Demographics details for Kingman, AZ vs Stuttgart, AR
Population Overview
Compare main population characteristics in Kingman, AZ vs Stuttgart, AR.
| Data | Kingman | Stuttgart |
|---|---|---|
| Population | 34,918 | 7,907 |
| Median Age | 42.1 years | 37.8 years |
| Median Income | $56,360 | $59,124 |
| Married Families | 37.0% | 39.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Kingman vs Stuttgart
- In Kingman, the population is higher at 34,918, compared to 7,907 in Stuttgart.
- Residents in Kingman have a higher median age of 42.1 years compared to 37.8 years in Stuttgart.
- Stuttgart has a higher median income of $59,124, compared to $56,360 in Kingman.
- In Stuttgart, the percentage of married families is higher at 39.0%, compared to 37.0% in Kingman.
- The poverty level is higher in Stuttgart at 18%, compared to 12% in Kingman.
- The unemployment rate is the same in both Kingman and Stuttgart at 4.2%.
Demographics
Demographics Kingman vs Stuttgart provide insight into the diversity of the communities to compare.
| Demographic | Kingman | Stuttgart |
|---|---|---|
| Black | 2 | 42 |
| White | 72 | 53 |
| Asian | 2 | Data is updating |
| Hispanic | 16 | 2 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kingman vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 2% in Kingman.
- Kingman has a higher percentage of White residents at 72% compared to 53% in Stuttgart.
- The Asian population is larger in Kingman at 2% compared to 0% in Stuttgart.
- The Hispanic community is larger in Kingman at 16% compared to 2% in Stuttgart.
- More residents identify as two or more races in Kingman at 7% compared to 3% in Stuttgart.
- A greater percentage of American Indian residents live in Kingman at 1% compared to 0% in Stuttgart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingman | Stuttgart |
|---|---|---|
| Mental Health Not Good | 18.2% | 19.8% |
| Physical Health Not Good | 12.4% | 14.6% |
| Depression | 21.2% | 24.4% |
| Smoking | 19.1% | 23.1% |
| Binge Drinking | 18.5% | 13.6% |
| Obesity | 34.5% | 39.7% |
| Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: Kingman vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 18.2% in Kingman.
- Higher depression rates are seen in Stuttgart at 24.4% versus 21.2% in Kingman.
- Stuttgart has a higher smoking rate at 23.1% compared to 19.1% in Kingman.
- Binge drinking is more common in Kingman at 18.5% compared to 13.6% in Stuttgart.
- Stuttgart has higher obesity rates at 39.7% compared to 34.5% in Kingman.
- There is a higher percentage of disabled individuals in Stuttgart at 20.0% compared to 18.0% in Kingman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingman | Stuttgart |
|---|---|---|
| No Schooling | 0.8% (266) | 0.8% (63) |
| High School Diploma | 15.7% (5,487) | 25.5% (2,015) |
| Less than High School | 13.6% (4,744) | 14.5% (1,144) |
| Bachelor's Degree and Higher | 13.7% (4,777) | 12.0% (948) |
Education Levels Comparison: Kingman vs Stuttgart
- The percentage of residents with no formal schooling is the same in both Kingman and Stuttgart at 0.8%.
- In Stuttgart, the rate of residents with high school diplomas is higher at 25.5% compared to 15.7% in Kingman.
- The percentage of residents with less than a high school education is higher in Stuttgart at 14.5%, 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 12.0% in Stuttgart.
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.