Demographics details for Hickman, KY vs Suffolk, VA
Population Overview
Compare main population characteristics in Hickman, KY vs Suffolk, VA.
| Data | Hickman | Suffolk |
|---|---|---|
| Population | 4,422 | 98,537 |
| Median Age | 46.6 years | 38.5 years |
| Median Income | $68,589 | $87,758 |
| Married Families | 41.0% | 40.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 5.7 | 3.2 |
Population Comparison: Hickman vs Suffolk
- The population in Suffolk is higher at 98,537, compared to 4,422 in Hickman.
- Residents in Hickman have a higher median age of 46.6 years compared to 38.5 years in Suffolk.
- Suffolk has a higher median income of $87,758, compared to $68,589 in Hickman.
- A higher percentage of married families is found in Hickman at 41.0% compared to 40.0% in Suffolk.
- Hickman has a higher poverty level at 12% compared to 7% in Suffolk.
- The unemployment rate in Hickman is higher at 5.7%, compared to 3.2% in Suffolk.
Demographics
Demographics Hickman vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Hickman | Suffolk |
|---|---|---|
| Black | 10 | 40 |
| White | 85 | 47 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 5 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hickman vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 10% in Hickman.
- Hickman has a higher percentage of White residents at 85% compared to 47% in Suffolk.
- In Suffolk, the Asian population stands at 2%, greater than 0% in Hickman.
- Suffolk has a higher percentage of Hispanic residents at 5%, compared to 2% in Hickman.
- The percentage of residents identifying as two or more races is higher in Suffolk at 6%, compared to 3% in Hickman.
- The percentage of American Indian residents is the same in both Hickman and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hickman | Suffolk |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.6% |
| Physical Health Not Good | 14.9% | 10.6% |
| Depression | 27.9% | 21.4% |
| Smoking | 23.5% | 15.3% |
| Binge Drinking | 14.4% | 16.6% |
| Obesity | 38.9% | 42.4% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Hickman vs Suffolk
- More residents in Hickman report poor mental health at 19.6% compared to 16.6% in Suffolk.
- Depression is more prevalent in Hickman at 27.9% compared to 21.4% in Suffolk.
- Smoking is more prevalent in Hickman at 23.5% compared to 15.3% in Suffolk.
- More residents engage in binge drinking in Suffolk at 16.6% compared to 14.4% in Hickman.
- Suffolk has higher obesity rates at 42.4% compared to 38.9% in Hickman.
- Disability percentages are higher in Hickman at 20.0% compared to 11.0% in Suffolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hickman | Suffolk |
|---|---|---|
| No Schooling | 0.2% (11) | 1.0% (965) |
| High School Diploma | 23.3% (1,029) | 14.9% (14,643) |
| Less than High School | 15.5% (685) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 16.5% (728) | 21.0% (20,740) |
Education Levels Comparison: Hickman vs Suffolk
- In Suffolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Hickman.
- A higher percentage of residents in Hickman hold a high school diploma at 23.3% compared to 14.9% in Suffolk.
- More residents in Hickman have less than a high school education at 15.5% compared to 7.8% in Suffolk.
- In Suffolk, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 16.5% in Hickman.
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.