chandler | Pittsburg |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.3% |
| Physical Health Not Good | 12.7% | 12.5% |
| Depression | 24.6% | 25.0% |
| Smoking | 20.3% | 23.9% |
| Binge Drinking | 14.6% | 19.7% |
| Obesity | 41.1% | 43.5% |
| Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Chandler vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 19.3% compared to 18.4% in Chandler.
- Higher depression rates are seen in Pittsburg at 25.0% versus 24.6% in Chandler.
- Pittsburg has a higher smoking rate at 23.9% compared to 20.3% in Chandler.
- More residents engage in binge drinking in Pittsburg at 19.7% compared to 14.6% in Chandler.
- Pittsburg has higher obesity rates at 43.5% compared to 41.1% in Chandler.
- Disability percentages are higher in Chandler at 18.0% compared to 16.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chandler | Pittsburg |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (150) |
| High School Diploma | 23.9% (691) | 13.0% (2,686) |
| Less than High School | 12.8% (372) | 5.9% (1,222) |
| Bachelor's Degree and Higher | 16.2% (469) | 17.2% (3,562) |
Education Levels Comparison: Chandler vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Chandler.
- A higher percentage of residents in Chandler hold a high school diploma at 23.9% compared to 13.0% in Pittsburg.
- More residents in Chandler have less than a high school education at 12.8% compared to 5.9% in Pittsburg.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 17.2% compared to 16.2% in Chandler.
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.