Demographics details for Kingman, AZ vs Greenville, NC
Population Overview
Compare main population characteristics in Kingman, AZ vs Greenville, NC.
| Data | Kingman | Greenville |
|---|---|---|
| Population | 34,918 | 89,233 |
| Median Age | 42.1 years | 26.9 years |
| Median Income | $56,360 | $47,485 |
| Married Families | 37.0% | 24.0% |
| Poverty Level | 12% | 23% |
| Unemployment Rate | 4.2 | 5.2 |
Population Comparison: Kingman vs Greenville
- The population in Greenville is higher at 89,233, compared to 34,918 in Kingman.
- Residents in Kingman have a higher median age of 42.1 years compared to 26.9 years in Greenville.
- Kingman has a higher median income of $56,360 compared to $47,485 in Greenville.
- A higher percentage of married families is found in Kingman at 37.0% compared to 24.0% in Greenville.
- The poverty level is higher in Greenville at 23%, compared to 12% in Kingman.
- Greenville has a higher unemployment rate at 5.2% compared to 4.2% in Kingman.
Demographics
Demographics Kingman vs Greenville provide insight into the diversity of the communities to compare.
| Demographic | Kingman | Greenville |
|---|---|---|
| Black | 2 | 39 |
| White | 72 | 50 |
| Asian | 2 | 3 |
| Hispanic | 16 | 4 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kingman vs Greenville
- In Greenville, the percentage of Black residents is higher at 39% compared to 2% in Kingman.
- Kingman has a higher percentage of White residents at 72% compared to 50% in Greenville.
- In Greenville, the Asian population stands at 3%, greater than 2% in Kingman.
- The Hispanic community is larger in Kingman at 16% compared to 4% in Greenville.
- More residents identify as two or more races in Kingman at 7% compared to 4% in Greenville.
- A greater percentage of American Indian residents live in Kingman at 1% compared to 0% in Greenville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingman | Greenville |
|---|---|---|
| Mental Health Not Good | 18.2% | 17.0% |
| Physical Health Not Good | 12.4% | 12.0% |
| Depression | 21.2% | 21.9% |
| Smoking | 19.1% | 17.1% |
| Binge Drinking | 18.5% | 14.2% |
| Obesity | 34.5% | 41.6% |
| Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Kingman vs Greenville
- More residents in Kingman report poor mental health at 18.2% compared to 17.0% in Greenville.
- Higher depression rates are seen in Greenville at 21.9% versus 21.2% in Kingman.
- Smoking is more prevalent in Kingman at 19.1% compared to 17.1% in Greenville.
- Binge drinking is more common in Kingman at 18.5% compared to 14.2% in Greenville.
- Greenville has higher obesity rates at 41.6% compared to 34.5% in Kingman.
- Disability percentages are higher in Kingman at 18.0% compared to 11.0% in Greenville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingman | Greenville |
|---|---|---|
| No Schooling | 0.8% (266) | 0.6% (512) |
| High School Diploma | 15.7% (5,487) | 10.3% (9,215) |
| Less than High School | 13.6% (4,744) | 4.6% (4,082) |
| Bachelor's Degree and Higher | 13.7% (4,777) | 20.9% (18,672) |
Education Levels Comparison: Kingman vs Greenville
- A higher percentage of residents in Kingman have no formal schooling at 0.8% compared to 0.6% in Greenville.
- A higher percentage of residents in Kingman hold a high school diploma at 15.7% compared to 10.3% in Greenville.
- More residents in Kingman have less than a high school education at 13.6% compared to 4.6% in Greenville.
- In Greenville, a larger share of residents have a bachelor's degree or higher at 20.9% compared to 13.7% in Kingman.
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.