Demographics details for Kingman, AZ vs Allentown, PA
Population Overview
Compare main population characteristics in Kingman, AZ vs Allentown, PA.
| Data | Kingman | Allentown |
|---|---|---|
| Population | 34,918 | 125,094 |
| Median Age | 42.1 years | 32.4 years |
| Median Income | $56,360 | $52,449 |
| Married Families | 37.0% | 28.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.2 | 4.4 |
Population Comparison: Kingman vs Allentown
- The population in Allentown is higher at 125,094, compared to 34,918 in Kingman.
- Residents in Kingman have a higher median age of 42.1 years compared to 32.4 years in Allentown.
- Kingman has a higher median income of $56,360 compared to $52,449 in Allentown.
- A higher percentage of married families is found in Kingman at 37.0% compared to 28.0% in Allentown.
- The poverty level is higher in Allentown at 18%, compared to 12% in Kingman.
- Allentown has a higher unemployment rate at 4.4% compared to 4.2% in Kingman.
Demographics
Demographics Kingman vs Allentown provide insight into the diversity of the communities to compare.
| Demographic | Kingman | Allentown |
|---|---|---|
| Black | 2 | 13 |
| White | 72 | 11 |
| Asian | 2 | 3 |
| Hispanic | 16 | 54 |
| Two or More Races | 7 | 18 |
| American Indian | 1 | 1 |
Demographics Comparison: Kingman vs Allentown
- In Allentown, the percentage of Black residents is higher at 13% compared to 2% in Kingman.
- Kingman has a higher percentage of White residents at 72% compared to 11% in Allentown.
- In Allentown, the Asian population stands at 3%, greater than 2% in Kingman.
- Allentown has a higher percentage of Hispanic residents at 54%, compared to 16% in Kingman.
- The percentage of residents identifying as two or more races is higher in Allentown at 18%, compared to 7% in Kingman.
- The percentage of American Indian residents is the same in both Kingman and Allentown at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingman | Allentown |
|---|---|---|
| Mental Health Not Good | 18.2% | 18.4% |
| Physical Health Not Good | 12.4% | 15.1% |
| Depression | 21.2% | 22.1% |
| Smoking | 19.1% | 23.2% |
| Binge Drinking | 18.5% | 15.6% |
| Obesity | 34.5% | 39.2% |
| Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Kingman vs Allentown
- In Allentown, a higher percentage report poor mental health at 18.4% compared to 18.2% in Kingman.
- Higher depression rates are seen in Allentown at 22.1% versus 21.2% in Kingman.
- Allentown has a higher smoking rate at 23.2% compared to 19.1% in Kingman.
- Binge drinking is more common in Kingman at 18.5% compared to 15.6% in Allentown.
- Allentown has higher obesity rates at 39.2% compared to 34.5% in Kingman.
- Disability percentages are higher in Kingman at 18.0% compared to 16.0% in Allentown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingman | Allentown |
|---|---|---|
| No Schooling | 0.8% (266) | 1.6% (2,024) |
| High School Diploma | 15.7% (5,487) | 20.1% (25,101) |
| Less than High School | 13.6% (4,744) | 21.8% (27,290) |
| Bachelor's Degree and Higher | 13.7% (4,777) | 11.5% (14,387) |
Education Levels Comparison: Kingman vs Allentown
- In Allentown, a larger percentage of residents lack formal schooling at 1.6% compared to 0.8% in Kingman.
- In Allentown, the rate of residents with high school diplomas is higher at 20.1% compared to 15.7% in Kingman.
- The percentage of residents with less than a high school education is higher in Allentown at 21.8%, compared to 13.6% in Kingman.
- A higher percentage of residents in Kingman hold a bachelor's degree or higher at 13.7% compared to 11.5% in Allentown.
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.