Demographics details for Woodbine, NJ vs Kingman, AZ
Population Overview
Compare main population characteristics in Woodbine, NJ vs Kingman, AZ.
Data | Woodbine | Kingman |
---|---|---|
Population | 2,142 | 34,918 |
Median Age | 46.8 years | 42.1 years |
Median Income | $41,167 | $56,360 |
Married Families | 29.0% | 37.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Woodbine vs Kingman
- The population in Kingman is higher at 34,918, compared to 2,142 in Woodbine.
- Residents in Woodbine have a higher median age of 46.8 years compared to 42.1 years in Kingman.
- Kingman has a higher median income of $56,360, compared to $41,167 in Woodbine.
- In Kingman, the percentage of married families is higher at 37.0%, compared to 29.0% in Woodbine.
- The poverty level is higher in Kingman at 12%, compared to 8% in Woodbine.
- The unemployment rate in Woodbine is higher at 4.5%, compared to 4.2% in Kingman.
Demographics
Demographics Woodbine vs Kingman provide insight into the diversity of the communities to compare.
Demographic | Woodbine | Kingman |
---|---|---|
Black | 23 | 2 |
White | 27 | 72 |
Asian | Data is updating | 2 |
Hispanic | 30 | 16 |
Two or More Races | 20 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Woodbine vs Kingman
- A higher percentage of Black residents are in Woodbine at 23% compared to 2% in Kingman.
- The percentage of White residents is higher in Kingman at 72% compared to 27% in Woodbine.
- In Kingman, the Asian population stands at 2%, greater than 0% in Woodbine.
- The Hispanic community is larger in Woodbine at 30% compared to 16% in Kingman.
- More residents identify as two or more races in Woodbine at 20% compared to 7% in Kingman.
- In Kingman, the percentage of American Indian residents is higher at 1%, compared to 0% in Woodbine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodbine | Kingman |
---|---|---|
Mental Health Not Good | 20.4% | 18.2% |
Physical Health Not Good | 17.4% | 12.4% |
Depression | 24.0% | 21.2% |
Smoking | 27.6% | 19.1% |
Binge Drinking | 16.0% | 18.5% |
Obesity | 41.6% | 34.5% |
Disability Percentage | 37.0% | 18.0% |
Health Statistics Comparison: Woodbine vs Kingman
- More residents in Woodbine report poor mental health at 20.4% compared to 18.2% in Kingman.
- Depression is more prevalent in Woodbine at 24.0% compared to 21.2% in Kingman.
- Smoking is more prevalent in Woodbine at 27.6% compared to 19.1% in Kingman.
- More residents engage in binge drinking in Kingman at 18.5% compared to 16.0% in Woodbine.
- Obesity rates are higher in Woodbine at 41.6% compared to 34.5% in Kingman.
- Disability percentages are higher in Woodbine at 37.0% 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 | Woodbine | Kingman |
---|---|---|
No Schooling | 13.4% (288) | 0.8% (266) |
High School Diploma | 24.9% (534) | 15.7% (5,487) |
Less than High School | 44.6% (956) | 13.6% (4,744) |
Bachelor's Degree and Higher | 5.3% (113) | 13.7% (4,777) |
Education Levels Comparison: Woodbine vs Kingman
- A higher percentage of residents in Woodbine have no formal schooling at 13.4% compared to 0.8% in Kingman.
- A higher percentage of residents in Woodbine hold a high school diploma at 24.9% compared to 15.7% in Kingman.
- More residents in Woodbine have less than a high school education at 44.6% compared to 13.6% in Kingman.
- In Kingman, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 5.3% in Woodbine.
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.