Demographics details for Sneads ferry, NC vs Kingman, AZ
Population Overview
Compare main population characteristics in Sneads ferry, NC vs Kingman, AZ.
Data | Sneads ferry | Kingman |
---|---|---|
Population | 2,140 | 34,918 |
Median Age | 50.3 years | 42.1 years |
Median Income | $40,278 | $56,360 |
Married Families | 51.0% | 37.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Sneads ferry vs Kingman
- The population in Kingman is higher at 34,918, compared to 2,140 in Sneads ferry.
- Residents in Sneads ferry have a higher median age of 50.3 years compared to 42.1 years in Kingman.
- Kingman has a higher median income of $56,360, compared to $40,278 in Sneads ferry.
- A higher percentage of married families is found in Sneads ferry at 51.0% compared to 37.0% in Kingman.
- The poverty level is higher in Kingman at 12%, compared to 9% in Sneads ferry.
- Kingman has a higher unemployment rate at 4.2% compared to 3.5% in Sneads ferry.
Demographics
Demographics Sneads ferry vs Kingman provide insight into the diversity of the communities to compare.
Demographic | Sneads ferry | Kingman |
---|---|---|
Black | 1 | 2 |
White | 89 | 72 |
Asian | 2 | 2 |
Hispanic | 6 | 16 |
Two or More Races | 2 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Sneads ferry vs Kingman
- In Kingman, the percentage of Black residents is higher at 2% compared to 1% in Sneads ferry.
- Sneads ferry has a higher percentage of White residents at 89% compared to 72% in Kingman.
- Both Sneads ferry and Kingman have the same percentage of Asian residents at 2%.
- Kingman has a higher percentage of Hispanic residents at 16%, compared to 6% in Sneads ferry.
- The percentage of residents identifying as two or more races is higher in Kingman at 7%, compared to 2% in Sneads ferry.
- In Kingman, the percentage of American Indian residents is higher at 1%, compared to 0% in Sneads ferry.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sneads ferry | Kingman |
---|---|---|
Mental Health Not Good | 15.6% | 18.2% |
Physical Health Not Good | 9.9% | 12.4% |
Depression | 23.8% | 21.2% |
Smoking | 15.1% | 19.1% |
Binge Drinking | 18.6% | 18.5% |
Obesity | 33.6% | 34.5% |
Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Sneads ferry vs Kingman
- In Kingman, a higher percentage report poor mental health at 18.2% compared to 15.6% in Sneads ferry.
- Depression is more prevalent in Sneads ferry at 23.8% compared to 21.2% in Kingman.
- Kingman has a higher smoking rate at 19.1% compared to 15.1% in Sneads ferry.
- Binge drinking is more common in Sneads ferry at 18.6% compared to 18.5% in Kingman.
- Kingman has higher obesity rates at 34.5% compared to 33.6% in Sneads ferry.
- There is a higher percentage of disabled individuals in Kingman at 18.0% compared to 17.0% in Sneads ferry.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sneads ferry | Kingman |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (266) |
High School Diploma | 23.2% (496) | 15.7% (5,487) |
Less than High School | 17.9% (382) | 13.6% (4,744) |
Bachelor's Degree and Higher | 10.2% (219) | 13.7% (4,777) |
Education Levels Comparison: Sneads ferry vs Kingman
- In Kingman, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Sneads ferry.
- A higher percentage of residents in Sneads ferry hold a high school diploma at 23.2% compared to 15.7% in Kingman.
- More residents in Sneads ferry have less than a high school education at 17.9% 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 10.2% in Sneads ferry.
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.